data scientist

FLOWATT BATTERY SCIENCE PRIVATE LIMITED

<p><b>Job Title:</b> Data Scientist<br/><b>Location:</b> Bengaluru, India<br/><b>Experience Required:</b> 7 -8 years</p><p><b>About Us</b><br/>Flowatt is an innovative energy storage company building the next generation of Lithium-Ion battery systems. We combine advanced engineering with data-driven insights to optimize battery performance, reliability, and safety.</p><p><b>Role Overview</b><br/>We are seeking a skilled <b>Data Scientist</b> to join our in-house R&amp;D team. You will work closely with battery engineers and product teams to analyze large datasets, develop predictive models, and extract actionable insights that drive product innovation and operational excellence.</p><p><b>Key Responsibilities</b></p><ul><li>Collect, clean, and analyze large datasets from battery testing and operations.</li><li>Develop predictive models and machine learning algorithms for performance optimization and failure prediction.</li><li>Collaborate with engineering teams to translate insights into design improvements.</li><li>Build dashboards and visualization tools for real-time monitoring and decision-making.</li><li>Contribute to research papers, patents, and technical documentation.</li></ul><p><b>Requirements</b></p><ul><li>Master&rsquo;s or Bachelor&rsquo;s degree in Data Science, Computer Science, Statistics, or related field.</li><li>7-8 years of hands-on experience in data science or applied machine learning.</li><li>Strong knowledge of Python, SQL, and machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).</li><li>Experience with data visualization tools (Tableau, Power BI, or matplotlib).</li><li>Knowledge of time-series analysis and predictive modeling (preferred).</li><li>Prior experience in energy storage, batteries, or related fields will be an advantage.</li></ul><p><b>Why Join Us</b></p><ul><li>Be part of a pioneering company shaping the future of clean energy.</li><li>Work on challenging, real-world problems with direct impact.</li><li>Collaborative, innovation-driven work environment.</li><li>Competitive compensation and growth opportunities.</li></ul><p>Job Type: Full-time</p><p>Pay: &#8377;100,000.00 - &#8377;120,000.00 per month</p><p>Benefits:</p><ul><li>Health insurance</li><li>Paid sick time</li></ul><p>Experience:</p><ul><li>Data scientist: 7 years (Preferred)</li></ul><p>Work Location: In person</p>

Data Scientist

Birlasoft

<div>
 <p>
  Data Scientist experience (8 to 10 years)
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   5 years of relevant work experience as a data scientist
  </li>
  <li>
   Experience designing and building statistical forecasting models.
  </li>
  <li>
   Experience in Python, PySpark, Azure Machine Learning, OpenAI and SQL
  </li>
  <li>
   Minimum 2 years of experience in Azure Cloud using Natural Language API, MLflow
  </li>
  <li>
   Hands-on experience with LLMs and GenAI frameworks
  </li>
  <li>
   Experience designing and building machine learning models.
  </li>
  <li>
   Experience designing and building optimization models., including expertise with statistical data analysis
  </li>
  <li>
   Lead the end-to-end development of AI/ML solutions, from problem definition to production deployment.
  </li>
  <li>
   Strong programming skills in Python and experience with libraries like TensorFlow, PyTorch, Scikit-learn.
  </li>
  <li>
   Effective written and verbal communication skills
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Mandatory: Skillset: Python, PySpark, Azure Machine Learning, OpenAI
 </p>
 <p>
  Good to have : Azure Databricks
 </p>
</div>


Dream Games

<div>
 <p>
  We are looking for an experienced Data Scientist to develop analytical insights for our teams. As a Data Scientist, you will work closely with marketing and product teams to identify their needs and translate them into structured analysis, actionable insights, and data products.
 </p>
 <p>
  <br/>
 </p>
 <p>
  At Dream Games, all team members have a genuine chance to contribute to the final product and have an impact on the company. If you want to be a team member of a fast-growing company, you might be the person we are looking for!
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Performing ongoing analysis of large, complex data sets to understand trends and providing actionable recommendations
  </li>
  <li>
   Examining marketing performance and user conversion data funnel to identify opportunities to improve ROI
  </li>
  <li>
   Building and maintaining reports, dashboards, and metrics with writing SQL queries and scripts
  </li>
  <li>
   Monitoring the integrity and validity of the reported data
  </li>
  <li>
   Developing and maintaining reporting tools such as Looker and Tableau to maximize the usage of the data
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Experience in prediction, modeling, and forecasting
  </li>
  <li>
   Knowledge of dashboard &amp; reporting tools such as Tableau, Looker
  </li>
  <li>
   Advanced SQL skills
  </li>
  <li>
   High proficiency in Python or R
  </li>
  <li>
   Excellent communication skills
  </li>
  <li>
   Passion and interest in games
  </li>
  <li>
   Appreciation and understanding of teamwork
  </li>
 </ul>
</div>


