Senior Manager Data Science- Onsite

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

As a Data Science Senior Manager, you will manage multiple consulting projects of varying complexity and ensure on-time and on-budget delivery for clients. You will lead a team of data scientists and collaborate across cross-functional groups, while contributing to new business development, supporting strategic business decisions and maintaining & strengthening client base

• 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

Job Location

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. 

Qualification & Experience

• Bachelor's or Master's degree in a quantitative field (CS, machine learning, mathematics, statistics) or equivalent experience.
• 8-15 years of experience in data science, building hands-on ML models
• 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