Data Scientist - Python

<p>Job Title : Data Science & Advanced Analytics Specialist<br/><br/> Experience : 5-11 Years<br/><br/> Location : Mumbai (Preferred), Bengaluru (Secondary) <br/><br/>Notice Period : Immediate to 30 Days<br/><br/>Mandatory Skills : <br/><br/>- Data Science & Machine Learning<br/><br/>- Python & SQL<br/><br/>- Marketing Analytics / Retail / CPG Domain Experience<br/><br/>- AWS (Cloud & Big Data tools)<br/><br/>- Power BI<br/><br/>Responsibilities : <br/><br/>- Lead and deliver Data Science / ML models for Marketing Analytics, Retail, and CPG domains.<br/><br/>- Work on large datasets using Python, SQL, PySpark, and AWS cloud platforms.<br/><br/>- Apply supervised & unsupervised learning techniques (classification, regression, clustering, ensemble models, neural networks).<br/><br/>- Build and deploy predictive & prescriptive models for business optimization.<br/><br/>- Deliver insights via Power BI dashboards and storytelling.<br/><br/>- Collaborate with stakeholders to define business problems and deliver measurable outcomes.<br/><br/>What Were Looking For : <br/><br/>- Extensive experience in leading Data Science and Advanced Analytics delivery teams.<br/><br/>- Strong statistical programming in Python (cloud-native platforms like AWS Sagemaker, Azure, or GCP preferred).<br/><br/>- Hands-on experience with large datasets and big data tools (AWS, SQL, PySpark, etc.).<br/><br/>Strong knowledge in at least two areas : <br/><br/>a.

Supervised & Unsupervised Learning<br/><br/>b.

Classification, Regression, Clustering<br/><br/>c.

Neural Networks<br/><br/>d.

Ensemble Modeling (Random Forest, Boosted Trees, etc.)<br/><br/>- Experience with Pricing models is a plus.<br/><br/>- Exposure to at least one domain : Energy, CPG, Retail, Marketing Analytics, Customer Analytics, Digital Marketing, eCommerce, Health, Supply Chain.<br/><br/>- Proven client engagement and business development experience.<br/><br/>- Ability to thrive in a global, collaborative team environment.<br/><br/>- Quick learner with the ability to independently deliver results.<br/><br/>Preferred Qualifications : <br/><br/>- Masters / Ph.D. in Engineering, Computer Science, Statistics, Mathematics, Economics, or related disciplines.<br/><br/>- Strong client engagement & team leadership experience.</p> (ref:hirist.tech)