Data engineer jobs in Indianapolis, IN

** 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 and WD_BLACK 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 ****************** .

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. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 11. 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) 12. 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 13. Experience working effectively with and leading complex analytics projects across multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance 14. Experience with predictive modeling, machine learning, and experimentation/causal inference methods 15. Experience communicating complex technical topics in a clear, precise, and actionable manner **Preferred Qualifications:** Preferred Qualifications: 16. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy 17. Masters or Ph.D. Degree in a quantitative field 18. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research) 19. 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.

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 (**************************************** .

Apply DATA SCIENTIST Department of Defense Defense Finance and Accounting Service ENTERPRISE SOLUTIONS AND STANDARDS (JJEE) Apply Print Share * * * * Save * This job is open to * Requirements * How you will be evaluated * Required documents * How to apply Summary Defense Finance and Accounting Services (DFAS) mission is to lead the Department of Defense (DoD) in finance and accounting by ensuring the delivery of efficient, exceptional quality pay and financial information. Summary Defense Finance and Accounting Services (DFAS) mission is to lead the Department of Defense (DoD) in finance and accounting by ensuring the delivery of efficient, exceptional quality pay and financial information. Overview Help Accepting applications Open & closing dates 12/18/2025 to 12/24/2025 Salary $124,531 to - $169,039 per year To view pay rates in a specific location visit the OPM pay tables at ******************************************************************* Pay scale & grade GS 14 Locations 1 vacancy in the following locations: Indianapolis, IN Limestone, ME Rome, NY Cleveland, OH Show morefewer locations (1) Columbus, OH Remote job No Telework eligible No Travel Required 25% or less - You may be expected to travel for this position. Relocation expenses reimbursed Yes-You may qualify for reimbursement of relocation expenses in accordance with agency policy. Appointment type Permanent Work schedule Full-time Service Competitive Promotion potential None Job family (Series) * 1560 Data Science Series Supervisory status No Security clearance Secret Drug test No Position sensitivity and risk Critical-Sensitive (CS)/High Risk Trust determination process * National security Financial disclosure No Bargaining unit status Yes Announcement number DFAS-DHA-ML-12855027-26 Control number 852745700 This job is open to Help The public U.S. Citizens, Nationals or those who owe allegiance to the U.S. Clarification from the agency This announcement is open to all U.S. Citizens. Duties Help * Uses expert knowledge of and the application of data analytics, statistical analysis, modeling/simulation, and/or other scientific principles, methods, and techniques. * Demonstrates sufficient knowledge in the areas of business needs, domain knowledge, analytical skills, and software and systems engineering to manage the end-to end data processes in the data life cycle. * Builds analytical, econometric and/or statistical models for various problems inclusive of projections, classification, clustering, pattern analysis, sampling, simulations, etc. * Generates actionable insights applying advanced statistical techniques, for example, predictive statistical models and simulations, segmentation analysis, customer profiling, analysis, survey design, and data mining. * Collaborates with other data analytics team members to communicate obstacles and findings to relevant stakeholders in an effort to improve decision-making and drive business performance. * Conducts a thorough and rigorous security impact analysis for all DFAS data analytics. * Participates in meetings, conferences, briefings, and seminars related to data analytics program planning, technologies, and support system concepts. Requirements Help Conditions of employment * Must be a U.S. Citizen or National * Background or Security Investigation - see the Additional Information field below for more details. * Registered for Selective Service (males born after 12-31-1959) * Suitable for Federal employment * Obtain/Maintain Financial Management Certification * New employees to the Defense Finance and Accounting Service will be required to successfully pass the E-Verify employment verification check. To learn more about E-Verify, including your rights and responsibilities, visit e-verify.gov. * The incumbent of this position will be required to be physically on-site full-time, regular telework is not authorized for this position. Qualifications This position is being filled under the Direct Hire Authority for Certain Personnel of the Department of Defense via delegated authority by the Office of the Secretary of Defense. We reserve the right to close this announcement early or to extend, as appropriate, based upon the needs of the Agency. Qualified application packages may be referred to management at various points in the selection process depending on the number and timing of applications received. Selections may be made at any point during the announcement open period. This position has a positive education requirement. To qualify for this position you must meet one of the basic requirements described below: A. Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. OR B. