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Senior Data Science Mentor Jobs (NOW HIRING)

Venture Global, Inc.

Senior Data Scientist

Arlington, VA · On-site

$180K - $230K/yr

... science lifecycle and best practices, and contribute to strategic discussions. The measures of an ideal candidate include communication skills, technical proficiency, collaboration, mentorship ...

Home Depot

Senior Data Scientist, Online

Atlanta, GA · On-site

Based on the specific data science team, this role would need to be Proficient in one or more data ... Provide mentoring and coaching to more junior roles to support their technical competencies;

Addison Group

Sr. Data Scientist

Chicago, IL · Remote

$85 - $100/hr

Senior Data Scientist Remote/Onsite : Remote Contract Pay: $85/hr - $100/hr The Senior Data ... Mentor junior data scientists by providing technical guidance, reviewing work, and fostering their ...

TriNet Group, Inc.

Senior Data Scientist

Atlanta, GA · On-site

The senior data scientist will mentor team members to cultivate the skills and knowledge necessary to contribute to business needs and create a data driven culture. This role will prepare and deliver ...

Data Intelligence LLC

Senior Data Architect

Clarksburg, WV · Remote

$66 - $88.25/hr

Clarksburg, WV More about this job > Description Data Intelligence, LLC is seeking a highly experienced Senior Data Architect - Data Science & Integration Support to support one of our federal law ...

GRVTY

Senior Data Scientist

Saint Louis, MO · On-site

Working directly with intelligence professionals, you will apply data science techniques to solve ... Experience mentoring junior data scientists or leading technical modernization initiatives.

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Senior Data Science Mentor information

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$80.3K

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How much do senior data science mentor jobs pay per year?

As of Sep 11, 2026, the average yearly pay for senior data science mentor in the United States is $80,287.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,500.00 and $103,000.00 per year, depending on experience, location, and employer.

What does a senior data science mentor do?

A Senior Data Science Mentor provides guidance and support to individuals or teams learning data science concepts and techniques. They help mentees develop practical skills in areas such as machine learning, statistical analysis, data visualization, and programming. In addition to technical coaching, they often assist with career development, portfolio building, and navigating challenges in real-world data science projects. Senior mentors draw on their extensive industry experience to offer insights, best practices, and feedback tailored to each mentee's goals.

What are the key skills and qualifications needed to thrive as a senior data science mentor?

To thrive as a Senior Data Science Mentor, you need deep expertise in data science methodologies, strong programming skills (often in Python or R), and advanced knowledge of statistics and machine learning, typically supported by a relevant degree and significant industry experience. Familiarity with tools like Jupyter Notebooks, cloud platforms (such as AWS or Azure), and version control systems is commonly required, alongside experience with online learning platforms. Excellent communication, patience, and the ability to inspire and guide learners are standout soft skills in this role. These skills are crucial to effectively translate complex concepts, foster learner progress, and help shape the next generation of data science professionals.

How does a senior data science mentor typically balance mentoring responsibilities with staying current on industry trends and technologies?

As a Senior Data Science Mentor, you’ll spend a significant portion of your time guiding and supporting less-experienced data scientists, reviewing their work, and providing feedback. To remain effective in this role, mentors often allocate dedicated time each week to participate in professional development, such as attending webinars, reading research papers, or experimenting with new tools. Balancing these responsibilities requires strong time management and a proactive approach to continuous learning, ensuring you can both support your mentees and stay up-to-date with the latest industry advancements.

What cities are hiring for Senior Data Science Mentor jobs?

Cities with the most Senior Data Science Mentor job openings:

What are the most commonly searched types of Data Science Mentor jobs?

The most popular types of Data Science Mentor jobs are:

What states have the most Senior Data Science Mentor jobs?

States with the most job openings for Senior Data Science Mentor jobs include:

Senior Data Science Mentor jobs near you
Infographic showing various Senior Data Science Mentor job openings in the United States as of June 2026, with employment types broken down into 95% Full Time, 4% Part Time, and 1% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $80,287 per year, or $38.6 per hour.

