Data science is now an integral part of many industries and one of the hottest topics in IT circles given the massive amounts of data being generated. Its popularity is growing year by year, and companies are beginning to adopt data science techniques to grow their business and increase customer satisfaction.
With the increase in competition between organizations, companies are ready to pay handsome salaries for the field’s best talents. If you are looking for the top data science companies to work for, here are some of the best ones out there.
Looking for a Data Science Career? Explore Here!!
Data Science Jobs
| Sl No | Name of the Company | Location / Address | Designation | Requirements |
| 1 | Strydo technologies Pvt. Ltd. | Tirupati, Andhra Pradesh | Data Scientist | * The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field. |
|
2
|
Quantum AI Systems
|
Visakhapatnam, Andhra Pradesh
|
Machine Learning
|
* Either Internship and/or 1-4 years of hands-on AI/ML/DL experience |
| * Dynamic, GO Getter, Idiotic Thinking & Realisation, Tech Savvy, Passionate is what we are looking from this person and need to have regular updates along with latest developments in AI/ML Space. | ||||
| * You will be the SPOC for all the valuable data extraction from given data, processes from data collection, cleaning, pre-processing, to training models and deploying them to production. | ||||
| * Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress * Verifying data quality, and/or ensuring it via data cleaning | ||||
| * Managing available resources such as hardware, data, personnel so that deadlines are met * Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability | ||||
| * Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world | ||||
| * Supervising the data acquisition process if more data is needed * Finding available datasets online that could be used for training * Defining validation strategies | ||||
| * Defining the pre-processing or feature engineering to be done on a given dataset * Defining data augmentation pipelines * Training models and tuning their hyperparameters | ||||
| * Analyzing the errors of the model and designing strategies to overcome them * Deploying models to production Technical Stack * AI, ML, Python | ||||
| * Deep learning framework such as TensorFlow or Keras * Python and basic libraries for machine learning such as scikit-learn and pandas | ||||
| * Visualizing and manipulating big datasets * Select hardware to run an ML model with the required latency What You Need * Basic coding & programming | ||||
| * Cloud Technologies – AWS or Azure or Salesforce * Artificial Intelligence * Machine Learning * Deep Learning * Python | ||||
| * Salary: ₹54,000.00 – ₹300,000.00 per year | ||||
|
3
|
Vibertech Solutions
|
Vijayawada, Andhra Pradesh
|
MACHINE LEARNING – TRAINEE
|
* Build and evaluate models for machine/Deep learning Image, Object recognition/ |
| * /detection using Deep Learning Text Analysis using Natural Language Processing Work with the team to create new deep learning and ML algorithms and applications. | ||||
| * Identify new research opportunities and formulate relevant technical problems. | ||||
| * Able to design and prototype novel video analysis applications that intelligently extract relevant information and understanding from video data streams. | ||||
| * Able to handle huge video/image data. | ||||
| * 1 year of experience Optimizing Websites professionally or personally. | ||||
|
4
|
Recex
|
Visakhapatnam, Andhra Pradesh
|
Lead Data Analyst
|
* Gathering, organizing, and analyzing data to answer questions and identify key trends. * Use data visualization tools such as Excel spreadsheets and SQL to create graphs and charts that present their findings. |
| * Ability to analyse large data sets and provide statistical data analysis * Helping develop reports and analysis. * Derive intelligent data sets from large scale data | ||||
| * Work with machine learning engineers and predict demand /supply forecast in specific cities * Deep experience in Google Analytics * Experience with Google search console | ||||
| * Do research and provide trend analytics * Mapping and creation of data model changes. * Mining data and organizing and transforming information into logical structures | ||||
| * Document data flow of critical data elements. * Data profiling and assign data classification. | ||||
| * Demonstrated experience in handling large data sets and relational databases. * Experience in data models and statistical data analysis is a must | ||||
| * Two to three year’s experience in any ETL tools such as informatica, Talend, Pentaho etc * Good experience in Google webmaster tools such as Google analytics, search console, Google adwords | ||||
| * Problem solving skills * Understanding of addressing and metadata standards. * High-level written and verbal communication skills. | ||||
| * Should have hands-on experience working on Database (Mongo DB preferred) | ||||
| * Tableau * Google Charts * Data Visualization * Etl Tools * Statistical Data Analysis | ||||
| * ₹6,00,000 – ₹7,00,000 a year | ||||
|
5
|
A O S
|
Vishakhapatnam, Andhra Pradesh
|
Data Scientist
|
* Expertise in business intelligence tools (e.g., Tableau, Power BI, QlikSense) * Strong mathematics skills (e.g., statistics, algebra) |
