Data Scientist

Data Scientist at PRI Global Data Scientist at PRI Global in Liberty Corner, New Jersey Posted in 2 days ago.

Type:

full-time

Job Description:

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.