Data Scientist

Responsibility

Partnering with internal business owners (product, marketing, edit, etc.) to understand needs and develop custom analysis to optimize for user engagement and retention

Good understanding of the underlying business and workings of cross functional teams for successful execution

Design and develop analyses based on business requirement needs and challenges.

Leveraging statistical analysis on consumer research and data mining projects, including segmentation, clustering, factor analysis, multivariate regression, predictive modeling, etc.

Providing statistical analysis on custom research projects and consult on A/B testing and other statistical analysis as needed. Other reports and custom analysis as required.

Identify and use appropriate investigative and analytical technologies to interpret and verify results.

Apply and learn a wide variety of tools and languages to achieve results

Use best practices to develop statistical and/ or machine learning techniques to build models that address business needs.

Requirements

2 - 4 years  of relevant experience in Data science.

Preferred education: Bachelor's degree in a technical field or equivalent experience.

Experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms.

Machine Learning Algorithms: Crystal clear understanding, coding, implementation, error analysis, model tuning knowledge on Linear Regression, Logistic Regression, SVM, shallow Neural Networks, clustering, Decision Trees, Random forest, XGBoost, Recommender Systems, ARIMA and Anomaly Detection. Feature selection, hyper parameters tuning, model selection and error analysis, boosting and ensemble methods.

Strong with programming languages like Python and data processing using SQL or equivalent and ability to experiment with newer open source tools.

Experience in normalizing data to ensure it is homogeneous and consistently formatted to enable sorting, query and analysis.

Experience designing, developing, implementing and maintaining a database and programs to manage data analysis efforts.

Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG, HIVE).

Experience in risk and credit score domains preferred.