Sr Data Platform Engineer
Data scientist job in Elk Grove, CA
Hybrid role 3X a week in office in Elk Grove, CA; no remote capabilities
This is a direct hire opportunity.
We're seeking a seasoned Senior Data Platform Engineer to design, build, and optimize scalable data solutions that power analytics, reporting, and AI/ML initiatives. This full‑time role is hands‑on, working with architects, analysts, and business stakeholders to ensure data systems are reliable, secure, and high‑performing.
Responsibilites:
Build and maintain robust data pipelines (structured, semi‑structured, unstructured).
Implement ETL workflows with Spark, Delta Lake, and cloud‑native tools.
Support big data platforms (Databricks, Snowflake, GCP) in production.
Troubleshoot and optimize SQL queries, Spark jobs, and workloads.
Ensure governance, security, and compliance across data systems.
Integrate workflows into CI/CD pipelines with Git, Jenkins, Terraform.
Collaborate cross‑functionally to translate business needs into technical solutions.
Qualifications:
7+ years in data engineering with production pipeline experience.
Expertise in Spark ecosystem, Databricks, Snowflake, GCP.
Strong skills in PySpark, Python, SQL.
Experience with RAG systems, semantic search, and LLM integration.
Familiarity with Kafka, Pub/Sub, vector databases.
Proven ability to optimize ETL jobs and troubleshoot production issues.
Agile team experience and excellent communication skills.
Certifications in Databricks, Snowflake, GCP, or Azure.
Exposure to Airflow, BI tools (Power BI, Looker Studio).
Data Modeler
Data scientist job in Sacramento, CA
We are seeking a senior, hands-on Data Analyst /Data Modeler with strong communication skills for a long-term hybrid assignment with our Sacramento, California-based client. This position requires you to be able to work on-site in Sacramento, California, on Mondays and Wednesdays each week. Candidates must currently live within 60 miles of Sacramento, CA.
Requirements:
Senior, hands-on data model with strong communication skills.
Expert-level command of ER/STUDIO Data Architect modeling application
Strong ability to articulate data modeling principles and gather requirements from non-technical business stakeholders
Excellent presentation skills to different (business and technical) audiences ranging from senior level leadership to operational staff with no supervision
Ability to translate business and functional requirements into technical requirements for technical team members.
Candidate needs to be able to demonstrate direct hands-on recent practical experience in the areas identified with specific examples.
Qualifications:
Mandatory:
Minimum of ten (10) years demonstrable experience in the data management space, with at least 5 years specializing in database design and at least 5 years in data modeling.
Minimum of five (5) years of experience as a data analyst or in other quantitative analysis or related disciplines, such as a researcher or data engineer, supportive of key duties/responsibilities identified above.
Minimum of five (5) years of demonstrated experience with ER/Studio data modeling application
Minimum of five (5) years of relevant experience in relational data modeling and dimensional data modeling, statistical analysis, and machine learning, supportive of key duties/responsibilities identified above.
Excellent communication and collaboration skills to work effectively with stakeholders and team members.
At least 2 years of experience working on Star, Snowflake, and/or Hybrid schemas
Oracle/ODI/OCI/ADW experience required
Desired:
At least 2 years of experience working on Oracle Autonomous Data Warehouse (ADW), specifically installed in an OCI environment.
Expert-level Kimball Dimensional Data Modeling experience
Expert-level experience developing in Oracle SQL Developer or ER/Studio Data Architect for Oracle.
Ability to develop and perform Extract, Transform, and Load (ETL) activities using Oracle tools and PL/SQL with at least 2 years of experience. Ability to perform technical leadership of an Oracle data warehouse team, including but not limited to ETL, requirements solicitation, DBA, data warehouse administration, and data analysis on a hands-on basis.
Data Engineer
Data scientist job in Sacramento, CA
Role Under limited general direction, develops and maintains data lake repository, data warehouse, and data mapping infrastructure with the ultimate goal to make data accessible so that the organization can use it to evaluate and optimize their performance. Demonstrated expertise designing, developing and maintaining scalable data pipelines and ETL processes to support enterprise data needs.
This is a hybrid position, with three days per week in-office and the rest remote.
Essential Responsibilities
* Creates and maintains optimal data pipeline architecture.
* Assembles large, complex data sets that meet functional / non-functional business requirements.
* Performs unit testing and mock data generation.
* Uses relational data best practices, including referential integrity and query optimization (Oracle, MySQL, SQL Server).
* Participates in agile software planning and development activities, including daily standups, user story and task organization and grooming activities, and effort estimation.
* Analyzes business and technical requirements to develop documentation, designs, code, and tests.
* Maintains source control hygiene (branch protection, git-flow).
* CI/CD includes build, test, and automated deployment (like Jenkins, Travis, and DevOps).
* Other duties as assigned.
Qualifications
* 5+ years of experience in a data engineer role.
* Significant experience working with relational database technologies such as Oracle & SQL Server.
* Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL), as well as working familiarity with a variety of databases.
* Outstanding analytical, quantitative, problem-solving, and programming skills.
* Demonstrated expertise designing, developing and maintaining scalable data pipelines and ETL processes to support enterprise data needs.
* Full-stack development experience.
* Willingness to jump in, learn new tech, and work effectively across full stack.
* Experience reviewing and executing plans and performance tuning.
* Experience working with common languages and frameworks such as C# or Java.
* In-depth understanding of modern application design principles, DevOps & Microservices.
* Relevant certifications from cloud provides (e.g., AWS Certified Data Analytics, Azure Data Engineering, etc.).
* Strong written and verbal communication skills, including ability to convey proposed solutions through natural language, diagrams, and design patterns.
* Ability to work both independently and collaboratively.
* High school diploma or GED required.
* Bachelor's degree preferred.
Recology Offers
* An ecologically innovative company that finds and mentors people committed to protecting the environment and sustaining our communities.
* The largest employee-owned resource recovery company in the industry with terrific benefits to help you prosper.
* A creative and caring culture that values community, diversity, altruism, accountability, collaboration, and learning by doing.
* An inspired company mission driven to use and return resources to their best and highest use through the practice of the 4R's: Reduce, Re-use, Recycle, and Recologize.
* Distinct professional challenges to connect with, care for, and grow community that sees a world without waste.
Recology Benefits May Include
* Paid time off and paid holidays.
* Health and wellness benefits including medical, dental, and vision.
* Retirement plans (Employee Stock Ownership Plan, 401(k) with match).
* Annual wellness incentives.
* Employee Assistance Program (EAP).
* Educational assistance.
* Commuting benefits.
* Employee referral program.
Supplemental Information
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this job; and pursuant to applicable law, we will consider for employment qualified applicants with criminal records. It is important that you provide accurate information on the job application, inaccurate information may cause delays in the processing of your application and/or may disqualify you as a candidate.
Recology is an equal opportunity employer committed to supporting an inclusive work environment where employees are valued, heard, and provided development opportunities. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, citizenship, disability, protected veteran status, or any other basis that is prohibited by law.
This description is not intended and should not be construed to be an exhaustive list of all responsibilities, skills, effort, work conditions, and benefits associated with the job.
Data Scientist, NLP
Data scientist job in Sacramento, CA
Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care.
By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare.
We are looking for a motivated Data Scientist to help Datavant revolutionize the healthcare industry with AI. This is a critical role where the right candidate will have the ability to work on a wide range of problems in the healthcare industry with an unparalleled amount of data.
You'll join a team focused on deep medical document understanding, extracting meaning, intent, and structure from unstructured medical and administrative records. Our mission is to build intelligent systems that can reliably interpret complex, messy, and high-stakes healthcare documentation at scale.
This role is a unique blend of applied machine learning, NLP, and product thinking. You'll collaborate closely with cross-functional teams to:
+ Design and develop models to extract entities, detect intents, and understand document structure
+ Tackle challenges like long-context reasoning, layout-aware NLP, and ambiguous inputs
+ Evaluate model performance where ground truth is partial, uncertain, or evolving
+ Shape the roadmap and success metrics for replacing legacy document processing systems with smarter, scalable solutions
We operate in a high-trust, high-ownership environment where experimentation and shipping value quickly are key. If you're excited by building systems that make healthcare data more usable, accurate, and safe, please reach out.
**Qualifications**
+ 3+ years of experience with data science and machine learning in an industry setting, particularly in designing and building NLP models.
+ Proficiency with Python
+ Experience with the latest in language models (transformers, LLMs, etc.)
+ Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc.
+ Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow
+ Industry experience shepherding ML/AI projects from ideation to delivery
+ Demonstrated ability to influence company KPIs with AI
+ Demonstrated ability to navigate ambiguity
**Bonus Experience**
+ Experience with document layout analysis (using vision, NLP, or both).
+ Experience with Spark/PySpark
+ Experience with Databricks
+ Experience in the healthcare industry
**Responsibilities**
+ Play a key role in the success of our products by developing models for document understanding tasks.
+ Perform error analysis, data cleaning, and other related tasks to improve models.
+ Collaborate with your team by making recommendations for the development roadmap of a capability.
+ Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines.
+ Understand product use-cases and define key performance metrics for models according to business requirements.
+ Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.).
**After 3 Months, You Will...**
+ Have a strong grasp of technologies upon which our platform is built.
+ Be fully integrated into ongoing model development efforts with your team.
**After 1 Year, You Will...**
+ Be independent in reading literature and doing research to develop models for new and existing products.
+ Have ownership over models internally, communicating with product managers, customer success managers, and engineers to make the model and the encompassing product succeed.
+ Be a subject matter expert on Datavant's models and a source from which other teams can seek information and recommendations.
\#LI-BC1
We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status.
At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services.
The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job.
The estimated total cash compensation range for this role is:
$136,000-$170,000 USD
To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion.
This job is not eligible for employment sponsorship.
Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay.
At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way.
Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . Requests for reasonable accommodations will be reviewed on a case-by-case basis.
For more information about how we collect and use your data, please review our Privacy Policy (**************************************** .
Data Scientist, Product Analytics
Data scientist job in Sacramento, CA
As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
**Required Skills:**
Data Scientist, Product Analytics Responsibilities:
1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses
3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
**Minimum Qualifications:**
Minimum Qualifications:
6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
7. A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.)
8. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience
9. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
**Preferred Qualifications:**
Preferred Qualifications:
10. Master's or Ph.D. Degree in a quantitative field
**Public Compensation:**
$173,000/year to $242,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
Senior Data Scientist
Data scientist job in Sacramento, CA
***************** is planning to bring a million developers and a billion users onchain. We need your help to make that happen. At Base, we live by ourhttps://x.com/jessepollak/status/***********32673997, where our team rises to the challenge, embraces hard weeks, and makes small to significant personal tradeoffs when necessary to drive impact and innovation.
Data Science is an integral component of Coinbase's product and decision making process: we work in partnership with Product, Engineering and Design to influence the roadmap and better understand our users. With a deep expertise in experimentation, analytics and advanced modeling, we produce insights which directly move the company's bottom line.
*What you'll be doing:*
* Conduct analysis and deep dives on ambiguous problems for our business. Your work will result in insights and recommendations that guide the team's decision making.
* Act as owner for a broad scope of data and metrics, from core logging to presentation of data visualizations.
* Guide code reviews, provide SQL and Python expertise, and create well-maintained ETL jobs.
* Maintain a high bar for statistical rigor on your team. Ensure that we're conducting experimentation and causal analyses that build confidence with your stakeholders.
*What we look for in you:*
* A BA/BS in a quantitative field (ex Math, Stats, Physics, or Computer Science) with ≥5+ years of relevant experience or a PhD in a quantitative field with with ≥3+ years of relevant experience
* Demonstrated experience in driving impactful data science projects that tackle ambiguous problem spaces.
* Ability to influence external stakeholders by synthesizing data learnings into compelling stories.
* Practical expertise in applying complex modeling frameworks to practical business problems.
* Professional experience using SQL and Python.
* Experience working with digital products in an iterative development cycle.
* Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution.
Disclaimer: Applying for a specific role does not guarantee consideration for that exact position. Leveling and team matching are assessed throughout the interview process.
ID: G2462
*Pay Transparency Notice:* Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include bonus eligibility + equity eligibility**+ benefits (including medical, dental, vision and 401(k)).
Pay Range:
$180,370-$212,200 USD
Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying.
Commitment to Equal Opportunity
Coinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the *********************************************** in certain locations, as required by law.
Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations***********************************
Global Data Privacy Notice for Job Candidates and Applicants
Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available ****************************************************************
AI Disclosure
For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description.
For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate.
*The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment*. To request a reasonable accommodation due to disability, please contact accommodations[at]coinbase.com.
Senior Data Scientist
Data scientist job in Sacramento, CA
**This role is based remotely but if you live within a 50-mile radius of an office [Atlanta, Austin, Detroit, Warren, or Mountain View], you are expected to report to that location three times a week, at minimum** . **The Role** The Senior Data Scientist is an internal expert on methodology and practice of marketing analytics. This individual has deep technical expertise in Media Mix Modeling (MMM), with hands-on experience developing custom econometrics and statistical models that quantify media impacts and optimize market investment. The Data Scientist has expertise in the economics of media channels (e.g., Linear/Addressable TV, Online Display, Paid Search, Social), measurement of ROAS lift, coordination of media tactics (sequencing/ frequency caps), and insourcing of off-the-shelf MMM solutions.
This person will work closely with GM brand stakeholders to ensure business acceptance of proposed methods, objective performance evaluation, and effective media activation that drives sales. This person will be responsible for developing Media Mix Models, drawing insights, and creating scalable products that identify channel and tactic level high return on investment.
Fully qualified individual contributor who has knowledge and understanding of all aspects of a function and exercises independent discretion and judgment on significant matters based on professional knowledge. Level most professionals can expect to achieve in their career.
EXPERTISE
+ Recognized as a fully qualified, experienced professional. Has complete knowledge and full understanding of own area and broad knowledge of related areas.
+ Takes broad challenges and, through independent professionally developed analysis, identifies and analyses options, and breaks them down into initiatives capable of implementation. Identifies opportunities and proposes solutions to improve internal processes, services, and structures to support functional strategies.
+ Uses advanced analytical and problem-solving techniques to resolve a wide range of non-standard problems.
+ Works independently; receives minimal guidance. Acts as a resource for colleagues with less experience.
COMPLEXITY
+ Identifies and devises solutions based on limited information and precedent. Uses evaluation and judgement to solve problems that are new to the organization and require a deep level of experience and strategic thought to create a solution.
+ Enhances relationships and networks with senior internal/external partners who are not familiar with subject matter and often require persuasion. Uses data and analysis to demonstrate the value of a project, anticipating, and addressing objections and or concerns.
+ Often effects change in broader functional area without direct exercise of command, using persuasion in situations where reaching agreement may be hindered by differing opinions, past practices, or experiences.
SCOPE AND IMPACT
+ Challenges and problems are of a diverse scope with multiple moving parts, where developing a plan and viewing the whole picture is a significant challenge itself. Work is done independently and is reviewed at critical points.
+ Owns the development and delivery of solutions, driving cross team and group efforts. Leads by example, taking responsibility for their own actions, acknowledging mistakes, and holding themselves accountable for achieving goals. Addresses and evaluates a diverse range of issues using innovative methods and proposing alternative approaches.
+ Serves as a mentor to more junior level employees, providing coaching and guidance on difficult issues.
+ Has significant operational impact across their function.
**What You'll Do**
+ Work on a cross-functional team to propose and implement high-impact, data-driven solutions to address business challenges across a variety of business units
+ Apply advanced data-driven modeling techniques to inform decision making and solve complex business problems:
+ Create breakthrough solutions, performing exploratory and targeted data analyses
+ Undertake preprocessing of structured and unstructured data
+ Monitor and sustain model effectiveness
+ Present complex information using data visualization techniques
+ Work with diverse technical teams and provide data and analytical oversight to ensure project deliverables fulfill business needs and timing
+ Identify long-term technical innovations while continuously improving execution efficiency
+ Possessing contextual business knowledge and functional domain expertise in the advertising and media space, showing a proven ability of using data, analytics, and insights to add revenue and business-impacting value in this via audience selection and behavioral engagement.
+ Deep knowledge of marketing media modeling techniques, including MMM, MTA, unified attribution, ROAS level testing, and various industry measurement media platforms.
+ Exhibiting a perspective of constrained curiosity, asking why, and suggesting experimentation to drive incremental impact.
+ Exhibiting the ability to tell a succinct, data-driven story in any forum and tailor delivery to a wide range of stakeholder levels, from analyst to senior executive.
+ Ensuring a superior level of delivery quality at all levels of their organization through the creation of internal structures and extensible frameworks to manage accountability and develop staff.
