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Applied Data Scientist
Ken Garff Auto Group
Salt Lake City, UT
Ken Garff Automotive Group is looking for a passionate, curious, humble, and hungry Applied Data Scientist to join and help grow Ken Garff's ...
Pay not listed Apply Now
Sr. Data Scientist
BambooHR
Salt Lake City, UT
This is a remote position available in the state listed on this job. Additionally, employment with BambooHR is contingent on passing both a b...
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Data Scientist — AI/Analytics for Healthcare
RLDatix
Lehi, UT
A healthcare technology company is seeking a Data Scientist to join their AI/Analytics team in Lehi, UT. This role involves developing machin...
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Sr Data Scientist, Analytics- Hybrid
Vivint
Lehi, UT
Welcome to the intersection of energy and home services. At NRG, we’re driven by our passion to create a smarter, cleaner and more connected ...
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Senior Graph Data Scientist – Identity Analytics
USAA
Tampa, FL
Why USAA? The Opportunity We offer a flexible work environment that requires an individual to be in the office 4 days per week. This positio...
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Data Scientist (NLP)
VirtualVocations
Amarillo, TX (+1 other)
A company is looking for a Data Scientist (NLP) to support federal client engagement projects. Key Responsibilities Pre-process data sets fo...
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Senior Data Scientist
Deloitte
Seattle, WA
Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Scientist, ...
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Senior Data Scientist
Deloitte LLP
Alabama
Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Scientist, ...
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Data Scientist
Deloitte
Washington, DC
Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Scientist, ...
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Data Scientist (NLP)
VirtualVocations
Boise, ID (+1 other)
A company is looking for a Data Scientist (NLP) to support federal client engagement projects. Key Responsibilities Pre-process data sets fo...
Pay not listed Apply Now
Applied Data Scientist

Ken Garff Automotive Group is looking for a passionate, curious, humble, and hungry Applied Data Scientist to join and help grow Ken Garff's Data, Analytics, and AI capabilities. Ken Garff...

Pay not listed Apply Now

Ken Garff Automotive Group is looking for a passionate, curious, humble, and hungry Applied Data Scientist to join and help grow Ken Garff's Data, Analytics, and AI capabilities. Ken Garff truly lives the motto of "We hear you"; this motto applies to all we do within our corporate and regional teams.

Position Overview
  • The Applied Data Scientist will start their role ensuring data is "AI-Ready". They will ensure clean, relevant, reliable, consistent, and scalable measures are defined and tracked in our holistic data model. Ensure input signal is trustworthy so developed models are not constrained by data quality. They will develop analytical models and data-driven insights that support strategic decision-making and operational improvements. This role analyzes large datasets, builds predictive models, and designs experiments that help the organization better understand customer behavior, operational trends, and business performance. The Applied Data Scientist collaborates with data engineers and the AI team to ensure models are built on reliable data and can be integrated into AI-enabled solutions. The ideal candidate combines strong statistical and machine learning expertise with the ability to translate complex analytical findings into clear insights that drive business outcomes.
Key Responsibilities
  • Coordinates with the business to ensure definitional alignment prior to any analytics.
  • Ensure data is "AI-Ready" - Clean, Relevant, Reliable, Consistent, Scalable
  • Develop predictive models and analytics solutions to support business decision-making.
  • Conduct exploratory data analysis to identify trends, patterns, and opportunities for improvement.
  • Design and implement statistical models, forecasting systems, and recommendation algorithms.
  • Evaluate the performance and accuracy of AI and machine learning systems.
  • Partner with business stakeholders to define analytical questions and interpret results.
  • Design experiments and A/B tests to evaluate AI-driven initiatives.
  • Work with data engineering teams to ensure data quality and accessibility.
  • Support the development of AI applications by providing modeling expertise and evaluation frameworks.
  • Communicate analytical findings and insights to technical and non-technical audiences.
  • Maintain documentation and reproducibility of analytical models and experiments.
Qualifications
  • To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed here are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Applicants must be 18 years or older and be authorized to work in the U.S., have a valid driver license and professional appearance.
Other Required Attributes
  • Attitude - Demonstrate a positive "can do" attitude; show curiosity and eagerness to learn; be coachable; be "solution-minded" rather than "problem-minded."
  • Work Ethic - Dependable, responsible, detail-oriented, and willing to put in the effort to learn new skills and technologies.
  • Oral Communication - Communicate clearly with team members; listen actively; ask thoughtful questions; respond well to feedback.
  • Written Communication - Write clearly and informatively; able to document technical work and explain concepts at a basic level.
  • Professionalism - Approach others with respect and humility; accept responsibility for learning and improvement; follow through on commitments.
Knowledge, Skills, and Abilities
  • Strong foundation in statistics, machine learning, and data analysis.
  • Proficiency in Python and common data science libraries such as pandas, scikit-learn, and NumPy.
  • Experience working with SQL and large-scale datasets.
  • Familiarity with machine learning model development and evaluation techniques.
  • Knowledge of experimental design and causal inference methods.
  • Experience building predictive models such as classification, regression, forecasting, or recommendation systems.
  • Ability to translate complex data findings into actionable business insights.
  • Experience using data visualization tools and communicating results effectively.
  • Familiarity with cloud-based analytics environments and data platforms.
  • Strong problem-solving and analytical thinking skills.
  • Ability to explain Statsmodels to a non-mathematical audience.
Required Education and Experience
  • Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field required; Master's degree preferred.
  • 4-7 years of experience in data science, analytics, or machine learning roles.
  • Experience building predictive models, statistical analyses, or machine learning solutions using real-world business datasets.
  • Strong experience working with Python and common data science libraries such as pandas, scikit-learn, and NumPy.
  • Experience working with SQL and large-scale data platforms.
  • Experience applying statistical methods such as regression analysis, forecasting, and experimentation.
  • Experience collaborating with engineering teams to operationalize models or analytics workflows is preferred.
  • Ability to communicate analytical insights clearly to technical and non-technical stakeholders.
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