Skip to content

Open nowPosted today

Data Scientist - Forecasting

New Balance244 open roles

Where
Boston, MA Headquarters - (NB)
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowData Scientist - ForecastingNew Balance · Boston, MA Headquarters - (NB)
  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on New Balance's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market. New Balance postings stay open a median of 10 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted today

New Balance median: 10 days open

The posting

Who We Are:

Since 1906, New Balance has empowered people through sport and craftsmanship to create positive change in communities around the world. We innovate fearlessly, guided by our core values and driven by the belief that conventions were meant to be challenged. We foster a culture in which every associate feels welcomed and respected, where leaders and creatives are inspired to shape the world of tomorrow by taking bold action today.

Senior Data Scientist, Forecasting

The Data Science Team at New Balance is the center of excellence for data science across all aspects of our global retail business. We create value for New Balance through actionable data, engaging insights, and transformative AI technology. Data scientists at New Balance use a wide variety of techniques to make a positive impact in all aspects of the sport and fashion retail business including demand planning, customer service, marketing, ecommerce, and supply chain.

JOB MISSION : As a Senior Data Scientist, you will joinand contribute to our ongoing forecasting initiatives focused on improving the accuracy, scope, reach, and usability of forecasting methods on a global level.. You will be responsible for building and maintaining relationships with our business partners, developing and maintaining forecasting models solving both near-term and long-term challenges, and deploying forecasting results into machine- and human-usable formats. Additionally, you will have the opportunity to identify additional areas outside of forecasting that you are interested in learning more about and using data to drive positive business outcomes.

MAJOR ACCOUNTABILITIES:

In this role, you will:

  • Develop and improve forecasting models for demand planning, allocation, assortment, inventory, and related planning decisions.
  • Analyze demand, inventory, traffic, logistics, retail fashion, and sport-trend data to identify drivers of forecast performance.
  • Translate business needs into modeling requirements and communicate model outputs in clear, actionable terms.
  • Partner with engineering and MLOps teams to deploy, monitor, retrain, and maintain production forecasting models.
  • Create reusable code, documentation, and tests that improve model reliability and maintainability.

REQUIREMENTS OF SUCCESS:

  • 2+ years of experience as a Data Scientist, ML Engineer, Forecasting Analyst, or similar role.
  • Experience with forecasting models and optimization techniques across areas such as demand planning, inventory optimization, simulation, or decision science.
  • Strong Python and SQL skills with experience building scalable, production-quality modeling workflows using large datasets.
  • Strong problem-solving, communication, and stakeholder partnership skills.
  • BA/BS in Data Science, Statistics, Computer Science, Mathematics, Economics, Engineering, Operations Research, or a related technical field.

Preferred qualifications include:

  • Masters or PhD in a technical field.
  • Practical data science experience in retail, consumer products, or supply chain.
  • Experience with Databricks, Snowflake, Azure, AWS, GCP or similar cloud platforms.
  • Experience building production data science products, APIs, dashboards, optimization engines, or decision-support tools.
  • Familiarity with Agile delivery, product ownership, roadmap planning, and measurable adoption strategies.

Boston, MA Headquarters - (NB) Only Pay Range: $82,000.00 - $105,800.00 - $129,600.00 Annual (actual base pay varying based upon, but not limited to, relevant experience, time in role, internal equity, geographic location, and more.)

Regular Associate Benefits

Our products are only as good as the people we hire, so we make sure to hire the best and treat them accordingly. New Balance offers a comprehensive traditional benefits package including three options for medical insurance as well as dental, vision, life insurance and 401K. We also proudly offer a slate of more nontraditional perks – opportunities like online learning and development courses, tuition reimbursement, $100 monthly student loan support and various mentorship programs – that encourage our associates to grow personally as they develop professionally. You’ll also enjoy a yearly $1,000 lifestyle reimbursement, 4 weeks of vacations, 12 holidays and generous parental leave, because work-life balance is more than just a buzzword – it’s part of our culture.

Temporary associates are provided three options for medical insurance as well as dental and vision insurance and an associate discount.

Part time associates are provided 401k, short term disability, a yearly $300 lifestyle reimbursement and an associate discount.

Flexible Work Schedule

For decades we have fostered a unique culture founded on our values with a particular focus on in-person teamwork and collaboration. Our North American hybrid model encourages rich in-person experiences, showcasing our commitment to teamwork and connection, while maintaining flexibility for associates. New Balance Associates currently work in office three days per week (Tuesday, Wednesday, and Thursday). Our offices are fully open, and amenities are available across our North American office locations. To continue our focus on hybrid work we have introduced “Work from Anywhere” (WFA) for four weeks per calendar year. This model will help us enhance our culture while continuing to maintain elements of flexibility.

Equal Opportunity Employer

New Balance provides equal opportunities for all current and prospective associates to ensure that employment, training, compensation, transfer, promotion and other terms, conditions and privileges of employment are provided without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, age, handicap, genetic information and/or status as an Armed Forces service medal veteran, recently separated veteran, qualified disabled veteran or other protected veteran, or any other protected status.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against New Balance's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.
  3. We apply on New Balance's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.
  4. Every reply, sorted

    New Balance's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.
  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.