TTEC Digital - Senior Manager/Lead Data Scientist - Statistical Modeling (4-7 yrs)

Senior Manager/Lead Data Scientist

As a Lead Data Scientist working at TTEC, you will work on a team with diverse clients and industries to create data-driven segmentations, develop cutting edge algorithms, curate predictive and descriptive customer features, and provide expert insights to increase our understanding of customer behavior and needs.

You will help clients turn data into actionable insights that drive tangible outcomes, improve performance and help clients lead the market.

This position requires in-depth understanding and use of statistical and data analysis tools.

Key Responsibilities :

- Manage and mentor a team of 4-6 data scientists and lead the hiring of new scientists for continuous team growth;

- Oversee and own data science projects throughout the project lifecycle, including scoping, development, validation, implementation, and on-going maintenance;

- Participate in the development of proposals and scope documents and present to clients;

- Interface with business stakeholders (internal or external) to identify business challenges that require data-driven approach;

- Design data science project plan and build effort estimation to maximize business impact and ensure that projects are completed on time, within budget, and to business stakeholder's satisfaction.

- Teach, lead, and counsel colleagues on new ML techniques or solutions.

- Build client facing presentations to review analytic results and ability to convey technical concepts around analytic solutions to non-technical audiences in compelling story.

- Design project milestone deliverables and review mid-project deliverables for adherence to highest standards.

- Build new predictive models, segmentations, and algorithms; as well as analyze pre-existing analytic solutions, provide suggestions on how to evolve, and improve their efficiency and effectiveness;

- Ensure data and code integrity by conducting documentation and code reviews;

- Drive on-time delivery and identify and resolve project risks with support of Directors;

- Align manager's goal to ensure business and director's goals are achieved for the year;

Qualifications and Technical Skills:

- MS/PhD.Data Science, Statistics, Economics, Computer Science, Mathematics, or related applied quantitative field

- 6+ years developing predictive models and creating and using machine learning algorithms

- Proficient level of understanding in machine learning and deep learning methods, including familiarity with techniques in clustering, classification, regression, optimization, recommendation, natural language processing

- Excellent programming skills in SQL and Python

- Programming skills in Spark, Java, Scala are strongly desired

- Strength in clarifying and formalizing complex problems

- Proven track record of business integration and productization of Data Science solutions

- Experience ingesting and manipulating large volumes of data (both tall and wide format)

- Experience with at least one of the following: Azure, Databricks, AWS.

- Experience using deep learning libraries (PyTorch, Tensor Flow, Keras) is strongly desired.

- Experience in developing DS solutions for digital marketing is preferred