**Your Skills & Abilities (Required Qualifications)**
+ Minimum five years of experience developing, deploying, and monitoring performance of media mix or related models
+ Proficient writing Python/R (modeling) and SQL/Spark (data), working with PYMC, StatsModels, Spark/ML, sklearn, numpy and related packages
+ Desired expertise media mix modeling (MMM), multi-touch attribution (MTA), consumer choice (multinomial logit), time-series forecasting, hierarchical bayes, panel-data methods (fixed/random effects), censored/truncated regressions, selection models, non-random treatment effects, item response theory, latent class regression
+ Prior experience with paid, earned, and owned media
+ Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality
**What Can Give You a Competitive Advantage (Preferred Qualifications)**
+ Advanced degree (M.A./Ph.D. preferred) in Marketing Data Science, Econometrics, Operations Research, Psychometrics, Finance, (Bio) Statistics, or another quantitative field
This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.
Compensation:
+ The expected base compensation for this role is: $130,800 - $211,200. Actual base compensation within the identified range will vary based on factors relevant to the position.
+ **Bonus Potential:** An incentive pay program offers payouts based on company performance, job level, and individual performance.
+ **Benefits** : GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)
\#LI-CC1
**About GM**
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
**Why Join Us**
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
**Benefits Overview**
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources (************************************************************* .
**Non-Discrimination and Equal Employment Opportunities (U.S.)**
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire (********************************************* .
**Accommodations**
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email (Careers.Accommodations@GM.com) us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about:
**Our Company (**************************************************
**Our Culture**
**How we hire (************************************************
Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility.
Explore our global locations (********************************************
We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) (*********************************************** . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more.
Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest.
The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
Educator Preparation Data Scientist
Data scientist job in Sacramento, CA
Responsibilities Under the general direction of the Director, Educator Quality Center, the Educator Preparation Data Scientist will perform duties as outlined below: Data Systems Project Management * Design, develop, and manage systems and processes for collecting, extracting, loading, and integrating high-priority credential program and student data into the EdQ operational data store.
* Lead the development of dashboards and reporting tools that support CSU educator preparation programs.
* Collaborate with a wide range of stakeholders-including campus and Chancellor's Office staff, internal IT and IR&A teams, and external partners such as state and national education agencies, funding organizations, consultants, and vendors-to ensure data systems meet strategic and operational needs.
Strategic Data Analysis
* Conduct strategic data analyses to generate valid and reliable evidence that supports continuous improvement in CSU educator preparation programs and addresses California's educator workforce needs.
* Translate analytical findings into actionable insights and communicate them clearly through data visualizations, storytelling, and presentations tailored to non-technical audiences.
* Evaluate the impact of key initiatives using quantitative evidence and support data-informed decision-making across the CSU system.
Support Effective Use of Data
* Develop and refine systems and processes that improve the quality, consistency, and usability of existing educator preparation metrics administered by EdQ.
* Define and monitor key performance indicators (KPIs) in collaboration with educator preparation faculty and practitioners to reflect their goals and values.
* Promote the standardization and adoption of shared data tools, software platforms, and protocols across CSU educator preparation programs.
Qualifications
This position requires:
* Demonstrated interest in improving educational outcomes, particularly in educator preparation.
* Master's degree or higher in a technical, computational, or quantitative field (e.g., Data Science, Statistics, Computer Science, Economics, Educational Measurement, or related discipline).
* A minimum of four years of professional experience, including at least one year of hands-on experience in data science, analytics, or applied research.
* Proven ability to deliver data products, tools, or original research-preferably in an educational or public-sector context, using large or complex datasets.
* Strong quantitative skills, including experience with statistical methods used in education research.
* Proficiency with one or more statistical software tools or programming languages (e.g., R, Python, Stata).
* Working knowledge of SQL, relational databases, and data visualization tools (e.g., Tableau, Power BI).
* Experience with data mining, exploration, and visualization techniques.
* Familiarity with data systems design, development, and management.
* Strong project management skills and ability to work collaboratively with cross-functional teams.
* Experience administering surveys using platforms such as Qualtrics, SurveyMonkey, or QuestionPro.
* Experience working with sensitive or confidential data in a secure computing environment.
Preferred Qualifications
* Experience with ETL (Extract, Transform, Load) processes and data warehousing solutions.
* Proficiency with version control systems such as Git.
* Familiarity with data governance practices, especially in educational or public-sector environments.
* Experience using AI or machine learning tools (e.g., OpenAI) to enhance data analysis, automation, or reporting workflows.
* Knowledge of educator preparation policy, accreditation processes, or workforce analytics.
Application Period
Priority consideration will be given to candidates who apply by December 2, 2025. Applications will be accepted until the job posting is removed.
How To Apply
Please click "Apply Now" to complete the California State University, Chancellor's Office online employment application.
Equal Employment Opportunity
Consistent with California law and federal civil rights laws, the CSU provides equal opportunity in education and employment without unlawful discrimination or preferential treatment based on race, sex, color, ethnicity, or national origin. Reasonable accommodations will be provided for qualified applicants with disabilities who self-disclose by contacting the Senior Human Resources Manager at **************.
Title IX
Please view the Notice of Non-Discrimination on the Basis of Gender or Sex and Contact Information for Title IX Coordinator at: *********************************
E-Verify
This position requires new hire employment verification to be processed through the E-Verify program administered by the Department of Homeland Security, U.S. Citizenship and Immigration Services (DHSUSCIS)' in partnership with the Social Security Administration (SSA).
If hired, you will be required to furnish proof that you are legally authorized to work in the United States. The CSU Chancellor's Office is not a sponsoring agency for staff and Management positions (i.e., H1-B VISAS).
COVID19 Vaccination Policy
Per the CSU COVID-19 Vaccination Policy, it is strongly recommended that all Chancellor's Office employees who are accessing office and campus facilities follow COVID-19 vaccine recommendations adopted by the U.S. Centers for Disease Control and Prevention (CDC) and the California Department of Public Health (CDPH) applicable to their age, medical condition, and other relevant indications.
Mandated Reporter Per CANRA
The person holding this position is considered a 'mandated reporter' under the California Child Abuse and Neglect Reporting Act and is required to comply with the requirements set forth in CSU Executive Order 1083 as a condition of employment.
CSU Out of State Employment Policy
California State University, Office of the Chancellor, as part of the CSU system, is a State of California Employer. As such, the University requires all employees upon date of hire to reside in the State of California. As of January 1, 2022, the CSU Out-of-State Employment Policy prohibits the hiring of employees to perform CSU-related work outside the state of California.
Background
The Chancellor's Office policy requires that the selected candidate successfully complete a full background check (including a criminal records check) prior to assuming this position.
Advertised: Nov 18 2025 Pacific Standard Time
Applications close:
Software Readiness/Data Engineer, Enterpise Technology Services
Data scientist job in Elk Grove, CA
Apple is a place where extraordinary people gather to do their best work. Just be ready to dream big! The people here at Apple don't just build products - they build the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that encourages the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. Imaging what you could do here! At Apple, creative ideas have a way of becoming wonderful products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Essential Fucntions Resolve technical and non-technical issues through tickets, from understanding user problems to giving solutions and documenting root cause analysis. Effectively communicate to both technical and non-technical customers the progress of the ticket. Identify and guide teams to understand users issue and help teams come up with solutions to address the concern. Collaborate with cross functional teams to fix issues like bugs and data quality. Ensure customer success through timely issue resolution, providing positive customer impact and experience. In this role you will be asked to lead through ambiguous tickets and issues on a big data system, working with cross functional teams on Apple's manufacturing data platform. The expectation is that you will be able to independently drive ownership of the issue across all leadership levels of the business and provide guidance and direction when you may not have all the facts or data points. Teams across the organization are relying on the solutions we provide to make critical decisions with system availability being paramount to the success of many groups throughout the company, and with the ability to work weekends and holidays as required.
Customer-oriented mindset with a focus on delivering quality support and ensuring high customer satisfaction Interact with end-users to understand, clarify, and document issues, as well as to provide updates on issue resolution progress. Excellent communication skills to convey technical information to both technical and non-technical stakeholders. Conducts research to understand how the organization functions and where it can improve. Being able to analyze this information and form a hypothesis of organization weaknesses and how to fix them. Prepares reports with excel or Similar tools. L2/L3 support on large enterprise applications with advance troubleshooting and root cause analysis. Stays current with latest trends in manufacturing and operations in industries and applies them to existing business models Travels to different job locations as required to maximize business knowledge and user feedback. Analyze and interpret data to support business in decision-making, ensuring data accuracy and integrity. Performs requirements gathering for overall improvement of platform. Creates documentation for SOPs and process flows. Collaborate with the testing team to ensure that testing efforts align with business requirements and participate in user acceptance testing (UAT) and facilitate user feedback. Works with members of own team to offer different ideas Clarifies strategic and operational problems / successes / failures with management Implement strategies for gathering, reviewing and analyzing data to see the trend and patterns.
