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Data Science Associate Jobs in Tennessee (NOW HIRING)

Junior Python Developer

Brentwood, TN · On-site

$63K - $82K/yr

... For data Science/Data Analyst/AI/Machine learning Positions Preferred SKILLS Associate or Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering ...

... and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering ... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

AI Solutions Architect

Nashville, TN

$60.75 - $80.25/hr

... Azure Data Scientist Associate, or Microsoft Azure Solutions Architect Expert The wage range for this role takes into account the wide range of factors that are considered in making compensation ...

Stifel strives for a culture that puts its clients and associates first: a culture where everyone ... Bachelor's degree in Information Technology, Computer Science or Business Administration or ...

Why Stifel Stifel strives for a culture that puts its clients and associates first: a culture where ... Bachelor's degree in Information Technology, Computer Science or Business Administration or ...

Why Stifel Stifel strives for a culture that puts its clients and associates first: a culture where ... Bachelor's degree in Information Technology, Computer Science or Business Administration or ...

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Data Science Associate information

See Tennessee salary details

$52.2K

$61.8K

$117.1K

How much do data science associate jobs pay per year?

As of Jul 2, 2026, the average yearly pay for data science associate in Tennessee is $61,753.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,500.00 and $54,000.00 per year, depending on experience, location, and employer.

How does a Data Science Associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

Is 40 too late for data science?

Age is not a barrier to becoming a data science associate; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

Is an Associates in data science worth it?

An associate's degree in data science can provide foundational skills in data analysis, programming, and statistics, which may help entry-level candidates qualify for junior data science roles. However, many employers prefer candidates with a bachelor's degree or higher, and practical experience or certifications in tools like Python, R, or SQL can enhance job prospects. The value depends on career goals and the specific requirements of potential employers.

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

A Data Science Associate with an associate's degree can work as a data analyst, supporting data collection, cleaning, and basic analysis using tools like Excel, SQL, and Python. They often assist in generating reports, visualizations, and insights under supervision, and may pursue certifications to enhance their skills for more advanced roles.

What are Data Science Associates?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

What is the role of an associate data scientist?

An associate data scientist supports data analysis and modeling tasks by cleaning and processing data, developing algorithms, and creating visualizations. They often work under supervision to assist in building predictive models and may use tools like Python, R, or SQL to analyze data and generate insights.

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

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

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

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What are the most commonly searched types of Data Science jobs in Tennessee? The most popular types of Data Science jobs in Tennessee are:
What are popular job titles related to Data Science Associate jobs in Tennessee? For Data Science Associate jobs in Tennessee, the most frequently searched job titles are:
What cities in Tennessee are hiring for Data Science Associate jobs? Cities in Tennessee with the most Data Science Associate job openings:
Faculty Position, Department of Radiology - Pediatric Body Radiology

