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Hypothesis Group Jobs (NOW HIRING)

Red Chalk Group

Engagement Manager

Chicago, IL · On-site

Red Chalk Group has helped business leaders address their greatest challenges, issues, and ... Structured and logical thinking - the ability to dissect a problem, propose a hypothesis driven ...

Red Chalk Group

Engagement Manager

Chicago, IL

Red Chalk Group has helped business leaders address their greatest challenges, issues, and ... Structured and logical thinking - the ability to dissect a problem, propose a hypothesis driven ...

Hive Group LLC

Data Scientist

Mclean, VA · On-site

Hive Group, a HUBZone-certified SDVOSB and multiple award-winning organization, delivers innovative ... Mastery of regression, forecasting, hypothesis testing, and machine learning techniques.

Judge Group, Inc.

Data Scientist

Jacksonville, FL

$55 - $60/hr

Solid grounding in statistical methods - time series, regression, clustering, and hypothesis ... This job and many more are available through The Judge Group. Please apply with us today!

Hive Group LLC

Data Scientist

Mclean, VA · On-site

Hive Group, a HUBZone-certified SDVOSB and multiple award-winning organization, delivers innovative ... Mastery of regression, forecasting, hypothesis testing, and machine learning techniques.

CSG

Sr./Group Product Management - Bill Payment

OR · Remote

$126K - $166K/yr

Our Sr./Group Product Management - Bill Payment is a player-coach role responsible for the day-to ... hypothesis-driven development, MVPs, A/B tests). * Detail-oriented with strong organizational ...

ECS

Cyber Defense Forensics Analysts - Mid

Washington, DC · On-site

$102K - $117K/yr

... hypothesis-based hunts. * Explore and correlate large data sets to uncover novel attack techniques, monitor and catalog changes in activity group tradecraft, and investigate alerts for enterprise ...

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All JobsHypothesis Group Jobs

Hypothesis Group information

See salary details

$37.5K

$122.7K

$196.5K

How much do hypothesis group jobs pay per year?

As of Jun 12, 2026, the average yearly pay for hypothesis group in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

How does a role within the Hypothesis Group typically collaborate with cross-functional teams to drive research projects forward?

In a Hypothesis Group, professionals frequently work alongside data scientists, product managers, engineers, and stakeholders to design, test, and validate business or product hypotheses. Collaboration often involves initial brainstorming sessions, sharing research findings, and iterating on experiments based on interdisciplinary feedback. This dynamic environment encourages open communication, agile methodologies, and regular meetings to ensure alignment and transparency. Effective teamwork helps accelerate discovery, minimize bias, and deliver actionable insights that inform strategic decisions.

What are Hypothesis Groups?

A Hypothesis Group typically refers to a team or collaborative unit that focuses on developing, testing, and validating hypotheses within scientific, research, or data analysis settings. These groups are essential in experimental design and problem-solving as they systematically approach questions or problems by proposing hypotheses and conducting experiments or analyses to confirm or refute them. Hypothesis Groups often work in academic, corporate, or laboratory environments and play a critical role in advancing knowledge and informing decision-making through evidence-based research.

What is the difference between Hypothesis Group vs Data Analyst?

AspectHypothesis GroupData Analyst
Required CredentialsTypically requires a background in marketing, research, or social sciences; often a bachelor's degreeUsually requires a degree in statistics, mathematics, or related fields; often a bachelor's or master's degree
Work EnvironmentCollaborative teams within marketing or research agencies, often project-basedCorporate or consulting settings, working with large datasets and reporting tools
Employer & Industry UsageUsed by marketing agencies, research firms, and product teams to test hypothesesEmployed across industries including finance, healthcare, and tech for data analysis and reporting

Hypothesis Group professionals focus on testing marketing and research hypotheses, often within agency settings, while Data Analysts handle broader data analysis tasks across various industries. Both roles require analytical skills but differ in focus and work environment.

What are the key skills and qualifications needed to thrive as a Market Research Analyst at Hypothesis Group, and why are they important?

