Supply Chain Data Science Intern
Data scientist job in Ann Arbor, MI
KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.
Group/Division
The KLA Services team headquartered in Milpitas, CA is our service organization that consists of Service Sales and Marketing, Spares Supply Chain management, Field Operations, Engineering, Product Training, and Technical Support. The KLA Services organization partners with our field teams and customers in all business sectors to maintain the high performance and productivity of our products through a flexible portfolio of services. Our comprehensive services include: proactive management of tools to identify and improve performance; expertise in optics, image processing and motion control with worldwide service engineers, 24/7 technical support teams and knowledge management systems; and an extensive parts network to ensure worldwide availability of parts.
Job Description/Preferred Qualifications
Join KLA's Service Supply Chain team as a Summer Intern in Machine Learning! Our service supply chain supports a wide range of spare parts-from basic hardware to highly sophisticated optics, lasers, and precision mechanical devices. To ensure optimal delivery performance, we leverage advanced analytics and machine learning to predict demand and improve planning processes.
As an intern, you will:
Build a graph representation of KLA's spare parts demand network to enable predictive modeling and other advanced analytics.
Develop and implement machine learning models (e.g., using PyTorch) to forecast monthly spare parts demand.
Explore and apply graph-based approaches for network representation and prediction.
Work with large datasets to uncover patterns and insights that traditional analytics cannot easily reveal.
Collaborate with the supply chain and planning teams to integrate findings into actionable strategies.
Utilize Linux command line tools and scripting for data processing and workflow automation.
This internship offers hands-on experience applying cutting-edge machine learning techniques to real-world supply chain challenges.
Minimum Qualifications
Preferred Qualifications
Strong proficiency in Python programming.
Experience with at least one machine learning framework (e.g., PyTorch, TensorFlow, Keras).
Familiarity with graph theory and its applications in machine learning is a plus.
Comfort with Linux command line and basic scripting.
Solid understanding of probability, statistics, and data analysis and visualization.
Ability to communicate technical concepts clearly to both technical and non-technical audiences.
Minimum Qualifications
Enrollment in a graduate program (Master's or Ph.D.) in a relevant field.
Demonstrated experience in developing and applying machine learning models.
Strong data wrangling and preprocessing skills (e.g., data cleaning and quality control).
Ability to learn new tools and technologies quickly.
Collaborative mindset and willingness to work in a team environment.
Base Pay Range: $0.00 - $0.00 Per HourPrimary Location: USA-MI-Ann Arbor-KLAKLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave.
Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.
KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at ************************** or at *************** to request accommodation.
Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA's Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to ************************** to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.
Auto-ApplyData Scientist
Data scientist job in Lansing, MI
** At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we've been doing just that-our technology helped people put a man on the moon and capture the first-ever picture of a black hole.
We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital , WD , WD_BLACK, and SanDisk Professional brands.
We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world's biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, Western Digital is fueling a brighter, smarter future.
Today's exceptional challenges require your unique skills. Together, we can build the future of data storage.
**Job Description**
ESSENTIAL DUTIES AND RESPONSIBILITIES
+ **Business Partnership & Consulting**
+ Serve as the primary analytics partner to HR and business leaders, understanding their challenges and translating them into analytical solutions.
+ Provide insights and recommendations that inform decisions on talent strategy, workforce planning, retention, and employee experience.
+ Build strong relationships with HRBPs, COEs, and leadership teams to ensure alignment on priorities.
+ Experience advising, presenting to, and serving as a thought partner to senior executives.
+ **Analytics & Insights**
+ Develop dashboards, reports, and analyses on workforce metrics (e.g., attrition, DEI, engagement, recruiting, performance).
+ Translate complex data into clear, actionable insights with strong storytelling and visualization.
+ Deliver executive-ready materials that connect people data to business outcomes.
+ Partner cross-functionally with analytics and technical teams to ensure data accuracy, resolve quality issues, and maintain consistent, reliable insights.
+ **Advanced People Analytics**
+ Use statistical analysis, predictive modeling, and trend forecasting to identify workforce risks and opportunities.
+ Partner with HR Technology and Data teams to enhance data quality, governance, and reporting capabilities.
+ Lead initiatives to evolve people analytics from descriptive to predictive and prescriptive insights.
+ **Strategy & Enablement**
+ Guide stakeholders in building a data-driven culture within HR and across the business.
+ Drive adoption of self-service analytics platforms and democratize access to people insights.
**Qualifications**
REQUIRED
+ **Education & Experience**
+ Bachelor's or Master's in HR, Business, Data Analytics, Industrial/Organizational Psychology, Statistics, or a related field.
+ 6+ years of experience in People Analytics, HR Analytics, Workforce Planning, or related fields.
SKILLS
+ **Technical Skills**
+ Strong expertise in data visualization tools (e.g., Tableau, Power BI, Workday People Analytics, Visier).
+ Advanced Excel, SQL, or Python/R for data analysis preferred.
+ Understanding of HR systems (Workday, SuccessFactors, etc.) and data structures.
+ **Business & Consulting Skills**
+ Exceptional ability to translate data into business insights and recommendations.
+ Strong stakeholder management, influencing, and storytelling skills.
+ Experience in partnering with senior leaders to drive data-informed decisions
**Additional Information**
Western Digital is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person's gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person's assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Know Your Rights: Workplace Discrimination is Illegal (************************************************************************************** " poster. Our pay transparency policy is available here (****************************************************** .
Western Digital thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
Western Digital is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. 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.
Based on our experience, we anticipate that the application deadline will be **12/2/2025** (3 months from posting), although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline.
\#LI- VV1
**Compensation & Benefits Details**
+ An employee's pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs.
+ The salary range is what we believe to be the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York. This range may be modified in the future.
+ If your position is non-exempt, you are eligible for overtime pay pursuant to company policy and applicable laws. You may also be eligible for shift differential pay, depending on the shift to which you are assigned.
+ You will be eligible to be considered for bonuses under **either** Western Digital's Short Term Incentive Plan ("STI Plan") or the Sales Incentive Plan ("SIP") which provides incentive awards based on Company and individual performance, depending on your role and your performance. You may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to Western Digital's Standard Terms and Conditions for Restricted Stock Unit Awards.
+ We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program; employee stock purchase plan; and the Western Digital Savings 401(k) Plan.
+ **Note:** No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.
**Notice To Candidates:** Please be aware that Western Digital and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Western Digital Ethics Helpline (******************************************************************** or email ****************** .