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience. You need to send proof of education or of certification to be considered for this position. Click here for more information on who must submit documentation at the time of application and what documentation is acceptable: Transcripts and Certifications. In addition to meeting the basic requirement, qualified applicants must possess one year of specialized experience equivalent in level of difficulty and responsibility to that of the next lower grade (GS-13) in the Federal service, which demonstrates the ability to perform the duties of the position. Specialized Experience is defined as: Developing data models for evaluation, identification, collection, and analysis of all data used to support projects or programs; selecting the appropriate data collection techniques for program analysis from various sources; collecting and analyzing data, and displaying data for analysis to draw conclusions. Volunteer Experience: Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual, community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates to paid employment. You will receive credit for all qualifying experience, including volunteer experience. You may qualify for consideration if meeting specialized experience, education requirement, 90 days after competitive appointment requirement, and all other qualification requirements within 30 calendar days after the closing date of the announcement, unless otherwise indicated on the announcement. Education Education requirements are listed in the Qualifications section above. Additional information * Moving expenses may be paid. * Telework availability is limited and will only be provided on a rare case-by-case basis during situations where Agency Leadership has determined that telework serves a compelling DoD need. * Selections are subject to restrictions resulting from the DoD Program for Stability of Civilian Employment. * As a condition of employment, you may be required to serve a 1-year probationary period during which we'll evaluate whether your continued employment advances the public interest. The evaluation will consider: your performance and conduct; the needs and interests of the agency; whether your continued employment advances agency or governmental goals; and whether your continued employment advances the efficiency of the Federal service. At the end of the probationary period, your employment will be terminated unless you receive certification that your continued employment advances the public interest. * We may use this announcement to fill additional vacancies within 90 days of the closing date. * Travel requirement is seldom 1-24% * This position is covered by a bargaining unit. * Veteran's Preference: Veteran's preference does not apply under this Direct Hire Authority (DHA). * This position is being filled under the Direct Hire Authority for Certain Personnel of the Department of Defense via delegated authority by the Office of the Secretary of Defense. Positions may be filled as permanent or term with a full-time or part-time work schedule. Pay will vary by geographic location. We reserve the right to close this announcement early or to extend, as appropriate, based upon the needs of the Agency. Qualified application packages may be referred to management at various points in the selection process depending on the number and timing of applications received. Selections may be made at any point during the announcement open period. * Retired Civil Service Employee: Employment of retired Federal employees receiving an annuity is subject to the requirements of the Department of Defense (DoD) policy guidance. (See DoD Instruction 1400.25, Volume 300, here). * The Security Designation will vary and dependent upon position and may require a secret clearance or higher. Employment in this position requires a background investigation which may delay starting date. If you are selected and cannot obtain a favorable security determination within a reasonable period of time due to disclosed/undisclosed background issues, the employment offer may be withdrawn. Individuals selected are required to obtain/maintain a favorable security determination to occupy a sensitive position within the agency as a condition of employment. Failure to maintain eligibility to occupy a sensitive position may result in termination. For more information see the security section of Understanding Vacancy Announcements. * Criminal History Inquiries- For some positions, criminal history inquiries may not take place before you receive a conditional job offer. Please see Fair Chance to Compete for Jobs Act of 2019 (dfas.mil) for more information on The Fair Chance to Compete Act, exceptions, and DFAS contact information. * Pay for first time hires to the Federal Government will typically be set at step 1 salary range for their respective grade level. * All applicants are encouraged to apply electronically. If you are unable to apply on-line, you may contact ************ for assistance. Expand Hide additional information Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution. Benefits Help A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new window Learn more about federal benefits. Review our benefits Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered. How you will be evaluated You will be evaluated for this job based on how well you meet the qualifications above. IMPORTANT NOTE - YOU MUST FOLLOW ALL APPLICATION INSTRUCTIONS CAREFULLY. ERRORS OR OMISSIONS MAY AFFECT YOUR RATING. You will be evaluated on how well your qualifications, as demonstrated in your application materials (e.g., resume, supporting documents) and your responses on the application, meet the requirements listed in this vacancy announcement. DFAS recognizes the value of competencies gained through formal education and professional certifications. To ensure that consistent credit is given for these credentials in the selection process, DFAS has developed standard selection criteria to be used when filling positions in professional and administrative series. Selections for professional and administrative positions will be based on four categories of selection criteria: Experience, Other, Education, and Certifications. Benefits Help A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new window Learn more about federal benefits. Review our benefits Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered. Required documents Required Documents Help You must provide a complete Application Package which includes: 1. Resume: A two-page maximum resume is required. Applicant guidance on the two-page resume requirement may be found at **************************************************************************************************************************************** or at ******************************************************************** Your resume must demonstrate the quality of your work as it relates to the experience requirements outlined in the job announcement. 