Tricon Solutions

Sr. Data Scientist (100% Remote)

Job description

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.

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