Data Scientist, NLP
Data scientist job in Lansing, MI
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, Marketing
Data scientist job in Lansing, MI
**Employment Type:** FullTime Remote **Department** Finance & Operations, Data **Compensation:** $160.1K - $188.1K - Offers Equity _At Confluent, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including work history, education, professional experience, and location. The actual pay may vary depending on your skills, qualifications, experience, and work location. In addition, Confluent offers a wide range of employee benefits. To learn more about our benefits click_ here (****************************** _._
**Overview**
We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them.
It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together.
One Confluent. One Team. One Data Streaming Platform.
**About the Role:**
As a Marketing Data Scientist at Confluent, you will be a key player in analyzing lead funnel efficiency, marketing measurement and pipeline management. In this role, you will collaborate with Marketing, Growth, Sales & Finance stakeholders. Your focus will include data exploration, conducting in-depth analyses, and generating actionable insights to optimize and sustain healthy marketing funnel.
**What You Will Do:**
+ Identify high-impact opportunities through data exploration, and generate strategic insights by collaborating with cross-functional teams, contributing to improvement amongst top of the funnel conversion metrics.
+ Define marketing metrics to measure success, develop scalable reporting to monitor the health of our pipeline, and analyze drivers for company KPIs
+ Share actionable insights and recommendations with leadership at various levels, playing a pivotal role in determining marketing campaign and pipeline strategy
+ Design and execute A/B tests to measure the impact of product features and launches, providing insights that guide iterative improvements.
+ Provide deep understanding of customer journey phases, from awareness to conversion with expertise in analyzing metrics like ROI, CLTV etc. to identify opportunities for growth and optimization
+ Collaborate with other data scientists across our organization to share best practices, learn new analytical techniques, and champion an organizational culture where data is central to decision making
**What You Will Bring:**
+ 3+ years of experience in Data Science supporting a marketing function, preferably at a B2B SaaS company
+ Strong proficiency in data manipulation, especially using SQL (3+ years of experience) and a scripting language (Python/R)
+ Proficiency in data visualization and building dashboards with tools such as Tableau
+ Excellent communication skills, and ability to collaborate effectively with technical and non-technical stakeholders
+ Experience with marketing attribution models across a variety of channels (SEO, Paid Search, Social, etc.) and A/B testing frameworks
+ Exceptional problem solving skills and detail-oriented mindset
+ Bachelor or advanced degree in a quantitative discipline: computer science, engineering, statistics, economics, etc.
**What Gives You an Edge:**
+ Familiarity with lead funnel, marketing attribution models, and marketing measurement using causal inference and other advanced analytical methods.
+ Understanding of the B2B Marketing Stack, Salesforce objects
**Ready to build what's next? Let's get in motion.**
**Come As You Are**
Belonging isn't a perk here. It's the baseline. We work across time zones and backgrounds, knowing the best ideas come from different perspectives. And we make space for everyone to lead, grow, and challenge what's possible.
We're proud to be an equal opportunity workplace. Employment decisions are based on job-related criteria, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by law.
Data Scientist (Technical Leadership)
Data scientist job in Lansing, MI
We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
**Required Skills:**
Data Scientist (Technical Leadership) Responsibilities:
1. Work with complex data sets to solve challenging problems using analytical and statistical approaches
2. Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies
3. Identify and measure success through goal setting, forecasting, and monitoring key metrics
4. Partner with cross-functional teams to inform and execute product strategy and investment decisions
5. Build long-term vision and strategy for programs and products
6. Collaborate with executives to define and develop data platforms and instrumentation
7. Effectively communicate insights and recommendations to stakeholders
8. Define success metrics, forecast changes, and set team goals
9. Support developing roadmaps and coordinate analytics efforts across teams
**Minimum Qualifications:**
Minimum Qualifications:
10. Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab)
11. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development
12. Experience with predictive modeling, machine learning, and experimentation/causal inference methods
13. Experience communicating complex technical topics in a clear, precise, and actionable manner
**Preferred Qualifications:**
Preferred Qualifications:
14. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy
15. Masters or Ph.D. Degree in a quantitative field
16. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research)
17. 10+ years of experience doing complex quantitative analysis in product analytics
**Public Compensation:**
$206,000/year to $281,000/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.
Environmental Data Scientist
Data scientist job in Ann Arbor, MI
About Us Groundbreaker. Game changer. Pioneer. TRC has long set the bar for clients who require more than just engineering, combining science with the latest technology to devise innovative solutions that stand the test of time. From pipelines to power plants, roadways to reservoirs, schoolyards to security solutions, clients look to TRC for breakthrough thinking backed by the innovative follow-through of an industry leader.
TRC's professionals work with a broad range of commercial, industrial and government clients and the communities they serve. We deliver breakthrough solutions that address local needs -- so our clients can better succeed in an ever-changing world.
Working at TRC means tackling interesting, meaningful projects. We pride ourselves on our collaborative spirit, entrepreneurial zeal and agile corporate structure. We recognize that the expertise of our staff is our strongest asset, so we generously reward employees for successful performance and invest in their careers through training and the development of new skills and certifications.
Overview
TRC's vision is to solve the challenges of making the Earth a better place to live - community by community and project by project. We value Safety, Quality, Integrity, Creativity, Accountability, Teamwork, and Passion.
We currently have an opportunity for an Environmental Data Scientist to join our growing Engineering, Construction and Remediation Practice in Ann Arbor, MI. The position includes working with a multi-disciplinary team on a variety of environmental projects applying data management, data interpretations, and statistical evaluation support along with developing visualizations and infographics for various site investigation, groundwater monitoring, and remediation projects. This position will involve collaboration across TRC while participating in local project teams. The successful candidate will be a highly motivated, team-oriented individual with at least 2-6 years of data science and/or environmental industry-related experience.
Initial responsibilities will be commensurate with experience and capability and will include data analytics applied to engineering and geological interpretation of environmental data using a broad range data management systems and software applications, collaboration on sampling analysis plans, quality assurance project plans, and statistical evaluation plans and implementation of those plans through data processing, data reduction, and statistical analysis to support data-driven decision making. Project data includes field documentation, field-collected data, laboratory analytical data for a variety of environmental media, and geological and geotechnical information. Opportunities to contribute will focus on developing workflows and dashboards and integration of digital tools to compile and interpret data against various regulatory standards and prepare report ready data tables, charts, figures and other visualizations and infographics using a variety of tools.
Responsibilities
* Demonstrate excellence and efficiency in communication, data analysis, professional judgment, and knowledge of scientific principles.
* Thrive in a fast-paced environment, managing time effectively and balancing multiple project assignments and deadlines with a variety of project teams.
* Possess strong organizational, interpersonal, verbal, and written communication skills.
* Have a strong sense of responsibility and work ethic.
