Data Scientist

Job Title: Data Scientist

Experience: 5\-10 Years

Location: Bangalore

Roles \& Responsibilities

• Identify business opportunities where advanced analytics, machine learning, and statistical modelling can improve decision\-making, workflows, and automation.
• Understand business challenges and assess the potential value of proposed data science solutions.
• Identify relevant data sources, tools, and technologies required to address business problems.
• Perform data cleaning, preprocessing, exploratory analysis, model development, and model testing.
• Develop and implement machine learning, statistical, and advanced analytics models.
• Establish and maintain model lifecycle management processes, including monitoring and continuous improvement.
• Collaborate with business stakeholders and technical teams to develop analytics\-driven solutions.
• Present project outcomes, insights, and recommendations to business teams and identify further opportunities.
• Provide technical mentoring on data science, modelling methodologies, analytics tools, and consulting practices.
• Build collaborative relationships across business functions and geographical teams.

Requisites

• Bachelor//'s or Master//'s degree in Operations Research, Computer Science, Mathematics, Engineering, Management Information Systems, or a related field.
• Strong expertise in Data Science, Advanced Analytics, Machine Learning, Statistical Modelling, Data Mining, or Operations Research.
• Hands\-on experience implementing end\-to\-end data science and advanced analytics projects.
• Proficiency in Python and R.
• Working knowledge of Microsoft Azure and its associated data and analytics ecosystem.
• Strong skills in data cleaning, preprocessing, model development, testing, and model lifecycle management.
• Ability to engage with business and technical stakeholders to identify opportunities and translate business challenges into analytical solutions.
• Knowledge of Upstream, Midstream, or Downstream business operations would be an advantage.
• Strong analytical, problem\-solving, and business consulting skills.
• Excellent verbal and written communication skills.
• Ability to collaborate with cross\-functional and geographically distributed teams.