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Senior Python Data Analysis Jobs in Kentucky (NOW HIRING)

Xometry

Senior Data Scientist, Costing

Lexington, KY · Hybrid

Xometry is seeking a Senior Data Scientist to our sourcing team. The ideal candidate will have a ... Use data analysis and visualization tools (examples include SQL, Python, Jupyter Notebooks, and ...

Xometry

Senior Data Scientist, Costing

Lexington, KY · On-site

Xometry is seeking a Senior Data Scientist to our sourcing team. The ideal candidate will have a ... Use data analysis and visualization tools (examples include SQL, Python, Jupyter Notebooks, and ...

RelaDyne

Senior Data Analyst (SQL / SAP)

Hebron, KY · On-site

$82K - $104K/yr

Senior Data Analyst Location: Hebron, KY (Onsite) About RelaDyne RelaDyne is the nation's leading ... data analysis, SQL development, or data engineering * Advanced SQL skills (complex queries ...

Athari

Data Scientist

Lexington, KY · Hybrid

$75 - $100/hr

Must Have Data/Reporting Data Analysis 5 years R, Python, SQL, and Machine Language Algorithms and Data Analysis. 5 years Degree Level Bachelor's Degree Yes Experience Currently holds a Secret ...

BrightSpring

Senior Data Modeler

Louisville, KY · Remote

Our Company BrightSpring Health Services Overview We are seeking a highly skilled Senior Data ... or Python optimization to maximize query speed and dataset availability for analytics and ...

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 ... Strong Python and SQL skills, production-code instincts, and Git fluency; R or C++ a plus

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Senior Python Data Analysis information

What are the key skills and qualifications needed to thrive as a Senior Python Data Analyst, and why are they important?

To thrive as a Senior Python Data Analyst, you need an in-depth understanding of data analysis, statistical modeling, and advanced Python programming, typically supported by a degree in a quantitative field. Proficiency with data analysis libraries (like pandas, NumPy, and SciPy), visualization tools (such as Matplotlib and Seaborn), and experience with SQL databases are essential, and certifications like Microsoft Certified: Data Analyst Associate can be beneficial. Strong problem-solving abilities, effective communication, and the capacity to distill complex data insights for stakeholders are critical soft skills. These competencies enable you to extract actionable insights from large datasets, drive data-informed decision-making, and collaborate effectively across teams.

What is the difference between Senior Python Data Analysis vs Data Scientist?

AspectSenior Python Data AnalysisData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentData analysis teams, business unitsResearch, product development, analytics teams
Industry UsageBusiness intelligence, finance, marketingTech, healthcare, finance, research
CertificationsPython certifications, data analysis coursesData science certifications, machine learning courses

While both roles involve Python and data handling, Senior Python Data Analysts focus on interpreting data and creating reports for business decisions, whereas Data Scientists develop predictive models and advanced algorithms to extract deeper insights. The roles often overlap, but Data Scientists typically require broader skills in machine learning and statistical modeling.

What are some common challenges Senior Python Data Analysts face when working with large datasets, and how can they overcome them?

Senior Python Data Analysts often encounter difficulties such as slow processing speeds, memory limitations, and data quality issues when handling large datasets. To overcome these challenges, it's essential to leverage efficient libraries like pandas and Dask, utilize optimized data formats (such as Parquet), and implement batch processing or cloud-based solutions. Collaborating closely with data engineers and IT teams also helps ensure robust data pipelines and infrastructure. Regular code optimization and staying updated on best practices can further enhance performance when working at scale.

What is a Senior Python Data Analyst?

A Senior Python Data Analyst is an experienced professional who uses Python programming to collect, process, and analyze large sets of data. They are responsible for extracting meaningful insights from data to support business decisions, often using libraries like pandas, NumPy, and matplotlib. In addition to technical skills, they also apply statistical analysis and data visualization techniques, and frequently mentor junior analysts or collaborate with data scientists and engineers. Their role may also involve developing automated data pipelines and ensuring data quality across projects.
What are the most commonly searched types of Python Data Analysis jobs in Kentucky? The most popular types of Python Data Analysis jobs in Kentucky are:
What are popular job titles related to Senior Python Data Analysis jobs in Kentucky? For Senior Python Data Analysis jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Senior Python Data Analysis jobs in Kentucky look for? The top searched job categories for Senior Python Data Analysis jobs in Kentucky are:
Senior Python Data Analysis jobs near you
Senior Data Scientist, Costing

Senior Data Scientist, Costing

Xometry

Lexington, KY • Hybrid

Other

Re-posted 18 days ago

Job description

Xometry is seeking a Senior Data Scientist to our sourcing 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
  • 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)
  • 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

Qualifications:

  • Bachelor's degree required; degree in applied math, computer science, natural sciences or engineering preferred
  • M.S. or Ph.D. in a related field highly desired
  • 5+ years of experience with machine learning, statistical modeling, and optimization techniques
  • 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
  • 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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