Manager - Data Science - Cloud Analytics Firm

Manager-Data Science - Core Compete,Part of Accenture (AI)

Job Title (Level of Position) : Manager, Data Science

Location - Hyderabad, India

About Core Compete :

Core Compete (www.corecompete.com) is a global cloud analytics firm. With our capabilities in Cloud Data Warehousing, AI & ML Innovation, Analytics Application Modernization, and Intelligent Decisioning, we accelerate value from cloud analytics for global Fortune 1000 companies. Our clients are in financial services, retail, manufacturing, and media. We are growing rapidly with around 300 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. Core Compete is a certified Great Place to Work (GPTW) company and our employees rate us highly on being the best place to learn and grow.

Responsibilities :

- Management : Line manager for several analysts; Lead 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; share responsibilities of managing the team

- Client projects and Internal development: Analytics lead on 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; Conduct proof-of-concept work to test new data science algorithms or features

- Data Science Practice: Develop implementation guidelines, quality control procedures, and documentation for projects; Ensure adherence of the best practices in the project; Work with data science leadership to grow data science expertise and nurture the talent by conducting internal training

Skills:

- Strong on leadership skills and values like delighting customers, taking initiative, being trustworthy, and working collaboratively

- 8-10 years of data science experience using statistics, machine learning, or forecasting

- At least 2-3 years of experience of leading junior team members on projects using machine learning (like Decision Trees, Gradient Boosting, Random Forest, and Neural Networks) or forecasting techniques (ESM, ARIMA, ARIMAX, UCM) to meet analytics requirements

- Advanced expertise in and ability to train team members in Advanced Python for Data Science, Machine Learning or Forecasting, and SQL

- Exceptional communication skills. Demonstrated ability to communicate complex concepts to business audiences

- Ability to work effectively in global teams and customers in different time zones

- Experience in one or more domains, retail, manufacturing, consumer goods or finance/banking

Education :

- Master's degree in a quantitative field (e.g., Statistics, Applied Math, Operations Research, Industrial Engineering, Computer Science)

- Certification programs or courses in Machine Learning or Artificial Intelligence from reputed institutes