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Designation : Senior Data Scientist
Location : Gurgaon/Bangalore/Mumbai (Right now Work from Home)....folks who are ready to relocate are also applicable
Education : BTech in Tier 1 & 2, Regional colleges
Experience Range: 5.5+ years - 9 years experience in Data Science (Mandatory)
Position Description :
The client is actively involved in helping Fortune 500 companies by enabling them to discover how they can leverage their data using advanced and sophisticated AI/ML algorithms for which we are looking for Data Scientists with the capability to work on independent statistical and machine learning research/ projects. If you are a problem solver with a curiosity for exploring new techniques and technologies in AIML space, then we would like to talk with you.
Job Responsibilities :
- Ability to understand a problem statement and implement analytical solutions & techniques independently with independently/proactively/thought-leadership.
- Work with stakeholders throughout the organization to identify opportunities for leveraging company/client data to drive business solutions.
- Fast learner: the 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 client 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 Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Recommender Systems, Modeling Response to Incentives, Marketing Mix Optimization, Price Optimization
Experience Required:
- 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, modeling, 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 on a daily basis.
- We use regression, Bayesian methods, tree-based learners, SVM, RF, XGBOOST, time series modeling, dimensionality reduction, SEM, GLM, GLMM, clustering, deep learning, etc. on a regular basis. If you know a few of them you are good to go.
Good to Have:
- Experience in one of the upcoming technologies like deep learning, NLP, image processing, recommender systems
- Experience of working in on one or more domains:
a) CPG: pricing and promotion analytics, marketing analytics, trade promotions, supply chain management
b) BFSI: cross-sell, up-sell, campaign analytics, treasury analytics, fraud detection
c) 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
Click here to apply
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