2. Transcripts and/or Certifications: All applicants to include current agency employees, must submit proof of education if the job announcement requires education to meet the basic qualification requirements, or if substituting education to meet the specialized experience requirements. For additional information on acceptable documents, click here Transcripts and Certifications. All applicants to include current agency employees/contractors must also document your education and/or certifications in your resume. To be creditable, education must have been obtained in an accredited college or university recognized by the U.S. Department of Education. Other Supporting Documents. The following supporting documents are ONLY required if applicable to your personal qualifications or status. They must be received by the closing date of the announcement 1. SF-50: Current and former federal employees, including those currently working for the agency, must submit their SF-50 (Notification of Personnel Action) reflecting their highest grade held on a permanent basis for at least 52 weeks, tenure, and appointment type. Failure to provide this document may result in disqualification. 2. Cover Letter: You may submit a cover letter which will be forwarded to the selecting official with your resume. Your cover letter will not be used to verify your qualifications or eligibility. 3. Military Spouse Preference (MSP) Eligible: Military Spouse Preference applicants, must be selected and placed at the highest grade level for which they have applied and been determined best qualified up to and including the full performance level. You must include a completed copy of the Military Spouse PPP Self-Certification Checklist dated within 30 days along with the documents identified on the checklist to verify your eligibility for Military Spouse Preference. Click here to obtain a copy of the Military Spouse PPP Self-Certification Checklist. 4. Military Reserve (MR) and National Guard (NG) Technicians PPP Eligible: MR and NG technicians PPP applicants must be selected and placed at the full performance level if determined well qualified. You must include a completed copy of the Military Reserve and National Guard Technician PPP Self-Certification Checklist to verify your eligibility for Military Reserve and National Guard Technician preference. Click here to obtain a copy of the Military Reserve and National Guard Technician PPP Self-Certification Checklist. 5. Military Reserve (MR) and National Guard (NG) Technicians Receiving Disability Retirement PPP Eligible: MR and NG technicians receiving disability retirement PPP applicants must be selected and placed at the full performance level if determined well qualified. You must include a completed copy of the Military Reserve and National Guard Technician Disability PPP Self-Certification Checklist to verify your eligibility for Military Reserve and National Guard Technician Disability preference. Click here to obtain a copy of the Military Reserve and National Guard Technician Disability PPP Self-Certification Checklist. 6. Retained Grade PPP Eligible: Retained Grade PPP applicants, must be selected and placed at the full performance level if determined well qualified. You must include a completed copy of the Retained Grade PPP Self-Certification Checklist to verify your eligibility for Retained Grade preference. Click here to obtain a copy of the Retained Grade PPP Self-Certification Checklist. WARNING: Failure to submit a complete application package including any required documentation by 11:59 PM (EST) , 12/24/2025 or at the time of application for announcements with an extended closing date, may result in an ineligible rating and loss of consideration. To verify that your application is complete, log into your USAJOBS account, select Application Status and More Information. The Details page will display the status of your application. It is the applicant's responsibility to verify that information entered, uploaded, or faxed is received, legible and accurate. HR will not modify answers submitted by an applicant. If you are relying on your education to meet qualification requirements: Education must be accredited by an accrediting institution recognized by the U.S. Department of Education in order for it to be credited towards qualifications. Therefore, provide only the attendance and/or degrees from schools accredited by accrediting institutions recognized by the U.S. Department of Education. Failure to provide all of the required information as stated in this vacancy announcement may result in an ineligible rating or may affect the overall rating. How to Apply Help To apply for this position, you must provide a complete Application Package. See required documents below. Click 'Apply Online' to create an account or log in to your existing USAJOBS account. 1. Follow the prompts to complete the application and upload required documents. 2. Please ensure you click the Submit My Answers button to submit your application. 