| * Experience with big data technologies such as Hadoop and Spark * Advanced ability to perform exploratory data analysis * Experience with common data science toolkits | ||||
| * Knowledge of programming languages like SQL, Python, R, and Scala * Working knowledge of statistics * Exceptional technical writing skills | ||||
| * Ability to communicate complex data in a simple, actionable way * Ability to visualize data in the most effective way possible for a given project or study | ||||
| * Analytical and problem-solving skills * Experience with machine learning and AI * Familiarity with data infrastructure management | ||||
| * Ability to work independently and with team members from different backgrounds * Excellent attention to detail | ||||
|
6
|
Karishya Solutions
|
Anantapur, Andhra Pradesh
|
Data Analyst
|
* Use statistical methods to analyze data and generate useful business reports |
| * Work with management team to create a prioritized list of needs for each business segment | ||||
| * Identify and recommend new ways to save money by streamlining business processes | ||||
| * Use data to create models that depict trends in the customer base and the consumer population as a whole | ||||
| * Work with departmental managers to outline the specific data needs for each business method analysis project | ||||
| * Pay: Up to ₹350,000.00 per month | ||||
|
7
|
Enlist Inc
|
Anantapur, Andhra Pradesh
|
Data Analyst
|
* A bachelor’s degree from an authorized college or university. * Working knowledge in data analysis or a similar field. |
| * Ability to assess potential dangers while collaborating with stakeholders. * Having the ability to evaluate current tools and datasets and offer software solutions. | ||||
| * Being able to communicate business needs in simple, non-technical words | ||||
| * Common responsibilities for data analysts include: Gathering data , Finding patterns , Writing reports , Collaborating with stakeholders , Presenting their findings , Creating system | ||||
| * Salary: From ₹420,000.00 per year | ||||
|
8
|
Entrolabs It solutions
|
Vijayawada, Andhra Pradesh
|
Data Analyst
|
* Product development Envisage the product features as per requirement, plan and execute. |
| * Maintaining heigh coding standards and practices and exercisequality control on all aspect of web developement | ||||
| * Breaking new ground, researching and implementing innovative web technologies and features . | ||||
| * problem-solving in all areas of web development | ||||
| * Tableau / Microsoft Power Bi (Model development using statistical methods | ||||
| * Analyze data and generate insight – result interpretation and presentation | ||||
| * analyze data using statistical techniques and provide adhoc and ongoing reports | ||||
|
9
|
Sinzer Group
|
Andhra Pradesh
|
MIS Analyst
|
* Providing support and maintenance of existing management information systems (MIS). |
| * Generating and distributing management reports in accurate and timely manner. | ||||
| * Developing MIS documentation to allow for smooth operations and easy system maintenance. | ||||
| * Performs data analysis for generating reports on periodic basis. | ||||
| * Tracking filed executive visits and feedbacks and preparing performance reports. | ||||
| * Any Graduation | ||||
|
10
|
Invesco
|
Andhra Pradesh
|
Risk Analyst
|
* 2-5 yrs experice in Risk analytics domain. |
| * Hands on knowledge of SQLdatabase queries, advanced excel functions and VBA. | ||||
| * Working knowledge of atleast 1 programming languages; Python or R is an advantage but not mandatory. | ||||
| * Knowledge of systems such as MSCI RiskMetrics, Barra, Bloomberg etc would be a great plus. | ||||
| * Sound understanding of risk measurement techniques such as VaR, Snesitivities, Stress testing and Tracking Error etc. | ||||
| * Expert understanding of various financial instruments and its pricing methodology. Equity, bonds and derivatives. | ||||
| * Sound knowledge of econometrics and factor models | ||||
| * Bachelors/Masters in quantitative subject such as Finance, Statistics, Financial Engineering, Computer Science. | ||||
| 11 | Eruvaka Technologies | Vijayawada / Hyderabad | Data Analyst | * Data analyst who Conduct preliminary data analysis to assess the nature of data., and further analysis to extract meaningful data. |
|
12
|
Netxcell
|
Vijayawada, Andhra Pradesh
|
Data Analytics Developers
|
* Experience in the field Software Development (User Department to specify Domain/ Technology) like Net |
| * JAVA/J2EE/Websphere/PHP/DB2/MySQL/Linux/VB and MS Access/SQL and cloud computing, Server/Oracle, Mobile applications development, etc. | ||||
| * Experience in Tableau report generation. | ||||
| * Master’s Degree in Technology/ Engineering (MTech/ ME) in IT/ Computers/ Computer Science from a recognized University | ||||
| * institution with minimum 60% marks. | ||||
| * B.E/B.Tech in IT/Computers/Computer Science or Master in Computer Application from a recognized University or institution with minimum 60% marks. | ||||
|
13
|
Bayer
|
India
|
Data Analyst
|
* Provide technical contributions in a fast-paced team environment to accelerate efforts on building analytics-driven solutions. |
|
* Work within the analytics community, domain experts, partners in regional area and overseas to curate structured and unstructured data from disparate sources, cleanse and validate the data to ensure accuracy, completeness, and uniformity.