Senior Data Scientist

Arlington, VA • On-site

Venture Global, Inc.
See more jobs at Venture Global, Inc.external

$180K - $230K/yr

Full-time

Posted 25 days ago

Job description

Venture Global LNG ("Venture Global") is a long-term, low-cost provider of American-produced liquefied natural gas. The company's Louisiana-based export projects service the global demand for North American natural gas and support the long-term development of clean and reliable North American energy supplies. Using reliable, proven technology in an innovative plant design configuration, Venture Global's modular, mid-scale plant design will replace traditional designs as it allows for the same efficiency and operational reliability at significantly lower capital cost.
We are seeking qualified applicants for the position:
Senior Data Scientist
Located:
Arlington
Summary
The Senior Data Scientist is responsible for developing and maintaining data analytics solutions and machine learning algorithms. As a senior role, the expectations are to mentor junior data scientists, further develop the data science lifecycle and best practices, and contribute to strategic discussions. The measures of an ideal candidate include communication skills, technical proficiency, collaboration, mentorship, strategic-thinking, and willingness to learn new things. This new position will be based in our Arlington, VA headquarters and report to the Director of Business Intelligence. This position is structured within IT under the Vice President of Applications.
The position will be located in Arlington, VA.
General Description Duties & Responsibilities
  • Develop solutions to business problems using the data science life cycle.
  • Develop and maintain data analytics solutions and machine learning algorithms
  • Develop comprehensive project plans for implementing data science projects including solution architectures, resourcing, and dependencies.
  • Use predictive modeling and classification techniques to improve LNG production efficiency and mitigate safety or downtime risks.
  • Mine and analyze data from a data lake or data warehouse to drive optimization.
  • Work with stakeholders to identify opportunities to leverage data science to drive business solutions.
  • Understand where key decisions are needed and communicate options for solving business problems with stakeholders.
  • Provide ETL requirements to data engineers to effectively curate files for data analytics.
  • Document data science algorithms for maintainability.
  • Work with IT leadership to further define the data science life cycle and enhance the data science technology stack and architecture.
  • Design data architecture for future platform growth including data warehousing, machine learning, streaming analytics, and data visualization.
  • Assist in testing, governance, data quality, training, and documentation efforts.
  • Mentor junior data scientists and data analysts.
  • Actively engage in business stakeholder requirement workshops to understand, interpret, and translate requirements into effective technical solutions.

Qualifications
Required experience
  • 5+ Years of practical data science/data analytics experience.
  • Bachelor's degree in Computer Science, Data Analytics, Engineering, Mathematics, Business, or related field of study.
  • Knowledge in cloud data analytics solutions, managing, developing, and maintaining machine learning solutions.
  • Fundamental skills in data processing languages such as SQL, Python, or Scala.
  • Knowledge in building data science solutions using cloud data services.
  • Ability to self-manage and make your own decisions.
  • Strong presentation skills to effectively communicate results of analytics to stakeholders.
  • Strong documentations skills.
  • Excellent interpersonal and communications skills, with strong critical thinking and attention to detail.
  • Strong work ethic with ability to effectively prioritize, meet deadlines, adapt to changing priorities and business needs, and succeed in a fast-paced environment.
  • Excellent attention to detail and the ability to efficiently summarize and prioritize information.

Preferred Experience
  • Experience with Azure infrastructure especially Azure Data Lake and Azure Data Factory.
  • Experience using Databricks for machine learning algorithm development
  • Experience in coding languages primarily PySpark, Python,and SQL.
  • Experience in agile development and sprint planning.
  • Experience utilizing DevOps
  • Experience working with streaming datasets/IoT.
  • Strong technical writing skills.

Salary Range
$180,000 - $230,000
Venture Global LNG is an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law.

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