Data Scientist Manager

Pune MH BP Energy

Entity:

Finance

Job Family Group:

Subsurface Group

Job Description:

  • ROLE SYNOPSIS:
  • The role of Staff data scientist is a senior-level position within a data-science team, responsible for leading and contributing to advanced data analysis, modeling, and machine learning projects. This role plays a pivotal role in extracting actionable insights, driving strategic decision-making, and enhancing business processes through data-driven solutions. Resource allocation, Business impact.
  • KEY ACCOUNTABILITIES
  • Advanced Data Analysis and Modeling:  Feature selection and dimensionality reduction. Model evaluation and validation. Data modeling techniques.
  • Domain knowledge:  Expertise in domain in which the data scientist operates is critical for asking relevant questions and creating meaningful solutions.
  • Business Acumen:  Understanding of business operations, market dynamics, and financial implications to prioritize data science projects that align with the FDO's goals.
  • Out of Code computing:  Use libraries that support out-of-core computing, such as Dask in Python These libraries can process data that doesn't fit into memory by reading it in smaller portions from disk.
  • Machine Learning: Innovation and Strategy – Technical directions on models and techniques in the team. Advanced Machine Learning Skills for complex models. Evaluation techniques
  • Collaboration and Communication:  Effectively communicate to non-technical stakeholders. Domain process understanding from SME. Communicate findings through visualization so interaction with visualization and reporting experts.
  • Continuous Learning:  Stay relevant through technical data science with domain understanding. Using Transfer Learning
  • Data Ethics and Privacy:  Anonymization and Pseudonymization. Data Retention Policies. 
  • Database Management:  Knowledge of working with databases and querying data using SQL or NoSQL databases is valuable for accessing and extracting data.
  • Project Management:  Ability to manage data science projects effectively, including scoping, planning, and delivering results within set timelines.
  • Statistical Analysis and Mathematics:  Strong knowledge of statistical methods and mathematical concepts is essential for data analysis, modeling, and drawing meaningful insights from data.
  • ESSENTIAL EXPERIENCE AND JOB REQUIREMENTS
  • Overall: DS&T – Data & Analysis [Data Science Team] plays a crucial role in driving data-informed decision-making and generating actionable insights to support the company's goals. This team is responsible for processing, analyzing, and interpreting large and complex datasets from multiple datasets to provide valuable insights and recommendations across various domains. Through advanced analytical techniques and machine learning models, the data science team helps optimize processes, predict trends, and create data-driven strategies.  
  • An experienced [10years+] with master's degree in quantitative, qualitative field such as Computer Science, Statistics, Mathematics, Physics, Engineering, or a related data field is often required.
  • Skills: Leadership role in Data Analysis, Programming proficiency in Python, SQL, Azure databricks, Statistics & Mathematics. 
  • Leadership qualities to steer the team. Strategic direction and technical expertise
  • Soft skills: Active listening, translate business problems into data questions, Communication and collaboration, Presentation, Problem solving, Cross-functional, Team management, Stakeholder management.
  • Data Sources: SAP, Concur, Salesforce, Workday, Excel files.
  • Other: Project management. Domain knowledge [Procurement, Finance, Customer], Business Acumen, Critical thinking, Storytelling.
  • Able to prepare analytical reports, presentations and/or visualization dashboards to communicate findings, KPIs and insights to both technical and non-technical stakeholders. 
  • Stay up to date with industry trends, best practices and emerging technologies in data analytics, machine learning, data science techniques.
  • DESIRABLE CRITERIA
  • Certified in SQL, Machine learning, Azure data bricks.
  • Extensive experience (typically 10+ years)
  • Effective team manager, managing team of 6-8 individuals. Lead, senior data scientists and/or data engineers
  • Strong organizational psychology, Mentor for the team
  • Tools and Libraries: Pandas, PySpark, NumPy, and SciPy. NLP, Fuzzy matching logic
  • In-depth understanding of procurement, finance, customer business processes
  • Experience with SAP systems and data structures, including SAP ECC, SAP S/4HANA, or SAP BW.
  • Proven experience in delivering high-quality work within tight deadlines and managing multiple priorities.
     

Travel Requirement

Up to 10% travel should be expected with this role

Relocation Assistance:

This role is eligible for relocation within country

Remote Type:

This position is a hybrid of office/remote working

Skills:

Legal Disclaimer:

We are an equal opportunity employer and value diversity at our company.  We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with disabilities may request a reasonable accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.).  If you would like to request an accommodation related to the recruitment process, please contact us to request accommodations.

If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy.  This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

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