|
||||
| * Assess the needs of automation in data stewardship and data analytics projects, design, implement and sustainable automation solutions. | ||||
| * Use mathematical algorithms and statistics, strong business acumen to deliver insight, recommendations, and solutions. | ||||
| * Develop sustainable, consumable, accurate, and impactful data reporting solutions. | ||||
| * Compile data from internal and external sources and construct data-driven decision-making processes. | ||||
| * Contribute to ongoing data science efforts, utilize available data sets and data science best practices to identify business risks and opportunities. Activity influences procedures and/or company policy. | ||||
| * Independently conceives, plans, and conducts investigations which can have significant influence on technological developments. | ||||
| * Seek and build collaborations on project and workstream initiatives for the Data Science Community. | ||||
| * Work in agile environment, partner with the business and functions, data stewards, domain experts, project | ||||
| * program managers and other scientific teams, engineering. Develop analytics models and scalable analytical solutions that generate insights to drive a competitive advantage. | ||||
| * IT teams to transform data into actionable knowledge and recommendations that can be used to make sound organizational decisions. | ||||
|
14
|
Jasp Information Solutions
|
Visakhapatnam, Andhra Pradesh
|
Business Analyst Trainee
|
* Entry-level position post 4 months training for fresher, he/she would be exposed to multiple roles which involve client interaction and assisting leads in meeting client requirements. |
| * Provide support in data analytics and BI deployments * Documentation on specifications, data validation and quality check and develop scripts for extraction, transformation and loading. | ||||
| * Testing and validating against the requirement and source data * Design and development of dashboards * Publishing and scheduling of business and operational reports. | ||||
| * Must commit to staying with the company for minimum of 2 years post the training period. *Basic knowledge on databases and SQL is must. | ||||
| * Good written and excellent oral communication skills. * Knowledge of data warehousing concepts is preferred. | ||||
| * Good interpersonal skills that will enable successful relationships with clients who are most often in remote sites. | ||||
| * Attention to detail, well organized, able to work under pressure and meet deadlines, on time, every time. | ||||
| * Very prompt and takes initiative towards his/her respective tasks and take ownership of a specific area of work. * BCA / B.Sc Computers / B.Tech / B.E. / MCA | ||||
|
15
|
innData Analytics
|
Visakhapatanam
|
Machine Learning Engineer
|
* Developing ML/AI model architectures * Developing and deploying real-time streaming models on distributed data pipelines |
| * Writing tests and performing code reviews and debugging * Develop new and improve existing ML algorithms * Working closely with stakeholders and other members of the team | ||||
| * Extensive experience in developing and deploying ML in production * Strong programming skills (Python & SQL) * Experience in using TensorFlow, Scikit, Yolo | ||||
| * Deep learning experience * Using deep learning model architectures such as CNN * Confident working with cloud * Exposure to a DevOps environment | ||||
| * Database proficiency * Fluency in English | ||||
|
16
|
EPAM Systems
|
Visakhapatnam, Andhra Pradesh
|
Angular Developer
|
* Implement new features and solutions, change existing one * Pixel perfect page making according to the style guides and mockups |
| * Contribute to technical design * Write unit tests * Do code review * Do bug fix and refactor solutions when needed * Follow established engineering processes | ||||
| * 3+ years experience with Angular * Strong expertise with HTML, CSS, and writing cross-browser compatible code * Experience with RESTful services | ||||
| * Familiar with testing frameworks (Jasmine) * Excellent communication skills in English, both verbal and written (B1+) | ||||
| * Knowledge of Node.js * Experience with Docker * Knowledge of AWS (S3, API Gateway, Lambda) * GitLab, TeamCity experience | ||||
|
17
|
Internet Brands
|
India Remote
|
data science
|
* Proficient with machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests,etc. * Proficient in using query languages such as SQL. |
| * Experience with common data science toolkits, such as R, Scikit-learn, NumPy, Tensorflow. * 2+years of experience implementing machine learning systems at scale in Python (preferred), Scala, or Java. | ||||
| * 2+ years of software development experience in NLP development or text analytics. * Experience with data visualization tools, such as Tableau, D3.js, GGplot etc. | ||||
| * Experience with NoSQL databases, and data processing and storage frameworks like Hadoop, Spark, Kafka, etc. | ||||
| * Knowledge in POS tagger, shallow and deep parser, feature scaling, dimensionality reduction & data | ||||
| * compression techniques TFIDF, SVM, Ensemble models (Bagging, Boosting), model tuning using grid-search etc. | ||||
| * * Understanding of agile software processes, data-driven development, reliability and responsible experimentation. * Understanding of machine learning publications or work on open source to share with us. | ||||
| * Selecting features, building and optimizing classifiers using machine learning techniques * Data mining using state-of-the-art methods. | ||||
| * Responsible to lead the machine learning effort, working with product engineers and data scientists in building content recommendation, personalization | ||||
| * Extending company’s data with third party sources of information when needed. * Processing, cleansing, and verifying the integrity of data used for analysis. | ||||
