Data Science Analyst II
Alliance Data
Bangalore, India
4d ago

It's fun to work in a company where people truly BELIEVE in what they're doing !

Job Description

Essential Job Functions

Analytics under supervision and guidance, completes the following : 1) extracts and samples data, conducts data integrity checks and applicable data pre-processing such as treatment of missing values and outliers, 2) conducts exploratory data analysis for preliminary data insights to drive the selection of modeling approach that best addresses the business problem, 3) reveals hidden data patterns by data mining using unsupervised learning techniques such as clustering analysis and factor analysis, 4) conducts feature engineering to create / derive model predictors with strong predictive power, 5) trains / tunes classification / regression models by applying supervised learning techniques such as generalized linear models assuming applicable underlying distributions such as logit and gamma, tree-based models such as decision trees, random forest, boosted trees, etc.

and neural net models, and 6) conducts proper model test / validation, diagnoses and fixes model issues (e.g., over-fitting) when applicable.

Sizes the impact of using the models in production as part of the current strategy.Presents results and business case to manager.

Provides support for implementation and monitoring of solutions that are implemented.

Collaboration under supervision and guidance, translates analytical results into useful recommendations for review with manager.

Demonstrates strong verbal and written communication skills when working with internal partners and when presenting results to various audiences.

Develops foundational knowledge of credit card operations, banking, financial, loyalty rewards, retail, and credit card regulations while working with the business.

Collaborates with other data scientists in the company to share best practices and data science innovations.

Data Science innovation with direction from leader, researches industry trends in data science of new tools, emerging algorithms, advanced platforms, and alternative data to enhance modeling effectiveness and efficiency.

Conducts use case testing for new tools / techniques / platforms / data and provides user input / feedback.

  • Model risk management - develops foundational knowledge on common model risks and related regulatory requirements; applies proper 1st line of defense controls during model development process to minimize model risk;
  • creates comprehensive model governance documentation and archives model data, scripts, and results; collaborates with model risk management partners to complete model validation / auditing;
  • completes remediation as required by model governance process.

    Reports to : Manager or higher

    Working Conditions / Physical Requirements : Normal office environment

    Direct Reports : None

    Minimum Qualifications :

    Degree Required : Bachelor’s Degree

    Area of Study : Statistics, Mathematics, Engineering, Data Science, Economics, Computer Science, or another quantitative field

    Years of Work Experience Required : 2 to 5 years

    Type / focus of work experience required : Related work experience

    Preferred Experience :

    Degree Preferred : Master’s Degree, PhD

    Area of Study : Statistics, Mathematics, Engineering, Data Science, Economics, Computer Science or another quantitative field

    Years of Work Experience Preferred : 3+ years

    Type / focus of work experience preferred : Professional hands-on experience in developing statistical models / machine learning models and conducting data mining to solve business problems.

    Experience in extracting and processing large files / data sets.Experience interpreting model results and translating insights into business recommendations.

    Job Family : Data and Analytics

    Data and Analytics

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