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Live In Nhl Data Science Jobs in Minnesota (NOW HIRING)

Elder Research Inc.

Data Scientist

Virginia, MN · On-site

$95 - $130/hr

Lead Data Science Initiatives: Dive deep into complex and often nebulous requirements, applying expertise in areas such as time series forecasting and Natural Language Processing (NLP) to build ...

New

Tactile Medical

Data Scientist

Minneapolis, MN · On-site

Bachelor's degree in data science, statistics, mathematics, computer science, economics, or a quantitative field with strong statistical foundations 4-7 years applied data science or machine learning ...

Tactile Medical

Data Scientist

Minneapolis, MN · On-site

Required : • Bachelor's degree in data science, statistics, mathematics, computer science, economics, or a quantitative field with strong statistical foundations • 4-7 years applied data science ...

Accelint

Data Scientist

Saint Paul, MN · On-site

$105K - $126K/yr

The ideal candidate has at least 2 years of experience in data science, with a demonstrated ability to collaborate with cross-functional teams. Duties & Responsibilities * Lead the design ...

Tactile Medical

Data Scientist

Minneapolis, MN · On-site

$100K - $150K/yr

Qualifications Required: • Bachelor's degree in data science, statistics, mathematics, computer science, economics, or a quantitative field with strong statistical foundations • 4-7 years applied ...

Agiliti Health, Inc.

Data Scientist

Minneapolis, MN · On-site

$93K - $150K/yr

Participate in the development and implementation of data analytics projects across various operations. * Utilize data science tools such as SQL, Databricks, Azure, and Python to analyze data and ...

System One

Data Scientist

Minneapolis, MN · On-site

In this role, you will bridge the gap between traditional data science and software engineering by writing clean, modular Python code to build robust AI capabilities embedded directly into our ...

Agiliti Health, Inc.

Data Scientist

Eden Prairie, MN · On-site

$93K - $150K/yr

Participate in the development and implementation of data analytics projects across various operations. * Utilize data science tools such as SQL, Databricks, Azure, and Python to analyze data and ...

Agiliti Health, Inc

Data Scientist

Minneapolis, MN · On-site

$94 - $150/hr

Participate in the development and implementation of data analytics projects across various operations. * Utilize data science tools such as SQL, Databricks, Azure, and Python to analyze data and ...

New

System One

Data Scientist

Minneapolis, MN · On-site

In this role, you will bridge the gap between traditional data science and software engineering by writing clean, modular Python code to build robust AI capabilities embedded directly into our ...

System One

Data Scientist

Minneapolis, MN · On-site

In this role, you will bridge the gap between traditional data science and software engineering by writing clean, modular Python code to build robust AI capabilities embedded directly into our ...

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All JobsLive In Nhl Data Science JobsLive In Nhl Data Science Jobs in Minnesota

Live In Nhl Data Science information

What is the difference between Live In Nhl Data Science vs Live In Nhl Data Analysis?

AspectLive In Nhl Data ScienceLive In Nhl Data Analysis
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Data Analysis, Statistics, or related; proficiency in Excel, SQL, and visualization tools
Work EnvironmentCollaborative teams, research-focused, often in tech or sports analytics companiesOperational settings, sports teams, or media outlets focusing on game insights
Employer & Industry UsageTech firms, sports analytics companies, NHL organizationsSports teams, media outlets, NHL organizations

Live In Nhl Data Science involves advanced analytics, machine learning, and predictive modeling to analyze NHL data, while Live In Nhl Data Analysis focuses on interpreting data for insights, reporting, and decision-making. Both roles require familiarity with NHL data but differ in technical complexity and scope.

What are the most commonly searched types of Nhl Data Science jobs in Minnesota? The most popular types of Nhl Data Science jobs in Minnesota are:
Live In Nhl Data Science jobs near you

Sr. Data Scientist - Marketing Science & Offerings

Ovative group

Minneapolis, MN • On-site

Full-time

Medical, Retirement, PTO

Re-posted 15 days ago

Job description

About Ovative Group:

Ovative Group is an independent, full-funnel media, measurement, and creative firm. Leveraging our deep industry expertise, we help brands like Best Buy, Domino's, American Eagle, The Home Depot, Post, Disney, Tumi, Michael Kors, Boost Mobile, and UnitedHealth Group transform their media and measurement programs. The result? Profitable growth that speaks for itself.

At Ovative, we don't just track data, we redefine success. How do we do it? Our proprietary MarTech platform, EMRge helps businesses transform marketing into a driver of sustainable growth. Powered by Enterprise Marketing Return (EMR), our differentiated approach to holistic media buying, planning, and measurement, EMRge is the first MarTech platform to measure businesses holistically. We're all about raising the bar every day, and it shows. Our work has been recognized by organizations like Digiday, Google, Inc. 5000, USA Today, and Search Engine Land.

About the Role:

As the Senior Data Scientist, you will play a key role in

  • Developing advanced marketing measurement capabilities that unlock our company vision to transform the measure of marketing success. You will be at the forefront of developing and deliveringdifferentiatedAIassistedmarketing data science and measurement solutions focused on maximizing profitable enterprise revenue and customer value for our clients.