| * Doing ad-hoc analysis and presenting results in a clear manner. * Apply machine learning, collaborative filtering, NLP, and deep learning methods to massive data sets. | ||||
| * Collaborate with cross-functional agile teams of software engineers, domain experts, and others to build new product features for multiple business units | ||||
|
18
|
Anblicks
|
Vijayawada, Andhra Pradesh
|
Data Scientist
|
* A Computer Science Degree (Bachelors or Masters), Mathematics or Statistics (Masters) |
| * Total of 5-7 years of Big Data, Business Intelligence, Data warehousing, Artificial Intelligence and Machine Learning experience | ||||
| * At least 2 years of experience in data science in rolling out production grade solutions to end customers | ||||
| * Experience in designing and deploying Analytical Systems, End to end. * Excellent problem-solving skills * Strong verbal and written communication skills | ||||
| * Strong hands-on programming experience with R or Python or Java * Hands-on experience with any of the data science platforms such as RapidMiner, SAS and IBM | ||||
| * Sound understanding of machine learning algorithms, including classification, clustering, association and recommendation generation | ||||
| * Familiarity with Open Source Machine Learning (R, Python), NLP toolkits and deep learning frameworks (TensorFlow, Keras, H2O etc.) | ||||
| * Working experience with statistical inference * Experience using cloud computing and storage frameworks such as Amazon AWS (EC2, S3, Redshift, RDS) and Microsoft Azure Storage | ||||
| * Experience with BI (Tableau, Oracle, IBM, Microsoft), Data Science (RapidMiner/ SAS/ IBM), NoSQL (MongoDB, Cassandra, Hadoop, Spark), RDBMS (Oracle, SQL Server) tools | ||||
|
19
|
Virtusa Corporation
|
India Remote
|
Data Scientist
|
* Bachelors or Masters Engineering in Computer Science preferred though not mandatory, or related quantitative field Experience with analyzing and quantifying data collected through crowd sourcing protocols |
| * Strong experience with descriptive statistics and visualization tools * Solid experience with Natural Language Processing * Expert in Python command line usage Bash Solid experience with SQL | ||||
| * Knowledge of statistical modelling machine learning techniques Deep Learning Good to have * Experience with data selection methods identify how to choose which data for which experimental set ups | ||||
| * Excellent communication and organizational skills with significant attention to detail Experience with big data tools Hive Pig and familiarity experience with AWS technology stack S3Redshift Good to have | ||||
| * Demonstrable track record dealing well with ambiguity prioritizing needs and delivering results in an agile dynamic environment | ||||
| * NLPText Extraction from various sources MS Wordplain text filespdf fileshtml pages, etcText CleaningText PreProcessingTokenizatio POS taggingNER, | ||||
| * Dependency ParsingCoreference Resolution, Feature Vector Generation binarycounttfidf etc word2vecdoc2vecglove RAKE, document similarity Cosine, | ||||
| * Jaccardetc fuzzy text matching Lexical and Semantic Information Extraction | ||||
| * Techniques text clustering kmeans, DBSACNetc text classification Nve Bayes MAXENTSVM Tree Based models other ML & Deep Learning model | ||||
|
20
|
Netxcell Limited
|
Vijayawada, Andhra Pradesh
|
Data Scientist
|
* 3 yrs experience in the field of Data Science applications, Software Development (User Department to specify Domain/ Technology), Knowledge in Information Security, IOT; |
| * 3 years of experience should be in application software design & development (.Net or JAVA/J2EE/Websphere/PHP/DB2/MySQL/Linux/VB and MS Access/SQL, Server/Oracle, etc) | ||||
| * 3 yrs Experience in any Data Analytical Tools Tableau. | ||||
| * B.E/B.Tech in IT/Computers/Computer Science or Master in Computer Application from a recognized University or institution with minimum 60 PERCENT marks. | ||||
| * websphere , oracle , computer application , ms access , vb , sql , java , linux , j2ee , .net , php , mysql | ||||
|
21
|
Hyqoo
|
India Remote
|
Data Scientist
|
* Interpret messy structured and unstructured data to produce actionable insights * Work with parallelized and modular data ingest and machine learning techniques |
| * Improve the performance of project’s automation and machine learning pipelines * Work with experts to generate de-identified datasets for evaluating our ML algorithms | ||||
| * Orchestrate the training, deployment, and evaluation of ML pipelines across multiple customer deployments. * Collaborate with other team members and stakeholders | ||||
| * Building models to address business problems * Undertaking data collection, pre-processing and analysis * Critical thinking and problem-solving skills | ||||
| * Masters/PhD in Statistics, Computer Science or related field * Strong understanding of the core principles of statistical/machine learning * Experience with Natural Language Processing tools (e.g. Spacy) | ||||
| * Python expertise (4+ years’ experience) * Proficient understanding of code versioning tools (i.e. git) * Familiarity with Jupyter notebooks or other data science tools | ||||
| * Strong data visualization skills (Tableau, matplotlib, etc.) * Postgres or SQL expertise * A hands-on, engaged approach to solving problems | ||||
| * Excellent communication skills and experience in collaborative environments * The desire to be continually learning about emerging technologies/industry trend | ||||
| * Data Science, SQL, Tablu, Data Analytics | ||||
|
22
|
TCS
|
Pan India
|
Data Scientist
|
* Experience in developing, Deploying, supporting models in Production |
| * Experience in developing end-to-end models using machine learning for predictive modelling in a business/industry environment, i.e. feature engineering, model creation and evaluation | ||||
