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Tesla Data Scientist Jobs (NOW HIRING)

Formlabs

SLS Materials Scientist

Boston, MA · On-site

$75K - $115K/yr

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... Love to harness data; can design and conduct rigorous experiments to optimize materials * Can work ...

Cogent Security

Research Scientist

San Francisco, CA · On-site

$100K - $300K/yr

Cogent's "AI Taskforce" assesses petabytes of enterprise data to remediate these issues before ... Unicorn, high-growth companies like Scale AI, Databricks, Stripe, Tesla, Coinbase * World class ...

Formlabs

SLS Materials Scientist

Somerville, MA · On-site

$75K - $115K/yr

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... Love to harness data; can design and conduct rigorous experiments to optimize materials * Can work ...

Formlabs

Senior SLS Materials Scientist

Somerville, MA · On-site

$115K - $142K/yr

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... Love to harness data; can design and conduct rigorous experiments to optimize materials * Can work ...

FieldAI

Product QA & Data Engineer

Irvine, CA

Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical discipline ... Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to ...

Formlabs

Senior SLS Materials Scientist

Boston, MA · On-site

$115K - $142K/yr

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... Love to harness data; can design and conduct rigorous experiments to optimize materials * Can work ...

FieldAI

Product QA & Data Engineer

Irvine, CA · On-site

Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical discipline ... Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to ...

BrainCo

AI/ML Engineer

San Francisco, CA · On-site

Built a team of 70+ AI experts from Tesla, Google DeepMind, NVIDIA, and Databricks At Brain Co., we ... Hold a BSc/Master's/PhD degree in Computer Science, Machine Learning, Data Science, or a related ...

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How much do tesla data scientist jobs pay per year?

As of Jul 14, 2026, the average yearly pay for tesla data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Tesla Data Scientist position, and why are they important?

To thrive as a Tesla Data Scientist, you need a strong background in statistical analysis, machine learning, programming (especially Python or R), and a relevant degree such as computer science, statistics, or engineering. Familiarity with big data tools (e.g., Spark, Hadoop), data visualization platforms, and cloud computing services is often required, and certifications in data science or AI can be advantageous. Excellent problem-solving skills, effective communication, and the ability to work collaboratively across technical and non-technical teams are crucial soft skills. These competencies enable you to extract actionable insights from complex datasets, drive innovation, and support Tesla’s data-driven decision-making processes.

What does a typical day look like for a Data Scientist at Tesla?

A typical day for a Data Scientist at Tesla involves analyzing large-scale data sets to uncover trends, developing predictive models to enhance vehicle performance or manufacturing processes, and presenting findings to engineering and leadership teams. You’ll collaborate closely with software engineers, product managers, and other data professionals to design experiments and implement data-driven solutions. Expect to regularly use modern tools and programming languages for data wrangling and modeling, while also participating in team meetings to align on project goals. The fast-paced, innovative environment encourages continuous learning and problem-solving, making every day unique and impactful.

What is a Tesla Data Scientist job?

A Tesla Data Scientist is responsible for analyzing complex datasets to drive data-driven decision-making across various teams such as engineering, manufacturing, and autonomous driving. They develop machine learning models, optimize algorithms, and provide insights that enhance Tesla’s products and operations. The role requires expertise in statistical analysis, programming (Python, SQL, etc.), and big data technologies. Data Scientists at Tesla work on cutting-edge projects, including self-driving technology, energy optimization, and predictive maintenance. Strong problem-solving skills and the ability to work in a fast-paced environment are essential.

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Tesla Data Scientist jobs near you
Research Scientist / Assistant Professor

