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Weekend Data Science Jobs in Minnesota (NOW HIRING)

$152K - $205K/yr

Create data visualizations to translate analytic and data science results for broad understanding across the business * Build scalable automation solutions using SQL, dashboards, and other tools to ...

As we advance our data science and analytics capabilities, we want experts in modeling complex business problems and discovering business insights using statistical, algorithmic, mining, and ...

Senior AI/Data Scientist (MSP)

Wayzata, MN · On-site

$105K - $160K/yr

The Senior AI & Data Science job plans and leads the development of artificial intelligence models from design and prototyping through deployed solutions to drive decision making. With minimal ...

Senior AI/Data Scientist (MSP)

Wayzata, MN · On-site

$105K - $160K/yr

The Senior AI & Data Science job plans and leads the development of artificial intelligence models from design and prototyping through deployed solutions to drive decision making. With minimal ...

The Senior AI & Data Science job plans and leads the development of artificial intelligence models from design and prototyping through deployed solutions to drive decision making. With minimal ...

Computer Science, Statistics, Mathematics, or related field * Experience in predictive modeling. * Proficiency in SAS, R, Python, and Big Data technologies. * Strong communication skills and ability ...

Associate Data Scientist, Marketing

Richfield, MN · Hybrid

$61K - $61K/yr

Bachelor's degree in a highly quantitative field (e.g., Computer Science, Engineering, Physics ... data platforms such as GCP, AWS, Snowflake etc. for model development, analysis, and ...

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Weekend Data Science information

What are the key skills and qualifications needed to thrive as a Weekend Data Scientist, and why are they important?

To thrive as a Weekend Data Scientist, you need strong analytical skills, proficiency in statistics, and expertise in programming languages such as Python or R, often supported by a degree in a quantitative field. Familiarity with data analysis tools like SQL, machine learning libraries (e.g., scikit-learn, TensorFlow), and data visualization platforms (e.g., Tableau) is typically required. Excellent time management, problem-solving ability, and effective communication are crucial soft skills for delivering insights on tight weekend deadlines. These skills ensure that data-driven decisions can be made efficiently and accurately, even within limited time frames.

What is a Weekend Data Science job?

A Weekend Data Science job typically refers to a part-time or contract-based data science position where the primary work hours are on weekends. These roles are ideal for students, professionals seeking extra income, or those looking to gain experience in the data science field without committing to a full-time weekday schedule. Weekend data scientists analyze data, build models, and generate insights just like full-time data scientists but with flexible or reduced hours that fit around a weekend schedule.

What are some typical challenges faced by data scientists working specifically on weekends, and how can they be managed?

Data scientists working weekend shifts often encounter challenges such as limited access to colleagues for collaboration or support, since many team members may not be available outside standard business hours. Additionally, urgent issues or data anomalies may require quick, independent problem-solving. Proactive communication with weekday teams, thorough documentation, and setting up clear protocols for handoffs can help manage these challenges and ensure smooth workflow continuity.

What is the difference between Weekend Data Science vs Part-Time Data Analyst?

AspectWeekend Data SciencePart-Time Data Analyst
CredentialsTypically requires a degree in data science, statistics, or related fieldOften requires a degree or relevant experience in data analysis or related fields
Work EnvironmentProject-based, flexible hours, often remote or on-site during weekendsFlexible hours, may be remote or on-site, often with less technical complexity
Industry UsageUsed in tech, finance, healthcare, and startups for specialized projectsCommon in retail, marketing, and small businesses for routine data tasks

Weekend Data Science roles focus on complex data projects requiring advanced skills, often during weekends, while Part-Time Data Analysts handle routine data tasks with less technical depth, offering flexible schedules. Both roles serve different needs but share a focus on data work outside standard hours.

