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Remote Data Science R Jobs in Kentucky (NOW HIRING)

Toloka

Our remote-first team is globally distributed around the world: USA , UK , the Netherlands , Serbia ... Bachelor's or Master's degree in Data Science, ML/AI, Software Engineering, or a related ...

Fetcherr

Director of Client Success

Louisville, KY · On-site +1

Coordinate with internal teams (Product, Program, Tech, Support, and Data Science) to ensure ... Flexible work options, including remote opportunities. * A collaborative and inclusive workplace ...

C-Plan.IT

VP Engineering and R&D - AI Startup

Louisville, KY · On-site +1

$172K - $221K/yr

Privately funded, we are a fully remote company with a 100% distributed team allowing us to hire ... Experience managing a team of data scientists and AI researchers and engineers using Agile ...

C-Plan.IT

VP Engineering and R&D - AI Startup

Louisville, KY · Remote

$172K - $221K/yr

Privately funded, we are a fully remote company with a 100% distributed team allowing us to hire ... Experience managing a team of data scientists and AI researchers and engineers using Agile ...

micro1 AI

Domain Expert - (STEM PhD)

Louisville, KY · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Analyze data and interpret results to inform AI training datasets with precision * Apply ...

Syneoshealth

Senior Research Associate

Canada, KY · On-site +1

Life Sciences Location: US or Canada (Hybrid/Remote) Position Overview The Research Associate ... Summarize and synthesize complex clinical and outcomes data into clear, structured findings.

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Remote Data Science R information

What is the difference between Remote Data Science R vs Remote Data Analyst?

AspectRemote Data Science RRemote Data Analyst
Required SkillsStatistical analysis, R programming, data modeling, machine learningData visualization, basic statistical analysis, Excel, SQL
CertificationsR certifications, data science certificates, possibly advanced degreesData analysis certifications, Excel, SQL courses
Work EnvironmentCollaborative teams, research projects, data science platformsReporting, dashboards, business insights
Industry UsageTech, finance, healthcare, research institutionsMarketing, retail, finance, operations

Remote Data Science R roles focus on advanced statistical modeling and machine learning using R, often requiring specialized certifications and working on complex data projects. Remote Data Analysts typically handle data reporting, visualization, and basic analysis to support business decisions. While both roles involve data handling, Data Science R positions demand deeper technical expertise and programming skills.

What are Remote Data Science R jobs?

Remote Data Science R jobs are positions that involve using the R programming language to analyze and interpret data, build statistical models, and generate insights, all while working from a remote location. These roles typically require strong skills in data manipulation, visualization, and statistical analysis using R. Professionals in these positions may work for companies in various industries, collaborating with teams online and leveraging cloud-based tools. Remote Data Science R jobs offer flexibility, allowing individuals to work from home or anywhere with a reliable internet connection.

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

To thrive as a Remote Data Scientist, you need strong analytical skills, expertise in statistics, programming (Python or R), and typically a degree in data science, computer science, or a related field. Familiarity with data analysis tools, machine learning frameworks (like TensorFlow or scikit-learn), and cloud platforms (such as AWS or Google Cloud) is commonly required. Outstanding problem-solving, self-motivation, and effective virtual communication skills help you excel in remote environments. These abilities are essential for deriving actionable insights from data and collaborating efficiently across distributed teams.

How do remote Data Science R professionals typically collaborate with cross-functional teams while working from different locations?

Remote Data Science R professionals often use a combination of communication platforms (like Slack, Microsoft Teams, or Zoom) and project management tools (such as Jira or Trello) to stay connected with colleagues in engineering, product management, and business analysis. Sharing code and models through version control systems (like Git) and documenting workflows in shared repositories helps maintain transparency and collaboration. Regular virtual meetings and presentations are crucial for aligning goals, discussing progress, and receiving feedback. This collaborative approach ensures that data-driven insights effectively support organizational objectives, even in a distributed work environment.
What are popular job titles related to Remote Data Science R jobs in Kentucky? For Remote Data Science R jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Remote Data Science R jobs in Kentucky look for? The top searched job categories for Remote Data Science R jobs in Kentucky are:
What cities in Kentucky are hiring for Remote Data Science R jobs? Cities in Kentucky with the most Remote Data Science R job openings:
Remote Data Science R jobs near you

Freelance Technical Consultant

Toloka

Remote

Other

Posted 9 days ago

Job description

Company Intro

At Toloka AI we create data that powers leading GenAI models and innovations. We work with frontier labs, big tech, renowned AI startups, enterprises and non-profit research organizations worldwide. We use a combination of Experts + Crowd + Tech Platform to teach AI models to reason and evaluate their efficacy and safety. We have experts in more than 50 different domains-from doctors and lawyers to physicists and engineers-and boast one of the most diverse global crowds, representing over 100 countries and speaking 40+ languages. We are a well-funded startup with an enviable portfolio of clients including Anthropic, Amazon, Microsoft, Poolside, Recraft,  and Shopify.