Northrop Grumman

<div>RELOCATION ASSISTANCE: Relocation assistance may be available<p></p>
CLEARANCE TYPE: Secret<p></p>
TRAVEL: Yes, 10% of the Time<p></p><h2 class="jobSectionHeader"><b>
Description</b></h2><p></p>
At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work &mdash; and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.<p></p><p><b>
Northrop Grumman's Defense Sector</b> is seeking a <b>Data Scientist 3</b> for our <b>Advanced Weapons division</b> who will make significant and ongoing contributions to the maturation of our data driven processes. You will be responsible for collecting, processing and presenting information, including actionable insights, from multiple disparate data sets. The ideal candidate will have both the analytical aptitude and problem-solving skillset necessary for extracting value from a collection of novel data sets. In addition to being a highly proficient data scientist, this candidate is expected to foster a data pipeline by engineering analytics that lend themselves to automation and scale. As a function of engaging with stakeholders and taking ownership of outcomes, the candidate can comprehend the general problem space and is confident in socializing, demonstrating, and presenting insights generated from the data. This position <b>requires work on site</b> located at Woodland Hills, CA and there is <b>no remote work</b>.</p><p></p><p><b>
Responsibilities:</b></p><ul><li>
Analyze multiple data sources from cross-disciplinary teams to identify trends and patterns using engineering fundamentals.</li><li>
Interpret data, analyze results using statistical techniques and provide ongoing report to stakeholders of varying scientific fields.</li><li>
Summarize and socialize data, make conclusions and provide direction on problems identified.</li><li>
Effectively generate ideas and support building tools in order to automate analysis processes.</li><li>
Strong communication &amp; visualization of the data to articulate the findings. - Develop and implement data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.</li><li>
Design, model, and document the logical and conceptual relationship of data and database changes for metrics and analytics.</li></ul><p></p><p><b>
What you need to be successful in the role:</b></p><ul><li>
Comfort with requirements-analysis and stake-holder engagement.</li><li>
Strong problem-solving skills and root-cause analysis to ensure that curated data is accurate, repeatable, and explainable.</li><li>
Solid communication skills (written, verbal, and visual)</li><li>
Ability to communicate data and engineering analysis regarding conclusions that were reached.</li><li>
Ability to create and present data reports to support investigations.</li><li>
Excellent attention to detail.</li><li>
Development /programming of tools to improve pipeline efficiency, eliminate repetitive tasks, and implement new analysis tools/techniques.</li><li>
Prioritization skills to manage workload and make sound decisions for assigned team's data analysis activities.</li></ul><p></p><p><b>
Basic Qualifications for a Data Scientist 3:</b></p><ul><li>
Bachelor's degree in a technical area with 5 years of relevant experience (3 years with technical MS; 1 years with a PhD in a related field)</li><li>
Data Visualization: Experience with tools like Tableau, Power BI, or matplotlib for creating insightful visualizations.</li><li>
Knowledge of data gathering, cleansing and transformation techniques</li><li>
Experience with common data science toolkits such as Python and Tableau</li><li>
Experience using Python packages: pandas, numpy, matplotlib</li><li>
Experience developing and presenting data visualizations for scientific analysis</li><li>
Able to obtain and maintain a Secret clearance per business requirements</li></ul><p></p><p><b>
Preferred Qualifications for a Data Scientist 3:</b></p><ul><li>
Product Lifecycle experience</li><li>
Proficient using query languages such as SQL</li><li>
Experience mentoring and leading peers in data science projects</li><li>
Strong applied statistics skills, such as distributions, statistical testing, regression, etc.</li><li>
JMP proficiency (SAS statistical tool) and experience scripting in JSL</li><li>
MATLAB experience</li></ul><p></p><p>
#LI-MA1</p><p></p>
Primary Level Salary Range: $121,400.00 - $182,000.00<p></p>
The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.<p></p>
Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.<p></p>
The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.<p></p>
Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit http://www.northropgrumman.com/EEO. U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.</div>