* Have the ability to lead initiatives and effectively organize and disseminate information.
* Demonstrate strong quality assurance/quality control skills and attention to detail.
* Compile, organize, and configure environmental datasets within the EarthSoft's EQuIS data management platform to support project objectives.
* Support geologic and engineering interpretations and the preparation of reports and visual materials using a variety of tools to effectively communicate findings to both technical and non-technical audiences.
* Work closely with cross-disciplinary teams of field and technical professionals-including geologists, environmental scientists, engineers, chemists, GIS/CAD specialists-and partner analytical laboratories.
Qualifications
* B.S. in environmental studies/sciences, data sciences or analytics, geology, chemistry, engineering or related field.
* Minimum 2 years of environmental consulting and/or professional experience with a focus on data management or analytics related to geological and/or engineering projects.
* Proven experience in statistical analysis, preferably within an environmental context, is a plus.
* Solid technical, analytical, and problem-solving skills.
* Highly motivated, collaborative, and capable of independently managing multiple responsibilities.
* Demonstrated capabilities for use and development of tools for environmental data analysis, statistical evaluation, and visualization (Microsoft Excel and Power BI, Python or R, ChemStat, Sanitas, ProUCL, Leapfrog).
* Experience and demonstrated understanding of Microsoft Access, Microsoft SQL, Oracle, EQuIS or equivalent database systems.
* Legal authorization to work in the United States without the need for sponsorship.
#LI-SE1
Benefits*: TRC offers a competitive benefit package consisting of:
* Medical, dental, vision, and disability insurance.
* 401k package that includes both traditional and Roth IRA options and Company match.
* Paid time off contingent upon full time or part time status and level of seniority (ranging from 15 to 25 days per year).
* All full-time employees enjoy a minimum of 8 Paid Holidays per year.
* TRC ensures that all employees, including those that work part-time, receive paid sick, family, and disability leave in accordance with the laws of their state of residence.
* These benefits are applicable to US employees depending on their employment status (full time, part time, or temporary). TRC offers jurisdiction specific benefit packages for International and Puerto Rico employees.
Compensation: In accordance with local law, the below salary range is applicable for the job and location associated with this requisition. Compensation will vary based upon experience, education, skill level, geographical location, and other compensable factors.
Other Compensation: Employee may be eligible for participation in the Company's annual Discretionary Bonus Program which is contingent on Company, Business Segment, and Individual performance against Key Performance Indicators which vary by year and employee.
Disclaimers
TRC is an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by applicable law. All employment decisions are made based on qualifications, merit, and business needs. We celebrate diversity and are committed to creating an inclusive environment for all employees.
The complete job description and application are available on TRC's career site.
TRC accepts applications for this position on an ongoing, rolling basis and reserves the right to cancel this posting at any time.
Salary Range
USD $64,896.00 - USD $80,371.00 /Yr.
Senior Data Scientist, Autonomous Vehicle Machine Learning
Data scientist job in Ann Arbor, MI
Woven by Toyota is enabling Toyota's once-in-a-century transformation into a mobility company. Inspired by a legacy of innovating for the benefit of others, our mission is to challenge the current state of mobility through human-centric innovation - expanding what “mobility” means and how it serves society.
Our work centers on four pillars: AD/ADAS, our autonomous driving and advanced driver assist technologies; Arene, our software development platform for software-defined vehicles; Woven City, a test course for mobility; and Cloud & AI, the digital infrastructure powering our collaborative foundation. Business-critical functions empower these teams to execute, and together, we're working toward one bold goal: a world with zero accidents and enhanced well-being for all.
TEAMAt Woven by Toyota, we tackle Autonomy challenges at the intersection of AI, Robotics, and Advanced Driving. Our work includes a diverse array of challenges and activities, such as analyzing petabytes of multimodal driving data, solving optimization problems in computer vision, minimizing latency on hardware accelerators, deploying scalable and efficient machine learning (ML) training and evaluation pipelines, and designing novel neural network architectures to advance state-of-the-art ML for Perception, Prediction, and Motion Planning. We are looking for doers and creative problem solvers to join us in improving mobility for everyone with human-centered automated driving solutions for personal and commercial applications.
WHO ARE WE LOOKING FOR?The team is looking for a Senior Data Scientist to spearhead the creation and deployment of sophisticated data models and algorithms to tackle business challenges for the Autonomy team. You will enhance and streamline scalable data pipelines, automation systems for machine learning, and performance assessment. You will also develop algorithms, pipelines and key strategies to optimize the utilization of large-scale fleet data for our next-generation automated driving solutions, influencing millions of Toyota customer vehicles. We are looking for individuals who are passionate about self-driving car technology and its potential impact on humanity.RESPONSIBILITIES
Lead the development of complex data models and algorithms to solve business problems for the Autonomy team.
Design and implement data strategies for collecting, sampling, labeling, and using large scale datasets to enhance machine learning model performance.
Develop metrics and tools for anomaly detection and trend analysis in data from various sources, including real-world vehicle platforms and simulations.
Analyze model performance metrics, model failure modes, statistical relevance of datasets, etc. to guide the overall ML engineering effort.
Design and improve scalable data pipelines and automation for machine learning and performance evaluation.
Prepare and present detailed reports and visualizations to stakeholders, clearly communicating complex results to both technical and non-technical audiences.
Stay current with advancements in data science and machine learning technologies, driving the adoption of best practices.
Work in a high-velocity environment and employ agile development practices.
Exhibit a "Giver" mindset, proactively asking, “What can I do for you?” to facilitate production development processes while maintaining a "get things done" mentality.
Collaborate closely with teams such as Perception, Motion Planning, Simulation, Infrastructure, and Tooling to drive unified solutions.
Work in a hybrid workspace, with the requirement to be present in our Nihonbashi (Japan), Palo Alto (California), or Ann Arbor (Michigan) offices three days per week.
MINIMUM QUALIFICATIONS
MS or PhD in a quantitative field (e.g. Statistics, Mathematics, Physics)
3+ years of experience solving large-scale data science problems
2+ years of experience with Python and SQL data analysis libraries and packages
Experience with theoretical aspects of data science and machine learning (deep learning, statistical analysis, and mathematical modeling)
Experience in building machine learning algorithms and infrastructure, such as: data pre- and post-processing, sampling and curation, ablation studies, evaluation
Strong communication skills with the ability to communicate concepts clearly and precisely.
