Data Scientist

Job description

Role : Data Scientist

Full Time Role

JOB DESCRIPTION:

• Work with team to define business requirements, come up with analytical solution and deliver the solution with specific focus on Big Picture to drive robustness of the solution.
• Work with teams of smart collaborators. Be responsible for their appraisals and career development.
• Participate and lead executive presentations with client leadership stakeholders.
• Be part of an inclusive and open environment. A culture where making mistakes and learning from them is part of life.
• See how your work contributes to building an organization and be able to drive Org level initiatives that will challenge and grow your capabilities.

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.
• Lead or contribute to org level initiatives to build the Tredence of tomorrow.

ELIGIBILITY CRITERIA:

• 3-7 years of experience in data science, building hands-on ML models.
• Hands-on experience with SQL, R, Python, Spark, and building machine learning models.
• Proven ability as a full stack data scientist who develops, optimizes, and scales models for the production environment. a. Derive metrics for model performance monitoring and conduct continuous model performance monitoring (after deployment).
• Proven industry experience of designing, leading, and managing large-scale data science projects and collaborating with data engineers and Product Managers. a. Work with data engineers to test and validate training and production data pipelines, among other tasks.
• Strong understanding of the fundamental concepts of popular statistical and ML models.
• Experience in managing multiple priorities and leading a team.
• Strong communication skills with excellent ability to synthesize complex information.
• Ability to solve complex business problem through a blend of logical and creative thinking.
• A learning and growth mindset.
• Experience with BI tools such as Power BI, Tableau is preferred but not required.
• Experience with cloud platforms such as Azure, AWS is preferred but not required.