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Entry Level Data Scientist Machine Learning Jobs in Kentucky

$160 - $200/hr

With experience in data science, machine learning, statistical modeling, and/or deep learning you will bring a passion for problem-solving, turning data into actionable insights, and collaboration ...

$187 - $262/hr

Our Machine Learning and Data Science team is growing. We are looking for a Senior Machine Learning Scientist to help tackle some of the most complex customer experience problems in the travel domain.

$150 - $210/hr

The core of the work is applying machine learning, statistical analysis, and data mining techniques ... Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or a closely related ...

New

$140 - $190/hr

Senior Data Scientist - Applied AI, NLP, and LLM Solutions Note: Fidelity will not provide ... Strong technical foundation in machine learning and statistical modeling, with deeper experience in ...

New

$162 - $185/hr

Principal Associate, Data Scientist - Bank Operations Data Science Data is at the center of ... Build machine learning models through all phases of development, from design through training ...

$129 - $195/hr

... data science methods. Description The ADSP provides entry-level talent with practical work ... Work closely with Machine Learning Engineers and other Software Engineers to lead the design and ...

$110 - $170/hr

Data Scientist As a Data Scientist , you will design, develop, and implement scalable data engineering, machine learning (ML), and analytics solutions that accelerate Clinical Development and advance ...

$120 - $180/hr

As a Senior Data Scientist at the Experian Innovation Lab, your role will be to research and ... Create advanced machine learning analytical solutions to extract insights from diverse structured ...

$140 - $210/hr

Collaborate with software engineers, data scientists, and product teams to integrate AI solutions ... machine learning applications. Job Requirements: Requires a Master's degree in Computational ...

$120 - $160/hr

MS in Data Science, Statistics, Economics, Computer Science, Mathematics, or related applied ... Strong background in applying statistical machine learning techniques to predictive modeling and ...

New

$120 - $180/hr

BT-388- Data Scientist Skill Level- Subject Matter Expert Location: McLean, VA (fully on-site, no ... Demonstrated experience creating machine learning models that conduct text classification and topic ...

Senior Data Scientist (SMTS)

Bellevue, KY · On-site

$148.50 - $223.90/hr

## Senior Data Scientist (SMTS)Applyremote type: Office - Flexiblelocations: Washington - Bellevue ... We leverage AI, machine learning, and contemporary data techniques to advance behavior- and ...

Data Scientist

Louisville, KY · On-site

$98 - $134/hr

We are seeking a Data Scientist 2 who will contribute to Generative AI initiatives at Humana ... Develop and maintain advanced AI/machine learning models and algorithms. Design and implement ...

New

$98 - $134/hr

We are seeking a Data Scientist 2 who will contribute to Generative AI initiatives at Humana ... Develop and maintain advanced AI/machine learning models and algorithms. Design and implement ...

Posted today

We are seeking a Data Scientist 2 who will contribute to Generative AI initiatives at Humana ... Develop and maintain advanced AI/machine learning models and algorithms. * Design and implement ...

New

We are seeking a Data Scientist 2 who will contribute to Generative AI initiatives at Humana ... Develop and maintain advanced AI/machine learning models and algorithms. * Design and implement ...

We are seeking a Data Scientist 2 who will contribute to Generative AI initiatives at Humana ... Develop and maintain advanced AI/machine learning models and algorithms. * Design and implement ...

New

We are seeking a Data Scientist 2 who will contribute to Generative AI initiatives at Humana ... Develop and maintain advanced AI/machine learning models and algorithms. * Design and implement ...

New

$101 - $137/hr

... using Machine Learning, Python, SQL and Azure ML to optimize manufacturing, supply chain, and ... Master's degree in Data Analytics/Science, Computer Science or related field and 24 months of ...

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Entry Level Data Scientist Machine Learning information

What is an entry level data scientist machine learning?

Entry level data scientist machine learning jobs are positions for individuals who are new to the field of data science and machine learning. These roles typically focus on working with data, building and testing machine learning models, and supporting more experienced data scientists. Entry level professionals may clean and analyze data, implement basic algorithms, and help interpret results to inform business decisions. These jobs often require proficiency in programming languages like Python or R, foundational knowledge of statistics, and some experience with machine learning libraries.

What are the key skills and qualifications needed to thrive as an entry level data scientist machine learning?