Python Scripting experience. Working knowledge on Linux Operating System and Unix/Shell Scripting. Experience with Tableau (or other similar reporting tools) for data Visualisation and reporting.
5+ years of experience working in L2/L3 support on large enterprise applications with advanced troubleshooting and root cause analysis across multiple technologies. Exposure to cloud technologies. Programming work experience in writing complex Sql to extract Data from a large Databases.
Data Engineer II
Data scientist job in Sacramento, CA
We're always looking for diverse, talented, service-oriented people to join our exceptional team. Data Engineer II The pay range for this position is listed below. Our pay ranges are built to allow for candidates with various levels of skill and experience to be considered, as well as for room for growth and tenure achieved in a role over time. Typical new hire salary offers fall within the minimum to midpoint of a pay range for many candidates. Any offer extended to a candidate will be based upon their unique set of knowledge, skills, education, and experience as well as internal equity.
Pay Range:
$96,110.00 - $153,777.00
Scheduled Weekly Hours:
40
What You'll Be Doing
Designs, implements, and maintains moderately complex data pipelines. Responsibilities include maintenance of database dictionaries, database design, and data integration solutions.
* Define requirements based on independent analysis of applications of medium complexity and working with BSA's and end users.
* Design architecture, database schemas and database systems of medium complexity.
* Develop department and process standards and best practices.
* Develop data integration and process requirements based on business process analysis.
* Create and maintain data models and data dictionaries.
* Identify hardware requirements and work with infrastructural resources for implementation and maintenance.
* Determine and forecast needs and allocate resources for upcoming projects.
* Design and develop complex multi-chain data integration processes.
* Review submitted database requests to ensure code quality.
* Coach application developers on best practices for SQL Development balancing performance and total cost of ownership.
* Provide essential data warehouse architecture, design, development and support.
* Provide on-call support as necessary on a rotating schedule.
Additional Job Functions
* Performs other duties as assigned
* Complies with regulatory compliance and assigned training requirements including but not limited to BSA regulations corresponding to their specific job duties. Failure to do so may result in disciplinary and other employment related actions
Qualifications
* Bachelor's Degree or equivalent years of experience required
* 5-7 years of experience in data engineering
* 7-10 years of experience with ETL/ELT and data integration tools
Knowledge, Skills, and Abilities
* Comprehensive working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of non-relational database technologies.
* Intermediate in developing Extraction/Transformation/Loading processes for System Integration and Data Intermediate in SQL Server Integration Services, SQL 2012 and above, C# or Java, JavaScript, and Python
* Experience with Snowflake, Boomi, QLIK Replicate
* Functional knowledge of ERwin Data Modeling Suite
* Comprehensive knowledge in Restful and SOAP API creation and consumption
* Comprehensive knowledge of database design and development
* Understanding of TSQL and stored procedure development
* Strong analytical, problem solving and conceptual skills
* Proven and successful accomplishments of manipulating, processing and extracting value from large and disconnected datasets.
* Intermediate knowledge in TFS source control and experience with Azure DevOps
* Experienced in Information Technology Service Management: Data Quality ,Meta Data Management, Master Data Management, Agile Methodology, SCRUM
SchoolsFirst FCU is committed to Diverse, Equitable, and Inclusive Hiring
At SchoolsFirst FCU we are dedicated to building and growing a diverse, inclusive, and authentic Dream Team, so if you're excited about a position or wanting to make a career change but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. Many skills are transferrable and you may be just the right candidate for the position, or for other roles we are working on.
SchoolsFirst Federal Credit Union is committed to fostering, cultivating, and preserving a culture of diversity and inclusion. SchoolsFirst FCU is an equal opportunity employer and prohibits discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibits discrimination against all individuals based on their race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, political affiliation, or genetic information.
This organization participates in E-Verify.
Auto-ApplySenior Data Scientist, Navista
Data scientist job in Sacramento, CA
At Navista, our mission is to empower community oncology practices to deliver patient-centered cancer care. Navista, a Cardinal Health company, is an oncology practice alliance co-created with oncologists and practice leaders that offers advanced support services and technology to help practices remain independent and thrive. True to our name, our experienced team is passionate about helping oncology practices navigate the future.
We are seeking an innovative and highly skilled **Senior Data Scientist** with specialized expertise in Generative AI (GenAI), Large Language Models (LLMs), and Agentic Systems to join the Navista - Data & Advanced Analytics team supporting the growth of our Navista Application Suite and the Integrated Oncology Network (IoN). In this critical role, you will be at the forefront of designing, developing, and deploying advanced AI solutions that leverage the power of generative models and intelligent agents to transform our products and operations. You will be responsible for pushing the boundaries of what's possible, from foundational research to production-ready applications, working with diverse datasets and complex problem spaces, particularly within the oncology domain.
The ideal candidate will possess a deep theoretical understanding and practical experience in building, fine-tuning, and deploying LLMs, as well as architecting and implementing agentic frameworks. You will play a key role in shaping our AI strategy, mentoring junior team members, and collaborating with cross-functional engineering and product teams to bring groundbreaking AI capabilities to life, including developing predictive models from complex, often unstructured, oncology data.
**_Responsibilities_**
+ **Research & Development:** Lead the research, design, and development of novel Generative AI models and algorithms, including but not limited to LLMs, diffusion models, GANs, and VAEs, to address complex business challenges.
+ **LLM Expertise:** Architect, fine-tune, and deploy Large Language Models for various applications such as natural language understanding, generation, summarization, question-answering, and code generation, with a focus on extracting insights from unstructured clinical and research data.
+ **Agentic Systems Design:** Design and implement intelligent agentic systems capable of autonomous decision-making, planning, reasoning, and interaction within complex environments, leveraging LLMs as core components.
+ **Predictive Modeling:** Develop and deploy advanced predictive models and capabilities using both structured and unstructured data, particularly within the oncology space, to forecast outcomes, identify trends, and support clinical or commercial decision-making.
+ **Prompt Engineering & Optimization:** Develop advanced prompt engineering strategies and techniques to maximize the performance and reliability of LLM-based applications.
+ **Data Strategy for GenAI:** Work with data engineers to define and implement data collection, preprocessing, and augmentation strategies specifically tailored for training and fine-tuning generative models and LLMs, including techniques for handling and enriching unstructured oncology data (e.g., clinical notes, pathology reports).
+ **Model Evaluation & Deployment:** Develop robust evaluation metrics and methodologies for generative models, agentic systems, and predictive models. Oversee the deployment, monitoring, and continuous improvement of these models in production environments.
+ **Collaboration & Leadership:** Collaborate closely with machine learning engineers, software engineers, and product managers to integrate AI solutions into our products. Provide technical leadership and mentorship to junior data scientists.
+ **Innovation & Thought Leadership:** Stay abreast of the latest advancements in GenAI, LLMs, and agentic AI research. Proactively identify new opportunities and technologies that can enhance our capabilities and competitive advantage.
+ **Ethical AI:** Ensure the responsible and ethical development and deployment of AI systems, addressing potential biases, fairness, and transparency concerns.
**_Qualifications_**
+ 8-12 years of experience as a Data Scientist or Machine Learning Engineer, with a significant focus on deep learning and natural language processing, preferred
+ Bachelor's degree in related field, or equivalent work experience, preferred
+ Proven hands-on experience with Generative AI models (e.g., Transformers, GANs, VAEs, Diffusion Models) and their applications.
+ Extensive experience working with Large Language Models (LLMs), including fine-tuning, prompt engineering, RAG (Retrieval Augmented Generation), and understanding various architectures (e.g., GPT, Llama, BERT, T5).
+ Demonstrated experience in designing, building, and deploying agentic systems or multi-agent systems, including concepts like planning, reasoning, and tool use.
+ Strong experience working with unstructured data, particularly in the oncology domain (e.g., clinical notes, pathology reports, genomic data, imaging reports), and extracting meaningful features for analysis.
+ Demonstrated ability to create and deploy predictive capabilities and models from complex datasets, including those with unstructured components.
+ Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
+ Experience with relevant libraries and tools (e.g., Hugging Face Transformers, LangChain, LlamaIndex).
