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Weekend Data Science Jobs in Kentucky (NOW HIRING)

$150 - $230/hr

All the projects above allow the data scientist to work on very large datasets, and a variety of diverse interesting projects that span the domains of data engineering, analytics, statistics, and ...

$95 - $135/hr

Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis ...

$85 - $120/hr

... Science team. The Data Scientists are responsible for supplying statistical rigor to the organization's analytics projects, aimed at discovering actionable insights and opportunities for growth and ...

$150 - $210/hr

This role operates at the intersection of data science, data engineering, cloud analytics platforms, and business strategy, serving as a technical authority and thought leader across complex ...

$110 - $150/hr

Minimum 2 years experience applying data science to pricing and demand problems in ecommerce, retail, or foodservice environments.* Proven ability to build and analyze price response curves or ...

Lead complex data science projects from conception to implementation, working with various stakeholders (e.g., global control center, pilots, sales, etc.) to define objectives, timelines and success ...

$120 - $190/hr

Serve as a subject matter expert in the capabilities of Data Science. * Collaborate with business owners to solve business problems using a broad spectrum of data science tools, packages and ...

$190 - $230/hr

Data Science Strategy & Scientific Leadership*** Serve as a senior scientific resource within the DSAA organization, providing strategic direction and methodological guidance on data science ...

$76 - $125/hr

Customer Accountabilities Understand business context and data infrastructure and translates business problems to viable data science solutions Uses a wide range of programing languages (e.g. Python ...

New

$185 - $211/hr

The Wealthfront Data Science Team utilizes our rich financial and behavioral data to influence key product and marketing decisions, as well as to safeguard our client's information and assets. The ...

$192 - $260/hr

Shape the direction of some of our key data science areas - segmentation, recommendation systems, forecasting, product analytics, churn prediction and insights. * Work closely with Engineering ...

Data Scientist

Lexington, KY ยท On-site

$120 - $180/hr

Working at the intersection of Ecommerce, Data Science, Merchandising, Finance, and Marketing, this individual will transform pricing into a strategic growth lever that improves customer acquisition ...

$185 - $215/hr

Advanced degree in data science, statistics, computer science, or related field. * Proven expertise in machine learning principles and techniques * Experience in Python, using industry-standard ...

$120 - $180/hr

Bachelor's degree in Computer Science, Statistics, Mathematics, or related field; * 5+ years of experience in data science, machine learning, or related field * Strong analytical and problem-solving ...

New

$100 - $125/hr

Present insights, caveats, and recommendations in a format that supports action across remote teams## Requirements* 3+ years of experience in data science, analytics, or applied modeling roles*

$99 - $225/hr

Work with us as we use data science for good.Join us. The world can't wait.**You Have:*** 8+ years of experience correlating complex technical findings into graphical, written, visual, and verbal ...

$176 - $195/hr

You will set the standard for data science excellence, architect scalable solutions, and help define the long-term analytical strategy. You will partner with senior business stakeholders and ...

New

$96 - $107/hr

Bachelor's degree (or equivalent experience) in data science, analytics, mathematics, statistics, public health, economics, social science, or actuarial science. Master's degree preferred. * 2-7 ...

Showing results 41-60

Weekend Data Science information

What is a weekend data science?

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 skills and qualifications are needed to thrive as a weekend data scientist?

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 challenges do data scientists working on weekends face, 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.

Do weekend data scientists work on weekends?

Weekend data scientists may work on weekends depending on project deadlines, company policies, or client needs. Typically, data science roles involve regular weekday hours, but some positions require weekend work, especially in roles with flexible or project-based schedules. It is important to clarify work hours during the hiring process or in job descriptions.

What are the most commonly searched types of Data Science jobs in Kentucky?

The most popular types of Data Science jobs in Kentucky are:

Principal Data Scientist (Northern)

Atlassian

Eastern, KY โ€ข On-site

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Analytics & Data Science | San Francisco, United States | Remote, Remote |

Atlassians can choose where they work โ€“ whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity.

Your future team

You will be part of a world-class Data Science team that leverages data to drive insights about our products and customers. The Data Science team partners closely with Product Managers/Engineers/Researchers/Data Engineers/Marketers/Privacy and Executive teams across Atlassian to drive and influence. The team is responsible for using a variety of analysis and data-science techniques to understand how Atlassianโ€™s customers engage with our products and communications and, in doing so, identify, design, and measure the success of product investments.

In this role, you will:

Collaborate on a variety of product and business problems with a diverse set of cross-functional partners and become a trusted strategic partner through the structure and clarity of your work.

Apply technical expertise with quantitative analysis, experimentation, and the presentation of data to develop strategies for our business and help solve the business's biggest challenges.

Focus on developing hypotheses through analytical approaches, different methodologies, frameworks, and technical approaches to test them.

Define, understand, and test opportunities to improve the products and business and influence roadmaps through insights and recommendations.

Partner with cross-functional teams to inform, influence, and execute strategy decisions

Identify and measure the success of product efforts through forecasting and monitoring of key product metrics to understand trends.

You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Atlassian.

You will use storytelling techniques to communicate insights broadly, including to company leadership teams.

At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.

Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.

This role may also be eligible for benefits, bonuses, commissions, and equity.

In The United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:

Zone A: $206,100 - $269,075

Zone B: $185,490 - $242,168

Zone C: $171,063 - $223,332

Minimum Qualifications / Your background:

8+ Years of Experience in Data Science or related fields

Proficiency in SQL AND another data manipulation programming language (e.g Python, R)

Expertise at telling stories with data and familiarity with at least one visualization tool (e.g. Tableau, R-Shiny, Microstrategy, SAP Business Objects, Looker, etc.)

Expertise in applying a broad variety of statistical concepts (e.g. regressions, A/B tests, clustering, probability) to business problems and a strong sense of when to adapt/combine approaches to suit the problem at hand

Experience driving projects or programs which have had proven impact on business strategy and performance through your analytics skills

A proven track record for crafting analysis into well-written content

Experience advising, presenting to and serving as a thought partner to senior executives

Desirable Qualifications:

10+ Years of Experience in Data Science or related fields

An understanding of the SaaS business model and key metrics

Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits.

About Atlassian

At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.

We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.

To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.

In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.

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