What are the most commonly searched types of Data Science jobs in Minnesota? The most popular types of Data Science jobs in Minnesota are:
What cities in Minnesota are hiring for Weekend Data Science jobs? Cities in Minnesota with the most Weekend Data Science job openings:
Sr. Data Scientist, Payments

Sr. Data Scientist, Payments

Circle

On-site

$152K - $205K/yr

Full-time

Posted 22 days ago


Job description

Circle (NYSE: CRCL) is one of the world's leading internet financial platform companies, building the foundation of a more open, global economy through digital assets, payment applications, and programmable blockchain infrastructure. Circle's platform includes the world's largest regulated stablecoin network anchored by USDC, Circle Payments Network for global money movement, and Arc, an enterprise-grade blockchain designed to become the Economic OS for the internet. Enterprises, financial institutions, and developers use Circle to power trusted, internet-scale financial innovation. Learn more at circle.com.

What you'll be part of:

Circle is committed to visibility and stability in everything we do. As we grow as an organization, we're expanding into some of the world's strongest jurisdictions. Speed and efficiency are motivators for our success and our employees live by our company values: High Integrity, Future Forward, Multistakeholder, Mindful, and Driven by Excellence. We have built a flexible work environment where new ideas are encouraged and everyone is a stakeholder.

What you'll be responsible for:

As a Senior Data Scientist at Circle, you'll work closely with business partners to better understand our products, better understand the payments ecosystem, and enable better decision-making with data. We are a passionate team with a deeply analytical approach and your work will support our mission to be a world-class company driven by data. One of our big bets is on payments.We've announced our Circle Payment Network and are committed to building an amazing payments product onchain.If you are curious about data, love going deep on problems across product and modeling, enjoy deriving insights, love to dig deep, have experience improving data products, have experience in payments, and are motivated by impacting business, we want to hear from you.

What you'll work on:
  • Partner with the payments team by translating the business needs to design and develop core tables, investigate product use, investigate how other payments products work onchain, and conduct research that will help us build the best products in class

  • Perform strategic analysis and research to identify new opportunities where business can be improved

  • Create data visualizations to translate analytic and data science results for broad understanding across the business

  • Build scalable automation solutions using SQL, dashboards, and other tools to create leverage for yourself and the payments team

  • Partner with leaders effectively employing clear and structured communication to tell a "story" focused on business insights & data

  • Occasionally, share your results with larger audiences to educate them on the payments product and ecosystem

You will aspire to our core values:

  • Multistakeholder - you have dedication and commitment to our customers, shareholders, employees and families and local communities.

  • Mindful - you seek to be respectful, an active listener and to pay attention to detail.

  • Driven by Excellence - you are driven by our mission and our passion for customer success which means you relentlessly pursue excellence, that you do not tolerate mediocrity and you work intensely to achieve your goals.

  • High Integrity - you seek open and honest communication, and you hold yourself to very high moral and ethical standards. You reject manipulation, dishonesty and intolerance.

  • Future Forward - Embracing innovation to stay ahead and drive the evolution of money.

What you'll bring to Circle:
  • 5+ years of experience in data science.

  • Proficiency in SQL and at least one programming language, such as R or Python, for data manipulation, analysis, and model.

  • Strong understanding of statistics and experience applying statistical methods to understand business outcomes and customer behavior.

  • Proven experience in planning and driving analytical and data science projects.

  • Excellent analytical and problem-solving skills, with attention to detail.

  • Strong communication skills to convey complex findings and insights to both technical and non-technical partners.

Strong preference for candidates with deep knowledge and/or experience in:

  • Payments products and services

  • Exploring blockchain data and exploring public transaction data

Circle is on a mission to create an inclusive financial future, with transparency at our core. We consider a wide variety of elements when crafting our compensation ranges and total compensation packages.

Starting pay is determined by various factors, including but not limited to: relevant experience, skill set, qualifications, and other business and organizational needs. Please note that compensation ranges may differ for candidates in other locations.

Base Pay Range: $152,500-$205,000

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status, or any other protected status required by the laws in the locations where we hire. Additionally, Circle participates in the E-Verify Program in certain locations, as required by law.

Should you require accommodations or assistance in our interview process because of a disability, please reach out toaccommodations@circle.comfor support. We respect your privacy and will connect with you separately from our interview process to accommodate your needs.

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