NICE-TO-HAVES
Conducting thorough analyses of large-scale multimodal driving data
Leveraging statistical techniques and machine learning algorithms to derive data insights
Build or manage infrastructure, such as Docker, Kubernetes, Jenkins, GitHub Actions
Experience with temporal/sequential and/or spatial data
Experience with computer vision (e.g.multi-view geometry, camera calibration, depth estimation, neural radiance fields, gaussian splatting, simultaneous localization and mapping)
Experience with robot motion planning (e.g., trajectory optimization, sampling-based planning, model predictive control)
Experience in self-driving challenges (Perception, Prediction, Mapping, Localization, Planning, Simulation).
For positions based in Palo Alto, CA, the base pay for this position ranges from $161,000- $264,500 a year
Your base salary is one part of your total compensation. We offer a base salary, short term and long term incentives, and a comprehensive benefits package. The total compensation offered to an employee will be dependent upon the individual's skills, experience, qualifications, location, and level.
WHAT WE OFFERWe are committed to creating a modern work environment that supports our employees and their loved ones. We offer many options of the best programs to allow you to do your most meaningful work and to help you shape the future of mobility.・Excellent health, wellness, dental and vision coverage・A rewarding 401k program・Flexible vacation policy・Family planning and care benefits
Our Commitment・We are an equal opportunity employer and value diversity.・Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.
Auto-ApplySenior Data Scientist
Data scientist job in Lansing, MI
***************** 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 Lansing, MI
**Anywhere** **Type:** Contract-to-Hire **Category:** Data **Industry:** Government **Workplace Type:** Remote **Reference ID:** JN -112025-104364 **Shortcut:** ******************************* WWq + Description + Recommended Jobs **Description:**
We are looking for a hands-on data scientist is sought to develop prototypes of emerging technologies such as large language models (LLMs) and generative AI that solve complex business challenges. The ideal candidate will have at least seven years of experience in AI/ML/NLP and data modeling, along with strong cloud engineering expertise to ensure seamless integration of solutions within cloud-native environments. This role is part of a dynamic team focused on applying advanced technologies to drive digital modernization and innovation.
Rate: $60-70/hr. W2
Location: Remote
_This is a contract-to-hire opportunity. Applicants must be willing and able to work on a W2 basis and convert to FTE following contract duration. For our W2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance._
**Responsibilities:**
Operate and maintain an innovation lab focused on ideation, design, and engineering of cloud-native modernization projects using emerging technologies.
Develop comprehensive plans for implementing AI/ML/NLP solutions that meet cybersecurity and compliance standards.
Serve as a subject matter expert for large language model implementation and training.
Design and develop pilots, prototypes, and proof-of-concept solutions to validate modernization opportunities.
Ensure transparency, traceability, and security compliance, including preparation for Authorization To Operate (ATO) certifications.
Build predictive models, machine learning algorithms, and statistical analyses to address complex business problems.
Create low-risk implementation plans and present recommendations and demonstrations to executive and technical stakeholders.
Collaborate with cross-functional teams-data engineering, product, and business-to translate requirements into data-driven solutions.
Conduct exploratory data analysis and extract actionable insights from large datasets.
Support customer and user experience initiatives through research, metrics, and design artifacts such as wireframes and mockups.
Develop reusable code libraries and best practices for innovation and deployment.
Mentor junior data scientists and promote adoption of new technologies and methodologies.
Stay current with advancements in AI, ML, NLP, and cloud architectures.
Support Agile product teams in integrating and operationalizing emerging technologies.
Analyze usage data to identify patterns and opportunities for optimization.
**Experience Requirements:**
Experience with the following:
Proven track record of delivering impactful AI/ML/NLP solutions in cloud environments.
Strong communication, collaboration, and problem-solving skills.
Proficiency in programming languages such as Python, R, SQL, and Java.
Large Language Models (LLMs) and Generative AI
AI/ML/NLP frameworks and tools
Terraform, GitLab pipelines, and MLOps
PyTorch and statistical modeling
Databricks, Tableau, Power BI
Big Data & Cloud Platforms: Hadoop, Hive, AWS (S3, SageMaker, Redshift), Azure, GCP
Version control and containerization (Git, Docker)
**Education Requirements:**
Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related field; advanced degree preferred.
Minimum of 7 years of experience in data analytics, modeling, machine learning, NLP, and AI technologies within cloud-native environments (AWS, Azure, or Google Cloud).
Ability to obtain and maintain a Public Trust clearance or equivalent clearance if required.
Must have resided in the U.S. continuously for the past two years.
_Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range._
_W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality._
_Please be advised- If anyone reaches out to you about an open position connected with Eliassen Group, please confirm that they have an Eliassen.com email address and never provide personal or financial information to anyone who is not clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact ********************._
_About Eliassen Group:_
_Eliassen Group is a leading strategic consulting company for human-powered solutions. For over 30 years, Eliassen has helped thousands of companies reach further and achieve more with their technology solutions, financial, risk & compliance, and advisory solutions, and clinical solutions. With offices from coast to coast and throughout Europe, Eliassen provides a local community presence, balanced with international reach. Eliassen Group strives to positively impact the lives of their employees, clients, consultants, and the communities in which they operate._
_Eliassen Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status._
_Don't miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!_
Senior Data Scientist - Metrics
Data scientist job in Ann Arbor, MI
May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think.
Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We're building the world's best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we've given more than 300,000 autonomy-enabled rides to real people around the globe. And we're just getting started. We're hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us.
May Mobility is experiencing a period of significant growth as we expand our autonomous shuttle and mobility services nationwide. As we advance toward widespread deployment, the ability to measure safety and comfort objectively, accurately, and at scale is critical. The Senior Data Scientist in this role will shape how we evaluate AV performance, uncover system vulnerabilities, and ensure that every driving decision meets the highest standards of safety and passenger experience. Your work will directly influence product readiness, inform engineering priorities, and accelerate the path to building trustworthy, human-centered autonomous driving systems.
Responsibilities
Develop and refine safety and comfort metrics for evaluating autonomous vehicle performance across real-world and simulation data.
Build ML and non-ML models to detect unsafe, uncomfortable, or anomalous behaviors.
Analyze large-scale drive logs and simulation datasets to identify patterns, regressions, and system gaps.
Collaborate with perception, prediction, behavior, and simulation teams to integrate metrics into workflows.
Communicate insights and recommendations to engineering leaders and cross-functional teams.
Skills
Success in this role typically requires the following competencies:
Strong proficiency in Python, SQL, and data analysis tools (e.g., Pandas, NumPy, Spark).
Strong understanding of vehicle dynamics, kinematics, agent interactions, and road/traffic elements.
Expertise in analyzing high-dimensional or time-series data from sensors, logs, and simulation systems.
Excellent technical communication skills with the ability to clearly present complex model designs and results to both technical and non-technical stakeholders.
Detail-oriented with a focus on validation, testing, and error detection.