| * Ability to write clean, elegant and maintainable production-level code in Python and R, and experience in version control, testing, refactoring | ||||
| * Experienced coder in Data Science languages such as Python(Pandas, Scikit Learn, etc.) , Matlab and R | ||||
| * Has firm grasp and demonstrable experience on the principles of the model development lifecycle and producing machine learning models that stand up to statistical rigor | ||||
| * Has good knowledge and understanding of Shell.ai, GIT, Azure, CI/CD pipelines * Has experience in ML ops: * Machine Learning and Statistics | ||||
| * Optimization (e.g. linear programming, multi-objective optimization, meta-heuristics, etc.) * Strong communication skills, especially explaining technical concepts to business people | ||||
| * Extensive experience working in small, empowered, delivery focused, cross-functional and collaborating teams | ||||
| * Experience of working in a virtual team and with virtual stakeholders | ||||
| * Knowledgeable in at least one of the following topics: Computer Vision, Deep Learning, NLP and reinforcement learning | ||||
| * Experience working with one of the big cloud environments (e.g. AWS, Azure, GCP, etc.) | ||||
|
23
|
Karishya Solutions
|
Anantapur, Andhra Pradesh
|
Data Analyst
|
* Use statistical methods to analyze data and generate useful business reports * Work with management team to create a prioritized list of needs for each business segment |
| * Identify and recommend new ways to save money by streamlining business processes | ||||
| * Use data to create models that depict trends in the customer base and the consumer population as a whole | ||||
| * Work with departmental managers to outline the specific data needs for each business method analysis project | ||||
|
24
|
Entrolabs It solutions
|
Vijayawada, Andhra Pradesh
|
Data Analyst
|
* Tableau / Microsoft Power Bi (Model development using statistical methods * Analyze data and generate insight – result interpretation and presentation |
| analyze data using statistical techniques and provide adhoc and ongoing reports) | ||||
| * Product development Envisage the product features as per requirement, plan and execute. * Maintaining heigh coding standards and practices and exercisequality control on all aspect of web developement | ||||
| * Breaking new ground, researching and implementing innovative web technologies and features . * problem-solving in all areas of web development | ||||
|
25
|
Hloov
|
India Remote
|
Data Scientist
|
* Develop machine learning solutions for diverse business problems and build prototypes using algorithms based on machine learning, statistics, and optimization. |
| * Work closely with engineering teams to identify and answer important product questions. | ||||
| * There is a lot to learn in this world, and we’re always trying out new things. Learning new skills rapidly and applying as needed, | ||||
| * Employ structured approaches to leveraging large data sets to uncover new insights. * Present and defend results to leadership audiences, both technical and non-technical. | ||||
| * Collaborate closely with data analysts, data engineers, and business and project stakeholders to incorporate their expertise into data science solutions. | ||||
| * Manipulating and analyzing complex, high-dimensionality data from varying sources to solve difficult problems. | ||||
| * Develop and utilize cutting-edge data science techniques to solve the complex problems of the infrastructure, construction, and other built environment sectors. | ||||
| * Understand the context of the business and build exciting new products which are both novel and impactful. | ||||
| * Explore the latest research topics & technologies in AI with a focus on their applicability to industry problems. | ||||
| * Ability to effectively work in a collaborative multiple project team environment and ship production features in a fast-paced startup environment. | ||||
| * Master’s degree or Ph.D. in Statistics, Data Science, Applied Mathematics, Computer Science, Economics, or equivalent technical field. | ||||
| * Must have at least two (2) years of experience with exploratory data analysis, statistical analysis, and testing. | ||||
| * Have a minimum of one (1) year of experience in applying, implementing, or developing algorithms for machine learning, artificial intelligence, or statistics. | ||||
| * Proficient with one or more data mining tools such as Python, R, Matlab, SQL, experience in large-scale data processing like Spark/Hadoop/Hive will make your profile stand out. | ||||
| * Should be able to self-teach in new domains, work independently and ramp up quickly on complex and unfamiliar code. | ||||
| * Experience using big data platforms such as Hadoop, Spark, Hive, Cassandra. * You should have a deep understanding of predictive modeling, machine learning, clustering and classification techniques, and algorithms. | ||||
| * Experience with application development practices and version control systems. * Must have an intense intellectual curiosity and passion for solving real-world problems for enterprises and consumers. | ||||
| * The candidate should have an entrepreneurial spirit, an agile work style, and a growth mindset. * The candidate must have the right work ethic, attitude, and skills to keep up with a fast-paced environment. | ||||
| * A team player who knows how to collaborate, brainstorm with people of different skills and backgrounds to drive required outcomes. | ||||
| * Must be able to effectively communicate ideas with excellent communication, presentation, and writing skills. | ||||
| * Experience with database/compiler internals and containerization technologies (e.g., B+ trees, query optimization, SQL query compiler, Kubernetes, Docker) | ||||
|
26
|
Pfizer
|
Machilipatnam, Andhra Pradesh
|
Data Engg.
