Senior Data Scientist

Company:  Data Masked
Location: New York
Closing Date: 23/10/2024
Salary: £100 - £125 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description

Join to apply for the Senior Data Scientist role at Pave .

Why join Pave?

At Pave, our vision is simple--unlock a labor market built on trust. We partner with our customers to help them build and retain world-class teams through planning, communicating and benchmarking their team’s compensation in real time.

Data Science @ Pave

Data is truly at the heart of what we do here at Pave. Pave Data Scientists are integral collaborators and strategic owners with company-wide impact. Our team members build data infrastructure, create and deploy ML models, define and evaluate metrics, and help create the tools our customers use to understand our unique data set.

How you'll contribute:

We’re looking for a Senior Data Scientist to join our Market Data Team. The Market Data Team prototypes and builds brand new data products, as well as leveraging data to improve our existing ones. You’ll partner with Product Managers and go-to-market leaders to understand user needs, partner with Design to create early prototypes and explorations, then work with our Software Engineering team to scale your insights into high quality, compelling user-facing products.

Required skills and experience:

  • Bachelors or advanced degree in a quantitative discipline: statistics, operations research, social science, computer science, engineering, mathematics, economics, etc.
  • 4+ years of experience in a Data Science role, preferably at a technology company.
  • Expert data manipulation skills with a proficiency in SQL.
  • Expert in statistical modeling with Python or R (e.g., clustering, regression, time series, Bayesian statistics).
  • Strong data intuition and creativity.
  • Strong analytical problem solving skills.
  • Product- and business-minded.
  • Strong ability to communicate technical outcomes to cross-functional audiences.
  • Ability to navigate ambiguity, bringing a project from 0 to 1.

Nice to haves:

  • Experience evaluating the performance of ML models.
  • Experience with data transformations using dbt.
  • Experience building customer-facing data products.
  • Experience working with product managers, engineers, and/or designers.

Compensation

This salary range may include multiple levels based on our assessment of your interview performance and experience. Pave's salary range for this position is $184,500—$254,100 USD.

Our Compensation Philosophy

Pave’s compensation philosophy is to target the 75th percentile of the market for both cash and equity at your job level.

Employee Benefits

As an employee at Pave, you will have your choice of medical, dental and vision insurance, as well as access to mental health services and other perks to promote your wellbeing.

Equal Opportunity Employer

Pave is committed to a diverse and inclusive workforce. We are an equal opportunity employer and do not discriminate on the basis of race, ethnicity, gender, gender identity, sexual orientation, protected veteran status, disability, age, or another legally protected status.

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