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Data Science
1 month ago
Over the last six and a half years, we have worked with over 60+ Fortune 10/100/500 or equivalent companies across 10+ industries, such as Healthcare, Retail, CPG, and Manufacturing, while establishing our global presence across 15+ cities with our headquarters in Bangalore, Chicago, Toronto, and Amsterdam. In this journey, we have been consistently strengthening in size year after year, with Data Scientists & Engineers, Consultants, and Visualization experts joining our cohort.
Rightfully, we have been Great Place to Work® Certified™ in India two years in a row and Accredited for Inclusive Practices by GPTW, India. We have also been recognized among the Top 10 companies in the 50 Best Firms for Data Scientists to Work by AIM 2023, emerged as a Leader in AIM’s Penetration and Maturity (PeMa) Quadrant 2023 for Data Science Service Providers, included in Forrester’s Customer Analytics Service Provider Landscape, Q1 2023, recognized among the Best Firms for Women in Tech by Analytics India Magazine, 2023, ranked #77 on the Inc. 5000 List of fastest-growing private companies in America 2022, and included in the Gartner® Magic Quadrant™ for Data and Analytics Service Providers Report 2022, among others.
WHAT'S IN IT FOR YOU
Growth and Learning: Unlock your potential in an atmosphere of growth, diverse job streams, and comprehensive analytics training to excel in solving client challenges.
Flexible and Inclusive Culture: Enjoy work-life balance with a flexible & hybrid work culture, while being part of an inclusive and diverse environment that values your well-being.
Recognition and Impact: Join an award-winning team that celebrates excellence and contributes to meaningful solutions that shape industries and make a difference.
Responsibilities
As Manager Data Scientist you will be responsible for a wide range of engagements listed below:
Develop a comprehensive project plan that aligns with the scope and objectives of the project.
Develop appropriate solution design that will help client achieve their goals.
Assign delivery team members to different activities suited to their individual skills.
Lead the execution of project activities according to the project plan. Monitor the project, track milestones, and adhere to agreed-upon timelines and scope.
Accountable for the delivery quality of the project in question.
Comply with all the critical dimensions of the delivery scorecard, report as-is facts on those dimensions, and develop and execute action plans to improve delivery scores.
Lead internal scrum meetings and stand-ups with the clients and Weekly Business Reviews with the clients.
Collaborate with the Engagement Manager, Account Delivery Manager, and client stakeholders to gather business requirements for the project.
Ensure compliance with best practices and established processes for quality assurance—for example, using quality assurance checklists, coding best practices, peer reviews, and documentation.
Provide both business and technical guidance to the delivery team.
Coach individuals in the team and build a high-performance workplace.
Establish an environment of mutual trust and respect and encourage the team to experiment with new delivery ideas.
Review the team's deliverables before sharing them with clients, including codes, presentations, worksheets, emails, etc.
Required Skills (Must have)
Tech :
Advanced knowledge of probability and statistics
Advanced knowledge of Practical Machine Learning and awareness of the key pitfalls in machine learning and approaches to addressing them
Intermediate knowledge levels in SQL and Python
Intermediate knowledge of project management methodologies and tools
Intermediate knowledge of MS Office applications: MS Excel, MS PowerPoint, and MS Word
Non-tech:
Strong business acumen with an ability to assess the financial impact of decisions, both in running the delivery team and delivering solutions to clients.
Ability to storyboard presentations effectively and hold conversations with mid-management-level clients.
Ability to recognize pragmatic alternatives vis-à-vis a perfect solution and get the delivery teams on board to pursue them, balancing time priorities with potential business impact.
Strong people skills, including conflict resolution, empathy, communication, listening, and negotiation.
Provide leadership and mentorship to the delivery team.
Self-driven with a strong sense of ownership.
Required Skills (Good to have)
Tech :
Advanced knowledge of project management methodologies and tools
Advanced knowledge levels in SQL and Python
Intermediate to advanced knowledge in other areas of data science—namely, technical areas such as time series forecasting, Bayesian data analysis, Operations Research, and analytics domain areas such as Pricing analytics, Media Mix Modeling, B2B/B2C Customer analytics, etc.
Non-tech:
Solution proposals, collaborating with growth, customer success, and central solutioning functions
Educational Qualifications
An undergraduate degree in engineering, statistics, mathematics, computer science, or another technical field.
For those with an undergraduate degree in non-technical fields, relevant prior work experience and technical aptitude will be important.
Years of experience
6-10 years of relevant work experience
