1

Weekend Data Science R Jobs in Indiana (NOW HIRING)

$152K - $205K/yr

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.

$152K - $205K/yr

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.

Proficiency in SQL and R, Python, SAS Enterprise Miner, SPSS, Stata, Matlab, Minitab, or JMP. (Must ... Education Requirements MINIMUM MSc in Statistics, Mathematics, Computer Science; PhD preferred ...

... science, data analysis, business analysis * 3+ years of experience utilizing SQL or other data extraction language as well as 1 other programing language (Python, R, Java, etc.) * 2+ years of ...

... science, data analysis, business analysis * 3+ years of experience utilizing SQL or other data extraction language as well as 1 other programing language (Python, R, Java, etc.) * 2+ years of ...

We are seeking a Customer Experience Data Scientist / Analyst V to join our dynamic team. The ideal ... Proficiency in Python, R, and SQL, with experience in statistical analytics techniques. Experience ...

Degree in Analytics, Statistics, Mathematics, Computer/Data Science, Engineering, or a related ... Strong programming skills in Python, R, and SQL. Proficiency with data visualization tools such as ...

next page

Showing results 1-20

Weekend Data Science R information

What are some common challenges faced by Weekend Data Science R professionals, and how can they effectively manage project deadlines given a limited work schedule?

Weekend Data Science R professionals often face the challenge of managing complex data analysis projects within a restricted timeframe. Balancing project deadlines with limited availability requires strong time management and clear communication with team members. It's important to set realistic goals for each work session, prioritize tasks that drive the most value, and leverage collaboration tools to stay aligned with colleagues working during weekdays. Building a habit of thorough documentation and regularly syncing with the team ensures that progress continues smoothly, even when not physically present during the standard workweek.

What is a Weekend Data Science R?

A Weekend Data Science R is typically a data scientist or analyst who specializes in using the R programming language to analyze and interpret data, and who works primarily on weekends. This role may be part-time, project-based, or designed for individuals who are balancing other commitments during the week. Weekend Data Science R professionals often handle tasks such as data cleaning, statistical analysis, and creating data visualizations using R. They are valued for their ability to deliver insights and support decision-making processes, often on a flexible schedule. This role is ideal for those who have strong analytical skills and proficiency in R, and who prefer or require weekend work hours.

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

To thrive as a Weekend Data Science R, you need a solid background in statistics, programming (especially in R), and data analysis, often supported by a relevant degree or coursework. Familiarity with data visualization tools, machine learning libraries, and version control systems like Git is commonly required. Excellent problem-solving, time management, and communication skills help you tackle projects independently and convey insights clearly. These skills are crucial for delivering actionable results efficiently while balancing part-time or weekend schedules.
What cities in Indiana are hiring for Weekend Data Science R jobs? Cities in Indiana with the most Weekend Data Science R job openings:
Sr. Data Scientist, Payments

Sr. Data Scientist, Payments

Circle

On-site

$152K - $205K/yr

Full-time

Posted 25 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.

#LI-Remote