analytical data scientist

Dream Games

<div>
 
 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.
 
 
 
 
 
 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!
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 <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>
 
 
 
 
 
 Requirements
 
 
 
 
 
 <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>

Data Scientist

Agency Partner Interactive

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.Technical Skills:<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>Analytical Skills:<ul><li>Problem-solving</li><li>Critical thinking</li><li>Data interpretation</li></ul>Responsibilities:<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>Qualifications:<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>Job Type: Full-timeApplication Question(s):<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>Work Location: In person

VEER education Society

Company Overview:Brandsmashers Tech is a digital transformation and IT services company specializing in software development, AI/ML solutions, e-commerce, healthcare, agriculture, and education technologies. We focus on delivering data-driven solutions that empower businesses to scale and innovate.Job Overview:We are looking for a Data Scientist with strong expertise in Python, Machine Learning, and Data Engineering. The ideal candidate will be able to analyze large datasets, design predictive models, and deliver actionable insights for enterprise-grade projects. This role requires both technical depth and the ability to work with cross-functional teams including developers, business analysts, and product managers.Key Responsibilities:<ul><li>Collect, clean, and preprocess large-scale structured and unstructured data.</li><li>Build and deploy Machine Learning and Deep Learning models for predictive and prescriptive analytics.</li><li>Work on data pipelines and collaborate with Data Engineers for production-level integration.</li><li>Apply statistical and mathematical models to solve business problems.</li><li>Perform exploratory data analysis (EDA) to identify patterns, trends, and anomalies.</li><li>Implement AI/ML solutions in real-time systems and optimize performance.</li><li>Collaborate with business stakeholders to translate requirements into data-driven strategies.</li><li>Ensure data security, governance, and compliance standards are followed.</li></ul>Requirements:<ul><li>Bachelor&rsquo;s/Master&rsquo;s in Computer Science, Data Science, Statistics, Mathematics, or Engineering.</li><li>2&ndash;6 years of experience as a Data Scientist or similar role.</li><li>Strong expertise in Python and libraries like NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Matplotlib, Seaborn.</li><li>Knowledge of SQL and NoSQL databases (MySQL, MongoDB, PostgreSQL).</li><li>Hands-on experience with data visualization tools (Power BI, Tableau, or Matplotlib).</li><li>Familiarity with cloud platforms (AWS, GCP, or Azure).</li><li>Understanding of MLOps practices (model deployment, monitoring, retraining).</li></ul>Skill Set:Technical Skills<ul><li>Programming: Python (core for ML/AI), R (optional), Shell scripting.</li><li>Data Handling: Pandas, NumPy, ETL pipelines.</li><li>AI/ML: Regression, Classification, Clustering, NLP, Deep Learning, Generative AI.</li><li>Data Visualization: Power BI, Matplotlib, Seaborn, Plotly.</li><li>Big Data Tools (Preferred): Spark, Hadoop.</li><li>Databases: SQL, NoSQL.</li></ul>Behavioral Skills<ul><li>Analytical and problem-solving mindset.</li><li>Strong communication skills to explain complex models to non-technical stakeholders.</li><li>Proactive, detail-oriented, and adaptable to changing project needs.</li><li>Ability to work independently and within a collaborative team.</li></ul>Job Type: Full-timePay: &#8377;305,598.40 - &#8377;1,153,581.56 per yearWork Location: In person

Infosys

<div><h2 class="jobSectionHeader">Job Description:</h2> 
<ul>
<li>Job Title Data Scientist</li>
<li>Skills Python R Artificial Intelligence Machine Learning</li>
<li>Location India</li>
<li>Experience Total 4 years of experience</li>
<li>Job Summary</li>
<li>We are seeking Data Scientists to drive analytics initiatives</li>
<li>The ideal candidate will possess deep expertise in data science statistical modeling and modern analytical tools with a strong background in Python</li>
<li>This role involves leading client engagements designing scalable solutions and contributing to organizational excellence through innovation</li></ul> 
<h2 class="jobSectionHeader">
Key Responsibilities:</h2> 
<ul>
<li>Key Responsibilities</li>
<li>Work on end to end data science engagements from problem definition to solution development</li>
<li>Design and implement advanced analytical models and process frameworks</li>
<li>Collaborate with different stakeholders providing domain and technical thought</li>
<li>Perform Fit Gap analysis and translate business needs into actionable data solutions</li>
<li>Ensure compliance with release governance and manage incidents using industry standard tools</li>
<li>Contribute to Unit Organizational initiatives including Centers of Excellence COEs</li> 
</ul> 
<h2 class="jobSectionHeader">Technical Requirements:</h2> 
<ul>
<li>Required Skills Experience</li>
<li>4 years of relevant in advanced analytics and model development</li>
<li>4 years of hands on experience in Python and other open source analytical tools</li>
<li>Strong expertise in data analytics data handling and statistical programming using modern IT tools</li>
<li>Understanding of Data Warehousing Business Intelligence and AI based solutions</li>
<li>Proven experience in Agile methodologies including iterative development and sprint planning</li>
<li>Experience working in highly regulated environments ensuring data governance and compliance</li>
<li>Experience with machine learning frameworks e</li>
<li>g</li>
<li>scikit learn TensorFlow PyTorch</li>
<li>Exposure to cloud platforms AWS Azure GCP</li>
<li>Familiarity with release governance processes and incident management tools e</li>
<li>g</li>
<li>ServiceNow JIRA</li> 
</ul> 
<h2 class="jobSectionHeader">Additional Responsibilities:</h2> 
<h2 class="jobSectionHeader">
Preferred Skills:</h2>
Technology-&gt;Data Science-&gt;Machine Learning</div>

