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Predictive Modeling Jobs in Massachusetts (NOW HIRING)

Predictive Modeling: Build and maintain predictive and forecasting models-spanning MMM, attribution, and incrementality-to anticipate media performance and guide allocation decisions before results ...

Senior Data Science Engineer

Cambridge, MA · On-site

$126K - $151K/yr

Develop predictive models to support business initiatives, integrating radar data with other data sources for comprehensive solutions. • Collaboration: Work closely with DSP and Client engineers to ...

Work as part of a team to build predictive models and applied LLMs designed to support the Kemper claims operation in areas such as fraud detection, subrogation identification, vehicle damage ...

... Developing predictive models and conducting scenario analysis to support strategic decision-making - Building and maintaining data pipelines and warehouses to support analytics frameworks ...

You'll build and lead a team focused on predictive modeling, personalization, experimentation frameworks, and emerging ML capabilities that directly impact customer engagement, retention, and ...

Apply advanced statistical methods, predictive modeling, machine learning, and exploratory analysis to examine student success, enrollment, course pathways, and other institutional questions. Develop ...

Apply advanced statistical methods, predictive modeling, machine learning, and exploratory analysis to examine student success, enrollment, course pathways, and other institutional questions. Develop ...

Head of People Analytics

Westwood, MA · On-site

$205K - $277K/yr

From automating processes and building predictive models to leading listening posts and advancing AI-driven solutions, this leader will be at the forefront of innovation in HR. What You'll Do * Lead ...

Head of People Analytics

Boston, MA · On-site

$205K - $277K/yr

From automating processes and building predictive models to leading listening posts and advancing AI-driven solutions, this leader will be at the forefront of innovation in HR. What You'll Do * Lead ...

Head of People Analytics

Boston, MA · On-site

$205K - $277K/yr

From automating processes and building predictive models to leading listening posts and advancing AI-driven solutions, this leader will be at the forefront of innovation in HR. What You'll Do * Lead ...

The Senior Director will lead the development and deployment of AI-driven predictive modeling capabilities for biologics discovery in our Large Molecule Discovery organization. The BioIntelligence ...

Showing results 41-60

Predictive Modeling information

See Massachusetts salary details

$11

$64

$90

How much do predictive modeling jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for predictive modeling in Massachusetts is $64.12, according to ZipRecruiter salary data. Most workers in this role earn between $57.50 and $74.57 per hour, depending on experience, location, and employer.

What is predictive modeling?

A Predictive Modeling job involves using statistical techniques, machine learning algorithms, and data analysis to forecast future outcomes based on historical data. Professionals in this role build and test models to identify patterns, trends, and relationships in complex datasets. They commonly work in industries like finance, healthcare, and marketing to improve decision-making and optimize business processes. Strong skills in programming, data manipulation, and statistical analysis are essential for success in this role.

What does a typical workday look like for someone working in predictive modeling?

A typical day in predictive modeling involves gathering and cleaning data, selecting relevant features, and building statistical or machine learning models to forecast trends or behaviors. You’ll regularly use programming languages and analytics tools to test model performance and iterate on results, while documenting findings and preparing reports for internal teams or clients. Collaboration is often required with data engineers, subject matter experts, and business leaders to ensure that models align with organizational goals. Additionally, you may be tasked with presenting your insights to both technical and non-technical audiences, making strong communication skills essential for success in this role.

What are the key skills and qualifications needed to thrive in predictive modeling, and why are they important?

To thrive in Predictive Modeling, you need strong statistical analysis, data mining, and machine learning skills, often supported by a degree in statistics, computer science, mathematics, or a related field. Expertise with tools such as Python, R, SAS, or SQL, as well as knowledge of data visualization software, is commonly required, and certifications in data science or analytics are a plus. Strong problem-solving abilities, attention to detail, and effective communication are key soft skills for this role. Mastering these skills enables professionals to build accurate models, interpret data-driven results, and clearly communicate insights to stakeholders, which are critical for informed business decision-making.

What are the most commonly searched types of Predictive Modeling jobs in Massachusetts?

The most popular types of Predictive Modeling jobs in Massachusetts are:

What are popular job titles related to Predictive Modeling jobs in Massachusetts?

For Predictive Modeling jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Predictive Modeling jobs in Massachusetts look for?

The top searched job categories for Predictive Modeling jobs in Massachusetts are:

Infographic showing various Predictive Modeling job openings in Massachusetts as of August 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $133,373 per year, or $64.1 per hour.