Faculty Position, Department of Radiology - Pediatric Body Radiology

St. Jude Children's Research Hospital

Memphis, TN • On-site

$285K - $357K/yr

Other

Posted 26 days ago


St. Jude Children's Research Hospital rating

8.4

Company rating: 8.4 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

61st of 1,004 rated hospitals


Job description

SJCRH
Position Overview:
St. Jude Children's Research Hospital invites applications for a full-time faculty position in the Department of Radiology for an ABR-certified or eligible radiologist with subspecialty training in Pediatric, Body, Chest, Abdominal, or Oncologic Radiology. The ideal candidate will be a clinician scientist whose career goals include both outstanding clinical service and innovative data science research that advances the field of pediatric oncologic and catastrophic disease imaging. Academic rank will be commensurate with experience and qualifications.
Our Mission and Vision:
The mission of St. Jude Radiology is to advance cures and understanding of pediatric cancer and catastrophic diseases through excellence in radiology research, innovation, clinical practice, education, and administration. Our vision is to lead the world in radiology for pediatric cancer and catastrophic diseases.
Department Overview:
The department is composed of seven sections: Body Radiology, Neuroradiology, Interventional Radiology, Nuclear Medicine, Intelligent Imaging Informatics (I3), Research, and Physics. The Body Radiology section focuses primarily on pediatric cancer imaging and also serves patients with hematologic, infectious, and rare neurologic diseases. Many of our patients are on clinical trials, providing rich opportunities for collaboration and for developing and validating imaging biomarkers and endpoints.
Clinician Scientists:
Clinician scientists at St. Jude are provided with exceptional support to build and sustain productive academic careers. Faculty on this track receive dedicated research time, typically 50% of their effort, along with full-time research staff (one, two, or three dedicated and permanent staff members for assistant, associate, and full members, respectively). Each clinician scientist is provided with a recurring research cost center (budget) that is renewed annually in perpetuity. In addition, faculty may receive a startup package (e.g., equipment or laboratory purchases) to launch their research lab. These resources are complemented by robust institutional support, including access to biostatistics, image processing, data science, software engineering, and grant-writing expertise. Clinician scientists are expected to obtain extramural funding, and our infrastructure is specifically designed to foster success in this area through mentorship, collaboration, and technical and administrative assistance.
Clinical:
Clinical responsibilities are manageable and designed to complement academic pursuits. The Body Radiology reading room is staffed by two radiologists on weekdays, with light call on evenings and weekends, taken from home and consisting mainly of peer review of teleradiology cases. There is no trauma or emergency room coverage and no intussusception reductions. The section supports a 3D and virtual reality (VR) imaging lab, a tumor metrics (response evaluation) lab, and receives assistance from three physicists who provide expertise across all imaging modalities. Body Radiologists interpret MRI, CT, ultrasound, DEXA, and radiographs, with optional opportunities to participate in cardiac MRI and nuclear imaging. We employ the latest imaging technologies, including four state-of-the-art MRI systems (a fifth planned for 2026) and a photon-counting CT scanner coming online in early 2026. For those with an interest in nuclear medicine, we have a dedicated cyclotron and an extended field-of-view PET/CT scanner, the first installed in a dedicated pediatric hospital in North America.
Artificial Intelligence:
The department is deeply engaged in advancing artificial intelligence (AI) and quantitative imaging to improve both patient care and research. Some clinician scientists are also members of Intelligent Imaging Informatics (I3), an expanding section that harnesses the power of imaging informatics and AI to accelerate research, clinical care, and translational efforts in pediatric radiology, advancing the St. Jude Mission. The Image Quantification and Artificial Intelligence (IQAI) Co-Laboratory is a dedicated research and development team for biomedical informatics and AI. This interdisciplinary team serves the Department of Radiology by building and maintaining the advanced data infrastructure that fuels faculty-led research, performing collaborative projects with clinicians and scientists and conducting core biomedical informatics research. The IQAI team recently developed a Radiology Data Center (RDC) for data science that supports de-identified radiologic and pathology data, electronic medical records, and other institutional datasets.
Research:
Research is at the core of the St. Jude mission, and the Department of Radiology offers an extraordinary ecosystem for investigator-initiated science. Faculty benefit from access to IQAI and the Radiology Data Center for data science and quantitative imaging research, as well as support from dedicated staff for grant writing, IRB management, clinical research coordinators, image processing, and biostatistics. Faculty are encouraged to pursue both independent and collaborative projects that leverage the department's integration with research programs in MRI and multimodal imaging, Molecular Imaging, Oncology, Surgery, Pathology, Data Science, Imaging Sciences, and St. Jude Global. Opportunities exist to develop novel imaging biomarkers and AI tools that impact patient care, clinical trials, population science, and research. In addition to internal institutional funding opportunities, faculty are supported through mentorship and infrastructure aimed at securing extramural grants from agencies such as the NIH, foundations, and industry partners. This environment provides a powerful foundation for faculty to pursue transformative imaging research that directly impacts patient care, clinical trials, and global pediatric initiatives.
Education:
Education is an important component of our mission. Faculty have the opportunity to teach and mentor radiology fellows, radiology residents, medical students, graduate students, and postdoctoral fellows. St. Jude supports professional development by providing travel funds for faculty presentations at national and international conferences. The department hosts an annual international educational conference and a separate scientific symposium. In February 2026, St. Jude will co-host a Pediatric Oncologic Imaging Course with the Society for Pediatric Radiology (SPR). Faculty actively participate in institutional and national educational initiatives.
Compensation and Environment:
St. Jude is an Equal Opportunity Employer. St. Jude does not discriminate on the basis of race, national origin, sex, genetic information, age, religion, disability, sexual orientation, gender identity, transgender status, veteran's status or disabled veteran's status with respect to employment opportunities. All qualified applicants will be considered for employment. We value different perspectives and intellectual discourse. We are committed to building an intellectually diverse community.
Requirements:
Candidates must have an MD, DO or equivalent degree, be board certified or eligible by the American Board of Radiology and have experience in pediatric radiology or oncologic imaging. Applicants must qualify for medical licensure in the State of Tennessee.
To Apply:
Please submit a CV directly online at https://talent.stjude.org/careers:
For more information:
Andrew Smith, MD PhD
Chair of the Department Radiology and Body Radiologist
Endowed Chair of Diagnostic Imaging
St. Jude Children's Research Hospital
andrew.smith@stjude.org
St. Jude is an Equal Opportunity Employer
No Search Firms
St. Jude Children's Research Hospital does not accept unsolicited assistance from search firms for employment opportunities. Please do not call or email. All resumes submitted by search firms to any employee or other representative at St. Jude via email, the internet or in any form and/or method without a valid written search agreement in place and approved by HR will result in no fee being paid in the event the candidate is hired by St. Jude.


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