|
* Leverage data wrangling techniques to deliver data pipelines that Ingest and integrate data from various information sources and deliver high quality data products that drive analytics and data science applications |
| * Translate data needs into intro programable queries and convert Python based data wrangling code into PySpark/SQL pipelines for scalable pushdown execution | ||||
| * Conduct basic data profiling and quality checks * Fine tune performance on datasets for visualization and other applications | ||||
| * Develop automated and self-monitoring data pipelines including automated QA/QC processes | ||||
| * Work with stakeholders to assist with data-related technical issues and support data infrastructure needs. | ||||
| * Bachelor’s degree in analytics engineering related area (Data Science, Computer Engineering, Computer Science, Information Systems or related discipline) | ||||
| * 2+ years of work experience as an analyst/analytics engineer for a diverse range of projects * Strong hands-on skills in analytics engineering (e.g., Python, industrialized ETL software) | ||||
| * Experience working in a cloud based analytics ecosystem (AWS, Snowflake, etc) * Experience with working with various types of data (structured / unstructured) | ||||
| * Understanding of data ingestion, data warehousing, and data model concepts * Knowledge of relational and dimensional data structures, theories, and practices | ||||
| * Proficient in SQL, Python * Highly self-motivated to deliver both independently and with strong team collaboration. * Ability to creatively take on new challenges and work outside comfort zone. | ||||
| * Strong aptitude for learning new technologies and analytics techniques. * Advanced degree in Data Science, Computer Engineering, Computer Science, Information Systems or related discipline | ||||
| * Experience with Dataiku is a plus * Hands on experience working in Agile teams, processes, and practices * Experience with hands-on skills in containerization (e.g. AWS EKS, Kubernetes) | ||||
| * Experience with hands-on skills for data pipeline orchestration (e.g. Airflow) * Understanding of data science development lifecycle (e.g CRISP) | ||||
| * Pharma & Life Science commercial functional knowledge is a plus * Pharma & Life Science commercial data literacy is a plus | ||||
|
27
|
TabSqare
|
India Remote
|
Data Scientist
|
* Degree in Statistics,Mathematics, Engineering, Physics or any similar discipline * 4-5 years of relevant working experience * Proficient in RDBMS such as PostgreSQL or MySQL. |
| * Expertise in Python, especially data science and data wrangling libraries such as numpy, pandas etc * Strong analytical, data interpretation and problem solving skills | ||||
| * Good grasp of basic statistical concepts and ML algorithms * Basic knowledge of AI/ML model deployment lifecycle | ||||
| * Strong understanding of the practical applications of machine-learning approaches around supervised and unsupervised learning tasks. | ||||
| * Familiarity with Big Data technologies such as Spark, MPP Databases * Self-motivated, independent learner, and willing to share knowledge with team members | ||||
| * Detail-oriented and efficient time manager in a dynamic and fast-paced working environment * Practical experience in creating large scale recommender systems | ||||
| * Testing and deployment of APIs for large scale production systems * Experience in building ML models at scale, using big data pipelines on platforms such as Spark | ||||
| * Understanding of deep learning frameworks such as Tensorflow/PyTorch * Experience with GCP/BigQuery | ||||
|
28
|
Flexing It
|
India Remote
|
Freelance Data Scientist
|
* To Continuously develop, deploy & test variety of models for demand sensing, forecasting & optimization in O9 * Use latest advancements in AI/ML to better the results of the models in O9 |
| * Work collaboratively with Demand Planners, IT, O9 Team, Data Owners to improve results of the too | ||||
| * Own the results and resolve the queries from Demand Planners or any other stakeholder around the modelling, features or any aspect of results | ||||
| * Incorporate the feedback and re-run the models with new or improved features to improve the results * Share and discuss the KPIs with the relevant stakeholders | ||||
| * Set clear strategy to improve the results of the catalogue or part of business which is not accurately predicted through O9 * To develop reports and dashboards as per requirements from Demand Planners | ||||
| * develop prediction systems, present the data in a clear manner, and propose solutions and strategies to improve the forecasting results in a short and long horizon | ||||
| * Add more relevant features and delete redundant ones from the models * . To ensure the accuracy of data coming from sour * Improvement in the KPIs like Forecast Accuracy, Bias, Value Add, Speed etc | ||||
| * Explain ability of the results & its association with demand drivers/features * Accuracy in the data * Data Quality and Governance | ||||
| * Strong programming skills & experience in using Python/R * Understanding of Supply Chain concepts * . Proficient in handling and processing large amounts of data | ||||
| * Knowledge of statistical & machine learning algorithms | ||||
| * Experience in building scalable ML frameworks for demand sensing including Identifying and collecting relevant input data, feature engineering, tuning and testing. | ||||