Qualifications and Experience
Required
B.S, M.S. or Ph.D. Degree in Engineering, Data Science, Computer Science, Math, or a related quantitative field.
5+ years of experience in data science, applied machine learning, robotics, or autonomous systems.
2+ years working in AV, ADAS, robotics, or another safety-critical domain involving vehicle behavior analysis.
Demonstrated experience developing or evaluating safety and/or comfort metrics for autonomous or robotic systems.
Hands-on experience working with real-world driving logs and/or simulation data.
Desired
Background in motion planning, behavior prediction, or multi-agent interaction modeling.
Experience designing metric-driven development, KPIs, and automated triaging pipelines.
Benefits and Perks
Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate.
Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available.
Rich retirement benefits, including an immediately vested employer safe harbor match.
Generous paid parental leave as well as a phased return to work.
Flexible vacation policy in addition to paid company holidays.
Total Wellness Program providing numerous resources for overall wellbeing
Don't meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we're committed to building a diverse, inclusive, and authentic workforce, so if you're excited about this role but your previous experience doesn't align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May.
Want to learn more about our culture & benefits? Check out our website!
May Mobility is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis. Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary. Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know.
Note to Recruitment Agencies:
May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners.
Salary Range$163,477-$240,408 USD
Auto-ApplyAdvanced Degree Data Scientist - Full-time Intern Conversion
Data scientist job in Lansing, MI
**This FTE conversion requisition is ONLY for 2025 Oracle PD interns to be rehired for full-time roles** Intended for students graduating with their Masters/PhD degree by, or have graduated within, 12 months of cohort start date in June/July 2026.
Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse "big data" sources to generate actionable insights and solutions for client services and product enhancement.
Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.
Duties and tasks are standard with some variation. Completes own role largely independently within defined policies and procedures.
Objective Minimum Qualifications:
To be considered for a Data Scientist position, the Objective Minimum Qualifications (OMQs) below must be met. Please ensure the application clearly indicates that you meet these OMQs.
+ Have graduated with a Graduate degree in Computer Science, Engineering Management, Information Systems Management, Business Analytics, (or an equivalent science/engineering field) within 12 months of actual start date, no later than August 2026.
+ Are proficient (e.g., can complete coding projects without any assistance) in at least one of the following programming languages: Java, C, C++, Python, SQL, JavaScript, R, PHP, Swift, Go, C#, Matlab, Julia, Kotlin
+ Have academic course work, projects, internships, and/or research experience in one or more of the following Computer Science areas:
+ Artificial Intelligence / Machine Learning / Natural Language Processing
+ Big Data / Data Structures / Algorithms
+ Cloud Computing
+ Computer Systems / Distributed Systems /Embedded Systems / Operating Systems
+ Database Systems/Design
+ Object Oriented Design
+ Web/Mobile Development
+ User Interface Design
+ Attend a university in the US.
+ Authorized to work in the US in 2026.
Preferred Qualifications:
+ Minimum 3.0 GPA
**Responsibilities**
Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.
Disclaimer:
**Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.**
**Range and benefit information provided in this posting are specific to the stated locations only**
US: Hiring Range in USD from: $69,000 to $158,200 per annum. May be eligible for bonus and equity.
Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.
Oracle US offers a comprehensive benefits package which includes the following:
1. Medical, dental, and vision insurance, including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
9. 11 paid holidays
10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. Voluntary benefits including auto, homeowner and pet insurance
The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.
Career Level - IC2
**About Us**
As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity.
We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all.
Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_************* or by calling *************** in the United States.
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
Senior Data Scientist
Data scientist job in Lansing, MI
**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.
Actuary, Valuation
Data scientist job in Lansing, MI
**Become a part of our caring community and help us put health first** The Actuary, Valuation is responsible for estimates of short term and long term reserves required for unpaid claim liability, active life reserves, and other actuarial items that ought to be established, appropriate margins, and premium deficiency reserves for monthly, quarterly, and annual financial statement reporting. The Actuary, Valuation works on problems of diverse scope and complexity ranging from moderate to substantial.
The Actuary, Valuation partners with Finance for internal & statutory reporting. Complete asset adequacy testing in support of the Actuarial Opinions and Actuarial Memorandums for the Appointed Actuary. Handles actuarial reserves and risk control aspects of state Department of Insurance examinations, external auditors, and internal auditing of reserves and liabilities. Advises executives to develop functional strategies (often segment specific) on matters of significance. Exercises independent judgment and decision making on complex issues regarding job duties and related tasks, and works under minimal supervision, Uses independent judgment requiring analysis of variable factors and determining the best course of action.
This position will report to an Associate VP in Actuarial Valuation and will have significant exposure to Humana's Appointed Actuary and Senior Leaders throughout the Finance Organization.
**Use your skills to make an impact**
**Required Qualifications**
+ Bachelor's Degree
+ ASA or FSA designation, Member of the American Academy of Actuaries
+ Meets the basic education requirements for issuing statements of actuarial opinion (SOAs)
+ 3 or more years of actuarial work experience
+ Must be passionate about contributing to an organization focused on continuously improving consumer experiences
+ Strong communication skills
+ Ability to translate technical issues for non-Actuarial audiences
**Preferred Qualifications**
+ 5 or more years of relevant health-related actuarial work experience
+ 1 or more years of experience with health insurance valuation topics
+ Independent consulting ability
+ Ability to think holistically through a project
Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.
**Scheduled Weekly Hours**
40
**Pay Range**
The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.
$129,300 - $177,800 per year
This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.
**Description of Benefits**
Humana, Inc. and its affiliated subsidiaries (collectively, "Humana") offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.
Application Deadline: 12-30-2025
**About us**
Humana Inc. (NYSE: HUM) is committed to putting health first - for our teammates, our customers and our company. Through our Humana insurance services and CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health - delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare, Medicaid, families, individuals, military service personnel, and communities at large.
**Equal Opportunity Employer**
It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.
Humana complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our ***************************************************************************
Senior Data Scientist
Data scientist job in Lansing, MI
**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 (***************************************************************************************************************************
Principal Biostatistician
Data scientist job in Lansing, MI
Patients are at the heart of everything we do. As part of our Medical Affairs team, you'll foster internal and external collaboration to generate and disseminate evidence-based clinical practices to help impact patient lives and advance the quality of care. Your scientific curiosity and passion for patients will help us grow our reach and develop innovative solutions for people fighting cardiovascular disease.
Patients with mitral and tricuspid heart valve disease often have complex conditions with limited treatment options. Our Transcatheter Mitral and Tricuspid Therapies (TMTT) business unit is boldly pursuing an innovative portfolio of technologies to address a patient's unmet clinical needs. It's our driving force to help patients live longer and healthier lives. Join us and be part of our inspiring journey.
