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Tesla Data Scientist Jobs (NOW HIRING)

Otter.ai

Data Scientist, Product

Seattle, WA · On-site +1

$155K - $185K/yr

The Opportunity As a Data Scientist at Otter.ai, you will be a key player within our Product ... The company is backed by early investors in Google, DeepMind, Zoom, and Tesla. Otter.ai is an equal ...

Otter.ai

Data Scientist, Product

Mountain View, CA · On-site +1

$155K - $185K/yr

The Opportunity As a Data Scientist at Otter.ai, you will be a key player within our Product ... The company is backed by early investors in Google, DeepMind, Zoom, and Tesla. Otter.ai is an equal ...

Otter.ai

Data Scientist, Product

Mountain View, CA · On-site

$155K - $185K/yr

The Opportunity As a Data Scientist at Otter.ai, you will be a key player within our Product ... The company is backed by early investors in Google, DeepMind, Zoom, and Tesla. Otter.ai is an equal ...

Otter.ai

Data Scientist, Product

Seattle, WA · On-site

$155K - $185K/yr

The Opportunity As a Data Scientist at Otter.ai, you will be a key player within our Product ... The company is backed by early investors in Google, DeepMind, Zoom, and Tesla. Otter.ai is an equal ...

Tesla

Sr. Data Analyst, Machine Learning

Fremont, CA · On-site

$94K - $119K/yr

Tesla is seeking a highly skilled Sr Data Analyst to build and scale predictive analytics and ... Required : • Degree in Data Science, Machine Learning, Statistics, Computer Science, or a related ...

Tesla

Data Engineer, Field Reliability

Fremont, CA · On-site

$125K - $151K/yr

Tesla is looking for a skilled Data Engineer to join their Field Reliability Data Team, focusing on ... Computer Science, Statistics, Informatics, Information Systems, Data Analytics & Engineering), or ...

Tesla

Supply Chain Data Analyst

Palo Alto, CA · On-site

Tesla is a leading company in the automotive and energy sectors, and they are seeking a Supply ... Required : • Degree in quantitative field (e.g., Engineering, Supply Chain, Computer Science ...

Tesla

Software Engineer, Optimus

Palo Alto, CA · On-site

... data acquisition systems, mechanical actuators, PLCs, and Tesla products over CAN, UDS, etc. • ... • Degree in Computer Science, Computer Engineering, Mechanical Engineering, Electrical ...

Tesla

Sr. Software Engineer, Solar Software

Austin, TX

$121K - $160K/yr

... needs of Tesla's rapid manufacturing scale up. This software tracks everycomponentof the ... This platform is the conduit for data coming from the line, and it is part of the goal to have more ...

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All JobsTesla Data Scientist Jobs

Tesla Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do tesla data scientist jobs pay per year?

As of Jun 21, 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 do you need to be a data scientist at Tesla?

To be a data scientist at Tesla, candidates typically need a strong background in statistics, machine learning, and programming languages such as Python or R. Relevant experience with data analysis, data visualization, and familiarity with big data tools like Spark or Hadoop are also important, along with a degree in a related field such as computer science, engineering, or mathematics.

How much do Tesla data scientists make?

Tesla data scientists typically earn an average salary ranging from $100,000 to $150,000 annually, depending on experience, education, and location. They often work with large datasets, machine learning tools, and programming languages like Python or R. Compensation may also include bonuses and stock options based on performance and company policies.

Is it difficult to get hired at Tesla?

Getting hired as a Tesla Data Scientist can be competitive due to the company's high standards and rigorous interview process. Candidates typically need strong technical skills in data analysis, machine learning, and programming, along with relevant experience and a solid educational background. Demonstrating problem-solving ability and familiarity with Tesla's innovative projects can improve chances of selection.

Is 40 too late for data science?

Tesla Data Scientists, like other data science roles, can be pursued at any age, including 40 or older. Success depends on relevant skills such as programming, statistical analysis, and experience with tools like Python or R, rather than age. Many professionals transition into data science later in their careers with proper training and certifications.

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.

