GIC - Consumer & Market Intelligence - Data Scientist II

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

This position is a part of the Consumer and Market Intelligence, Decision Sciences team. This is a global team of 40 members supporting business and enabling strategies through data-driven solutions. Team is based out of Minneapolis Minnesota and Mumbai India location.

We are looking for a Data Scientist who can work independently on the strategic analytical projects involving data integration from multiple sources, deploying statistical/predictive models, visualization reporting and as per requirement build ML enabled web applications using R-shiny and/or flask. This candidate will work with stakeholders, collaborate with other teams to understand business problem, and define the analytical approaches to fulfill business needs.

We expect the candidate to work directly with business stakeholders to:

• Comprehend the business needs, develop a solution framework, execute the plan, and articulate insight stories back to the client so they can consume and take strategic actions
• Have hands-on experience in data management by handling variety of point-of-sales, online, big data (structured & unstructured) and advanced analytics techniques and developing intuitive visualization reporting.
• Ability to translate complicated analytical techniques to non-technical audiences.
• Managing multiple projects and meeting stakeholder expectations

Job Responsibilities:

95% of Time Operational Responsibilities

• Probe to understand the underlying business needs from stakeholders, plan & execute analytical solutions and share actionable insights that drives strategy & impact
• Deploy statistical/predictive analyses utilizing data from multiple sources and develop visualization reports to share key conclusions based on the analysis outcome
• Gain expertise in using the tools developed in-house and by external vendors
• Be able to explore and deal with variety of large data sets and proactively make recommendations for an analysis plan and follow-through with the proposed plan.
• Ability to find unique ways to “connect” disparate data sources to enable analytics
• Provide the “story” not just the data
• Collaborate with larger team for gathering data
• Manage stakeholder relationship
• End-to-end management of multiple projects
• 5% of Time Self-Development
• Complete and Leverage IDP for self-development
• Identify and undergo self-learning modules
• Participate in project related trainings
• Make presentations on the right forum

Desired Profile:

Education

Minimum Degree Requirements: Bachelors

Preferred Degree Requirements: Masters

Preferred Major Area of Study: Statistics, Mathematics, Economics/Econometrics, Computer Science

Experience

Minimum years of related experience required: 3-4 years – analytics experience; Big data management, statistical/ML predictive models, visualization is desired.

Preferred years of related experience: 5+ years – analytics experience; Big data management, statistical/ML predictive models, visualization is desired.

Specific Job Experience or Skills Needed

• Technical acumen in data wrangling utilizing multiple internal and external data sources
• Excellent data interpretations and data crunching skills
• Experience in deploying analytical techniques mainly, predictive modeling inferential statistics, machine learning
• Good handle in SQL, Advanced Excel, and Scripting languages R and/or Python
• Experience in ML model deployment and building easy, usable web applications using R-shiny and/or flask and ploty-dash/streamlite for visualization
• Strong organizational skills and attention to detail
• Experience working by collaborating with cross functional teams to build effective plans for conducting analysis
• Problem solving aptitude and storytelling presentation skills
• Ability to manage stakeholders and multiple projects together with effective communication skills
• Exposure to Google cloud platforms, Hadoop, Cloud Storage and API’s is an advantage
• Prior experience working in CPG, Retail, Ecommerce industry is preferred
• Competencies/Behaviors required for job
• Leading Change
• Continually asks him/herself, “Why do I (or we) do it this way?”
• Continuous Improvement mindset
• Remains curious despite having developed expertise

Delivers Outstanding Results

• Thinks through ways of implementing his knowledge/experience which the process could benefit
• Makes quality decisions in a timely manner
• Proactively anticipates and addresses issues/opportunities
• Consistently accomplishes assigned tasks
• Delivers high quality work within established timeframes
• Pays attention to detail and focuses on accuracy
• Seeks assistance, information, and resources to make good decisions
• Displays sense of urgency even in absence of assigned deadlines

Technical Expertise

• Adapts to tools & technology as per the process needs
• Acquires foundational knowledge and skills in his/her functional area
• Seeks to understand the principles of service excellence & how to apply them in own area
• Strives to continuously expand the technical knowledge base
• Influence and Impact
• Maintain good working relationship with peer group delivering as a Team
• Set examples in the peer group
• Agility
• Shares and collaborates with peers on application of relevant industry trends