Manager - DS - Onsite

Date: May 11, 2022

Location: US, United States

Company: Tredence

About Tredence

Job Summary

As a Data Science Lead, 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

  1. 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
  2. Work with teams of smart collaborators. Be responsible for their appraisals and career development.
  3. Participate and lead executive presentations with client leadership stakeholders.
  4. Be part of an inclusive and open environment. A culture where making mistakes and learning from them is part of life
  5. 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

  1. Solve some of the most impactful business problems for our clients.
  2. Lead multiple teams across clients ensuring quality and timely outcomes on all projects.
  3. Lead and manage the onsite-offshore relation, at the same time adding value to the client.
  4. Partner with business and technical stakeholders to translate challenging business problems into state-of-the-art data science solutions.
  5. Build a winning team focused on client success. Help team members build lasting career in data science and create a constant learning/development environment.
  6. Present results, insights, and recommendations to senior management with an emphasis on the business impact.
  7. Build engaging rapport with client leadership through relevant conversations and genuine business recommendations that impact the growth and profitability of the organization.
  8. Lead or contribute to org level initiatives to build the Tredence of tomorrow.

Qualification & Experience

  1. Bachelor's or Master's degree in a quantitative field (CS, machine learning, mathematics, statistics) or equivalent experience.
  2. 6-8+ years of experience in data science, building hands-on ML models
  3. 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
  4. 5+ years programming experience (Python, R or any other relevant language)
  5. 5+ years of relevant experience in building machine learning or deep learning models
  6. Experience with Natural Language Processing (NLTK) and text analytics for information extraction, parsing and topic modeling.
  7. Experience with cloud platforms such as Azure, AWS is preferred but not required
  8. Experience in managing multiple projects and leading a team.
  9. Strong cross-functional, communication skills that help simplify and move complex problems forward with clients
  10. Demonstrated experience delivering value to clients using Data Science techniques
  11. Experience mentoring more junior data scientists
  12. Comfortable working in a fast paced, highly collaborative, dynamic work environment

Competencies

Think Impact
Tech Skill2
Do the right thing
Be Entrepreneurial
Tech Skill3
Constantly Curious
Tech Skill1
Pursue Excellence
Business Interview
Tech Skill4
Tech Skill5

Why Join Tredence?