The Principal Biostatistician will represent the Biostatistics department on all aspects of the clinical development process, ranging from clinical trial designs to regulatory submissions while applying scientific rigor to statistical methods and interpretation of results and also advise on the conduct of clinical studies, database development and data quality assurance with the analysis of clinical endpoints in mind.
**How you will make an impact:**
+ Statistical lead on one or more clinical trials, lead the coordination of analyses for study report and other documents and provide programming and validation support of these analyses
+ Collaborate with core stakeholders to provide statistical expertise in support of new product development (NPD) and/or regulatory submissions (e.g., PMA, CE Mark, PMDA) and other regulatory documents as needed
+ Represent Biostatistics on project/study teams and coordinate/communicate with management and other team members regarding project/study status and timeline update
+ Provide statistical expertise on ad hoc data analysis requests and publication/presentation efforts related to the project team
+ Compile technical documents for internal and external audits
+ Contribute to the improvement, standardization, and globalization of Biostatistics processes and procedures, including the development of Biostatistics Standard Operating Procedures (SOPs) and Work Instruction Manuals (WIMs) Collaborate on developing case report forms and clinical database to ensure quality data collection
+ Lead the efforts of data analysis for data monitoring committee as needed
**What you'll need (Required):**
+ Ph.D. or equivalent in Statistics, Biostatistics, or related field, 2 years' experience
**What else we look for (Preferred):**
+ Training or publications in Bayesian methodology
+ Expertise in MS Office (Word, PowerPoint, Access, Excel)
+ Strong written/verbal communication and relationship management skills
+ Up-to-date on statistical and regulatory developments
+ Deep knowledge of clinical trial design, statistical modeling, and data analysis
+ Proficient in SAS; experience with R, S-Plus
+ Thorough understanding of regulatory guidelines (GCP, ICH, FDA, ISO) for pharma/medical devices
+ Excellent problem-solving, analytical, and critical thinking skills
+ Proven leadership and ability to influence change
+ Skilled in training/coaching and facilitating organizational change
+ Detail-oriented; able to manage competing priorities in fast-paced environments
+ Professional interaction across all levels; collaborative team player and consultant to management
Aligning our overall business objectives with performance, we offer competitive salaries, performance-based incentives, and a wide variety of benefits programs to address the diverse individual needs of our employees and their families.
For California (CA), the base pay range for this position is $129,000 to $182,000 (highly experienced).
The pay for the successful candidate will depend on various factors (e.g., qualifications, education, prior experience). Applications will be accepted while this position is posted on our Careers website.
Edwards is an Equal Opportunity/Affirmative Action employer including protected Veterans and individuals with disabilities.
**COVID Vaccination Requirement**
Edwards is committed to protecting our vulnerable patients and the healthcare providers who are treating them. As such, all patient-facing and in-hospital positions require COVID-19 vaccination. If hired into a covered role, as a condition of employment, you will be required to submit proof that you have been vaccinated for COVID-19, unless you request and are granted a medical or religious accommodation for exemption from the vaccination requirement. This vaccination requirement does not apply in locations where it is prohibited by law to impose vaccination.
Data Annotator Intern
Data scientist job in Owosso, MI
The accurate reporting of our members' device activity is at the very center of our service delivery. Covenant Eyes' core product leverages Machine Learning to analyze images and flag pornographic or highly sensitive content, which is then reported to an accountability partner. To achieve this, we rely on a skilled team composed of Data Scientists, Developers, and Data Annotators.
The Data Annotator Intern at Covenant Eyes plays a crucial role in helping us build cutting-edge AI and machine learning models. The Data Annotator Intern will gain hands-on experience in annotating and labeling various types of data, working closely with our expert data science team. This internship offers a unique opportunity to learn about the development and assessment of AI models, while contributing to exciting projects that have real-world impact.
Successful completion of this internship may lead to consideration for full-time employment opportunities, such as a Data Annotator Level I, based on individual performance and business needs. This internship does not guarantee an offer of full-time employment. (Please note - successful completion of a Data Annotator Internship is a requirement to be considered for a full-time Data Annotator I position).
Responsibilities
Work and communicate about work with the highest ethics and discretion, recognizing that user privacy is of highest priority.
Communicate regularly and openly with the Data Science Development Manager and Data Annotation Team Lead about mental/emotional state so that proactive support can be given as needed.
Annotate and label large datasets with relevant tags, descriptions, or categories in accordance with project requirements.
Review and validate annotated data to ensure accuracy and consistency.
Identify and report any inconsistencies or errors in the data.
Collaborate with data scientists and other data annotation specialists to understand project requirements.
Collaborate with cross-functional teams, including software engineers, data scientists, and quality assurance analysts to improve datasets and models.
Participate in quality control processes to ensure high-quality annotations.
Work efficiently to meet project deadlines and deliver high-quality annotated data.
Communicate with clarity and excellence in both written and verbal communication. Excellent communication in this context requires professional, grammatically correct writing and clear, articulate speech. It also requires proficient typing.
Qualifications
Understands the dangers of pornography and the ability of transparent relationships to help in the fight against it.
Has maintained strict confidentiality and adherence to ethical guidelines in previous roles when handling sensitive, personal, or explicit media, demonstrating a commitment to data privacy and professional conduct.
Demonstrated resilience and the ability to maintain emotional detachment when working with challenging or sensitive content, ensuring consistent objectivity and quality of work.
Consistently demonstrates professionalism and respect for diverse viewpoints in all interactions and collaborations.
Proven track record of being highly organized and detail-oriented, with excellent time management skills to consistently meet deadlines.
Successfully applies analytical and critical thinking skills to solve problems and make informed decisions in a professional work setting.
Familiarity of data quality and accuracy principles.
Excellent collaboration and communication, both written and verbal, skills.
Familiarity with Microsoft Outlook and Office suites or similar software programs.
The majority of your time will be spent at a desk using a phone, computer and monitor, and general office equipment. You may be required to reach with hands and arms; sit; stand; talk and hear; use your hands to finger, handle, or feel.
Auto-ApplyPost-Retirement Actuary
Data scientist job in Lansing, MI
Public Consulting Group LLC (PCG) is a leading public sector solutions implementation and operations improvement firm that partners with health, education, and human services agencies to improve lives. Founded in 1986, PCG employs approximately 2,000 professionals throughout the U.S.-all committed to delivering solutions that change lives for the better. The firm is a member of a family of companies with experience in all 50 states, and clients in three Canadian provinces and Europe. PCG offers clients a multidisciplinary approach to meet challenges, pursue opportunities, and serve constituents across the public sector. To learn more, visit ***************************** .
