Senior Data Scientist - Advanced Analytics

Justworks
New York, NY
On-siteCareer-pivot friendly

Who this role is best for

Experienced data scientists with a background in business modeling and strong communication skills will find this collaborative, enterprise-focused role in New York.

Best fit for

  • Candidates with 7+ years of experience in business modeling and predictive analytics
    — “7+ years of experience in data science or advanced analytics”
  • Professionals who can translate statistical insights into strategic narratives for executives
    — “Develop clear executive narratives that explain findings, limitations, assumptions, and recommended action”

Things to consider

  • The role demands frequent collaboration with multiple departments including Finance and Product Marketing
    — “You'll primarily partner with Finance, Strategy, Marketing, and Product Marketing”
  • Candidates must be fluent in SQL and experienced with Python for modeling
    — “Fluent in SQL, Experience with Python for statistical analysis and modeling”

How to stand out

  • Highlight experience with financial forecasting and LTV modeling in your resume and interview responses
    — “Strong expertise in at least two of the following: financial forecasting, customer LTV modeling”
  • Emphasize your ability to communicate complex findings in a way that influences business decisions
    — “Excellent communication and data storytelling skills”
  • Showcase your track record of applying AI tools to improve data science impact and reach
    — “Demonstrated curiosity about AI tools and emerging technologies”
Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · Company

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • accurate revenue forecasts
  • effective marketing strategies
  • enhanced customer insights
Typical background
data sciencebusiness analytics

Skills & requirements

Required

Data AnalysisForecastingChurn AnalysisLTV EstimationCustomer Segmentation

Preferred

Ai-assisted ApproachesMarketing Mix Models

Stack & domain

Revenue ForecastingChurn ForecastingLTVCustomer SegmentationMarketing Mix ModelsChannel-investment RecommendationsAi-assisted ApproachesData GovernanceTrusted Data ModelsForecastingCausal ImpactPricing AnalysisData ScienceData ModelingData AnalysisData VisualizationData StorytellingCommunicationProblem-solvingTeamworkLeadershipAttention To DetailFinanceMarketingProduct MarketingBusiness IntelligenceData Analytics

About the role

Original posting from Justworks via Greenhouse

Who We Are

At Justworks, you’ll enjoy a welcoming and casual environment, great benefits, wellness program offerings, company retreats, and the ability to interact with and learn from leaders in the startup community. We work hard and care about our most prized asset - our people.

We’re helping businesses get off the ground by enabling them to focus on running their business. We solve HR issues. We’re data-driven and never stop iterating. If you’d like to work in a supportive, entrepreneurial environment, are interested in building something meaningful and having fun while doing it, we’d love to hear from you.

We're united by shared goals and shared motivations at Justworks. These are best summed up in our company values, which are reflected in our product and in our team.

Our Values

If this sounds like you, you’ll fit right in.

Department

Technology, Data & Analytics Team

Who You Are

You are an experienced data scientist who uses rigorous analysis to help leaders make consequential business decisions. You are comfortable working with imperfect data, ambiguous questions, and situations where a clean experiment is not possible. You can build a forecast, evaluate an investment, estimate causal impact, or design a pricing analysis – and clearly communicate the uncertainty and trade-offs behind your recommendation. 

This role is part of our Advanced Analytics group within our Enterprise Analytics team. You'll primarily partner with Finance, Strategy, Marketing, and Product Marketing to identify and frame domain-specific use-cases as data science problems, design the appropriate technical solutions, and collaborate with business leaders to leverage your insights in their decisions.