| * Masters Degree in Computer Science, Applied Mathematics, Statistics, Engineering, Business Analytics, Operations, or related field. | ||||
| * Highly Analytical, Communication Skills, Data Savvy, Problem Solving Skills | ||||
|
29
|
Marine Debt Management
|
India Remote
|
Machine Learning Engg
|
* Consulting with managers to determine and refine machine learning objectives. |
| * Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models. | ||||
| * Transforming data science prototypes and applying appropriate ML algorithms and tools. * Ensuring that algorithms generate accurate user recommendations. | ||||
| * Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions. | ||||
| * Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks. | ||||
|
30
|
Redaptive
|
India Remote
|
DS
|
* Analyze time series data from a broad suite of energy efficiency technologies to calculate site and portfolio performance, usage trends, anomalies, variability, etc |
| * Develop and deliver visualizations, dashboards, and presentations to communicate analysis results with project stakeholders. | ||||
| * Support time-sensitive questions from sales, accounts, and operations teams on regular Measurement and Verification (M&V) computation results, trends, and anomalies. | ||||
| * Lead deep-dive investigations into performance and data anomalies, coordinating and communicating results with the account, sales, and operations teams. | ||||
| * Produce trade-off analyses and contribute to the development of various energy conservation methods, M&V methods, and energy usage models. | ||||
| * Seek and incorporate internal and external datasets to enrich reporting and analyses | ||||
| * Develop predictive models for energy consumption, energy savings, anomaly detection, time-series classification, natural language processing, and other sustainability domains. | ||||
| * 3+ years of professional data science experience. * Experience writing Python and its data ecosystem (Jupyter, NumPy, Pandas, etc.). | ||||
| * Experience with modern machine learning techniques and libraries within the Python ecosystem (scikit-learn, XGBoost, TensorFlow, PyTorch, etc.). | ||||
| * Deep expertise with querying relational (SQL) databases, non-relational databases (NoSQL), and RESTful APIs. | ||||
| * Tendency towards curiosity and experimentation with strong attention to detail. * Experience working with building efficiency, HVAC systems, and/or energy. | ||||
| * Bachelor’s degree (or higher) in statistics, economics, STEM, or similarly quantitative field preferred or relevant work experience. | ||||
| * Excellent story-telling skills including the ability to tailor and deliver presentations on complex data analyses to both technical and non-technical audience | ||||
| * Experience collaborating through a version control system (Git, GitHub, GitLab, etc.) | ||||
|
31
|
Degreed
|
India Remote
|
Data Science
|
* Strong coding skills in Python, or R * Advanced skills in database querying (SQL, noSQL) and search techniques * Experience building prototypes and experiments to validate technical ideas |
| * Familiarity in developing cloud-based solutions using micro-services architecture, docker containers and Kubernetes | ||||
| * Ability to work in different coding environments (local, notebooks, containers) and familiar with software engineering workflows (testing, code management/Git) | ||||
| * Ability to blend together diverse data sources to create training data for specific problems | ||||
| * Excellent written and verbal communication skills. We’re a distributed team and rely on good communication to perform at a high level | ||||
| * Experience working remotely – It takes a self-motivated individual to thrive on a distributed team * You are a lifelong learner and passionate about learning new things and taking on new challenges | ||||
| * Experience working with graph data models (RDF, Property), graph query languages (Gremlin, SPARQL, Cypher), or graph databases (Azure CosmosDB, Amazon Neptune, Neo4J, TigerGraph) | ||||
| * Experience in Natural Language Processing techniques for entity resolution, disambiguation, and linking | ||||
| * Experience with tools and platforms like ElasticSearch, Microsoft Azure, AWS, BERT, GPT, Word2Vec (w2v), Databricks | ||||
| * A proven track record leading successful applied data science projects * Educational/Certification Requirements | ||||
| * Master or PhD degree in a quantitative field like Computer Science, Applied Math, Physics, Data Science, Analytics, etc | ||||
|
32
|
Transmission
|
India Remote
|
DS
|
* Development of multi-channel marketing dashboards & visualizations including management of data streams through ETL / Data connectivity platforms. * Hands-on with data science and machine learning projects |
| * Understand Transmission’s current analytic capabilities and access to media platforms * You will be able to analyse client 1st party marketing interaction data and connect with 3rd party data sets. | ||||
| * Develop requirements and collaborate with analytic team leaders to integrate analytic solutions into Transmission’s or client product platforms. | ||||
| * Use your data science experience to identify the best analytic approach to solve complex marketing problems facing B2B clients including: | ||||
| * Create & deploy proprietary audience propensity models for media teams within the digital media activation ecosystem | ||||
| * Demonstrated knowledge of multi-channel attribution to see each channel’s value and importance for a campaign | ||||
