Senior Data Scientist

Description

We are looking for a Senior Data Scientist to join our dynamic team in India. The ideal candidate will have a strong background in data science, machine learning, and statistical analysis, and will be responsible for driving data-driven decision making within the organization.

Responsibilities

• Developing and implementing data models and algorithms to drive business solutions.
• Analyzing large datasets to identify trends and patterns that can improve business operations.
• Collaborating with cross-functional teams to understand their data needs and provide actionable insights.
• Conducting experiments and A/B testing to validate the effectiveness of models and recommendations.
• Presenting findings and insights to stakeholders in a clear and concise manner.

Skills and Qualifications

• 5-10 years of experience in data science or a related field.
• Proficiency in programming languages such as Python, R, or SQL.
• Strong understanding of machine learning algorithms and statistical modeling techniques.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Solid foundation in mathematics, probability, and statistics with demonstrated depth of knowledge and experience in advanced analytics and data science methodologies (e.g. supervised and unsupervised learning, statistics, data science model development)
• Proficiency in

  Python

  and working knowledge of cloud AI/ML services (Azure Machine Learning and Data bricks preferred) , Gen AI & LLM
• Domain knowledge relevant to the energy sector and working knowledge of Oil and Gas value chain (e.g., upstream, midstream, or downstream) and associated business workflows.
• Proven ability to frame data science opportunities, leverage standard foundational tools and Azure services to perform exploratory data analysis (for purposes of data cleaning and discovery), visualize data, and identify actions to reach needed results.
• Ability to quickly assess current state and apply technical concepts across cross-functional business workflows.
• Experience with driving successful execution, deliverables, and accountabilities to meet quality and schedule goals.
• Ability to translate complex data into actionable insights that drive business value.
• Demonstrated ability to engage and establish collaborative relationships both inside and outside immediate workgroup at various organizational levels, across functional and geographic boundaries to achieve desired outcomes.
• Demonstrated ability to adjust behavior based on feedback and provide feedback to others.
• Team-oriented mindset with effective communication skills and the ability to work collaboratively.