AI/DNA-Data Scientists

Growcap Account Aggregation Private Limited

Job Title: Data ScientistDepartment: Data &amp; Analytics Location: Noida Reports To: Head of Data ScienceJob Summary:We are looking for a Data Scientist with a strong background in Machine Learning, Predictive Analytics, and Data Automation to join our data-driven team. The ideal candidate will be responsible for developing predictive models, analyzing complex datasets, and delivering actionable insights that drive strategic business decisions across domains such as Finance, Digital Marketing, and Customer Analytics.Key Responsibilities:<ul><li>Design, develop, and deploy machine learning models for classification, regression, and predictive analytics.</li><li>Conduct A/B testing, propensity modeling, and advanced statistical analysis to support business decisions.</li><li>Build and maintain dashboards and visualization reports using Tableau, Power BI, or Quicksight.</li><li>Automate data extraction and processing using tools like Python, Selenium, and UiPath.</li><li>Work with cloud platforms (AWS, GCP) and manage large datasets using Athena, BigQuery, or MySQL.</li><li>Collaborate with cross-functional teams to improve marketing ROI and customer acquisition strategies.</li><li>Provide data-driven recommendations to improve business performance and reduce operational costs.</li><li>Ensure compliance with data governance and security standards.</li></ul>Required Skills &amp; Competencies:<ul><li>Proven experience (5&ndash;10 years) in Data Science, Machine Learning, or Predictive Analytics.</li><li>Strong knowledge of Python, R, and SQL.</li><li>Hands-on experience with data visualization tools &ndash; Tableau, Power BI, Quicksight, or Excel.</li><li>Experience in cloud platforms &ndash; AWS (S3, EC2, Lambda) and GCP (BigQuery, Cloud Storage).</li><li>Proficiency in statistical modeling, clustering, NLP, and regression techniques.</li><li>Experience with automation tools like Selenium and UiPath.</li><li>Strong communication, problem-solving, and analytical skills.</li></ul>Educational Qualifications:<ul><li>Master&rsquo;s degree in Data Science, Computer Science, Statistics, or related field.</li><li>Certifications: Python for Data Science (IIT Madras), Six Sigma Yellow Belt (VMEdu Inc), preferred.</li></ul>Job Type: Full-timeBenefits:<ul><li>Health insurance</li></ul>Work Location: In person

FLOWATT BATTERY SCIENCE PRIVATE LIMITED

Job Title: Data Scientist Location: Bengaluru, India Experience Required: 7 -8 yearsAbout Us 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.Role Overview We are seeking a skilled Data Scientist 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.Key Responsibilities<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>Requirements<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>Why Join Us<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>Job Type: Full-timePay: &#8377;100,000.00 - &#8377;120,000.00 per monthBenefits:<ul><li>Health insurance</li><li>Paid sick time</li></ul>Experience:<ul><li>Data scientist: 7 years (Preferred)</li></ul>Work Location: In person

Northrop Grumman

<div>RELOCATION ASSISTANCE: Relocation assistance may be available
CLEARANCE TYPE: Secret
TRAVEL: Yes, 10% of the Time<h2 class="jobSectionHeader">
Description</h2>
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.
Northrop Grumman's Defense Sector is seeking a Data Scientist 3 for our Advanced Weapons division 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 requires work on site located at Woodland Hills, CA and there is no remote work.
Responsibilities:<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>
What you need to be successful in the role:<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>
Basic Qualifications for a Data Scientist 3:<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>
Preferred Qualifications for a Data Scientist 3:<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>
#LI-MA1
Primary Level Salary Range: $121,400.00 - $182,000.00
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.
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.
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.
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>

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