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Associate Data Science Analyst Jobs in Kentucky (NOW HIRING)

Xometry

Senior Data Scientist, Costing

Lexington, KY · On-site

Responsibilities: * Use data science and machine learning principles to develop effective ... Use data analysis and visualization tools (examples include SQL, Python, Jupyter Notebooks, and ...

Bluelight Consulting

$94K - $113K/yr

Working closely with data scientists, analysts, and other stakeholders to deliver high-quality data for insights and decision-making, this position is ideal for a passionate software development ...

Bluelight Consulting

$94K - $113K/yr

Working closely with data scientists, analysts, and other stakeholders to deliver high-quality data for insights and decision-making, this position is ideal for a passionate software development ...

University of Kentucky

Implementation Scientist

Lexington, KY · On-site

$58K - $59K/yr

... Associate, or Full Professor for tenure track, Regular Title Series, full time (12-month) positions in the Markey Cancer Center and the Department of Behavioral Science in the College of Medicine at ...

OneSix - External

Senior Data Scientist

Canada, KY · On-site +1

$140K - $180K/yr

With the recent acquisition of Strong Analytics, an ML and AI consultancy, OneSix is a uniquely ... Senior Data Scientist OneSix is looking for a Senior Data Scientist to build and deploy cutting ...

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Associate Data Science Analyst information

What is the difference between Associate Data Science Analyst vs Data Analyst?

AspectAssociate Data Science AnalystData Analyst
Required CredentialsBachelor's degree in data-related field; some roles prefer certifications in data analysis or programmingBachelor's degree in statistics, mathematics, or related field; certifications like Microsoft Excel or SQL are common
Work EnvironmentCollaborates with data scientists and engineers; involved in data modeling and analysis tasksFocuses on data collection, cleaning, and reporting; often works with business teams
Employer & Industry UsageUsed in tech, finance, healthcare industries; entry-level role in data teamsWidely used across industries for business insights and reporting

The Associate Data Science Analyst and Data Analyst roles share similarities in educational background and industry usage. However, the Associate Data Science Analyst typically involves more technical tasks like data modeling and working closely with data science teams, whereas Data Analysts focus more on data reporting and business insights. Both roles serve as entry points into data careers but differ in technical depth and collaboration scope.

What types of projects and datasets do Associate Data Science Analysts typically work with, and how do they contribute to larger team goals?

Associate Data Science Analysts often work on projects involving data cleaning, exploratory analysis, and basic model development using real-world datasets such as sales figures, customer behavior logs, or operational metrics. Their primary responsibility is to prepare, analyze, and visualize data to uncover insights that support business decisions. They collaborate closely with more senior data scientists, business analysts, and stakeholders to ensure that their analyses align with organizational objectives. This role provides valuable exposure to the end-to-end data science workflow and lays the foundation for advancement into more specialized or senior data science positions.

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

To thrive as an Associate Data Science Analyst, you need a solid grounding in statistics, data analysis, and programming languages such as Python or R, typically supported by a degree in a quantitative field. Familiarity with data visualization tools like Tableau, SQL databases, and potentially foundational certifications in data analytics are commonly required. Strong problem-solving, critical thinking, and effective communication skills help analysts interpret data insights and convey findings to stakeholders. These competencies are crucial for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

What does an Associate Data Science Analyst do?

An Associate Data Science Analyst is an entry-level professional who assists in collecting, analyzing, and interpreting data to help organizations make data-driven decisions. They work closely with senior data scientists and analysts, using statistical tools and programming languages like Python or R to process data, create reports, and visualize results. Their responsibilities often include cleaning and organizing data sets, performing exploratory data analysis, and supporting the development of predictive models. This role is a great way to gain hands-on experience in data science while building foundational skills for more advanced positions.
What are the most commonly searched types of Data Science Analyst jobs in Kentucky? The most popular types of Data Science Analyst jobs in Kentucky are:
What cities in Kentucky are hiring for Associate Data Science Analyst jobs? Cities in Kentucky with the most Associate Data Science Analyst job openings:
Associate Data Science Analyst jobs near you
Senior Data Scientist, Cost Prediction

Senior Data Scientist, Cost Prediction

Xometry

Lexington, KY • Hybrid

Other

Posted 21 days ago

Job description

Xometry is adding a Senior Data Scientist to our cost prediction team. The ideal candidate will have a passion for using machine learning tools and techniques to construct, optimize, and evaluate predictive models that predict the likelihood of different business outcomes. Additionally, this person will use their knowledge of probability and statistics to make defensible statistical inferences from data. 

Responsibilities:

  • Use data science and machine learning principles to develop effective predictive models using 3D data
  • Write software to prepare, clean, and sample data for use in developing predictive models
  • Use cloud resources (e.g., Amazon Web Services) to prepare and process data
  • Query and extract data from databases (Snowflake and MongoDB)
  • Use data analysis and visualization tools (examples include SQL, Python, Jupyter Notebooks, and Looker) to inform the business strategy
  • Relentlessly iterate solutions within a fast-paced environment where ambiguity is the norm
  • Solve challenging, uncharted problems
  • Work in an environment that thrives on teamwork and continuous learning opportunities

Requirements:

  • Bachelor's degree required; degree in applied math, computer science, natural sciences or engineering preferred
  • M.S. or PhD in a related field highly desired
  • 5+ years of experience with machine learning, statistical modeling, and optimization techniques
  • 2+ years of experience in 3D deep learning; Mesh, Volumetric, and/or Point Clouds
  • Fluent in Python (pandas, numpy, SciPy, and scikit-learn preferred)
  • Proficient in linear algebra and statistics
  • Familiar with scientific software principals, e.g. versioning systems, reproducibility, code deployment
  • Experience in the manufacturing industry is desired
  • Must be a US Citizen or Green Card holder (ITAR) 

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About Xometry

Sourced by ZipRecruiter

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.

Industry

Software development

Company size

501 - 1,000 Employees

Headquarters location

Gaithersburg, MD, US

Year founded

2013

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