Role: Sr. Data Scientist (100% Remote)
Location: New York, NY 10112
Type: 4 Months W2 Contract
Qualifications:
- Minimum 3 years of applied work experience in BI, Analytics, and/or Data Science. Hands on experience analyzing and mining large datasets.
- Willingness to, at times, work extended hours and on weekends with short notice
- Strong applied experience in at least two of the following: SQL R, Python. Experience with predictive modeling, multi-regression, decision tress, and cluster analysis.
- Demonstrated ability to thrive in a fast paced, high throughput environment. Previous experience in Digital Entertainment, High Tech, or Digital Marketing industries is preferred.
- Proven ownership abilities. Can deliver results with a sense of accountability
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 NBCED organization.
- Provide ad-hoc analyses, troubleshooting, and deep dives as needed.
- Create presentations
NOTES FROM HIRING MANAGER:
What is the reason for this opening(s)?
- Working with film team to kick of data science projects, box office, green light decision making, etc.
What is the duration of the assignment?
- 4 months – Possible extension
Can you tell me more about your team?
- 12 full-time employees – data scientist and data engineers
- Various contractors as well
Can you tell me about this position and the day to day activities?
- Internal consulting – data scientist
- Life cycle of a data science project
- Understanding the business process
- Exploring data and creating models
- Deliver results via presentation or tool that helps refresh analysis
- Working with the client – film
- Client meetings, project update meetings
Of the items listed on the job description, can you tell me the top 3 skills for the role?
- Programming experience – Python, etc.
- Presentation skills
- Understanding of media is a huge plus
What stands out to you on a resume?
- Stand out – prior media/streaming experience, business project (results listed out/models), modelling experience, true data science experience.
- Not wanted – minimal experience, business intelligence/analytics/reporting
What has made someone successful in this role in the past? Or unsuccessful in the past?
- Successful – ability to be independent, minimal direction, fast pace, taking initiative, learn on their own, QC on their own work.
- Unsuccessful – not understanding media, don't check their own work
What soft skills are needed to be a good fit for the team?
- Presentation skills
- Explain their model in easy-to-understand terms
- Communication
Can you tell me what your interview process would look like?
- 1 interview with HM. With a potential of a 2nd interview if decision making is needed between candidates.
Will this position be remote or onsite?
- Fully remote – located anywhere in U.S.