3. Check application status by logging into your USAJOBS account, clicking Application Status, then More Information for this position. Return to an incomplete application by logging into your USAJOBS account and clicking Update Application in the vacancy announcement. You must re-select your resume and other documents from your USAJOBS account or your application will be incomplete. Agency contact information HR Customer Care Center Phone ************** Email ************************************************ Address DFAS - ENTERPRISE SOLUTIONS AND STANDARDS 8899 E. 56th Street Indianapolis, IN 46249 US Next steps The resume you submit will be used to assess your qualifications for the job and to identify the best-qualified applicants to be referred to the hiring manager for further consideration and possible interviews. We will notify you of the outcome after each of these steps is completed. After making a tentative job offer, we will conduct a suitability/security background investigation.. Fair and transparent The Federal hiring process is set up to be fair and transparent. Please read the following guidance. Criminal history inquiries Equal Employment Opportunity (EEO) Policy Financial suitability New employee probationary period Privacy Act Reasonable accommodation policy Selective Service Signature and false statements Social security number request Required Documents Help You must provide a complete Application Package which includes: 1. Resume: A two-page maximum resume is required. Applicant guidance on the two-page resume requirement may be found at **************************************************************************************************************************************** or at ******************************************************************** Your resume must demonstrate the quality of your work as it relates to the experience requirements outlined in the job announcement. 2. Transcripts and/or Certifications: All applicants to include current agency employees, must submit proof of education if the job announcement requires education to meet the basic qualification requirements, or if substituting education to meet the specialized experience requirements. For additional information on acceptable documents, click here Transcripts and Certifications. All applicants to include current agency employees/contractors must also document your education and/or certifications in your resume. To be creditable, education must have been obtained in an accredited college or university recognized by the U.S. Department of Education. Other Supporting Documents. The following supporting documents are ONLY required if applicable to your personal qualifications or status. They must be received by the closing date of the announcement 1. SF-50: Current and former federal employees, including those currently working for the agency, must submit their SF-50 (Notification of Personnel Action) reflecting their highest grade held on a permanent basis for at least 52 weeks, tenure, and appointment type. Failure to provide this document may result in disqualification. 2. Cover Letter: You may submit a cover letter which will be forwarded to the selecting official with your resume. Your cover letter will not be used to verify your qualifications or eligibility. 3. Military Spouse Preference (MSP) Eligible: Military Spouse Preference applicants, must be selected and placed at the highest grade level for which they have applied and been determined best qualified up to and including the full performance level. You must include a completed copy of the Military Spouse PPP Self-Certification Checklist dated within 30 days along with the documents identified on the checklist to verify your eligibility for Military Spouse Preference. Click here to obtain a copy of the Military Spouse PPP Self-Certification Checklist. 4. Military Reserve (MR) and National Guard (NG) Technicians PPP Eligible: MR and NG technicians PPP applicants must be selected and placed at the full performance level if determined well qualified. You must include a completed copy of the Military Reserve and National Guard Technician PPP Self-Certification Checklist to verify your eligibility for Military Reserve and National Guard Technician preference. Click here to obtain a copy of the Military Reserve and National Guard Technician PPP Self-Certification Checklist. 5. Military Reserve (MR) and National Guard (NG) Technicians Receiving Disability Retirement PPP Eligible: MR and NG technicians receiving disability retirement PPP applicants must be selected and placed at the full performance level if determined well qualified. You must include a completed copy of the Military Reserve and National Guard Technician Disability PPP Self-Certification Checklist to verify your eligibility for Military Reserve and National Guard Technician Disability preference. Click here to obtain a copy of the Military Reserve and National Guard Technician Disability PPP Self-Certification Checklist. 6. Retained Grade PPP Eligible: Retained Grade PPP applicants, must be selected and placed at the full performance level if determined well qualified. You must include a completed copy of the Retained Grade PPP Self-Certification Checklist to verify your eligibility for Retained Grade preference. Click here to obtain a copy of the Retained Grade PPP Self-Certification Checklist. WARNING: Failure to submit a complete application package including any required documentation by 11:59 PM (EST) , 12/24/2025 or at the time of application for announcements with an extended closing date, may result in an ineligible rating and loss of consideration. To verify that your application is complete, log into your USAJOBS account, select Application Status and More Information. The Details page will display the status of your application. It is the applicant's responsibility to verify that information entered, uploaded, or faxed is received, legible and accurate. HR will not modify answers submitted by an applicant. If you are relying on your education to meet qualification requirements: Education must be accredited by an accrediting institution recognized by the U.S. Department of Education in order for it to be credited towards qualifications. Therefore, provide only the attendance and/or degrees from schools accredited by accrediting institutions recognized by the U.S. Department of Education. Failure to provide all of the required information as stated in this vacancy announcement may result in an ineligible rating or may affect the overall rating.