To thrive as an Entry Level Data Scientist in Machine Learning, you need a solid background in statistics, programming (Python or R), and foundational machine learning concepts, typically supported by a relevant degree in computer science, data science, or a related field. Familiarity with tools and libraries such as scikit-learn, TensorFlow, Pandas, and SQL, as well as experience with data visualization platforms, is highly valuable. Strong problem-solving skills, attention to detail, and the ability to communicate technical findings clearly set candidates apart. These skills are essential for effectively analyzing data, building predictive models, and translating complex results into actionable business insights.

What are some common challenges faced by entry level data scientists working with machine learning models?

Entry-level data scientists often encounter challenges such as cleaning and preparing messy or incomplete datasets, selecting appropriate algorithms for specific problems, and tuning model parameters to achieve optimal performance. In addition, they may need to clearly communicate technical findings to non-technical stakeholders and collaborate closely with team members from engineering, product, and business departments. Gaining experience in version control, reproducibility, and model deployment are also important steps in mastering the end-to-end machine learning workflow.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Kentucky?

The most popular types of Data Scientist Machine Learning jobs in Kentucky are:

What are popular job titles related to Entry Level Data Scientist Machine Learning jobs in Kentucky?

For Entry Level Data Scientist Machine Learning jobs in Kentucky, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Scientist Machine Learning jobs in Kentucky look for?

The top searched job categories for Entry Level Data Scientist Machine Learning jobs in Kentucky are:

What cities in Kentucky are hiring for Entry Level Data Scientist Machine Learning jobs?

Cities in Kentucky with the most Entry Level Data Scientist Machine Learning job openings:

$160 - $200/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago


Job description

What you’ll do

You will be an integral part of a team developing and deploying groundbreaking data-based solutions to complex problems. You’ll collaborate with data science teammates, talented engineers and product experts to produce solutions with direct impact on company performance.

This role will be based in the Bellevue or New York office. Our team follows a hybrid schedule working in-office three days a week and remotely for the rest. This is an exempt position.

Job Description

With experience in data science, machine learning, statistical modeling, and/or deep learning you will bring a passion for problem-solving, turning data into actionable insights, and collaboration with supporting teams. Strong programming skills in Python, SQL, and other data science tools are essential. Communicate technical concepts and findings to both technical/non-technical team members. Collaborate with Engineering and Product teams to understand product requirements and help create optimal/scalable solutions. Help design and implement scalable data science-based solutions, data processing, and machine learning pipelines. Write scalable and clean code.

What you’ll bring

Education in Computer Science, Engineering, Statistics, Mathematics, or a related technical field with 6+ years of overall experience. 2+ years of work experience in creating data science-based solutions. Genuine curiosity and a growth mindset – you actively seek out new techniques, tools, and domains beyond your current role and can point to concrete examples of self-directed learning. Proactiveness and self-motivation – you follow through on tasks without needing close supervision, ask good questions when blocked, and look for ways to contribute beyond your immediate assignment.

Creative problem-solving and analytical skills with experience in statistical analysis and hypothesis testing. Excellent verbal and written communication skills to present complex data findings to technical and non-technical stakeholders. Significant experience with SQL, Python, and machine learning packages (e.g., sklearn, keras). Experience in implementing machine learning pipelines.

What we would like to see

MS/PhD in Computer Science, Engineering, Statistics, Mathematics or a related technical field. MarTech/AdTech experience preferred; expertise with AdTech SSPs is a strong plus. Experience in Neural Networks, Deep Learning, TensorFlow, and/or PyTorch. Experience with Spark/PySpark. Experience with latency-sensitive scalable machine learning models.

In support of pay transparency and equity, the minimum and maximum full-time annual base salary for this role is $160,000 - $200,000 the time of posting, with the potential of an incentive or bonus. While this is our reasonable expectation this is not a guarantee of compensation or salary, actual compensation is influenced by a wide range of factors including but not limited to skill set, level of experience, education, certifications, responsibility, and geographic location. Candidates hired to work in other locations will be subject to the pay range associated with that location. We offer a variety of benefits, including medical, dental, vision, disability insurance, 401(k), EAP, parental leave, unlimited vacation, and company-paid holidays. The specific programs and options available will vary depending on the state, start date, and employment type. Our Talent Acquisition team will be happy to answer any questions you may have.

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