Data Scientist II

2+ years of data science experience in an industry environment.

Have solid statistical and machine learning foundations.

Familiar with machine learning concepts (e.g.

regression/classification, clustering, offline/online model evaluation).

Experience with advanced machine learning techniques, including supervised and unsupervised learning, graph algorithms, deep learning (e.g., NLP), recommendation systems, and generative AI.

Experience with Python and SQL, and ML frameworks (e.g.

Apply a diverse set of expertise including data mining, statistical analysis and machine learning to deliver impactful, objective, and actionable data insights that enable informed business and product decisions

Collaborate with cross-functional teams, including sales, marketing, and product, to identify business opportunities and develop data-driven solutions that drive growth and engagement.

Partner with line of business teams and collaborate with product managers, engineers and data scientists to foster data-driven decisions that yield significant impacts

Able to effectively communicate analysis, insights and recommendations to high-level business partners in verbal, visual and written formats