+ Strong understanding of machine learning fundamentals, statistical modeling, and experimental design.
+ Experience with at least one cloud platforms ( GCP, Azure) for training and deploying large-scale AI models.
+ Excellent problem-solving skills, with the ability to tackle complex, ambiguous problems and drive solutions.
+ Strong communication and presentation skills, capable of explaining comp
+ Experience in the healthcare or life sciences industry, specifically with oncology data and research, highly preferred
+ Experience with MLOps practices for deploying and managing large-scale AI models, highly preferred
+ Familiarity with distributed computing frameworks (e.g., Spark, Dask), highly preferred
+ Experience contributing to open-source AI projects, highly preferred
**_What is expected of you and others at this level_**
+ Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects
+ Participates in the development of policies and procedures to achieve specific goals
+ Recommends new practices, processes, metrics, or models
+ Works on or may lead complex projects of large scope
+ Projects may have significant and long-term impact
+ Provides solutions which may set precedent
+ Independently determines method for completion of new projects
+ Receives guidance on overall project objectives
+ Acts as a mentor to less experienced colleagues
**Anticipated salary range:** $123,400 - $176,300
**Bonus eligible:** Yes
**Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being.
+ Medical, dental and vision coverage
+ Paid time off plan
+ Health savings account (HSA)
+ 401k savings plan
+ Access to wages before pay day with my FlexPay
+ Flexible spending accounts (FSAs)
+ Short- and long-term disability coverage
+ Work-Life resources
+ Paid parental leave
+ Healthy lifestyle programs
**Application window anticipated to close:** 02/15/2026 *if interested in opportunity, please submit application as soon as possible.
The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity.
\#LI-Remote
_Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._
_Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._
_To read and review this privacy notice click_ here (***************************************************************************************************************************
ACTUARY SUPERVISOR
Data scientist job in Sacramento, CA
Do you enjoy working in a fast-paced Remote Centered environment with variety in your work? The California Department of Insurance (CDI) is seeking a dynamic Supervising Casualty Actuary with experience developing or reviewing rates for Property & Casualty lines of Insurance.
If this is you, then CDI may be the employer for you!
Under the direction of the Chief Actuary, CEA, the Supervising Casualty Actuary assigns and supervises the work of actuarial staff, including their reviews of rate applications and models; serves on Department and industry committees; completes employee performance evaluations and probationary reports; trains, develops and mentors actuarial staff; participates in the recruitment and selection of new staff; and monitors staff continuing education.
This position is designated under the Conflict of Interest Code. The position is responsible for making or participating in governmental decisions that may potentially have a material effect on personal financial interests. The appointee is required to complete a Statement of Economic Interest (Form 700), which includes an Assuming Office filing within 30 days of appointment, annual filings, and a Leaving Office filing within 30 days of physical separation. Non-compliance with the Conflict of Interest Code requirements may result in the voiding of appointment, financial penalties, or enforcement actions.
Effective July 1, 2025, the California Department of Human Resources (CalHR) implemented the Personal Leave Program (PLP) 2025 and related Pay Differential 386. PLP 2025 requires employees to receive a reduction in pay in exchange for monthly hours of PLP 2025 leave credits. The salary range(s) included on this job posting do not reflect the reduction in pay. For more information, visit the CalHR website (******************
New to state service? Learn how to apply here.
You will find additional information about the job in the Duty Statement.
Working Conditions
* The incumbent must be able to work in a high-rise building.
* The incumbent may telework in accordance with CDI's Telework Policy. Teleworking employees may be required to report to their headquarters office location on designated telework days. Travel expenses are not reimbursed, however other authorized transit subsidies do exist for those who qualify.
Minimum Requirements
You will find the Minimum Requirements in the Class Specification.
* ACTUARY SUPERVISOR
Additional Documents
* Job Application Package Checklist
* Duty Statement
Position Details
Job Code #:
JC-501782
Position #(s):
413-127-5490-XXX
Working Title:
Supervising Casualty Actuary
Classification:
ACTUARY SUPERVISOR
$14,151.00 - $17,633.00
New to State candidates will be hired into the minimum salary of the classification or minimum of alternate range when applicable.
# of Positions:
1
Work Location:
United States
Telework:
Hybrid
Job Type:
Permanent, Full Time
Department Information
CDI is the consumer protection agency for the nation's largest insurance marketplace and safeguards all of the state's consumers by fairly regulating the insurance industry. With annual direct premiums of $340 billion, California is the largest insurance market in the United States and the fourth largest insurance market in the world.
Nearly 1,400 dedicated employees work at CDI to oversee more than 1,400 insurance companies and license more than 425,000 agents, brokers, adjusters, 7and business entities
Rate Regulation Branch
Rate Actuary Office
This position is available to be headquartered in Los Angeles, Oakland or Sacramento.
Department Website: ***************************
Special Requirements
Please attach (upload) all the required documents to verify that you meet the minimum qualifications for this position (i.e., degree, transcript, license, certificate). If you fail to provide the required documentation, your application package will be marked as incomplete and not considered for an interview.
* Exam list eligibility - refer to exam link below.
* Transfer eligibility, if applicable, for current/former civil service employees
* Statement of Qualifications
* Degree or Transcripts
* Resume
Application Instructions
Completed applications and all required documents must be received or postmarked by the Final Filing Date in order to be considered. Dates printed on Mobile Bar Codes, such as the Quick Response (QR) Codes available at the USPS, are not considered Postmark dates for the purpose of determining timely filing of an application.
Final Filing Date: 1/2/2026
Who May Apply
Individuals who are currently in the classification, eligible for lateral transfer, eligible for reinstatement, have list or LEAP eligibility, are in the process of obtaining list eligibility, or have SROA and/or Surplus eligibility (please attach your letter, if available). SROA and Surplus candidates are given priority; therefore, individuals with other eligibility may be considered in the event no SROA or Surplus candidates apply.
Applications will be screened and only the most qualified applicants will be selected to move forward in the selection process. Applicants must meet the Minimum Qualifications stated in the Classification Specification(s).
How To Apply
Complete Application Packages (including your Examination/Employment Application (STD 678) and applicable or required documents) must be submitted to apply for this Job Posting. Application Packages may be submitted electronically through your CalCareer Account at ********************** When submitting your application in hard copy, a completed copy of the Application Package listing must be included. If you choose to not apply electronically, a hard copy application package may be submitted through an alternative method listed below:
Address for Mailing Application Packages
You may submit your application and any applicable or required documents to:
Department of Insurance
CDI Jobs Inquiries
Attn: Classification & Consultation Unit
Human Resources Management Division
300 Capitol Mall, 13th Floor
Sacramento, CA 95814
Address for Drop-Off Application Packages
You may drop off your application and any applicable or required documents at:
Department of Insurance
CDI Jobs Inquiries
Classification & Consultation Unit
Human Resources Management Division
300 Capitol Mall, 13th Floor
Sacramento, CA 95814
08:00 AM - 05:00 PM
Required Application Package Documents
The following items are required to be submitted with your application. Applicants who do not submit the required items timely may not be considered for this job:
* Current version of the State Examination/Employment Application STD Form 678 (when not applying electronically), or the Electronic State Employment Application through your Applicant Account at ********************** All Experience and Education relating to the Minimum Qualifications listed on the Classification Specification should be included to demonstrate how you meet the Minimum Qualifications for the position.
* Resume is required and must be included.
* Degree and/or School Transcripts
* Statement of Qualifications - Instructions may be found in the Statement of Qualifications Section of this job posting.
Applicants requiring reasonable accommodations for the hiring interview process must request the necessary accommodations if scheduled for a hiring interview. The request should be made at the time of contact to schedule the interview. Questions regarding reasonable accommodations may be directed to the EEO contact listed on this job posting.
