Job Details

Overview:

TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. Our client is a media and entertainment company that develops, produces, and markets entertainment, news, and information. It owns and operates a portfolio of news and entertainment television networks, a motion picture company, television production operations, a television stations group, theme parks, and a suite of Internet-based businesses.

Position: Data Scientist

Location: New York, NY 10112

Duration: 12 Months

Job Type: Contract

Work Type: Remote

Shift: ( Mon To Fri) (9.00AM-6.00PM)

Job Description:

Responsibilities:

• Leverage data science to identify patterns as part of long term strategic assessments and recommendations

• Build long-range predictive models to evaluate and optimize long term goals

• Simulate and predict long term demand for various scenarios to assist with investment decisions

• Clearly display data visualization to convey a point in programs such as Tableau

• Develop a comprehensive knowledge of the business, and utilize it to derive exacting data science project requirements from general business problem discussions

• Design and code data products that implement the full scope of ingesting and updating data, building and refreshing models, scoring using those models, and then serving results on an ad-hoc and on-demand basis

• Help drive A/B testing for Marketing and Product teams through reporting and insight.

• Find growth opportunities through customer segmentation and retention analysis. Create customer cohorts through predictive modeling and CRM database marketing.

• Help manage prioritization in sprints and participate in daily scrums.

• Partner closely with Marketing, Product, Ad Sales, Strategy, and Production teams to provide BI support and data analysis.

• Create standardized reporting for multiple groups within the Client's organization.

• Provide ad-hoc analyses, troubleshooting, and deep dives as needed.

• Create presentations

• Advanced (Master or above) degree with specialization in Statistics, Computer Science, Data Science, Economics, Mathematics, Operations Research or another quantitative field or equivalent.

• 5+ years of experience in statistical methods and machine learning within industry and research.

• Understanding of algorithmic complexity of model training and testing, particularly for real-time and near real-time models.

• Has strong knowledge of causal inference techniques, Gen AI (LLM) implementation, or reinforcement learning.

• Solid technical knowledge of A/B testing methodologies, experimental design, statistics and other analytical concepts.

• Experience implementing scalable, distributed, and highly available systems using Google Cloud.

• Proficient in Python and SQL