Data Scientist 3

Siemens Healthineers

<div><div><div><div><div><div>Job ID
</div><div>468645
</div></div><div><div>Posted since
</div><div>23-Sep-2025
</div></div><div><div>Organization
</div><div>Siemens Healthineers
</div></div><div><div>Field of work
</div><div>Research &amp; Development
</div></div><div><div>Company
</div><div>Siemens Healthcare Private Limited
</div></div><div><div>Experience level
</div><div>Experienced Professional
</div></div><div><div>Job type
</div><div>Full-time
</div></div><div><div>Work mode
</div><div>Office/Site only
</div></div><div><div>Employment type
</div><div>Permanent
</div></div><div><div>Location(s)
</div><div><ul><li>Bangalore - Karnataka - India
</li></ul></div></div></div></div></div><div><div><div><div><div><div><div>Job Description:</div><div>
Siemens Healthineers has openings for full time Data scientist to support development of AI-based applications for products in Healthcare. The candidate would be working on one of the AI applications within the AI-Rad Companion suite of clinical AI applications.</div><div>
</div><div>
The role of the data scientist is to be a bridge between the research teams developing Medical Imaging related AI algorithms, the engineering teams productizing it, the Regulatory team filing for country regulatory clearances and the clinical customers. Clear understanding of the fundamentals of medical imaging, radiology in particular is essential to perform the role. Understanding of the regulatory clearances and it&rsquo;s needs for supporting evidence for AI algorithms is necessary as the person facilitates these inputs working closely with the research team and regulatory teams. High level Understanding of the AI and it&rsquo;s applications in clinical context is essential to bring the information related to performance and reliability metrics. Work closely with the clinical evaluation report writers to provide insights into the AI application.</div><div>
The applicant will join our innovation group in solving exciting and challenging research problems with real-world medical applications that require Data science. Our group develops medical image, text analytics and AI applications supporting clinicians and other medical professionals. We are well recognized for delivering cutting-edge intelligent solutions.</div><div>
</div><div>
Responsibilities:</div><ul><li>Contribute the development of Artificial Intelligence solutions for medical imaging</li><li>Support the product development and deployment of research prototypes</li><li>Support Scientific evaluation, setup and manage algorithm validation pipeline</li></ul><div>
</div><div>
Education:</div><div>
Recently acquired Masters or PhD in Computer Science, Electrical Engineering, Optimization, Mathematics or Statistics.</div><div>
</div><div>
Experience:</div><div>
4+ Years of experience</div><div>
</div><div>
Skills/Competency:</div><ul><li>Strong programming ability in both scripting and object-oriented programming languages is required (C/C++, C#, python, R)</li><li>Working knowledge of deep learning frameworks and libraries like pytorch, caffe, tensor flow and high-level APIs like Keras is preferable but not required</li><li>Prior exposure to machine learning and related fields is preferable but not required</li><li>Motivated, self-driven and with a strong ability to learn independently</li><li>Exhibits strong problem-solving skills</li><li>Self-directed and actively takes initiative</li><li>Familiar with DICOM &amp; Medical Raw image formats and it's applications</li><li>Familiar with Data science tools</li><li>Strong knowledge of regulatory needs related to medical devices, AI products in healthcare</li></ul></div></div></div></div></div></div></div>