Are you ready to be part of a company that's not just talking about the future, but actively shaping it? Join The AES Corporation (NYSE: AES), a Fortune 500 company that's leading the charge in the global energy revolution. With operations spanning 14 countries, AES is committed to shaping a future through innovation and collaboration. Our dedication to innovation has earned us recognition as one of the Top Ten Best Workplaces for Innovators by Fast Company in 2022. And with our certification as a Great Place to Work, you can be confident that you're joining a company that values its people just as much as its groundbreaking ideas. AES is proudly ranked #1 globally in renewable energy sales to corporations, and with $12.7B in revenues in 2023, we have the resources and expertise to make a significant impact as we provide electricity to 25 million customers worldwide. As the world moves towards a net-zero future, AES is committed to meeting the Paris Agreement's goals by 2050. Our innovative solutions, such as 24/7 carbon-free energy for data centers, are setting the pace for rapid, global decarbonization. If you're ready to be part of a company that's not just adapting to change, but driving it, AES is the place for you. We're not just building a cleaner, more sustainable future - we're powering it. Apply now and energize your career with a true leader in the global energy transformation. Position Summary The Data Scientist will support AES's US Utilities operations by applying data science techniques to improve grid reliability, customer experience, and operational efficiency. This entry-level role is ideal for candidates passionate about solving real-world energy challenges through data exploration, predictive modeling, and cross-functional collaboration. You'll work alongside our team of experienced data scientists, data analysts, data architects and engineers, and data governance experts to deliver insights that drive smarter decisions and accelerate the future of energy. Key Responsibilities * Work cross-functionally within the team of data scientists, data architects & engineers, machine learning engineers, data analysts, and data governance experts to support integrated data solutions. * Collaborate with business stakeholders and business analysts to define project requirements. * Collect, clean, and preprocess structured and unstructured data from utility systems (e.g., meter data, customer data). * Perform exploratory data analysis to identify trends, anomalies, and opportunities for improvement in grid operations and customer service. * Use both traditional machine learning methods and generative AI tools to create predictive models that solve utilities-focused problems, particularly in the customer space (e.g., outage restoration, customer program adoption, revenue assurance). * Present data-driven insights to internal stakeholders in a clear, concise manner, including visualizing data to provide predictive insights and drive decision making. * Document methodologies, workflows, and results to ensure reproducibility and transparency. * Be a champion of data and AI at all levels of the AES US Utilities organization. * Stay current with industry trends in utility analytics and machine learning. Qualifications Must Have * Bachelor's degree in data science, statistics, computer science, engineering, or a related field. Master's degree or Ph.D. is preferred. * 7-9 years of experience in a data science or analytics role. * Strong applied analytics and statistics skills, such as distributions, statistical testing, regression, etc. * Proficiency in Python or R, with experience using libraries such as pandas, NumPy, and scikit-learn. * Proficiency in traditional machine learning algorithms and techniques, including k-nearest neighbors (k-NN), naive Bayes, support vector machines (SVM), convolutional neural networks (CNN), random forest, gradient-boosted trees, etc. * Familiarity with generative AI tools and techniques, including large language models (LLMs) and Retrieval-Augmented Generation (RAG), with an understanding of how these can be applied to enhance contextual relevance and integrate enterprise data into intelligent workflows. * Proficiency in SQL, with experience writing complex queries and working with relational data structures. Google BigQuery experience is preferred, including the use of views, tables, materialized views, stored procedures, etc. * Proficient in Git for version control, including repository management, branching, merging, and collaborating on code and notebooks in data science projects. Experience integrating Git with CI/CD pipelines to automate testing and deployment is preferred. * Proficiency in data visualization tools (e.g., Power BI, Tableau, Looker). * Strong analytical thinking and problem-solving skills. * Excellent communication and storytelling abilities. * Experience with cloud computing platforms (GCP preferred). * Ability to manage multiple priorities in a fast-paced environment. * Interest in learning more about the customer-facing side of the utility industry. Nice to Have * Experience in the energy and/or utilities sectors. * Understanding of utility-specific data sources (e.g., SCADA, CIS, GIS). * Familiarity with SAP (especially IS-U and ERP modules). * Exposure to data governance tools (e.g., enterprise data catalog and data quality tools). Physical Responsibilities * Ability to sit or stand for extended periods while working at a computer. * Capable of walking through office environments and occasionally visiting field or operational sites. * Must be able to communicate effectively with colleagues in person, via video conferencing, and through written formats. * Occasional travel may be required to attend meetings or support project work. * Valid driver's license may be required depending on team assignment. AES is an Equal Opportunity Employer who is committed to building strength and delivering long-term sustainability through diversity and inclusion. Respecting all backgrounds, differences and perspectives enables us to improve the lives of our people, customers, suppliers, contractors, and the communities in which we live and work. All qualified applicants will receive consideration for employment without regard to sex, sexual orientation, gender, gender identity and/or expression, race, national origin, ethnicity, age, religion, marital status, physical or mental disability, pregnancy, childbirth, or related medical condition, military or veteran status, or any other characteristic protected under applicable law. E-Verify Notice: AES will provide the Social Security Administration (SSA) and if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.