Desirable Qualifications
In addition to evaluating each candidate's relative ability, as demonstrated by quality and breadth of experience, the following factors will provide the basis for competitively evaluating each candidate:
* Demonstrated leadership skills At least three years of experience in developing or reviewing rates for P&C lines of insurance
* Exceptional organizational skills Effective written, verbal, and presentation skills
* Strong business acumen with an understanding of how the insurance industry, consumer advocates, and the Department interact with each other and work jointly to ensure that California insurance are not excessive, inadequate, nor unfairly discriminatory
* Ability to collaborate with internal and external parties
* Attainment of Fellowship designation from the Casualty Actuarial Society Effective critical thinking and problem-solving skills
* Knowledge of the California Insurance Code, California Code of Regulations and policies as they pertain to P&C insurance ratemaking under Proposition 103, and the Actuarial Standards of Practice promulgated by the American Academy of Actuaries
* Experience in developing, using, or reviewing predictive models including, but not limited to, GLMs, GAMs, decision trees, ensemble methods, boosting and random forests, neural networks, and other machine learning applications used in the development of P&C insurance rates and rating plans
* Attainment of Certified Specialist in Predictive Analytics (CSPA) designation from the CAS Institute Experience with R, SAS, VBA, SQ:, Python, EMBLEM or any other programming languages or software
* Experience working with both stochastic (probabilistic) and scoring catastrophe models for various perils, including but not limited to wildfires, fire following earthquake, earthquake and flood
Benefits
* Flexible work hours
* Remote work options
* Medical Benefits - including health, dental, and vision insurance
* Employee Wellness Program
* Employee Assistance Program
* On the Job Training
* Career Services Program
* Recognition Program
* Paid Holidays and leave
* Defined benefit retirement program
* Savings Plus Program (401 (k), 457)
* Every 12 months, based on performance evaluation, employees may receive a 5% salary increase until they reach the maximum salary for the position.
Benefit information can be found on the CalHR website and the CalPERS website.
Contact Information
The Hiring Unit Contact is available to answer questions regarding the position or application process.
Department Website: ***************************
Hiring Unit Contact:
Classification & Consultation Unit
**************
********************************
Please direct requests for Reasonable Accommodations to the interview scheduler at the time the interview is being scheduled. You may direct any additional questions regarding Reasonable Accommodations or Equal Employment Opportunity for this position(s) to the Department's EEO Office.
EEO Contact:
EEO Officer
**************
********************
California Relay Service: ************** (TTY), ************** (Voice) TTY is a Telecommunications Device for the Deaf, and is reachable only from phones equipped with a TTY Device.
Examination Information
Step 1 - If you have not taken the Actuary Supervisor examination, or if your eligibility has expired, and/or you have no other type of eligibility, you MUST take the examination to be eligible for appointment. Please click the link provided below for the examination information and instructions.
Actuary Supervisor: Actuary Supervisor Exam Bulletin
Step 2 - Submit your application including all required documents, by using the "Apply Now" button found at the top of this bulletin.
Statement of Qualifications
This SOQ is a narrative discussion of how the candidate's education, training, experience, and skills qualify them for the position, as outlined in the duty statement and in both the minimum and desirable qualifications. The response must be typed with Arial Font 12-point single spaced and one page.
Equal Opportunity Employer
The State of California is an equal opportunity employer to all, regardless of age, ancestry, color, disability (mental and physical), exercising the right to family care and medical leave, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, political affiliation, race, religious creed, sex (includes pregnancy, childbirth, breastfeeding and related medical conditions), and sexual orientation.
It is an objective of the State of California to achieve a drug-free work place. Any applicant for state employment will be expected to behave in accordance with this objective because the use of illegal drugs is inconsistent with the law of the State, the rules governing Civil Service, and the special trust placed in public servants.
Environmental Science Intern
Data scientist job in Roseville, CA
There's no pledge more important than the one we make to look after our environment, and we're committed to helping you do exactly that.
Join us as we strive to ensure a sustainable future for our communities and the world we live in. Become part of our global network of skilled engineers, scientists, auditors, planners and environmental specialists, all working together to leave this world better than we found it.
Who are we looking for?
At GHD we are looking for new Environmental Science Intern to join the CAR team at our Roseville, CA office. An individual contributor with recognized skills in a specialized role in the field of Environmental Health.
Be part of the dynamic culture! Our workplace thrives on a hybrid model, combining in-office collaboration and flexibility. Join us in office, three days a week to contribute, connect and excel in our vibrant environment.
Working with an energetic and high performing team, this position offers a variety of work and will see you involved in:
Health, Safety, and Environment: Follow the organization's health, safety, and environment (HSE) policies, procedures, and mandatory instructions to identify and mitigate risks and to safeguard the environment and the well-being of self and others.
Data Collection and Analysis: Collate and analyze data using preset tools, methods, and formats. Involves working independently.
Document Preparation: Prepare moderately complex documents using a variety of applications for technology devices, such as standard office software. Also responsible for gathering and summarizing data for reports.
Environmental Impact Assessment: Carry out environmental impact assessments, delivering on assigned tasks to ensure comprehensive evaluation.
Environmental Risk Management: Contribute to the process of environmental risk management, ensuring actions align with environmental regulations and corporate sustainability goals.
Sampling and Testing: Collect a range of straightforward samples and undertake testing as directed and in accordance with defined processes and requirements to support regulatory compliance activity.
Personal Capability Building: Develop own capabilities by participating in assessment and development planning activities as well as formal and informal training and coaching. Develop and maintain an understanding of relevant technology, external regulation, and industry best practices through ongoing education, attending conferences, and reading specialist media.
What you will bring to the Team
Education
Currently enrolled in an environmental science or equivalent Bachelor's or Master's degree program
Experience
General Experience: No experience required.
#LI-AL1
Salary Range: $20,00- $25,00 based on experience and location.
As a multicultural organization, we encourage individual achievement and recognize the strength of a diverse workforce. GHD is an equal opportunity employer. We provide equal employment opportunities to all qualified employees and applicants without regard to race, color, religion, genetic information, national origin, sex (including same sex), sexual orientation, gender identity, pregnancy, childbirth, or related medical conditions, age, disability or handicap, citizenship status, service member status, or any other category protected by federal, state, or local law.
Auto-ApplySenior Data Analytics Engineer
Data scientist job in Sacramento, CA
- Design, develop, and maintain interactive Power BI reports and dashboards using Desktop, Service, and Embedded Power BI. - Implement robust data models with calculated columns, measures, and relationships to support business KPIs and time intelligence.
- Manage deployment processes to Power BI Service workspaces, including scheduling refreshes and configuring access management.
- Develop and optimize data solutions leveraging Azure Synapse Analytics, including schema design, indexing, and distribution strategies.
- Build and orchestrate ETL pipelines using Azure Synapse Pipelines/Azure Data Factory for efficient data integration and transformation.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ********************.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: ****************************************************
Skills and Requirements
- 3+ yrs of experience with Power BI (Desktop, Service, Embedded), including DirectQuery and Import modes.
- Strong knowledge of data modeling principles and implementation of Row-Level Security (RLS).
- Expertise in Azure Synapse Analytics (star/snowflake schema, column store indexing, distribution methods, partitioning).
- Proficiency in Azure Data Lake Storage Gen2, including hierarchical folder structures and Parquet file optimization.
- Proven ability to design fault-tolerant ETL pipelines with error handling, logging, and integration with monitoring tools.
Bigdata Engineer
Data scientist job in Sacramento, CA
Primary Responsibilities
Develop web based user interfaces for analysis of operational and business data
Create algorithmic data models
Manage data sources and feeds for web based user interfaces
Ability to deliver on deadline driven projects
Work within a standards driven development approach
Collaborate effectively with team members
General Experience with the following:
Familiarity with Data Analytics / Data Science practices
Familiarity with Data Quality and Master Data Management practices
Effective communication skills, both written and verbal
Create technical design/specification documentation
Experience with formal source control tools/methods
Education and Experience
Prefer bachelor's degree or above in Computer Science or related fiel
5+ years of development experience
4+ years of web development with AJAX skills
4+ years of database development experience
2+ Big Data experience: Hadoop, Hbase, Cassandra, MongoDB, etc.
Database administration experience
Skills and Knowledge
Development/Management experience with most of the following:
HTML, Javascript, XML
PERL/PHP
Adobe FLEX
Oracle/MS SQL experience
Informatica product suite
Java Web Services
Qualifications
Big Data, HTML, Javascript, XML, Oracle/MS SQL, Data Analytics, Data Science
Additional Information
All your information will be kept confidential according to EEO guidelines.
Sr Data Engineer, Palantir
Data scientist job in Sacramento, CA
**A Day in the Life:** We are seeking a talented **Sr Data Engineer, Palantir (experience required)** to join our Strategic Data & Analytics team working on Hertz's strategic applications and initiatives. This role will work in multi-disciplinary teams rapidly building high-value products that directly impact our financial performance and customer experience. You'll build cloud-native, large-scale, employee facing software using modern technologies including React, Python, Java, AWS, and Palantir Foundry.
The ideal candidate will have strong development skills across the full stack, a growth mindset, and a passion for building software at a sustainable pace in a highly productive engineering culture. Experience with Palantir Foundry is highly preferred but not required - we're looking for engineers who are eager to learn and committed to engineering excellence.
