Data Scientist & Lead Data Scientist | Gurgaon (Hybrid) (Gurugram)

Location: Gurgaon Work Mode: Hybrid (3 days/week from office) Experience: 4- 6 years & 5 to 7 Years Role & responsibilities We are hiring a Senior Data Scientist/Lead Data Scientist for a global analytics organization that helps leading enterprises leverage data, machine learning, and customer insights to solve complex business challenges. Key Skills - Python, SQL, Machine Learning (Mandatory), PySpark (Good to Have) - Statistical Modelling, Predictive Analytics, Customer Segmentation, Customer Behaviour Analytics, Pricing Analytics, Promotional Strategy Analytics, Decision Trees, Regression Analysis, Classification Models, Time Series Forecasting, Random Forest etc. Responsibilities - - Build and deploy machine learning and statistical models to solve complex business problems. - Develop predictive models and customer analytics solutions that drive business decisions. - Apply advanced analytical techniques to customer segmentation, pricing, promotions, and behavioural analytics. - Translate business challenges into scalable data science solutions. - Partner with cross-functional stakeholders to deliver actionable insights and measurable business impact. - Work across the complete model lifecycle, from problem definition to deployment and optimization. Preferred candidate profile - 4 to 7 years of hands-on experience in Applied Data Science or Machine Learning. - Strong programming skills in Python and SQL. - Experience with PySpark is an added advantage. - Solid understanding of traditional Data Science and Machine Learning concepts. - Experience working on customer-focused analytics problems. - Excellent analytical, problem-solving, and stakeholder management skills. - Strong communication skills. - Bachelor's or Master's degree in Statistics, Mathematics, Economics, Computer Science, Physics, or a related quantitative discipline. Preferred Candidate Profile - Candidates with strong experience in customer analytics, retail analytics, consulting, or CPG/FMCG analytics environments will be preferred. - Immediate joiners or candidates serving a short notice period are highly preferred. Important Hiring Criteria - Female candidates: Immediate joiners or candidates with a maximum 30-day notice period will be prioritised. Candidates must be available for a face-to-face interview (virtual interviews will not be considered). - Male candidates: Maximum 15-day notice period and availability for a face-to-face interview are mandatory. Location: Gurgaon Work Mode: Hybrid (3 days/week from office) Experience: 4- 6 years & 5 to 7 Years Role & responsibilities We are hiring a Senior Data Scientist/Lead Data Scientist for a global analytics organization that helps leading enterprises leverage data, machine learning, and customer insights to solve complex business challenges. Key Skills - Python, SQL, Machine Learning (Mandatory), PySpark (Good to Have) - Statistical Modelling, Predictive Analytics, Customer Segmentation, Customer Behaviour Analytics, Pricing Analytics, Promotional Strategy Analytics, Decision Trees, Regression Analysis, Classification Models, Time Series Forecasting, Random Forest etc. Responsibilities - - Build and deploy machine learning and statistical models to solve complex business problems. - Develop predictive models and customer analytics solutions that drive business decisions. - Apply advanced analytical techniques to customer segmentation, pricing, promotions, and behavioural analytics. - Translate business challenges into scalable data science solutions. - Partner with cross-functional stakeholders to deliver actionable insights and measurable business impact. - Work across the complete model lifecycle, from problem definition to deployment and optimization. Preferred candidate profile - 4 to 7 years of hands-on experience in Applied Data Science or Machine Learning. - Strong programming skills in Python and SQL. - Experience with PySpark is an added advantage. - Solid understanding of traditional Data Science and Machine Learning concepts. - Experience working on customer-focused analytics problems. - Excellent analytical, problem-solving, and stakeholder management skills. - Strong communication skills. - Bachelor's or Master's degree in Statistics, Mathematics, Economics, Computer Science, Physics, or a related quantitative discipline. Preferred Candidate Profile - Candidates with strong experience in customer analytics, retail analytics, consulting, or CPG/FMCG analytics environments will be preferred. - Immediate joiners or candidates serving a short notice period are highly preferred. Important Hiring Criteria - Female candidates: Immediate joiners or candidates with a maximum 30-day notice period will be prioritised. Candidates must be available for a face-to-face interview (virtual interviews will not be considered). - Male candidates: Maximum 15-day notice period and availability for a face-to-face interview are mandatory.