NTT DATA

<p><b>Key Responsibilities:</b></p><ul><li>Bringing together information from different sources, cleaning it, and making sure it&rsquo;s ready for analysis</li><li>Examining large datasets, both structured and unstructured, to spot patterns, trends, and unusual findings</li><li>Creating machine learning models and algorithms, then testing them to ensure accuracy and effectiveness</li><li>Using statistical methods to build models that can forecast outcomes and support better planning</li><li>Simplifying tasks and processes through programming and AI tools</li><li>Turning results into clear reports, dashboards, and visualizations that make insights easy to understand</li><li>Working closely with different teams to make sure data-driven insights are put into action</li></ul><p><b>Key Requirements: </b></p><ul><li>4+ years of professional experience as a Data Scientist or in a similar role.</li><li>Expertise in programming languages such as Python or R, and proficiency with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).</li><li>Advanced proficiency in SQL for data manipulation and extraction from databases.</li><li>Solid understanding of machine learning techniques, statistical analysis, and experimental design.</li><li>Demonstrated experience with big data frameworks and cloud platforms (e.g., Spark, AWS, Azure, GCP).</li><li>Experience with Natural Language Processing (NLP) or Computer Vision techniques.</li><li>Familiarity with MLOps processes and tools for model governance and deployment (e.g., MLflow, Docker, Airflow).</li></ul><p>Job Types: Full-time, Permanent</p><p>Ability to commute/relocate:</p><ul><li>Bangalore, Karnataka: Reliably commute or planning to relocate before starting work (Preferred)</li></ul><p>Application Question(s):</p><ul><li>What is your total relevant experience in data scientist role?</li><li>What is your notice period?</li><li>What is your expected CTC?</li><li>What is your current CTC?</li></ul><p>Work Location: In person</p>

Agency Partner Interactive

<p>We are looking for a skilled Data Scientist to join our team at Agency Partner Interactive. The ideal candidate will have a strong background in programming languages such as Python, SQL, and R, and experience with Snowflake and its AI components, including Snowpark, Cortex Search, Cortex Analyst, Document AI, Snowflake Copilot, and Cortex Agents. The candidate should also have expertise in statistics and machine learning, database management, and data visualization tools like Streamlit, Power BI, Tableau, and Qlik. Knowledge of big data technologies is essential.</p><p><b>Technical Skills:</b></p><ul><li>Proficiency in programming languages (Python, SQL, R, etc.)</li><li>Experience with Snowflake and its AI components (Snowpark, Cortex Search, Cortex Analyst, Document AI, Snowflake Copilot, Cortex Agents, etc.)</li><li>Strong understanding of statistics and machine learning</li><li>Expertise in database management</li><li>Proficiency in data visualization tools (Stream lit, Power BI, Tableau, Qlik)</li><li>Knowledge of big data technologies</li></ul><p><b>Analytical Skills:</b></p><ul><li>Problem-solving</li><li>Critical thinking</li><li>Data interpretation</li></ul><p><b>Responsibilities:</b></p><ul><li>6+ years of proven experience as a Data Scientist or in a similar role.</li><li>Collect, process, and analyze large datasets to extract valuable insights.</li><li>Develop and implement machine learning models and algorithms to solve complex business problems.</li><li>Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.</li><li>Design and build data pipelines and workflows to ensure efficient data processing and analysis.</li><li>Create and maintain dashboards and reports to visualize data and communicate findings to stakeholders.</li><li>Conduct exploratory data analysis to identify trends, patterns, and anomalies.</li><li>Stay up-to-date with the latest advancements in data science and machine learning technologies.</li><li>Ensure data quality and integrity by implementing best practices in data management and governance.</li><li>Provide technical guidance and mentorship to junior data scientists and analysts.</li></ul><p><b>Qualifications:</b></p><ul><li>Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.</li><li>Proven experience as a Data Scientist or similar role.</li><li>Strong knowledge of programming languages such as Python, SQL, and R.</li><li>Experience with Snowflake and its AI components (Snowpark, Cortex Search, Cortex Analyst, Document AI, Snowflake Copilot, Cortex Agents, etc.).</li><li>Expertise in statistics and machine learning.</li><li>Proficiency in database management and data visualization tools like Streamlit, Power BI, Tableau, and Qlik.</li><li>Familiarity with big data technologies.</li><li>Excellent analytical skills, including problem-solving, critical thinking, and data interpretation.</li><li>Strong communication skills to effectively convey complex data insights to non-technical stakeholders.</li></ul><p>Job Type: Full-time</p><p>Application Question(s):</p><ul><li>What are your current &amp; gross salary expectations, and is it negotiable?</li><li>If hired, what would be your notice period, and is there any possibility of an early joining date?</li><li>Have you worked with international clientele and their projects? If so, can you share your experience?</li><li>Why are you considering leaving your current role, or why did you leave your previous company?</li><li>Please provide your email address for further communication:</li><li>Which time slot do you prefer: 3:00 PM to 12:00 AM or 5:00 PM to 2:00 AM?</li></ul><p>Work Location: In person</p>

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