Purpose-driven We understand what our customers want, and we act on their changing needs.
Collaborative We collectively create an engaging and positive work environment.
Accountable We take ownership of our individual and organizational performance.
Service excellence We realize, grow, and maximize our potential through learning.
Trusted Individuals are trusted to make informed decisions and take appropriate risks.
Job Summary:
We are looking for passionate Data Scientists to join our team who will support product, leadership, and client teams with insights gained from analyzing data.
Will work closely with the development team, architects, and the product owner to build efficient data models and manage data model lifecycle leveraging appropriate technology stack
Must be comfortable working with a wide range of stakeholders and functional teams.
Exposure to the use of predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
At least 1+ year of experience working with global clients and geographically distributed teams
Strong experience using a variety of data mining/data analysis methods
Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
Experience using statistical computer languages (R, Python, SQL, and MS Excel.) to manipulate data and draw insights from large data sets.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, histograms, statistical tests, etc.) and experience with business applications.
Develop custom data models and algorithms to apply to data sets.
Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
Expert at SQL and Python scripting. Strong and agile in data cleansing, transformation, and preparation for data model creation
A drive to learn and master new technologies and techniques.
Good eye for detail and value the quality.
Exposure to polishing the work collaboratively with the team to produce great results for the client.
Should have worked with at least 1 production deployment for ML models
Good communication skills and Critical Thinking,
Nice To Have:
Exposure to the Retail industry
Knowledge of reporting/analytic techniques and tools like Tableau and/or Power BI.
