Jobs

Manager, HR - Data Science & Continuous Improvement
Houston, Texas, United States of America
·
On-site
·
Full-time
·
3d ago
Total Number of Openings:
1
Analyzes workforce data to develop strategic insights to enable effective workforce planning and reporting. Evaluates workforce data, organizational staffing levels, current workforce talent, and anticipated talent needs. Recommends workforce operational and strategic changes to align with business needs and strategies.
Manages group and employee work to align with corporate/department objectives. Direct reports are typically M1 managers or professional level employees.
Chevron is accepting online applications for the position Manager, HR - Data Science & Continuous Improvement through04/19/2026 at11:59 p.m.
Central Time Zone.
Responsibilities for this position may include but are not limited to:
The HR Data Scientist & Continuous Improvement Manager partners with HR leaders to identify opportunities, solve workforce challenges, and deliver actionable insights using advanced analytics. The position also leads and prioritizes a portfolio of analytics and data infrastructure initiatives and manages a team of data scientists. This role requires advanced analytics and strong leadership skills.
Key Responsibilities
- Develop scalable data products and repeatable analysis pipelines; improve data
quality, governance, and documentation. - Lead continuous improvement initiatives that streamline HR analytics processes, reduce cycle time, and improve accuracy and stakeholder experience.
- Create clear leader-ready narratives, dashboards, and visualizations that connect insights to business actions and outcomes.
- Manage intake and prioritization of ad-hoc requests and strategic projects; set timelines, allocate resources, and track delivery.
- Coach and develop a team of data scientists
Required Qualifications:
- Bachelor’s degree in data science, Statistics, Mathematics, Computer Science, Economics, Analytics, or a related field.
- Minimum of 7 years of experience in analytics, data science, or quantitative consulting, including delivering insights to senior leaders.
- 3+ years of people leadership experience
- Experience in People Analytics, HR analytics, or workforce planning within a large/complex organization.
- Experience and understanding of Workday
Preferred Qualifications:
- Proficiency in Python for analysis and modeling
Relocation Options:
Relocation is not offered for this role. Only local candidates will be considered.
International Considerations:
Expatriate assignments will not be considered.
Chevron regrets that it is unable to sponsor employment Visas or consider individuals on time-limited Visa status for this position.
U.S. Regulatory notice:
Chevron is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, sex (including pregnancy), sexual orientation, gender identity, gender expression, national origin or ancestry, age, mental or physical disability, medical condition, reproductive health decision-making, military or veteran status, political preference, marital status, citizenship, genetic information or other characteristics protected by applicable law.
We are committed to providing reasonable accommodations for qualified individuals with disabilities. If you need assistance or an accommodation, please email us at emplymnt@chevron.com.
Chevron participates in E-Verify in certain locations as required by law.
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About Chevron

Chevron
PublicChevron Corporation is an American multinational energy corporation predominantly specializing in oil and gas. The second-largest direct descendant of Standard Oil, and originally known as the Standard Oil Company of California, it is active in more than 180 countries.
10,001+
Employees
San Ramon
Headquarters
$182B
Valuation
Reviews
3.8
10 reviews
Work-life balance
3.2
Compensation
4.1
Culture
4.0
Career
3.4
Management
2.8
72%
Recommend to a friend
Pros
Excellent benefits and compensation
Supportive and collaborative colleagues
Good work-life balance
Cons
Bureaucratic processes
Frequent overtime and high pressure
Management lacks clear direction
Salary Ranges
14 data points
L2
L3
L4
L5
L6
L7
Mid/L4
Principal/L7
PSG 20
PSG 21
PSG 22
PSG 23
PSG 24
Senior/L5
Staff/L6
L2 · Data Scientist L2
0 reports
$131,301
total per year
Base
$52,520
Stock
$65,651
Bonus
$13,130
$91,911
$170,691
Interview experience
2 interviews
Difficulty
3.5
/ 5
Duration
14-28 weeks
Offer rate
50%
Interview process
1
Application Review
2
HR Screen
3
Technical Interview
4
Hiring Manager Interview
5
Final Round Interview
6
Offer
Common questions
Technical Knowledge
Behavioral/STAR
Past Experience
Problem Solving
Culture Fit
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