Tredence - Senior Manager - Data Science

Roles & Responsibilities

- Solve some of the most impactful business problems for our clients.

- Lead multiple teams across clients ensuring quality and timely outcomes on all projects.

- Lead and manage the onsite-offshore relation, at the same time adding value to the client.

- Partner with business and technical stakeholders to translate challenging business problems into state-of-the-art data science solutions.

- Build a winning team focused on client success. Help team members build lasting career in data science and create a constant learning/development environment.

- Present results, insights, and recommendations to senior management with an emphasis on the business impact.

- Build engaging rapport with client leadership through relevant conversations and genuine business recommendations that impact the growth and profitability of the organization.

Qualification & Experience -

- Bachelor's or Master's degree in a quantitative field (CS, machine learning, mathematics, statistics) or equivalent experience.

- Experience delivering ML projects end to end in an enterprise setting, including articulating the business use case; cleaning and exploring the data; and building, testing, and deploying predictive models

- 5+ years programming experience (Python, R or any other relevant language)

- 5+ years of relevant experience in building machine learning or deep learning models

- Experience with Natural Language Processing (NLTK) and text analytics for information extraction, parsing and topic modeling.

- Experience with cloud platforms such as Azure, AWS is preferred but not required

- Experience in managing multiple projects and leading a team.

- Strong cross-functional, communication skills that help simplify and move complex problems forward with clients

- Demonstrated experience delivering value to clients using Data Science techniques

- Experience mentoring more junior data scientists

- Comfortable working in a fast paced, highly collaborative, dynamic work environment