We expect the starting salary to be around $135k but will be commensurate with experience.
**What You'll Do:**
Day-to-Day Responsibilities
+ Work in balanced teams consisting of Product Managers, Product Designers, and engineers
+ Test first - We strive for Test-Driven Development (TDD) for all production code
+ CI (Continuous Integration) everything - Automation is core to our development process
+ Architect user-facing interfaces and design functions that help users visualize and interact with their data
+ Contribute to both frontend and backend codebases to enhance and develop projects
+ Build software at a sustainable pace to ensure longevity, reliability, and higher quality output
Frontend Development
+ Design and develop responsive, intuitive user interfaces using React and modern JavaScript/TypeScript
+ Build reusable component libraries and implement best practices for frontend architecture
+ Generate UX/UI designs (no dedicated UX/UI designers on team) with considerations for usability and efficiency
+ Optimize applications for maximum speed, scalability, and accessibility
+ Develop large-scale, web and mobile software utilizing appropriate technologies for use by our employees
Backend Development
+ Develop and maintain RESTful APIs and backend services using Python or Java
+ Design and implement data models and database schemas
+ Deploy to cloud environments (primarily AWS)
+ Integrate with third-party services and APIs
+ Write clean, maintainable, and well-documented code
Palantir Foundry Development (Highly Preferred)
+ Build custom applications and integrations within the Palantir Foundry platform
+ Develop Ontology-based applications leveraging object types, link types, and actions
+ Create data pipelines and transformations using Python transforms
+ Implement custom widgets and user experiences using the Foundry SDK
+ Design and build functions that assist users to visualize and interact with their data
Product Development & Delivery
+ Research problems and break them into deliverable parts
+ Work with a Lean mindset and deliver value quickly
+ Participate in all stages of the product development and deployment lifecycle
+ Conduct code reviews and provide constructive feedback to team members
+ Work with product managers and stakeholders to define requirements and deliverables
+ Contribute to architectural decisions and technical documentation
**What We're Looking For:**
+ Experience with Palantir Foundry platform, required
+ 5+ years in web front-end or mobile development
+ Bachelor's or Master's degree in Computer Science or other related field, preferred
+ Strong proficiency in React, JavaScript/TypeScript, HTML, and CSS for web front-end development
+ Strong knowledge of one or more Object Oriented Programming or Functional Programming languages such as JavaScript, Typescript, Java, Python, or Kotlin
+ Experience with RESTful API design and development
+ Experience deploying to cloud environments (AWS preferred)
+ Understanding of version control systems, particularly GitHub
+ Experience with relational and/or NoSQL databases
+ Familiarity with modern frontend build tools and package managers (e.g., Webpack, npm, yarn)
+ Experience with React, including React Native for mobile app development, preferred
+ Experience in Android or iOS development, preferred
+ Experience with data visualization libraries (e.g., D3.js, Plotly, Chart.js), preferred
+ Familiarity with CI/CD pipelines and DevOps practices, preferred
+ Experience with Spring framework, preferred
+ Working knowledge of Lean, User Centered Design, and Agile methodologies
+ Strong communication skills and ability to collaborate effectively across teams
+ Growth mindset - Aptitude and willingness to learn new technologies
+ Empathy - Kindness and empathy when building software for end users
+ Pride - Takes pride in engineering excellence and quality craftsmanship
+ Customer obsession - Obsessed with the end user experience of products
+ Strong problem-solving skills and attention to detail
+ Ability to work independently and as part of a balanced, multi-disciplinary team
+ Self-motivated with a passion for continuous learning and improvement
**What You'll Get:**
+ Up to 40% off the base rate of any standard Hertz Rental
+ Paid Time Off
+ Medical, Dental & Vision plan options
+ Retirement programs, including 401(k) employer matching
+ Paid Parental Leave & Adoption Assistance
+ Employee Assistance Program for employees & family
+ Educational Reimbursement & Discounts
+ Voluntary Insurance Programs - Pet, Legal/Identity Theft, Critical Illness
+ Perks & Discounts -Theme Park Tickets, Gym Discounts & more
The Hertz Corporation operates the Hertz, Dollar Car Rental, Thrifty Car Rental brands in approximately 9,700 corporate and franchisee locations throughout North America, Europe, The Caribbean, Latin America, Africa, the Middle East, Asia, Australia and New Zealand. The Hertz Corporation is one of the largest worldwide airport general use vehicle rental companies, and the Hertz brand is one of the most recognized in the world.
**US EEO STATEMENT**
At Hertz, we champion and celebrate a culture of diversity and inclusion. We take affirmative steps to promote employment and advancement opportunities. The endless variety of perspectives, experiences, skills and talents that our employees invest in their work every day represent a significant part of our culture - and our success and reputation as a company.
Individuals are encouraged to apply for positions because of the characteristics that make them unique.
EOE, including disability/veteran
Data Engineering
Data scientist job in Rosemont, CA
We are once again working with an exciting organization, they are looking for a Data Engineer to join their team. Your responsibilities will involve maintaining and enhancing the Registry's data acquisition, integration, and ETL pipelines in support of both operational and business intelligence data stores. The incumbent is responsible for applying diverse data cleansing and transformation techniques as well as the ongoing management and monitoring of all Registry databases. This includes addressing issues pertaining to the ongoing operations and optimization of the data environment including performance, reliability, logging, scalability, etc. This position will also provide support for the companies database systems, warehouse, marts, and supporting applications.
Your will also lead the efforts to develop a unified enterprise data model for the organization. Design, develop, and maintain high\-performance data platforms on premise and in Microsoft Azure cloud\-based environments including leading the development of a data warehouse environment to support the Registry's business intelligence roadmap. Champion efforts that will ensure that the organizations business intelligence applications remain relevant for use by internal business groups by actively participating in strategy and project planning discussions. You will work collaboratively with Registry participants and internal support teams, identify and implement changes that improve system performance and the user experience.
You will design, develop, and maintain the ETL pipelines using SSIS that standardize raw data from multiple data sources and optimize both the operational and dimensional\/star schema data model necessary for transactional systems and business intelligence applications. Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions aligning to an overall data architecture. Extract, transform, and load data to and from various data sources including relational databases, NoSQL databases, web services, and flat files. Produce various technical documents such as ER diagrams, table schemas, data lineage, API documents, etc.
Provide leadership and oversight on database architectural design for existing systems including database administration, performance monitoring, and troubleshooting. Provide complex analysis, conceptualize, design, implement, and develop solutions for critical data\-centric projects. Perform data flow, system and data analysis, and develop meaningful and useful presentation of data in downstream applications. Plan and implement standards, define\/code conformed global and reusable objects, perform complex database design and data repository modeling.
Monitor ETL processes, system audits, dashboard reporting, and presentation layer functioning and performance. Proactively identify and implement procedures that resolve performance and\/or data reporting issues. Support the optimal performance of the organization's data and BI systems. Monitor database performance, provide optimization recommendations, and implement recommendations. Follow the release cycles and implement on\-time delivery of task assignments, defect correction, change requests, and enhancements. Troubleshoot and solve technical problems. Perform other responsibilities as assignment by management.
Requirements
Relevant work experience in a data engineering role leveraging SQL, SSIS; including design and support of ETL routines that support the import of data from multiple data sources
Data warehousing experience including the design, development, and ongoing support of star or snowflake data schemas to support business intelligence applications
Database administration or database development experience in a SQL or MySQL environment; knowledge of Microsoft technology stack; background in Azure Infrastructure as a Service environment desired
Experience working with both structured and unstructured data
Demonstrated understanding of Business Intelligence and data solutions including cubes, data warehouse, data marts, and supporting schema types (star, snowflake, etc.)
Data modeling experience in building logical and physical data models
Applied knowledge of Microsoft Security\/Authentication Concepts (Active Directory, IIS, Windows OS)
Strong technical planning skills with the ability to prioritize and multitask across a number of work streams
Polished presentation skills; experience creating and presenting findings to executive level staff
Strong written, verbal and interpersonal communication skills, with an ability to communicate ideas and solutions effectively
Must be highly collaborative with the ability to manage and motivate project teams and meet deliverables
Ability to build strong stakeholder relationships and translate complex technical concepts to non\-technical stakeholders
Knowledge of SSRS or PowerBI is a plus
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Data Scientist, Product Analytics
Data scientist job in Sacramento, CA
As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
**Required Skills:**
Data Scientist, Product Analytics Responsibilities:
1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses
3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
**Minimum Qualifications:**
Minimum Qualifications:
6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
7. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent
8. 4+ years of work experience in analytics, data querying languages such as SQL, scripting languages such as Python, and/or statistical mathematical software such as R (minimum of 2 years with a Ph.D.)
