Data Scientist

organisation'smodelingMust have hands on experience on Data Science -> Artificial Intelligence (AI) -> Machine

Learning , Deep Learning , Predictive analytics and Github and AWS (EC2 Instance).

• Hands on: Excel, SQL, Python (including machine learning stack: scikit-learn, pandas,

jupyter notebooks/colab, opencv, tensorflow, etc)

• Prior knowledge on following data modelling and predictions (Forecast) are preferred -

Pricing optimization, price elasticity, demand planning, assortment analytics, time series

forecasting, causality, promotions effect, demand and supply forecasting, growth and

spend optimization, dynamic pricing, regional pricing strategy, bundling options, demand

estimation.

• Ability to problem solve and break down the complex problem into solvable pieces.
• Experience of quantifying impact of product features for sales conversion improvement,

A/B testing, attribution modeling, campaign analysis etc.

• Effectively analyze and monitor the services, market trends, and customer requirements.

• Keep exploring and providing insights on emerging technology and business models and

trends in-line with the organisations business objectives while emphasising the cost and

benefit including ROI metrics.

• Responsible for periodic consultation with HODs in identifying and prioritising gaps &

improvement areas in the digital ecosystem, collect business requirements and take sign-

off for managing new projects / initiatives in coordination with the IT team.

• The successful Data Scientist will have deep expertise in delivering digital projects using

Agile methodology and will need to have superb interpersonal skills, experience in leading

an innovative team and have a passion for forward thinking digital transformation.