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Associate Data Science Analyst Jobs in Kentucky (NOW HIRING)

$95 - $130/hr

This role will focus on building advanced analytics solutions utilizing data science, AI and ML solutions and technology, building the intelligence that powers our core data products. The Data ...

$138 - $193/hr

Data Science III - Marketing Analytics Expedia Group | Seattle About This Role At Expedia Group, we are passionate about using data and analytics to create an amazing travel experience and bring the ...

Posted today

$95 - $130/hr

This role will focus on building advanced analytics solutions utilizing data science, AI and ML solutions and technology, building the intelligence that powers our core data products. The Data ...

Posted today

$90 - $120/hr

If you are passionate about applying data science and AI to solve real business problems, thrive in ... Conduct exploratory data analysis (EDA) to uncover trends, patterns, and anomalies that inform ...

$247 - $290/hr

Lead, mentor, and scale a team of data scientists and analytics engineers working across product and ML domains * Partner closely with Crypto product, engineering, finance, and research teams to ...

$185 - $215/hr

What you have: * 6+ years of experience doing data science (modeling + analysis) * Advanced degree in data science, statistics, computer science, or related field. * Proven expertise in machine ...

$95 - $135/hr

... science, and application specific knowledge. Through analytic modeling, statistical analysis ... Associates degree with 5 years of relevant experience * Bachelor's?Degree must be in Mathematics ...

$140 - $190/hr

Develop best practices for data science, considering the full analytical lifecycle. * Ensure the ... We are proud of our diverse and inclusive workplace where we respect and value our associates for ...

New

$180 - $200/hr

This role sits at the intersection of investing, data science, artificial intelligence, and product development. The successful candidate will work alongside deal teams to develop analytical ...

$140 - $190/hr

Five or more years of experience in data analytics related work. *PhD in Computer Science, Electrical Engineering, Statistics, Mathematics, business analytics = 2 years of experience credit.

New

$102 - $179/hr

In this role, you will develop automated analytics products and advanced data science solutions that address complex business and client questions and improve clinical, operational, and economic ...

New

$160 - $200/hr

You'll collaborate with data science teammates, talented engineers and product experts to produce ... Creative problem-solving and analytical skills with experience in statistical analysis and ...

$195 - $260/hr

Minimum of 5+ years of professional experience in data science, advanced analytics, or machine learning engineering. Programming Languages: High proficiency in Python and R for data manipulation and ...

$110 - $170/hr

Collect business requirements / user stories for new or enhancements to existing analytic solutions * Train users in the use of solutions provided by the CfDA Data Science organization * Contribute ...

$140 - $200/hr

Plus, we are among the fastest growing AI businesses, and our team is at the bleeding edge of AI-enabled data science. What You'll Do Own causal inference and experimentation Design and analyze ...

$100 - $130/hr

Work embedded with a product or data team on project-defined scope, partnering with engineers, analysts, PMs, and subject-matter experts. * Take on other ML and data-science projects as Candid ...

New

$85 - $130/hr

Have three or more years of experience in a data science or analytics-related role.* Have expertise with R, Python, SQL, or other programming languages to merge, clean, and model large and complex ...

$122 - $195/hr

... our Data Science and Artificial Intelligence (DSAI) Research team. This role will support and ... Design and analyze molecular and sequence libraries using statistical design of experiments ...

New

$122 - $195/hr

... our Data Science and Artificial Intelligence (DSAI) Research team. This role will support and ... Design and analyze molecular and sequence libraries using statistical design of experiments ...

New

$190 - $220/hr

Position Summary Join our dynamic Investment Data Science Team as a Data Scientist and immerse ... Responsibilities Deep dive into data analytics for thorough investment due diligence, balancing ...

Showing results 41-60

Associate Data Science Analyst information

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 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 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 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 can I do with an associate data science analyst's degree in data science?

An associate data science analyst's degree prepares individuals for entry-level roles such as data analyst, data technician, or business intelligence assistant. These roles involve collecting, cleaning, and analyzing data using tools like Excel, SQL, and basic programming languages such as Python or R. The degree provides foundational skills for working in data-driven environments and can lead to further specialization or advancement in data science careers.

