Job Description
Insight Global is looking for a Data Analyst in India to support their Fortune 500 Manufacturing client. This resource will use their expertise in data science to drive and execute automation and innovation projects, aligned with business strategy through PM standard methodologies. You will support a highly experienced team across business domains and operations and technology. Team members master PM, BI, complex SQL, Python by leveraging these hard and soft skills. You will drive deep transformation while driving enhancements to continuously improve processes, tools, & applications.
We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to
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Required Skills & Experience
- 3 years of experience as data scientist: Advanced analytics, statistical, and programming skills; Large, complex datasets and apply ML, AI, and predictive modeling; Developing algorithms and models to solve complex business problems, enabling data-driven decision-making; PowerBI and BI domain.
Technical Skills:
- Programming Languages: Python, SQL, R, Scala
- Machine Learning: Regression, Classification, Clustering, Deep Learning, NLP, Alteryx, Dataiku
- Data Visualization: PowerBI, Tableau
- Cloud Platforms: Azure (Databricks, ML studio), AWS, Google Cloud
- Database Management: Snowflake, MongoDB, MySQL
- Statistical Analysis: Hypothesis Testing, A/B Testing, Time Series
- Big Data: Hadoop, Spark, Hive
- Other Tools: MSMDS & Sigma, Docker, Kubernetes, Jupyter Notebook, GitHub
Experience:
- Lead a team of data engineers responsible to ingest and develop data models through cloud platforms and database management
- Deep understanding of chemical and/or industry business operations and strategy.
- Applies data principles with a focus on practical build end-to-end data pipelines using state-of-the-art data science technics and business-oriented outcomes.
- Strong Collaboration with Product Managers to create data models and define meaningful KPIs, use cases and continuous improvement for executive decision-making.
- Mentoring Junior Data Scientist and conducting continuous improvement workshops.
- Strong Hard and Soft Skills
- Project Management, Finance, Agile, Dev-Ops, Problem Solving & Six Sigma Methodologies.
Education:
- Bachelor of Science in Computer Science or Engineering or similar
- Master in Science of Business Intelligence, Data Science or Artificial Intelligence or similar
Nice to Have Skills & Experience
Certifications:
- Microsoft Certified: Azure data scientist associate or similar
- Deep Learning Specialization (Coursera) or similar
- Lean Six Sigma Green Belt / Black Belt
- Leadership and Management
- Project Management
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.