Senior Manager, Data Science

Senior Manager, Data Science

  • Anywhere

Company Name:-
CoreCompete

Job Location:-
Hyderabad, Telangana

Job Summary:-
Experience : 12+ Years
Location : Hyderabad
Job Overview :
Core Compete, a leader in Cloud Analytics, is now part of the Accenture Applied Intelligence (AI) team.

To know more, read here.

Our capabilities in Cloud Data Warehousing, AI & ML Innovation, Analytics Application Modernization, and Intelligent Decisioning, have helped global Fortune 1000 companies to develop and deploy modern cloud-based analytical solutions.

Our clients are in financial services, retail, manufacturing, and media.

We have our employees spread across U.

S.

, U.

K.

, and India who specialize in cloud engineering, software engineering, data engineering, managed services, data science, and business consulting.

We are a top-tier partner with AWS, Google Cloud, Azure, SAS, Snowflake, Databricks, and others, with 500+ certifications completed by our team members.

We are a certified Great Place to Work (GPTW) company and our employees rate us highly on being the best place to learn and grow
Job Duties and Responsibilities :
Management: Manage a large team of 20-30 people including managers and lead data scientists; Create processes to manage the team well via managers and leads for high productivity, high engagement, and low attrition; Design and implement initiatives to improve the team morale, camaraderie, and collaboration; Work well with the team members to maintain high credibility, respect, and fairness as measured in GPTW and internal surveys
Contribute to building of an organization, beyond own department; Implement office-wide processes for the team and contribute ideas and feedback to those discussions; Take up management responsibilities of initiatives which impact all teams
Client projects and Internal development: Leadership role in complex data science projects in area of expertise and work as solutions architect on projects; Analytics lead on major client projects responsible for data science application development and its productionization; Take responsibility for requirements gathering, solution design, development, and developing a production level data science solution; Guide team members on project work and take responsibility for the analytics deliverables; Initiate, conceptualize, and deliver accelerators with best practice

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