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- In this role, The Candidate should be highly analytical with a knack for analysis, math, and statistics. Critical thinking and problem-solving skills are essential for interpreting data.
- To help our company analyze trends to make better decisions.
- Build propensity models, customer segmentations, uplift models, campaign response models, risk, and fraud detection models. Also, Integrate the models with the business processes and consuming systems via ML Ops processes.
- The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to evaluate the effectiveness of different courses of action.
- Create models as required by the business with a high degree of precision and recall. Model accuracy and stability are key accountabilities.
- Understand business priorities and align data science deliverables to ensure the business receives the intelligence and modeling inputs to drive decisions.
- Work with stakeholders throughout the organization to identify opportunities for using company data to drive business solutions.
- Undertake preprocessing of structured and unstructured data and analyze large amounts of information to discover trends and patterns.
- Assess the effectiveness and accuracy of new data sources and data gathering techniques.
- Coordinate with different functional teams to implement models and monitor outcomes.
- Recruit, train, develop and supervise Junior level employees.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
- Proven experience of 8+ years as a Data Scientist.
- Post Graduate degree in Computer Science, Statistics, Engineering, Physics, Mathematics, Econometrics or MBA with a ML/DS focus.
- Knowledge of SQL and R or Python; familiarity with Scala & SPARK is an asset. Candidates with experience of working on AWS stack will be preferred, however this is not a compulsory requirement.
- Knowledge and experience in machine learning, optimization, statistical and data mining techniques- regression, simulation, clustering, decision trees, classification algos (bagging/boosting), neural networks.
- Strong Analytical critical thinking skills and business acumen
- Strong commitment to professional development.
- Process Oriented and excellent time management skills.
- Ability to adapt to new situations and issues and to solve problems.
- Good organizational, communication, presentational and people skills - with the capability to communicate concisely and effectively equally well with fellow employees, non-technical colleagues and with members and/or customers alike.
Data Scientist - Chennai, India - Wenger & Watson Inc
Description
Role – Lead Data Scientist
Years of Experience – 8+ years
Mode of work-Work from office(1st and last saturday working)
Location-Chennnai-Parrys corner
Purpose of Role
Key Accountabilities
Responsibilities will include but will not be restricted to:
Technical Requirements (what)
Desired Personal Qualities or Behavior