Research Scientist / Assistant Professor

University of Maryland, Baltimore

Baltimore, MD • On-site

$85K - $110K/yr

Full-time

Medical, Vision, PTO

Re-posted 15 days ago

University Of Maryland, Baltimore rating

7.7

Company rating: 7.7 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

226th of 553 rated colleges and universities

Job description

Job Description
Image-Guided Neurointerventions and CNS Disease Modeling
JOB OVERVIEW
The Department of Diagnostic Radiology and Nuclear Medicine at the University of Maryland School of Medicine invites applications for a full-time research faculty position at the rank of Assistant Professor within the Program on Image-Guided Neurointerventions (PIGN). PIGN is a translational research program focused on the development and optimization of image-guided intra-arterial (IA) drug and cell delivery to the central nervous system, with applications spanning traumatic brain injury, neuro-oncology, and head and neck cancers. The successful candidate will contribute to an active and growing research portfolio supported by federal funding, including VA Merit Awards and NIH grants, and will work closely with program co-directors and a multidisciplinary team of investigators, trainees, and clinical collaborators.
DUTIES AND RESPONSIBILITIES
Preclinical Research and Surgical Procedure
  • Perform advanced microsurgical procedures in rodent models, including catheterization of the carotid and femoral arteries for intra-arterial delivery of drugs, cells, and gene therapy constructs
  • Establish, maintain, and refine mouse models of neurological disease, neuro-oncological conditions (including glioblastoma), and head and neck cancers
  • Conduct cell culture and in vitro assays in support of translational research projects
  • Execute molecular biology assays (PCR, Western blot, flow cytometry, and related techniques) to characterize experimental outcomes

Imaging and Data Analysi
  • Collaborate with imaging scientists to integrate multimodal imaging readouts (MRI, PET, bioluminescence/fluorescence) into preclinical study designs
  • Contribute to the analysis and interpretation of imaging and molecular data

Grant Writing and Scientific Communication
  • Contribute substantively to the preparation of federal grant applications (NIH, VA, DoD) and other extramural funding proposals
  • Prepare and submit peer-reviewed manuscripts and present findings at national and international scientific meetings
  • Assist in the preparation of progress reports, IRB/IACUC protocols, and regulatory documentation

Mentorship and Collaboration
  • Mentor graduate students, postdoctoral fellows, and research assistants in surgical techniques, cell culture, and experimental methodology
  • Collaborate with interdisciplinary teams across radiology, neurology, neurosurgery, and oncology

RESEARCH ENVIRONMENT
The successful candidate will join a highly collaborative and well-resourced research environment. PIGN has access to state-of-the-art small animal imaging infrastructure including a 7 Tesla and 9.4 Tesla Bruker MRI systems with cryoprobe, a Siemens Inveon microPET/CT, an MR-guided focused ultrasound system, and a PerkinElmer IVIS Spectrum for bioluminescence and fluorescence imaging. The program maintains dedicated surgical and cell culture facilities and benefits from close integration with the University of Maryland Medical Center and the VA Maryland Health Care System.
Qualifications
QUALIFICATIONS
Required:
  • Doctoral degree (Ph.D., M.D., or M.D./Ph.D.) in a relevant biomedical discipline
  • Demonstrated expertise in rodent vascular microsurgery, including catheterization of the carotid and/or femoral arteries
  • Hands-on experience with mouse models of neurological or oncological disease
  • Proficiency in cell culture, tissue processing, immunohistochemistry, and core molecular biology techniques
  • Strong written communication skills with a demonstrated record of peer-reviewed publications

Preferred:
  • Experience with intra-arterial delivery of therapeutic agents, including cells, viral vectors, or nanoparticles
  • Track record of successful extramural grant applications as a named investigator or contributor
  • Familiarity with multimodal preclinical imaging platforms (MRI, PET, optical)
  • Experience with GBM or head and neck cancer preclinical models

COMPENSATION AND BENEFITS
Salary and faculty rank are commensurate with qualifications and experience. Salary range $85,000 - $110,000. UMB offers a comprehensive benefits package that includes over four weeks of annual vacation accrual, paid holidays, personal leave, unlimited sick time accrual, and comprehensive health insurance, as well as professional development programs and tuition remission for employees and their dependents at any University System of Maryland institution.
APPLICATION INSTRUCTIONS
Interested candidates should submit a current curriculum vitae, a brief research statement describing prior experience and future interests, and the names of three professional references to:
Piotr Walczak, M.D., Ph.D. Co-Director, Program on Image-Guided Neurointerventions (PIGN) Department of Diagnostic Radiology and Nuclear Medicine University of Maryland School of Medicine
The University of Maryland, Baltimore is an Equal Opportunity, Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law or policy. The Department is committed to building a diverse and inclusive environment; women and members of minority groups are strongly encouraged to apply.

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