**Duties and Responsibilities**
+ Supports Actuarial Analysis and Financial Modeling
+ Develops OPEB Reports
+ Evaluate actuarial programs and makes recommendations for improvements.
+ Analyzes and interprets federal and state law and regulation.
+ Assesses best practices and provide technical assistance to clients.
+ Manages small projects, staff and tasks with limited supervision while meeting and exceeding performance expectations.
+ Facilitates client discussions.
+ Manages daily project functions and client interaction.
+ Support proposal writing teams for responses related to actuarial services
+ Prepares other written reports and materials for clients.
**Required Skills**
+ Strong quantitative skills and able to analyze and interpret financial data.
+ Ability to research, analyze and interpret policy, legal briefs and regulations.
+ Able to work independently and consistently achieve excellent results.
+ Able to work effectively with all members of project teams.
+ Outstanding oral and written presentation skills
+ Demonstrated initiative and the ability to successfully identify new business opportunities and up-sell to existing customers.
**Qualifications**
+ Bachelor degree or ten years experience required, graduate degree preferred
+ ASA or FSA credentials with OPEB and retiree experience
+ Minimum 5 years' relevant work experience.
**Working Conditions**
+ Remote
+ Some travel required
**The above is intended to describe the general contents and requirements of work being performed by people assigned to this classification. It is not intended to be construed as an exhaustive statement of all duties, responsibilities or skills of personnel so classified.**
**PCG does not sponsor newly hired foreign national workers for work authorization, including H-1B sponsorship** .
\#LI
\#LI-LR1
\#LI-remote
**Compensation:**
Compensation for roles at Public Consulting Group varies depending on a wide array of factors including, but not limited to, the specific office location, role, skill set, and level of experience. As required by applicable law, PCG provides a reasonable range of compensation for this role. In addition, PCG provides a range of benefits for this role, including medical and dental care benefits, 401k, PTO, parental leave, bereavement leave.
**As required by applicable law, PCG provides the following reasonable range of compensation for this role: $78,300-$121,800. In addition, PCG provides a range of benefits for this role, including medical and dental care benefits, 401k, PTO, parental leave, bereavement leave.**
PCG does not sponsor newly hired foreign national workers for work authorization, including H-1B sponsorship.
**EEO Statement:**
Public Consulting Group is an Equal Opportunity Employer dedicated to celebrating diversity and intentionally creating a culture of inclusion. We believe that we work best when our employees feel empowered and accepted, and that starts by honoring each of our unique life experiences. At PCG, all aspects of employment regarding recruitment, hiring, training, promotion, compensation, benefits, transfers, layoffs, return from layoff, company-sponsored training, education, and social and recreational programs are based on merit, business needs, job requirements, and individual qualifications. We do not discriminate on the basis of race, color, religion or belief, national, social, or ethnic origin, sex, gender identity and/or expression, age, physical, mental, or sensory disability, sexual orientation, marital, civil union, or domestic partnership status, past or present military service, citizenship status, family medical history or genetic information, family or parental status, or any other status protected under federal, state, or local law. PCG will not tolerate discrimination or harassment based on any of these characteristics. PCG believes in health, equality, and prosperity for everyone so we can succeed in changing the ways the public sector, including health, education, technology and human services industries, work.
Public Consulting Group is an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity, protected veteran status, or status as a qualified individual with a disability. VEVRAA Federal Contractor.
Actuary - Dental & Vision
Data scientist job in Lansing, MI
At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care. As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.
We are looking for Actuarial Manager for Commercial Dental and Vision Business to provide actuarial support and strategic leadership.
The Actuarial Manager responsibilities include:
- Leads Dental and Vision pricing and valuation decisions that cover Individual and Small Group segments and all local markets across the nation
- Works cross-functionally across the Dental and Vision organization, with responsibilities including pricing, experience studies, rate filings, rating tools, product development analysis, network support, underwriting support, planning, forecasting, and reporting
- Influences business partners including Underwriting, Sales, Network, Finance, Operation and Product to focus efforts and achieve hard-to-achieve goals.
**Required Qualifications**
- Bachelor's degree along with a minimum of 3+ years of prior Commercial pricing/rating system/forecasting experience
- ASA required
- Strong technical, analytical, and financial skill
- Strong communication skills and ability to work cross functionally
**Preferred Qualifications**
- FSA preferred, but not required
- Prior Dental or Vision experience preferred, but not required
**Education**
Bachelor's degree or equivalent experience
**Anticipated Weekly Hours**
40
**Time Type**
Full time
**Pay Range**
The typical pay range for this role is:
$92,700.00 - $203,940.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
**Great benefits for great people**
We take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:
+ **Affordable medical plan options,** a **401(k) plan** (including matching company contributions), and an **employee stock purchase plan** .
+ **No-cost programs for all colleagues** including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
+ **Benefit solutions that address the different needs and preferences of our colleagues** including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.
For more information, visit *****************************************
We anticipate the application window for this opening will close on: 01/30/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
We are an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
Filenet or Datacap consultant - EAD or GC or CITIZENS
Data scientist job in Lansing, MI
USM Business Systems Inc. is a quickly developing worldwide System Integrator, Software and Product Development, IT Outsourcing and Technology assistance supplier headquartered in Chantilly, VA with off-shore delivery centers in India. We offer world-class ability in giving most astounding quality and administrations through industry best practices planned to convey remarkable worth to our customers.
Utilizing our industry knowledge, administration service offering expertise and innovation abilities, we distinguish new business and innovation slants and create answers for help customers around the globe, giving top of the line solid and practical IT benefits which are cost effective services.
Established in 1999, the organization has corner qualities in building and dealing with a Business Oriented IT environment with rich involvement in technology innovation, ERP and CRM counselling, Product Engineering, Business Intelligence, Data Management, SOA, BPM, Data Warehousing, SharePoint Consulting and IT Infrastructure. Our other offerings include modified solutions and administrations in ERP, CRM, Enterprise architecture, offshore advisory services ,e-commerce, Social , Mobile, Cloud, Analytics (SMAC) and DevOps.
USM, a US ensured Minority Business Enterprise (MBE) is perceived as one of the fastest developing IT Systems Integrator in the Washington, DC zone. Most as of late, USM was positioned #9 on the rundown of the Top administrations organizations in the DC Metro Area - Washington Business Journal (2011). We are a project-driven firm that reliably meets the IT needs of our State and Government customers through development and business keenness.