Manager, Media Analytics

SharkNinja

Needham, MA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


SharkNinja rating

8.2

Company rating: 8.2 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

47th of 161 rated electronics manufacturers


Job description

About Us
SharkNinja is a global product design and technology company, with a diversified portfolio of 5-star rated lifestyle solutions that positively impact people's lives in homes around the world. Powered by two trusted, global brands, Shark and Ninja, the company has a proven track record of bringing disruptive innovation to market and developing one consumer product after another has allowed SharkNinja to enter multiple product categories, driving significant growth and market share gains. Headquartered in Needham, Massachusetts with more than 4,100 associates, the company's products are sold at key retailers, online and offline, and through distributors around the world.
AI at SharkNinja
At SharkNinja, we're building an AI-native culture. We're not waiting for the future; we're creating it. Our people are expected to experiment boldly, adopt new tools, and continuously raise what's possible to create meaningful impact for our consumers. If you believe the best way to do your job hasn't been invented yet, you'll fit right in.
Position Overview
We're seeking a Manager, Media Analytics to lead predictive measurement of our media investments across channels-building forward-looking models that anticipate performance, uncover insights, and fuel smarter, faster decisions.
This role will join a growing Global Marketing Analytics Team, transforming data into clear actions that optimize marketing performance and guide media, social, and creative strategies. The ideal Manager, Media Analytics will thrive in SharkNinja's fast-moving culture - balancing rigor with pragmatism, and using predictive data not only to measure performance but to influence decisions and spark the next opportunity.
This position covers Manager-level roles across our AMER team (Needham, MA, HQ), aligned to the Shark and Ninja brands in the US, Canada, and MX/LatAm markets, and our EMEA team (London, UK), aligned to the UK, France/Germany and other European markets.
Key Responsibilities
  • Predictive Modeling: Build and maintain predictive and forecasting models-spanning MMM, attribution, and incrementality-to anticipate media performance and guide allocation decisions before results are final.
  • KPI Measurement: Own the metrics that matter, ensuring media activity is measured against clear goals and forecasted with increasing precision over time, and that agency partners are held accountable against these benchmarks through robust governance and performance management.
  • Cross-Channel Optimization: Partner with internal teams and agencies to pivot strategies based on real-time insights and forward-looking model outputs.
  • Audience and Creative Effectiveness: Partner with internal teams and agencies to analyze audience and creative effectiveness across SharkNinja's product categories, leading with data-informed insights.
  • Brand & Talent Evaluation: Monitor and report out on brand health and ambassador performance by analyzing consumer sentiment data, ensuring celebrity investments align with SharkNinja's brand identity and drive measurable advertising lift.
  • Signal Detection: Proactively identify signals, anomalies, or emerging patterns in media and market data to flag risks or opportunities before they escalate.
  • Reporting & Dashboards: Build and maintain concise, audience-appropriate dashboards that highlight what's working, what isn't, and where predictive models point next. Collaborate with Data & Engineering teams to maintain the integrity of the media analytics ecosystem, where data quality is validated, and dashboards provide accurate, actionable insights.
  • Insights to Action: Translate complex, model-driven data into compelling stories that lead to concrete recommendations and immediate adjustments.
  • Team & Stakeholder Partnership: Mentor junior analysts and partner closely with regional marketing, brand, performance and agency stakeholders to embed predictive thinking into day-to-day media decisions.

Attributes & Skills
  • Bachelor's or Master's degree in Marketing, Data Science, Statistics, Economics, or a related field.
  • 6+ years of experience in marketing analytics within a consumer-driven industry, with direct experience building or applying predictive/forecasting models.
  • Strong grasp of both digital performance channels and traditional media measurement.
  • Commercially curious mindset that goes beyond the numbers, to understand marketing effectiveness and commercial outcomes.
  • Constantly asks "so what?" and "what should we do differently?" to influence better business decisions.
  • Experience delivering analytics across emerging, growth, and mature markets, with the ability to tailor measurement frameworks, KPIs, benchmarks, and recommendations to reflect the different objectives and stages of market maturity.
  • Hands-on experience with MMM, attribution, or incrementality methodologies.
  • Familiarity with building in AI tools such as Claude.
  • Experience collaborating with agencies and cross-functional teams to act on insights quickly.
  • Ability to simplify complexity, focusing on insights that drive business impact.
  • Excellent communication and presentation skills to influence decision-makers at all levels.
  • Comfortable operating in a fast-paced, agile environment with shifting priorities.

Work Environment
This is a primarily on-site role based in Needham, MA (HQ), with flexibility to work from home 1-2 days per week.
Salary and Other Compensation: The annual salary range for this position is displayed below. Factors which may affect starting pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate.
The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, flexible spending accounts, health savings accounts (HSA) with company contribution, 401(k) retirement plan with matching, employee stock purchase program, life insurance, AD&D, short-term disability insurance, long-term disability insurance, generous paid time off, company holidays, parental leave, identity theft protection, pet insurance, pre-paid legal insurance, back-up child and eldercare days, product discounts, referral bonus program, and more.
Pay Range
$122,000-$145,000 USD
Our Culture
At SharkNinja, we don't just raise the bar-we push past it every single day. Our Outrageously Extraordinary mindset drives us to tackle the impossible, push boundaries, and deliver results that others only dream of. If you thrive on breaking out of your swim lane, you'll be right at home.
What We Offer
We offer competitive health insurance, retirement plans, paid time off, employee stock purchase options, wellness programs, SharkNinja product discounts, and more. We empower your personal and professional growth with high impact Learning Programs featuring bold voices redefining what's possible. When you join, you're not just part of a company-you're part of an outrageously extraordinary community. Together, we won't just launch products-we'll disrupt entire markets.
At SharkNinja, Diversity, Equity, and Inclusion are vital to our global success. Valuing each unique voice and blending all of our diverse skills strengthens SharkNinja's innovation every day. We support ALL associates in bringing their authentic selves to work, making an impact, and having the opportunity for career acceleration. With help from our leadership, associates, and our community, we aim to have equity be a key component of the SharkNinja DNA.
Learn more about us:
Life At SharkNinja
Outrageously Extraordinary
SharkNinja Candidate Privacy Notice
  • For candidates based in all regions, please refer to this Candidate Privacy Notice.
  • For candidates based in China, please refer to this Candidate Privacy Notice.
  • For candidates based in Vietnam, please refer to this Candidate Privacy Notice.

We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, disability, or any other class protected by legislation, and local law. SharkNinja will consider reasonable accommodations consistent with legislation, and local law. If you require a reasonable accommodation to participate in the job application or interview process, please contact SharkNinja People & Culture at accommodations@sharkninja.com

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