Who We Are:

At Newfish, our mission is to build the strongest foundation for person identity and addressability on the market and develop best-in-class enterprise-grade prospecting solutions for CMOs. Fueled by thoughtful strategists, data scientists, engineers, and problem-solvers, our platform addresses core issues in audience creation, segmentation, and targeting. We’re excited to fill a key strategic gap in the modern marketing toolkit and power existing platforms to higher performance.

Position Description:

Newfish, Inc is seeking candidates for Data Scientists to be located remotely within the United States. This position is fully remote for now but NYC-based once we reopen our offices later in the year.

With data quality and modeling sitting at the crux of Newfish’s mission, you will be joining the team responsible for our foundational offerings. Newfish data scientists work on a wide range of problems including entity resolution, data quality enhancement, propensity modeling, and ad performance optimization, as well as operational scaling projects across these areas. We’re growing quickly and this role has the potential for huge impact on our trajectory. You’ll be reporting directly to our Chief Data Science Officer and working closely with the product and engineering teams. The ideal candidate is a critical thinker and a good communicator who excels in a fast-paced environment. Get in on the ground floor of our expanding data science team!

Us:

We move quickly and deliver amazing data science products across the areas of entity resolution, data quality enhancement, propensity modeling, and ad performance optimization.
We build machine learning models that drive and scale the core of our business, working closely with the engineering team as needed for infrastructure, development and deployment.
We collaborate across the org, as well as with clients, to frame and tackle a problem, both mathematically and within the business context.
We communicate rationale and findings from model development and analyses to facilitate client and operational decisions.
We run surveys, design and track experiments for data science products as well as analyses throughout the organization.
In short, we own all phases of the data science product lifecycle (exploratory data analysis, model development, model productionizing, rollout, and evaluation)

You:

M.S. or Ph.D. in Statistics, Operations Research, Mathematics, Computer Science, or other quantitative field. (Ph.D. preferred)
2+ years of industry experience delivering and scaling successful and innovative machine learning products.
Track record of success working both independently and with key stakeholders to identify and solve data science problems.
Demonstrated success achieving deadlines while conducting high-impact data science utilized for decision making.
Strong skills in statistical languages (e.g. Python/R) and querying languages (e.g. SQL).
Familiarity with Bayesian/Frequentist statistics for hypothesis testing.
Experience in one of our core areas (entity resolution, data quality enhancement, propensity modeling, and ad performance optimization) or with survey based measurement and weighting techniques a plus! (but not required)
With the above said, we always encourage people of all backgrounds and experiences to apply. We understand that job listings don't always allow your unique work history to shine so we invite you to show us what you know!

Seniority Level: Mid-Senior level

Employment Type: Full-Time

How to Apply: Qualified and interested individuals should apply by submitting their resume and cover letter (optional) to careers@newfish.us with the job title in the subject line.

Newfish Inc is an Equal Opportunity Employer

Newfish Inc does not discriminate on the basis of race, color, religion, religious affiliation, national origin, alienage or citizenship status, age, sex, sexual and other reproductive health decisions, creed, disability, sexual orientation, gender or gender identity or expression, marital or partnership status, pregnancy, arrest or conviction record, caregiver status, military or veteran status, actual or perceived status as a victim of domestic violence, sexual violence or stalking, unemployment status, credit history or any other basis prohibited by applicable law.