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:

$95 - $130/hr

Other

Posted 5 days ago


Skechers rating

6.5

Company rating: 6.5 out of 10

Based on 175 frontline employees who took The Breakroom Quiz

40th of 62 rated fashion and textile manufacturers


Job description

## Data ScientistApplylocations: Manhattan Beach, CAtime type: Full timeposted on: Posted Todayjob requisition id: JR131647Job Description WHO WE ARE: Headquartered in Southern California, Skechers—the Comfort Technology Company—has spent over 30 years helping men, women, and kids everywhere look and feel good. Comfort innovation is at the core of everything we do, driving the development of stylish, high-quality products at a great value. From our diverse footwear collections to our expanding range of apparel and accessories, Skechers is a complete lifestyle brand. ABOUT THE ROLE: The Data Scientist will join our Data and Analytics team, reporting to Sr. Director, BI and Reporting. This role will focus on building advanced analytics solutions utilizing data science, AI and ML solutions and technology, building the intelligence that powers our core data products. The Data Scientist will be a hybrid professional who combines deep statistical rigor with an engineering first mindset, with a mission to translate complex business challenges into an end-to-end machine learning solution that can thrive in production. They will build, test and document new or improved data science applications and machine learning techniques, develop innovative analytic reports, maintain best practices for change management and collaborate with business leads, data stewards and power users to creatively solve real-life business problems utilizing large-scale data supporting all areas of our business.**WHAT YOU’LL DO:*** End to end ML development: Evaluate, implement, and improve machine learning techniques to solve real world problems and aid business decision making.* Contribute extensively to the full model development lifecycle, from ideation, analysis, model creation and operation.* Leverage large language models (LLMs) and RAG (retrieval augmented generation) frameworks to enhance data product reach and automate internal workflows.* Write production-grade, clean, maintainable, and scalable code for running experiments and proofs-of-concept. Collaborate with Data Engineers to build robust data pipelines and deploy models.* Monitor model drift and bias in production, ensuring our AI solutions remain ethical, accurate and high performing over time.* Lead Experimental Design, A/B testing and causal inference projects to measure the direct impact of product changes and model performance.* Translate model outputs into actionable business strategies for non-technical leadership, utilizing storytelling as a vehicle to make analytics & insight deliverables accessible and memorable.* Perform ad hoc analysis to uncover business insights and opportunities, exploring data to discover patterns, meaningful relationships, anomalies, and trends across different formats and platforms.* Employ quick prototyping to gather feedback and adjust to user asks in an agile fashion.* Follow best practices to build scalable enterprise BI and analytics solutions, ensuring data and reports are thoroughly tested before production release.* Document objectives and solutions in summary as well as technical details.* Collaborate with data and BI engineers, data product managers and business users to explore and create solutions for relevant business problems.**WHAT YOU’LL BRING:*** Proficiency with programming and data analysis using Python, Spark, and ML frameworks (NumPy, Pandas, Sci-kit Learn, XGBoost, TensorFlow, PyTorch).* Strong mathematical foundation in statistics, probability, optimization algorithms, linear algebra and AI technologies.* Working knowledge of statistical and machine learning techniques including classification, regression, clustering, and multivariate methods.* Expertise with relational data modeling and advanced SQL for data manipulation and performance optimization.* Experience working in an Agile/SCRUM environment* Strong problem-solving, analytical, and communication skills (written, verbal, and interpersonal).* Strong organizational skills, attention to detail, and ability to prioritize workload.* Professional presence with ability to take initiative, be creative, curious, and collaborative in a flexible, team-oriented environment.* Ability to independently conduct in-depth data analysis.**REQUIREMENTS:*** Bachelor's/Master's/Ph.D. in quantitative field (Computer Science, Statistics, Mathematics, Physics) or equivalent industry experience.* 3+ years in a professional data science role with proven track record of moving models from research to production* 5+ years experience in professional data science role with advanced analytics applications preferred.* Strong communication and presentation skills – ability to articulate technical challenges and solutions to diverse audiences.* Familiarity with retail, supply chain, digital & financial analysis, predictive analytics, and BI visualization toolsets.* Experience with DSML Automation platforms and MLOps tools.* Experience with Data Engineering/Cloud tools (Snowflake, BigQuery, AWS SageMaker), GenAI tools (Hugging Face, LangChain, LlamaIndex, OpenAI/Gemini APIs), and cloud-based BI and Analytics technologies.* Ability to work with minimal oversight while ensuring timely, accurate task completion.Pay range for this position is $95.000 – $130,000/year USD.**About Skechers**Skechers, a global Fortune 500 company, develops and markets a diverse range of lifestyle and performance footwear, apparel, and accessories. Serving over 180 countries and territories, Skechers connects customers to products through department and specialty stores, e-commerce and digital stores, and through our more than 5,300 Skechers retail locations.**Equal Employment Opportunity** Skechers is committed to providing a safe, inclusive, and respectful work environment. Skechers provides equal employment opportunities for all employees and applicants for employment without regard race, color, religion, gender, gender identification and expression, national origin, marital status, age, disability, genetic information, military status, sexual orientation, or any other protected characteristic established by local, state or federal law.**Reasonable Accommodation** Applicants for employment who require a reasonable accommodation to apply for a job should request appropriate accommodation by emailing benefits@skechers.com. To perform this job successfully, an individual must be able to perform each job responsibility satisfactorily. The skills, abilities and physical demands described are representative of those duties that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities, who are otherwise qualified for the job position, to perform the essential functions. #J-18808-Ljbffr

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