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Internship Python Data Science Jobs in Minnesota

... science programming languages including Python and R • Expertise in data visualization tools and applications, including Power BI and Tableau • Experience managing and merging disparate data ...

... science skills in Python and SQL working with structured data and machine-learning frameworks; version-controlled code development and deployment Ability to transform messy, real-world healthcare ...

... data science skills in Python and SQL working with structured data and machine-learning frameworks; version-controlled code development and deployment • Ability to transform messy, real-world ...

Sr. Data Scientist

Minneapolis, MN · On-site

$110K - $184K/yr

Identify and develop long-term data science processes, frameworks, tools, and standards. * Be a ... Experience with Python, including some exposure to package development and foundational programming ...

Sr. Data Scientist

Minneapolis, MN · On-site

$110K - $184K/yr

Identify and develop long-term data science processes, frameworks, tools, and standards. * Be a ... Experience with Python, including some exposure to package development and foundational programming ...

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Internship Python Data Science information

What are the key skills and qualifications needed to thrive as an Internship Python Data Science, and why are they important?

To thrive as an Internship Python Data Science, you need a solid understanding of statistics, data analysis, and programming in Python, often supported by coursework or academic projects in data science or related fields. Familiarity with tools and libraries such as Pandas, NumPy, Scikit-learn, and Jupyter Notebooks is typically expected. Strong problem-solving abilities, eagerness to learn, and effective communication are valuable soft skills for standing out in this role. These skills ensure interns can analyze data, contribute to team projects, and grow quickly in a fast-evolving technical environment.

What is the difference between Internship Python Data Science vs Data Analyst Intern?

AspectInternship Python Data ScienceData Analyst Intern
Required SkillsPython, SQL, statistics, machine learning basicsExcel, SQL, data visualization tools
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing sectors
Typical TasksData cleaning, modeling, predictive analysisData reporting, dashboard creation, trend analysis

Internship Python Data Science and Data Analyst Intern roles share common skills like SQL and data handling but differ mainly in focus. Data Science internships emphasize programming, modeling, and machine learning, while Data Analyst internships focus on data visualization and reporting. Both are valuable entry points in data careers, often found in similar industries and work environments.

What types of projects can I expect to work on during a Python Data Science internship?

As a Python Data Science intern, you will often work on projects involving data cleaning, exploratory data analysis, model building, and visualization using Python libraries like pandas, NumPy, and scikit-learn. You may assist in preparing datasets, automating data pipelines, or supporting senior data scientists with real-world business problems such as customer analytics or predictive modeling. Collaboration with both technical and non-technical teams is common, providing valuable exposure to the end-to-end data science workflow and opportunities to present your findings.

What is an Internship Python Data Science position?

An Internship Python Data Science position is an entry-level role designed for students or recent graduates to gain practical experience in data science using Python. Interns typically work under the supervision of experienced data scientists, assisting with data analysis, cleaning, visualization, and sometimes building machine learning models. They may also collaborate on real-world projects, learning to use tools and libraries like pandas, NumPy, scikit-learn, and Jupyter Notebook. This internship helps individuals develop technical and analytical skills while building a foundation for a career in data science.
What are popular job titles related to Internship Python Data Science jobs in Minnesota? For Internship Python Data Science jobs in Minnesota, the most frequently searched job titles are:
Sr. Data Scientist - Marketing Science & Offerings

Sr. Data Scientist - Marketing Science & Offerings

Ovative group

Minneapolis, MN • On-site

Full-time

Medical, Retirement, PTO

Posted 19 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!