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.
- Rapid 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.
REQUIRED QUALIFICATIONS:
- 5-10 years in core Data Science & Machine Learning projects
- Expert level proficiency in at least one of R and Python.
- Ability to create efficient solutions to complex problems. Strong skills in data-structures and ML algorithms.
- Experience of working on end-to-end data science pipeline: problem scoping, data gathering, EDA, modelling, insights, visualizations, monitoring and maintenance.
Problem-solving: -Ability to break the problem into small parts and applying relevant techniques to drive required outcomes.
- Intermediate to advanced knowledge of machine learning, probability theory, statistics, and algorithms. You will be required to discuss and use various algorithms and approaches daily.
- We use regression, Bayesian methods, tree-based learners, SVM, RF, XGBOOST, time series modelling, dimensionality reduction, SEM, GLM, GLMM, clustering, Deep learning etc. on a regular basis. If you know few of them, you are good to go. PREFERRED QUALIFICATIONS:
- Experience in one of the upcoming technologies like deep learning, NLP, image processing, recommender systems
- Experience of working in on one or more domains:
- CPG: pricing and promotion analytics, marketing analytics, trade promotions, supply chain management
- BFSI: cross-sell, up-sell, campaign analytics, treasury analytics, fraud detection
- Healthcare: medical adherence, medical risk profiling, EHR data, fraud-waste-abuse
- Experience in working with Linux computing environment and use of command line tools like sed/awk
- Good grasp on databases including RDBMS, NoSQL, MongoDB etc.
EDUCATION: B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent.
Note
-Only Immediate to 30 days serving notice period candidates to apply.
-To Apply email at -"
[email protected]"with subject line -"Application for Data Science Role".
📌 Opportunity For Data Scientist (AI/ML) Fractal (Bengaluru)
🏢 Fractal Analytics
📍 Bengaluru