Data Scientist

Data Scientist / Senior Data Scientist responsible for partnering with internal business owners to understand business needs, develop custom analysis, leverage statistical analysis and data mining, and build statistical and machine learning techniques to address business needs. The role involves collaborating with teams to improve business decisions through data and machine learning/predictive modeling.
What You'll Do
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
Identify and use appropriate investigative and analytical technologies to interpret and verify results
Use best practices to develop statistical and/or machine learning techniques to build models that address business needs
Collaborate with the team in order to improve the effectiveness of business decisions through the use of data and machine learning/predictive modeling
Innovate on projects by using new modeling techniques or tools
Utilize effective project planning techniques to break down complex projects into tasks and ensure deadlines are kept
Communicate findings to team and leadership to ensure models are well understood and incorporated into business processes
Must have
2 - 6 years of relevant experience Bachelor's degree in a technical field or equivalent experience Experience in advanced analytics, model building, statistical modeling, optimization, and 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 Data processing using SQL or equivalent Experience in normalizing data to ensure that 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
Good to have
Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG, HIVE) Experience in risk and credit score domains preferred Ability to experiment with newer open-source tools

Work arrangement
Hybrid