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    Job · 11774551

    Hyper Lychee Labs logo

    Data Scientist Marketing & Risk Analytics

    Hyper Lychee Labs · Not specified · onsite · Posted 68d ago

    Not disclosedFresherfulltimeSourced fromFoundit

    About a minute. You'll make an account on the way through.

    About this role

    ENGAGEMENT: Full-time

    WORK MODE: Remote

    JOB DESCRIPTION:

    Key Responsibilities

    • Build and refine machine learning models spanning traditional statistical/ML approaches and generative ML techniques.
    • Develop models for marketing analytics and risk analytics use cases (e.g., propensity, churn, survival-style models, risk scoring) as directed by the business.
    • Translate business problems into the right modeling approach – the client has strong in-house business/data analysts, so the specific value-add of this role is determining what kind of model best fits a given business need and data set.
    • Work primarily in Python for ETL and modelling purpose. DataRobot experience is a plus given the client's existing data science tooling.
    • Use SAS only for basic ETL when required to pull from the client's data warehouse – this is not the primary tool and deep SAS expertise is not required, as the client has a dedicated SAS team.

    Must-Have Qualifications

    • Strong Python-based data science and machine learning skills.
    • Experience across both traditional ML and generative ML approaches.
    • Ability to translate a business problem into an appropriate modeling approach – this is judged as more important than deep domain (e.g., banking risk) specialization, since the client already has strong business analysts in-house.
    • Comfort working independently on assigned use cases without requiring constant on-site presence.

    Nice-to-Have

    • Familiarity with DataRobot or similar automated ML platforms.
    • Basic working knowledge of SAS for ETL purposes.
    • Prior marketing analytics or risk analytics experience, ideally in banking or financial services.

    Skills Required

    • Python, Scikit learn, XGBoost, DataRobot.
    • ML modeling techniques (Statistical inferencing, logistic regression, Tree based models –Decision Tree/random forest/XGB, Cox hazard, clustering, A/B Testing, Uplift modeling etc.)
    • Model Monitoring & Model Bias & Explainability

    ABOUT US

    Hyper Lychee Labs is an IT services and consulting company committed to delivering innovative and impactful solutions to a diverse client base, including Fortune 500 companies, the Government of India, and forward-thinking startups. With a focus on leveraging technology for transformation, the company provides custom software development, complex systems implementation, and strategic consulting. Our team of talented professionals collaborates to ensure exceptional results tailored to clients needs. Dedicated to fostering a culture of creativity, diversity, and inclusion, Hyper Lychee Labs strives to empower businesses to thrive in a rapidly evolving world.

    Sourced from foundit

    Skills

    Cox hazardStatistical inferencingModel Monitoringclusteringlogistic regressionXgboostDecision TreeRandom ForestScikit-LearnDatarobotexplainabilitymodel biasTree-based modelsPythonuplift modeling

    Data Scientist Marketing & Risk Analytics · waiting for your command