Data Scientist

MASTER MIND CONSULTANCY; Bengaluru; On-site; INR 1,200,000 - 1,900,000; Full time

Job summary

Master Mind Consultancy seeks a data science professional to identify business opportunities where advanced analytics, machine learning, and statistical modelling improve decision-making and automation. You will understand challenges, assess value, gather data sources, and develop end-to-end analytics solutions.

Responsibilities include developing ML and statistical models, lifecycle management, and presenting insights to stakeholders.

Qualifications

• Bachelor’s or Master’s degree in Operations Research, Computer Science, Mathematics, Engineering, MIS, or 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 analytics projects.
• Proficiency in Python and R.
• Working knowledge of Microsoft Azure and its analytics ecosystem.
• Strong skills in data cleaning, preprocessing, model development, testing, and lifecycle management.
• Ability to engage with stakeholders to translate business challenges into analytical solutions.
• Knowledge of upstream/midstream/downstream operations would be an advantage.
• Strong analytical, problem-solving, and business consulting skills.
• Excellent verbal and written communication, and cross-functional collaboration across geographically distributed teams.

Responsibilities

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

Skills

Python

R

Azure

Data Science

Machine Learning

Statistics

Data Mining

Operations Research

Education

Bachelor’s or Master’s degree in OR/CS/Math/Engineering/MIS or related field

Tools

Azure

Job description

• 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.