Your Success Profile

What You Will Work On

Build and maintain revenue forecasting, churn forecasting, LTV, customer segmentation, and other business planning models

Develop marketing mix models and channel-investment recommendations

Partner with Finance, Marketing, and Product Marketing to turn strategic questions into decision-ready analyses

Develop clear executive narratives that explain findings, limitations, assumptions, and recommended action

Develop and apply AI-assisted approaches to analysis, insight delivery, and data workflows to multiply your impact and expand the reach of data science across the organization

Partner with analytics engineer and data governance to improve and build on our trusted data models

How You Will Do Your Work

In the Data Scientist role, how results are achieved is paramount for your success and ultimately result in our success as an organization. In this role, your foundational knowledge, skills, abilities and personal attributes are anchored in the following competencies:

Good judgment - the exercise of critical thinking, analyzing and assessing problems and implications, identifying patterns, making connections of underlying issues, understanding risks and developing mitigation strategies, and taking ownership of the outcome.

Teamwork and communication - putting our collective best together through documentation, collaboration, relationship-building, listening, empathy, recruiting, and evangelism.

Influence and leadership - fostering a community of knowledge-sharing, collaboration, mentorship, and forward-thinking. This includes helping product partners develop a more data-informed mindset, not just answering their questions.

Skills and knowledge - the capacity to actively learn and apply specific domain knowledge, know-how, and best practices to continually enhance and improve.

In addition, all Justworkers focus on aligning their behaviors to our core values known as COGIS. It stands for:

Camaraderie - Day to day you can be seen working together toward a higher purpose. You like to have fun. You’re an active listener, treat people respectfully, and have a strong desire to know and help others.

Openness - Your default is to be open. You're willing to share information, understand other perspectives, and consider new possibilities. You’re curious, ask open questions, and are receptive to thoughts and feedback from others.

Grit - You demonstrate grit by having the courage to commit and persevere. You’re committed, earnest, and dive in to get the job done well with a positive attitude.

Integrity - Simply put, do what you say and say what you'll do. You’re honest and forthright, have a strong moral compass, and strive to match your words with your actions while leading by example. 

Simplicity - Be like Einstein: “Everything should be made as simple as possible, but no simpler.”

Qualifications

7+ years of experience in data science or advanced analytics, with a track record of driving business impact through statistical analysis and predictive modeling

Strong expertise in at least two of the following: financial forecasting, customer LTV modeling, pricing research, causal inference or quasi-experimental design

Excellent communication and data storytelling skills — you can translate complex findings into clear narratives that influence strategy and decisions

Strong business judgment, with the ability to reframe an initial request around the underlying decision and trade-offs

Fluent in SQL

Experience with Python for statistical analysis and modeling

Familiarity with a cloud-based data stack (e.g. Snowflake, dbt)

Demonstrated curiosity about AI tools and emerging technologies, with a track record of applying them to accelerate analysis, improve rigor, or expand the reach of data science work

The base wage range for this position based in our New York City Office is targeted at $166,000.00 - $214,000.00 per year.

#LI-DG2 #LI-Hybrid

Actual compensation is based on multiple factors that are unique to each candidate, including and not limited to skill set, level of relevant experience, and specific work location.  Salary ranges for positions based in other locations may differ based on the cost of labor in that location. 

For more information about Justworks’ Total Reward Philosophy, including all of the perks and benefits we are proud to offer our team members, please visit Total Rewards @ Justworks. 

Diversity At Justworks

Justworks is committed to maintaining a workplace where diversity of identity, culture, and life experience is the norm and is celebrated authentically and respected consistently. Diversity in our work, our people, and our product drives creativity and innovation, entrepreneurial leadership and integrity, competitiveness, and collaboration throughout our business and in the market. We depend on our differences to make our team stronger, our workplace more dynamic, and our product accessible to all of our customers.

We’re proud to be an equal opportunity employer open to all qualified applicants regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital or familial status, disability, pregnancy, gender identity or expression, veteran status, genetic information, or any other legally protected status. Justworks is fully dedicated to providing necessary support to candidates with disabilities who may require reasonable accommodations. We also provide reasonable accommodations to employees based on their sincerely held religious beliefs, as well as for other covered reasons consistent with applicable federal, state, and local laws. If you're in need of a reasonable accommodation, please reach out to us at accommodations@justworks.com. Your comfort and success matter to us, and we're here to ensure an inclusive experience.

Our DEIB Report 

Source: Justworks careers (Greenhouse)

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