Job Description
Filenet or Datacap consultant - EAD or GC or CITIZENS
Duration: 12 months plus
Location: Lansing, MI
TOP SKILLS:
FileNet/DataCap
Application Development
Communication
Navya
*********************
************
Additional Information
If you are interested in the below position please forward your profile to navyar@usmsystems(dot)com or call me on ************
Easy ApplySenior Data Engineer - Real-Time Data & Visualization Focus
Data scientist job in Lansing, MI
*****CANDIDATE MUST BE US Citizen (due to contractual/access requirements)***** available within the U.S.** In this role, you will be a key contributor to our data infrastructure, responsible for the design, development, and maintenance of efficient, reliable, and high-quality data flow and storage. Your expertise will drive real-time data ingestion and transformation processes, structuring data from diverse sources using Cloud platforms (Azure, GCP, AWS), Databases (BigQuery, Azure Data Explorer), and streaming technologies like Cribl, Kafka, and Azure Event Hubs. A primary responsibility will be creating impactful visualizations and dashboards for internal and enterprise reporting, leveraging tools like Power BI and Tableau to translate business needs into actionable insights. This role requires strong proficiency in scripting/query languages (KQL, SQL, Python, JavaScript) and strong skills in building and optimizing data pipelines, ensuring data quality and integrity throughout the data lifecycle.
**ESSENTIAL RESPONSIBILITIES**
+ Design, develop, and maintain robust data processes and solutions to ensure the efficient movement and transformation of data across multiple systems
+ Develop and maintain data models, databases, and data warehouses to support business intelligence and analytics needs
+ Collaborate with stakeholders across IT, product, analytics, and business teams to gather requirements and provide data solutions that meet organizational needs
+ Monitor work against production schedule,provide progress updates, and report any issues or technical difficulties to lead developers regularly
+ Implement and manage data governance practices, ensuring data quality, integrity, and compliance with relevant regulations.
+ Collaborate on the design and implementation of data security measures, including access controls, encryption, and data masking
+ Mentor other associate and intermediate data engineers as needed
+ Perform data analysis and provide insights to support decision-making across various departments
+ Stay current with industry trends and emerging technologies in data engineering, recommending new tools and best practices as needed
+ Other duties as assigned or requested.
**EXPERIENCE**
**Required**
+ 5 years of experience in design and analysis of algorithms, data structures, and design patterns in the building and deploying of scalable, highly available systems
+ 5 years of experience in a data engineering, ETL development, or data management role.
+ 5 years of experience in SQL and experience with database technologies (e.g., MySQL, PostgreSQL, MongoDB).
+ 5 years of experience in data warehousing concepts and experience with data warehouse solutions (e.g., Snowflake, Redshift, BigQuery)
**Preferred**
+ 7 years of experience with data pipeline and workflow management tools (e.g., Apache Airflow, AWS Glue, Azure Data Factory).
+ 7 years of experience defining system architectures and exploring technical feasibility trade-offs for optimizing short term execution while planning for long term technical capabilities
+ 7 years of experience working with a variety of technology systems, designing solutions or developing data solutions in healthcare
+ 7 years of experience with cloud platforms (AWS, Azure, GCP) and their respective data services
+ 7 years of experience in data governance, data quality, and data security best practices
+ 7 years of experience translating requirements, design mockups, prototypes or user stories into technical designs
+ 7 years of experience in producing data-related code that is fault-tolerant, efficient, and maintainable
+ 7 years of experience structuring and transforming data from multiple source systems.
+ 7 years of experience creating data visualizations and dashboards using Power BI or Tableau for internal and external audiences.
+ 7 years of experience using Cribl as a steaming and transformation solution.
**SKILLS**
+ Demonstrated ability to achieve stretch goals in a highly innovative and fast-paced environment
+ Adaptability: Strong ability to take on diverse tasks and projects, adapting to the evolving needs of the organization
+ Analytical Thinking: Strong analytical skills with a focus on detail and accuracy
+ Interest and ability to learn other data development technologies/languages as needed
+ Technical Proficiency: Comfortable with a range of data tools and technologies, with a willingness to learn new skills as needed
+ Strong track record in designing and implementing large-scale data sources
+ Strong sense of ownership, urgency, and drive
+ Demonstrated passion for user experience and improving usability
+ Team Collaboration: A team player who can work effectively in cross-functional environments
+ Experience and willingness to mentor junior data engineers and help develop their skills and leadership
**EDUCATION**
**Required**
+ Bachelor's degree in Computer Science, Information Systems, Data Science, Computer Engineering or related field
**Preferred**
+ Master's degree in Computer Science, Information Systems, Data Science, Computer Engineering or related field
**LICENSES or CERTIFICATIONS**
**Required**
+ None
**Preferred**
+ None
**Language (Other than English):**
None
**Travel Requirement:**
0% - 25%
**PHYSICAL, MENTAL DEMANDS and WORKING CONDITIONS**
**Position Type**
Office- or Remote-based
Teaches / trains others
Occasionally
Travel from the office to various work sites or from site-to-site
Rarely
Works primarily out-of-the office selling products/services (sales employees)
Never
Physical work site required
No
Lifting: up to 10 pounds
Constantly
Lifting: 10 to 25 pounds
Occasionally
Lifting: 25 to 50 pounds
Rarely
**_Disclaimer:_** _The job description has been designed to indicate the general nature and essential duties and responsibilities of work performed by employees within this job title. It may not contain a comprehensive inventory of all duties, responsibilities, and qualifications required of employees to do this job._
**_Compliance Requirement_** _: This job adheres to the ethical and legal standards and behavioral expectations as set forth in the code of business conduct and company policies._
_As a component of job responsibilities, employees may have access to covered information, cardholder data, or other confidential customer information that must be protected at all times. In connection with this, all employees must comply with both the Health Insurance Portability Accountability Act of 1996 (HIPAA) as described in the Notice of Privacy Practices and Privacy Policies and Procedures as well as all data security guidelines established within the Company's Handbook of Privacy Policies and Practices and Information Security Policy._
_Furthermore, it is every employee's responsibility to comply with the company's Code of Business Conduct. This includes but is not limited to adherence to applicable federal and state laws, rules, and regulations as well as company policies and training requirements._
**Pay Range Minimum:**
$78,900.00
**Pay Range Maximum:**
$147,500.00
_Base pay is determined by a variety of factors including a candidate's qualifications, experience, and expected contributions, as well as internal peer equity, market, and business considerations. The displayed salary range does not reflect any geographic differential Highmark may apply for certain locations based upon comparative markets._
Highmark Health and its affiliates prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibit discrimination against all individuals based on any category protected by applicable federal, state, or local law.
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California Consumer Privacy Act Employees, Contractors, and Applicants Notice
Req ID: J273322