  • Partnering with driven, solution-minded experts, business leaders, analysts, and scientists atOvativein engaging with clients, and defining approaches and road maps for solutions to client problems.

  • Technical mentoring of junior data scientists, guiding their algorithmic, testing methodological approaches, and reviewing their code.

  • Working with technology leaders, productownersand engineers to convert novel solutions developed to scalable new services and productofferingsatOvative.

  • Being a part of an inclusive culture that inspires and motivates the team and attracts new, diverse technical talent to the organization.

Responsibilities of a Sr. Data Scientist:

  • Lead technical contributor in a high-performance data science & advanced analytics team, responsible for your team's productivity, operational excellence, and business impact

  • Drive value across multiple business verticals by leading the technical development and deployment of impactful and interpretable models

  • Partner closely with Engineering and Product Management to scale your team's innovative measurement solutions into product and service offerings

  • Provide mentoring, training, and other opportunities for effective technical development of data scientists

  • Assistwith technical parts of business development as needed, including RFP response,salesand conferencepresentationsusingAIassistancewhere applicable.

  • Build strong relationships across the organization to understandinternal stakeholder needs for trusted data science support

Requirements:

  • 5+ years of hands-on experiencein data science, analytics, or a related quantitative field, with a strongtrack recordof delivering business value through technical innovation.

  • Proven success as atechnical contributor in high-performing data science teams, preferably withinproduct-centric or consulting environments.

  • Very Important: Ability to quickly learn and execute

  • Expertiseinadvanced statistical modeling and machine learning, with hands-on experiencepreferredin techniques such as:

  • Media Mix Modeling (MMM)

  • Incrementality Testing/ Causal Inference

  • AttributionModeling

  • CustomerAnalytics:Lifetime Value (CLV) Modeling,Segmentation

  • Generative AI Data Science

  • Proficiencyinthe following preferredprogramming and data environments:

  • Languages:SQL, and/or R or Python

  • Tools: Git, Docker,MLOps,POSITIDEs, cloud notebooks,Frameworks like Shiny,Streamlit,etc

  • Dataplatforms:BigQuery, Databricks

  • Familiarity withcloud infrastructure and deployment practices(e.g., AWS/GCP/Azure),MLOpspipelines, and containerizationis a plus.

  • Experience withBayesian/Probabilisticmodelingframeworks (e.g.,PyMC, Stan) is a plus.

  • Strongbusiness acumen, especially withindigital and traditional marketing domains; ability to translate data insights into clear strategic recommendations.

  • Excellent communicator: able to lead conversations withtechnical and non-technical stakeholders, including senior client partners and internal executives.

  • Demonstratedleadership and mentorship skills; able tothink independently,guide junior team members and influence cross-functional teams.

  • Bonus: Familiarity withGenerative AIapplications in marketing analytics (e.g., using LLMs for data summarization, content tagging, or creative testing insights).

Pay Transparency

AtOvative, we offer a transparent view into three core components of your total compensation package: Base Salary, Annual Bonus, and Benefits. The salary range for this position below is inclusive of an annual bonus.Actualoffers are made with consideration for relevant experience andanticipatedimpact.Additionalbenefits information is provided below.

For ourSr. Data Scientistpositions, our compensation ranges from $90,000to $132,000, which is inclusive of a 20% bonus.

Benefits of Working at Ovative Group:

We provide strong, competitive, holistic benefits that understand the importance of your life inside and out of work.

Culture:

Culture matters and we've been recognized as a Top Workplace for tenyears running because of it. We demand trust and transparency from each other. We believe in doing the hard and complicated work others put off. We're open in communication and floor plan. We're flat - our interns sit next to VPs, our analysts work closely with senior leaders, and our CEO interacts with every single person daily. Put together, these elements help foster an environment where smart people can support each other in performing to their highest potential.

Ovative is committed to fostering an inclusive environment where everyone can participate and thrive. We do not tolerate discrimination of any kind, including on the basis of race, sexual orientation, gender identity, or gender expression. Our policies reflect this commitment-for example, our medical leave benefits are inclusive of same-sex partners, ensuring equitable care and support for all families.

Compensation and Insurance:

We strive to hire and retain the best talent. Paying fair, competitive compensation, with a large bonus incentive, and phenomenal health insurance is an important part of this mix.

We're rewarded fairly and when the company performs well, we all benefit.

Tangible amenities we enjoy:

  • Access to all office spaces in MSP, NYC, and CHI

  • Frequent, paid travel to our Minneapolis headquarters for company events, team events, and in-person collaboration with teams

  • Generous paid vacation policy

  • 401k match program

  • Top-notch health insurance options, inclusive of same sex partners

  • Family formation benefits including reimbursement options for fertility, pregnancy, and parenting needs

  • Monthly stipend for your mobile phone and data plan

  • Sabbatical program

  • Charitable giving via our time and a financial match program

  • Shenanigan's Day

Working at Ovative won't be easy, but if you like getting your hands dirty, driving results, and being surrounded by the best talent, it'll be the most rewarding job you'll ever have. If you think you can make us better, we want to hear from you!

Apply