More about Tesla Data Scientist jobs
What cities are hiring for Tesla Data Scientist jobs? Cities with the most Tesla Data Scientist job openings:
What are the most commonly searched types of Tesla Data Scientist jobs? The most popular types of Tesla Data Scientist jobs are:
What states have the most Tesla Data Scientist jobs? States with the most job openings for Tesla Data Scientist jobs include:
What job categories do people searching Tesla Data Scientist jobs look for? The top searched job categories for Tesla Data Scientist jobs are:
Tesla Data Scientist jobs near you
Infographic showing various Tesla Data Scientist job openings in the United States as of June 2026, with employment types broken down into 5% As Needed, 1% Full Time, 92% Part Time, and 2% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Scientist, Product

Data Scientist, Product

Otter.ai

Seattle, WA • On-site, Remote

$155K - $185K/yr

Other

Posted 8 days ago

Job description

 

The Opportunity

As a Data Scientist at Otter.ai, you will be a key player within our Product Development organization. You will leverage your advanced data analytics skills and deep understanding of our products and market to drive strategic decision-making, optimize engagement and monetization strategies, and accelerate product adoption. Your work will significantly enhance customer experiences and contribute to our business success.
If you are passionate about using data to drive business growth and want to be part of a team shaping the future of conversations, we invite you to apply and help us achieve our mission of making conversations more valuable.
Your Impact

  • Collaborate with Product teams to understand business objectives and challenges, translating them into data-driven insights and recommendations.
  • Develop and implement predictive models, analytical tools, and methodologies to analyze product usage and customer behaviors.
  • Analyze large datasets to generate actionable insights that guide the development and optimization of engagement and monetization strategies.
  • Design and Execute experiments to test hypotheses and measure the effectiveness of various features, product experiences and strategies.
  • Partner with cross-functional teams, including Product Management and Engineering, to integrate data-driven insights into our products and services, driving continuous improvement and innovation.
  • Present findings and recommendations to key stakeholders, including executives, to inform strategic decision-making and shape the company's Product roadmaps.
  • Collaborate with Data Engineers to ensure data quality, accessibility, and reliability for analysis purposes.
  • Stay current with industry trends, emerging technologies, and best practices in data science, machine learning, and AI to drive innovation and competitiveness.
We're Looking for Someone Who
  • Has 3+ years as a Data Scientist in a software technology or AI-driven company.
  • Holds proficiency in SQL for querying large datasets, and expertise in Python and R for data manipulation, analysis, and visualization.
  • Has a strong background in data analysis, statistical modeling, and other data science techniques.
  • Is familiar with B2B SaaS business models.
  • Has an excellent ability to translate complex findings into actionable insights for non-technical stakeholders.
  • Showcases proven ability to work effectively in cross-functional teams and manage multiple projects simultaneously.
  • Is a strong problem solver and has the ability to thrive in a fast-paced, dynamic start-up environment.

About Otter.ai 

We are in the business of shaping the future of work. Our mission is to make conversations more valuable. With over 1B meetings transcribed, Otter.ai is the world's leading tool for meeting transcription, summarization, and collaboration. Using artificial intelligence, Otter generates real-time automated meeting notes, summaries, and other insights from in-person and virtual meetings - turning meetings into accessible, collaborative, and actionable data that can be shared across teams and organizations. The company is backed by early investors in Google, DeepMind, Zoom, and Tesla.

Otter.ai is an equal opportunity employer. We proudly celebrate diversity and are committed to building an inclusive and accessible workplace. We provide reasonable accommodations for qualified applicants throughout the hiring process. 

Accessibility & Accommodations 

Otter.ai is committed to providing reasonable accommodations for candidates with disabilities in our hiring process.  If you need assistance or an accommodation during any stage of the recruitment process, please contact hr@otter.ai at least 3 business days before your interview.

*Otter.ai does not accept unsolicited resumes from 3rd party recruitment agencies without a written agreement in place for permanent placements. Any resume or other candidate information submitted outside of established candidate submission guidelines (including through our website or via email to any Otter.ai employee) and without a written agreement otherwise will be deemed to be our sole property, and no fee will be paid should we hire the candidate.

Salary range

Salary Range: $155,000 to $185,000 USD per year.

This salary range represents the low and high end of the estimated salary range for this position. The actual base salary offered for the role is dependent based on several factors. Our base salary is just one component of our comprehensive total rewards package.
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