| * Experience in working within Media platforms to implement custom audience segmentation. * Experience in A/B testing within web, email, and advertising utilities. | ||||
| * Consult and approve ETL and data architecture within Transmissions client data lake * Design, develop, and evaluate unsupervised, supervised, and reinforcement machine learning algorithms. | ||||
| * Master’s degree in computational, mathematical, engineering, or scientific field * 1-2 years of industry experience in areas such as data science, machine learning, artificial intelligence, and statistics application | ||||
| * Working knowledge of the following languages SQL, Python, R, etc. – Must. * Familiarity with ETL design, development, automation, monitoring, and support of API connections to various platforms. | ||||
| * Knowledge of AWS and Snowflake infrastructures * Working experience manipulating structured and unstructured data sets | ||||
| * Ability to join, explore, and establish quality checks on data from various disparate sources * Capable of reducing vast amounts of unstructured data into manageable inputs that provide actionable insights | ||||
| * Ability to apply techniques to data with missing values, outliers, and inconsistent formatting | ||||
|
33
|
AKS ProTalent
|
India Remote
|
DS
|
* Identify valuable data sources and automate collection processes * Undertake preprocessing of structured and unstructured data |
| * Analyze large amounts of information to discover trends and patterns * Build predictive models and machine-learning algorithms * Combine models through ensemble modeling | ||||
| * Present information using data visualization techniques * Propose solutions and strategies to business challenges * Collaborate with engineering and product development teams | ||||
| * Proven experience as a Data Scientist or Data Analyst *Experience in data mining *Understanding of machine-learning and operations research | ||||
| * Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset *Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) | ||||
| * Analytical mind and business acumen * Strong math skills (e.g. statistics, algebra) *Problem-solving aptitude * Excellent communication and presentation skills About the company | ||||
|
34
|
Future Focus Infotech Pvt. Ltd.
|
India Rem
|
DS
|
* Bachelor’s/ Master’s degree in Statistics, Mathematics, Computer Science or a related field and 3 years’ experience in an analytics/DS related field |
| * High proficiency in data mining, modelling, validation and insight generation. * Excellent working knowledge of statistics, mathematics, machine learning, data mining, deep learning | ||||
| * High proficiency in coding including Python, Java and SQL * Experience with databases (for example, DB2, Oracle, SQL Server) | ||||
| * Experience with Big Data technologies such as Pig, Hadoop,Hive and/or Spark * Exposure to Statistical Toolkits such as R, Weka, MATLAB etc. | ||||
| * Experience with data visualization tools PowerBI, Tableau, R Shiny, etc. preferred * Deep learning frameworks such as TensorFlow, Keras, Torch, Theano | ||||
| * Understanding/experience with the Google Cloud Platform/AWS/Azure * Proven ability to collaborate and work in teams * Excellent with communications and stakeholder engagement | ||||
| * Data science publications in recognized platforms/journals * Proven ability to work in agile mode on data science sprint projects | ||||
|
35
|
Draft
|
India Remote
|
ML
|
* An effective communicator, you have the charisma to command attention, strategize and problem-solve on your feet when needed with internal and external team members |
| * A Self-Starter, you know your craft but are still eager to improve your skillset in the ever-evolving space of Machine Learning. | ||||
| * Ownership, you have a strong sense of responsibility and accountability for the tasks/projects you work on. | ||||
| * Leadership, manage people, situations, and items effectively to shape and guide the growth of AI at Draft. * Research: Stay up-to-date with the latest research in NLP/NLU space. | ||||
| * Design: Participate in product design discussions and decisions | ||||
| * Implement: Develop and implement AI software/products aligned with the growing demands of our customers. Test, debug, support | ||||
| * enhance software as per product specifications. Participate in swift iteration cycles related to Training/Finetuning + Testing + Deployment of NLP models | ||||
| * Collaborate: Work with various teams to establish organizational best practices that scale with our team and products, consistently resulting in high-quality software systems that set industry standards. | ||||
| * Mentor: You shall mentor, support, and lead a small team of NLP Engineers * hands-on experience working with ML Technologies and building ML models with Python. | ||||
| * experience working with NLP/NLU based technologies * Ability to understand business problems and formulate them as Machine Learning problems | ||||
| * A Research-to-Implementation Mindset: ability to spearhead a project from ideation to deployment in production * Strong understanding of NLP/NLU fundamentals |
Choosing the best data science company can start your journey to a bright future. But with increasing competition, you need to stand out from the crowd. A data science certification from a reputable organization will give you a competitive edge and help advance your career.
Looking for a Data Science Career? Explore Here!!
Related Articles