9. 4+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights]
**Preferred Qualifications:**
Preferred Qualifications:
10. Master's or Ph.D. Degree in a quantitative field
**Public Compensation:**
$145,000/year to $204,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
Senior Data Scientist
Data scientist job in Sacramento, CA
**What Data Science contributes to Cardinal Health** The Data & Analytics Function oversees the analytics lifecycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytics products, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling.
Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems.
This role will support the Major Rugby business unit, a legacy supplier of multi-source, generic pharmaceuticals for over 60 years. Major Rugby provides over 1,000 high-quality, Rx, OTC and vitamin, mineral and supplement products to the acute, retail, government and consumer markets. This role will focus on leveraging advanced analytics, machine learning, and optimization techniques to solve complex challenges related to demand forecasting, inventory optimization, logistics efficiency and risk mitigation. Our goal is to uncover insights and drive meaningful deliverables to improve decision making and business outcomes.
**Responsibilities:**
+ Leads the design, development, and deployment of advanced analytics and machine learning models to solve complex business problems
+ Collaborates cross-functionally with product, engineering, operations, and business teams to identify opportunities for data-driven decision-making
+ Translates business requirements into analytical solutions and delivers insights that drive strategic initiatives
+ Develops and maintains scalable data science solutions, ensuring reproducibility, performance, and maintainability
+ Evaluates and implements new tools, frameworks, and methodologies to enhance the data science toolkit
+ Drives experimentation and A/B testing strategies to optimize business outcomes
+ Mentors junior data scientists and contributes to the development of a high-performing analytics team
+ Ensures data quality, governance, and compliance with organizational and regulatory standards
+ Stays current with industry trends, emerging technologies, and best practices in data science and AI
+ Contributes to the development of internal knowledge bases, documentation, and training materials
**Qualifications:**
+ 8-12 years of experience in data science, analytics, or a related field (preferred)
+ Advanced degree (Master's or Ph.D.) in Data Science, Computer Science, Engineering, Operations Research, Statistics, or a related discipline preferred
+ Strong programming skills in Python and SQL;
+ Proficiency in data visualization tools such as Tableau, or Looker, with a proven ability to translate complex data into clear, actionable business insights
+ Deep understanding of machine learning, statistical modeling, predictive analytics, and optimization techniques
+ Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is highly desirable
+ Excellent communication and storytelling skills, with the ability to influence stakeholders and present findings to both technical and non-technical audiences
+ Experience in Supervised and Unsupervised Machine Learning including Classification, Forecasting, Anomaly Detection, Pattern Detection, Text Mining, using variety of techniques such as Decision trees, Time Series Analysis, Bagging and Boosting algorithms, Neural Networks, Deep Learning and Natural Language processing (NLP).
+ Experience with PyTorch or other deep learning frameworks
+ Strong understanding of RESTful APIs and / or data streaming a big plus
+ Required experience of modern version control (GitHub, Bitbucket)
+ Hands-on experience with containerization (Docker, Kubernetes, etc.)
+ Experience with product discovery and design thinking
+ Experience with Gen AI
+ Experience with supply chain analytics is preferred
**Anticipated salary range:** $123,400 - $176,300
**Bonus eligible:** Yes
**Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being.
+ Medical, dental and vision coverage
+ Paid time off plan
+ Health savings account (HSA)
+ 401k savings plan
+ Access to wages before pay day with my FlexPay
+ Flexible spending accounts (FSAs)
+ Short- and long-term disability coverage
+ Work-Life resources
+ Paid parental leave
+ Healthy lifestyle programs
**Application window anticipated to close:** 12/02/2025 *if interested in opportunity, please submit application as soon as possible.
The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity.
\#LI-Remote
\#LI-AP4
_Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._
_Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._
_To read and review this privacy notice click_ here (***************************************************************************************************************************
Sr Data Engineer (MFT - IBM Sterling)
Data scientist job in Sacramento, CA
**A Day in the Life:** The IBM Sterling Senior MFT Engineer will have expertise in Sterling B2B Integrator, Sterling File Gateway, Sterling Secure Proxy, Control Center. This position requires an expert level knowledge of these technologies. You'll provide third-level support for core hardware, software, data and infrastructure components within the B2B integration team. The software focus areas will include software infrastructure components, continuous improvement and automation related to middleware and enterprise data movement within a mission-critical, multi-site enterprise environment.
The ideal candidate will have a passion for technology; possess the ability to create change and be the facilitator for this transformation. They will have experience tailoring software design, developing, and implementing of solutions in support of data quality and automation. They will need to understand the requirements of a project, test the performance of the infrastructure, and verify that the requirements have been successfully met.
We expect the starting salary to be around $135k but will be commensurate with experience.
**What You'll Do:**
TECHNICAL SENIORSHIP
+ Communication with internal and external business users on Sterling Integrator mappings
+ Making changes to existing partner integrations to meet internal and external requirements
+ Design, develop and implement solutions based on standards and processes that establish consistency across the enterprise data, reduce risks, and promote efficiencies in support of the organizational goals and objectives.
+ Diagnose and troubleshoot complex issues, restore services and perform root cause analysis.
+ Facilitate the review, vetting of these designs with the architecture governance bodies, as required.
+ Be aware of all aspects of security related to the Sterling environment and integrations
INNOVATIVE INFRASTRUCTURE & PROBLEM SOLVING
+ Strive to engineering excellence by simplifying, optimizing, and automating processes and workflows.
TEAMWORK & COMMUNICATION
+ Superior & demonstrated team building & development skills to harness powerful teams
+ Ability to communicate effectively with different levels of Seniorship within the organization
+ Provide timely updates so that progress against each individual incident can be updated as required
+ Write and review high quality technical documentation
CONTROL & AUDIT
+ Ensures their workstation and all processes and procedures, follow organization standards
CONTINUOUS IMPROVEMENT
+ Encourages and maintains a 'Best practice sharing culture', always striving to find ways to improve service and change mind set.
**What We're Looking For:**
+ Bachelor's degree in Engineering, Statistics, Computer Science or other quantitative fields, required
+ 5+ years of IT experience
+ 4+ years' experience working with Sterling B2B Integrator, Sterling File Gateway, PCM (preferred)
+ 3+ years' experience with scripting to enable automation of standard activities (example: Ansible, Python, Bash, Java)
+ Strong interpersonal and communication skills with Agile/Scrum experience.
+ Strong problem solving and critical thinking skills with a proven record for identifying and diagnosing problems, and solving complex problems with simple, logical solutions with the ability to develop custom setups.
+ Outstanding verbal, written, presentation, facilitation, and interaction skills, including ability to effectively communicate technical and non-technical issues and concepts to multiple organization levels.
+ Prefer Travel, transportation, or hospitality experience
+ Prefer experience with designing application data models for mobile or web applications
+ Excellent written and verbal communication skills.
+ Flexibility in scheduling which may include nights, weekends, and holidays
**What You'll Get:**
+ Up to 40% off the base rate of any standard Hertz Rental
+ Paid Time Off
+ Medical, Dental & Vision plan options
+ Retirement programs, including 401(k) employer matching
+ Paid Parental Leave & Adoption Assistance
+ Employee Assistance Program for employees & family
+ Educational Reimbursement & Discounts
+ Voluntary Insurance Programs - Pet, Legal/Identity Theft, Critical Illness
+ Perks & Discounts -Theme Park Tickets, Gym Discounts & more
The Hertz Corporation operates the Hertz, Dollar Car Rental, Thrifty Car Rental brands in approximately 9,700 corporate and franchisee locations throughout North America, Europe, The Caribbean, Latin America, Africa, the Middle East, Asia, Australia and New Zealand. The Hertz Corporation is one of the largest worldwide airport general use vehicle rental companies, and the Hertz brand is one of the most recognized in the world.
**US EEO STATEMENT**
At Hertz, we champion and celebrate a culture of diversity and inclusion. We take affirmative steps to promote employment and advancement opportunities. The endless variety of perspectives, experiences, skills and talents that our employees invest in their work every day represent a significant part of our culture - and our success and reputation as a company.
Individuals are encouraged to apply for positions because of the characteristics that make them unique.
EOE, including disability/veteran