Recently, we secured strategic investment led by Bezos Expeditions and Nebius Group with participation from Mikhail Parakhin, CTO of Shopify  and board advisor to leading GenAI companies, who now serves as our Chairman of the Board. Our remote-first team is globally distributed around the world: USA, UK, the Netherlands,  Serbia, and more. 

About the Role

Technical consultants play a key role in our company, ensuring top-level delivery of our product, its correct configuration, and the deployment of tailored AI data solutions that meet our customers' needs and deliver an exceptional experience working with us.
As part of this role, you will not only design and implement data labeling pipelines but also act as a trusted technical advisor for our customers - helping them understand their data needs, discover new opportunities, and build scalable AI solutions.
We are looking for a person with more than 3 years of solid technical background, who feels comfortable working in technical environments, solving data-related tasks using Python and AI, and communicating directly with customers. You should be a confident communicator able to engage with both technical and executive stakeholders and collaborate closely with our commercial team.

Responsibilities1. Client Ownership & Communication
  • Act as the primary technical point of contact for customers across technical and executive stakeholders.
  • Lead discovery conversations to deeply understand client goals, problems and quality criteria.
  • Translate client needs into clear, actionable solution designs and delivery plans.
  • Advise customers on best practices in data collection, data quality, evaluation, and model training workflows.
  • Set expectations proactively, communicate progress regularly, and manage risks and trade-offs transparently.
  • Identify expansion opportunities and additional ways Toloka can create value through data and AI solutions.
2. Solution Design & Delivery
  • Design end-to-end data solutions using Toloka's platform, selecting appropriate components, workflows, and quality controls.
  • Configure data labeling components and quality controls, develop user interfaces and AI-driven tooling (e.g. agentic systems, RAGs, synthetic data generation), and integrate them into end-to-end automated pipelines for AI training and evaluation.
  • Run experiments and pilots to validate quality, throughput, and cost assumptions.
  • Lead technical execution during delivery, coordinating internal teams and external stakeholders as needed.
  • Ensure solutions meet agreed quality, performance, and scalability requirements.
3. End-to-End Ownership & Project Management
  • Own delivery outcomes holistically - including technical performance, quality, timelines, and financial efficiency.
  • Monitor key KPIs (e.g. throughput, quality metrics, Gross Margin, Contribution Margin) and act on deviations.
  • Prioritize work based on customer impact and business value.
  • Analyze data to identify failure modes, inefficiencies, and opportunities for improvement.
  • Continuously optimize solutions through iteration, automation, and adoption of new technologies.
  • Troubleshoot delivery, process, or technical issues in collaboration with support, infrastructure, and product teams.
  • Drive solutions toward stable operation with minimal ongoing maintenance.
RequirementsCore Experience
  • Experience as a Solution Engineer, Technical Solutions Engineer, Data Scientist, Data/Systems Analyst, or Technical Project Manager.
  • Proven experience owning projects end-to-end, including scoping, delivery, and stakeholder management.
  • Direct experience working with external customers on technical projects (requirements gathering, delivery, iteration).
Technical Skills
  • Strong Python skills for data manipulation (e.g. NumPy, pandas), natural language processing (e.g. NLTK, spaCy), and building lightweight web services or tools (e.g. FastAPI, Flask).
  • Solid understanding of ML concepts and data workflows; familiarity with LLMs and prompt engineering is a strong plus.
  • Experience designing multi-stage pipelines and complex systems.
  • Understanding of software development fundamentals: version control, testing, MVPs, iterative development etc..
  • Bachelor's or Master's degree in Data Science, ML/AI, Software Engineering, or a related quantitative field such as Physics or Applied Mathematics, with strong analytical foundations.
  • Ability to reason about trade-offs between quality, speed, cost, and scalability.
Communication & Ownership
  • Excellent English communication skills (B2+), with the ability to explain complex technical concepts to non-technical audiences.
  • Confidence working with data engineers, ML engineers, and researchers from leading tech companies.
  • Strong ownership mindset: comfortable being accountable for outcomes, not just tasks.
  • Ability to manage multiple projects in fast-paced, ambiguous environments.
Nice to have
  • Experience with crowdsourcing, expert workflows, or large-scale data labeling.
  • Experience working on ML training, evaluation, or agentic systems.
  • Familiarity with quality frameworks, audits, or data validation pipelines.


[Important Notice] Scam Alert Regarding Fake Job Postings

It has come to our attention that an individual or group is fraudulently impersonating Toloka to post fake jobs and solicit personal information from applicants.Please be aware:

  • Official Communication: Our recruiting team will only contact you from an official "toloka.ai" email address. We will NEVER use Gmail, Yahoo, Tolokainc, toloka.inc,  or other personal or seemingly business email accounts.
  • Our Process: We will never ask for your bank account details, credit card number, or any fees as part of the application or interview process.
  • Official Listings: All legitimate job openings are posted on our official careers page: https://toloka.ai/careers#job-list
What to do: If you see a suspicious job posting or have been contacted by someone you suspect is a scammer, please do not provide any personal information. Instead, report the incident to us directly at security@toloka.ai and report the profile/post to LinkedIn.We are taking this matter very seriously and are working with the appropriate parties to resolve it.
Thank you for your vigilance!

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