Company
SeniorDataScientist
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Scientist. Skills: Data Science, Machine Learning, Python, R. implement analytical solutions. manage stakeholders”
Industry & Context.
create efficient solutions; complex problems
What They're Looking For.
Must Have
core Data Science & Machine Learning projects, R, Python, data-structures, ML algorithms, end-to-end data science pipeline
What You'll Do.
implement analytical solutions
manage Data Scientists
leverage company/client data
drive business solutions
learn new language/tool/platform
deliver high-quality solutions
prototype data solutions
deliver AIML solutions
How You'll Work.
Team & Collaboration
Collaborate with different functional teams
Full Job Description
It's fun to work in a company where people truly BELIEVE in what they are doing! _We 're committed to bringing passion and customer focus to the business._ JOB DESCRIPTION: ❖ The team member will be a part of the Artificial Intelligence and Machine Learning, Algorithmic Decision-Making Team (AIML - ADM) and will be working in a fast-paced environment. ❖ They will be enabling clients to discover how they can leverage their data using advanced and sophisticated AI/ML algorithms. ❖ Data Scientists in the AIML-ADM team should have the capability to work on independent statistical and machine learning research/ projects. RESPONSIBILITIES: • Ability to understand a problem statement and implement analytical solutions & techniques independently with independently/proactively/thought-leadership. • Team management and strong stakeholder management skills • Leadership skills to manage a span of Data Scientists • Work with stakeholders throughout the organization to identify opportunities for leveraging company/client data to drive business solutions. • Fast learner: ability to learn and pick up a new language/tool/ platform quickly. • Conceptualize, design, and deliver high-quality solutions and insightful analysis. • Conduct research and prototyping innovations; data and requirements gathering; solution scoping and architecture; consulting clients and clients facing teams on advanced statistical and machine learning problems. • Collaborate and Coordinate with different functional teams (engineering and product development) to implement models and monitor outcomes. • Ability to deliver AIML based solutions around a host of domains and problems, with some of them being Customer Segmentation & Targeting, Propensity Modelling, Churn Modelling, Lifetime Value Estimation, Forecasting, Recommender Systems, Modelling Response to Incentives, Marketing Mix Optimization, Price Optimization QUALIFICATIONS: REQUIRED QUALIFICATIONS: • 5.6-11 years in core Data Science & Machine Learning p
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