Data Scientist

We are seeking experienced Data Scientists at the Senior, Lead, or Principal level ( 3 positions) for a high-impact enterprise analytics engagement supporting a large-scale end client initiative. This role requires a strong combination of hands-on technical expertise, strategic thinking, and business-focused analytics experience. Key Responsibilities • Perform advanced analytics to uncover actionable business insights. • Develop and implement scalable data science models and analytical frameworks. • Translate complex data into business opportunities such as upsell, cross-sell, customer targeting, and opportunity identification. • Design and build large-scale datasets for modeling, mining, and research purposes. • Create dashboards, visualizations, and reporting solutions to communicate findings effectively. • Lead discussions with business stakeholders to define analytical requirements and strategic objectives. • Ensure data quality, governance, and process optimization across analytical workflows. • Develop standardized analytical processes and reusable models for broader team utilization. • Stay current with emerging technologies, AI advancements, and industry trends to drive continuous improvement. Qualifications • Strong hands-on expertise in: SQL, Python • Candidates must be comfortable completing live coding exercises during the interview process. • Ability to think strategically while remaining highly hands-on technically. • Experience translating analytics into business outcomes and customer growth strategies. • Experience supporting Marketing, CRM, or Database Management teams. • Background in customer analytics, commercial analytics, or marketing analytics. • Experience working on the business-facing side of analytics initiatives. • Familiarity with: Tableau, Teradata SQL, Hive / Spark, Clickstream analytics, Java or Scala • Master’s degree in Computer Science, Analytics, Mathematics, Business Intelligence, or related field preferred.