To thrive as a Market Research Analyst, you need strong analytical skills, a background in statistics or marketing, and at least a bachelor’s degree in a related field. Proficiency with data analysis tools such as SPSS, Excel, or Tableau, and familiarity with survey platforms are typically required. Exceptional communication, critical thinking, and problem-solving abilities distinguish top performers in this role. These skills ensure accurate data interpretation, actionable insights, and effective client presentations in data-driven environments.
More about Hypothesis Group jobs
What cities are hiring for Hypothesis Group jobs? Cities with the most Hypothesis Group job openings:
What states have the most Hypothesis Group jobs? States with the most job openings for Hypothesis Group jobs include:
What job categories do people searching Hypothesis Group jobs look for? The top searched job categories for Hypothesis Group jobs are:
Hypothesis Group jobs near you
Infographic showing various Hypothesis Group job openings in the United States as of June 2026, with employment types broken down into 4% As Needed, 2% Full Time, 72% Part Time, 2% Temporary, 18% Contract, and 2% Nights. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Sr. Data Scientist

Sr. Data Scientist

Divisions Maintenance Group

Seattle, WA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago

Divisions Maintenance Group rating

6.5

Company rating: 6.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

117th of 210 rated facilities management

Job description

Description
Title: Sr. Data Scientist
Reports To: Director of Engineering
Department: Product & Engineering
Location: Cincinnati, OH or Seattle, WA
Position Status: Salary Exempt
About DMG:
Divisions Maintenance Group provides facility maintenance services to retail chains and distribution and fulfillment centers across the country.
We are leading the way with our technology, creating world-class products that are revolutionizing the industry and fulfilling our brand promise of "Uninterrupted Peace of Mind."
DMG is a Certified Great Place to Work with a strong, inclusive culture and top-notch benefits.
Job Summary:
We are currently building out a Marketplace Health and Pricing teams and as part of it building a Data Science practice, with the goal of better leveraging advanced analytic solutions. We believe analytics will be a game-changer in the industries we operate in, and we are seeking a Data Scientist to help build and scale our data science and software engineering capabilities. At the outset, you will work on scaled and unique matching and pricing opportunities.
We are a fast-paced, entrepreneurial team - this role will work across many different stakeholders to understand their needs and design solutions suitable for use across the industries we operate in. The ideal candidate will bring demonstrated experience in structured problem solving, model building and tuning, building production level analytics products, data collection & cleansing, analytics execution, and communication of meaningful insights to diverse audiences of varying seniority and familiarity with analytic concepts. We have a fully cloud native stack built primarily on AWS.
What You'll Do:
  • Partnering with stakeholders to translate complex business problems into data science and advanced analytics solutions.
  • Write production level code for robust analytics products.
  • Collaborate with data and software engineers to support data science solutions through the entire product lifecycle, including data wrangling, exploratory analysis, hypothesis testing, modeling, rapid prototyping, business validation and testing, and deployment.
  • Leverage a diverse set of large and unstructured data to derive meaningful insights and information sets.
  • Apply a variety of advanced analytical techniques including predictive modeling, machine learning, time series analysis, simulation, and optimization.
  • Clearly and concisely synthesize and communicate findings to make thoughtful recommendations by combining business savvy with analytic rigor to technical and non-technical audiences.
  • Maintain expertise and awareness of emerging data science techniques, technologies, and potential business applications for AI/ML.

    • What You Need:
  • Master's degree in an analytical field such as Data Science, Computer Science, Applied Mathematics, Operations Research or Economics. 3 additional years of related experience may be substituted in lieu of a degree.
  • 8+ years of relevant data science or software engineering experience developing and deploying production models and writing production code for analytics products.
  • Experience working with a variety of statistical and modeling techniques including hypothesis testing, supervised learning (classification and regression), forecasting, unsupervised clustering, and optimization.
  • Experience with Python and SQL including building python packages.
  • Experience gathering, interpreting, and translating business requirements into analytical solutions.
  • Demonstrated ability to communicate complex analytical concepts and results at multiple levels to technical and non-technical audiences.
  • Experience with code version control platforms like GitHub, GitLab, or Azure DevOps
  • Experience working with data science and analytics teams to develop complex analytics products that have been successfully delivered to customers
  • Experience with large-scale data wrangling using databases or Spark
  • Knowledge of software engineering best practices for full software development life cycle, including coding standards, code reviews, source control management, continuous deployments, and testing
  • Experience working with docker containers
  • Experience working with APIs
  • Experience working with a UI or web framework.
  • Ability to manage the stress of a fast-paced environment.
  • Ability to meet the in-person requirements of the team and/or business needs.

    • What You'll Get:
    At DMG, you'll be part of an amazing team that encourages learning, growth, and advancement. Our company has an entrepreneurial spirit that rewards self-starters and encourages employees to take charge of their own careers.
    Some of our many benefits include:
  • Health, dental and vision coverage on day 1.
  • Dollar-for-dollar 401K match up to 4% of salary with immediate 100% vesting.
  • Paid Primary and Secondary Caregiver leave.
  • Employee Assistance Program to assist with everyday challenges.
  • Paid time off to volunteer.

    • Divisions Maintenance Group is an equal opportunity employer.

    Apply