Onebridge, a Marlabs Company, is an AI and data analytics consulting firm that strives to improve outcomes for the people we serve through data and technology. We have served some of the largest healthcare, life sciences, manufacturing, financial services, and government entities in the U.S. since 2005. We have an exciting opportunity for a highly skilled DataOps Consultant to join an innovative and dynamic group of professionals at a company rated among the top “Best Places to Work” in Indianapolis since 2015. DataOps Consultant | About You As a DataOps Consultant, you are responsible for ensuring the seamless integration, automation, and optimization of data pipelines and infrastructure. You excel at collaborating with cross-functional teams to deliver scalable and efficient data solutions that meet business needs. With expertise in cloud platforms, data processing tools, and version control, you maintain the reliability and performance of data operations. Your focus on data integrity, quality, and continuous improvement drives the success of data workflows. Always proactive, you are committed to staying ahead of industry trends and solving complex challenges to enhance the organization's data ecosystem. DataOps Consultant | Day-to-Day Develop, deploy, and maintain scalable and efficient data pipelines that handle large volumes of data from various sources. Collaborate with Data Engineers, Data Scientists, and Business Analysts to ensure that data solutions meet business requirements and optimize workflows. Monitor, troubleshoot, and optimize data pipelines to ensure high availability, reliability, and performance. Implement and maintain automation for data ingestion, transformation, and deployment processes to improve efficiency. Ensure data quality by implementing validation checks and continuous monitoring to detect and resolve issues. Document data processes, pipeline configurations, and troubleshooting steps to maintain clarity and consistency across teams. DataOps Consultant | Skills & Experience 5+ years of experience working in DataOps or related fields, with strong hands-on experience in cloud platforms (AWS, Azure, Google Cloud) for data storage, processing, and analytics. Proficiency in programming languages such as Python, Java, or Scala for building and maintaining data pipelines. Experience with data orchestration tools like Apache Airflow, Azure Data Factory, or similar automated data workflows. Expertise in big data processing frameworks (e.g., Apache Kafka, Apache Spark, Hadoop) for handling large volumes of data. Hands-on experience with version control systems such as Git for managing code and deployment pipelines. Solid understanding of data governance, security best practices, and regulatory compliance standards (e.g., GDPR, HIPAA). A Best Place to Work in Indiana since 2015

**Who We Are and What We Do** At Corteva Agriscience, you will help us grow what's next. No matter your role, you will be part of a team that is building the future of agriculture - leading breakthroughs in the innovation and application of science and technology that will better the lives of people all over the world and fuel the progress of humankind. We are seeking a highly skilled **Data Scientist** with experience in bioprocess control to join our global Data Science team. This role will focus on applying artificial intelligence, machine learning, and statistical modeling to develop active bioprocess control algorithms, optimize bioprocess workflows, improve operational efficiency, and enable data-driven decision-making in manufacturing and R&D environments. **What You'll Do:** + **Design and implement active process control strategies** , leveraging online measurements and dynamic parameter adjustment for improved productivity and safety. + **Develop and deploy predictive models** for bioprocess optimization, including fermentation and downstream processing. + Partner with engineers and scientists to **translate process insights into actionable improvements** , such as yield enhancement and cost reduction. + **Analyze high-complexity datasets** from bioprocess operations, including sensor data, batch records, and experimental results. + **Collaborate with cross-functional teams** to integrate data science solutions into plant operations, ensuring scalability and compliance. + **Communicate findings** through clear visualizations, reports, and presentations to technical and non-technical stakeholders. + **Contribute to continuous improvement** of data pipelines and modeling frameworks for bioprocess control. **What Skills You Need:** + M.S. + 3 years' experience or Ph.D. in Data Science, Computer Science, Chemical Engineering, Bioprocess Engineering, Statistics, or related quantitative field. + Strong foundation in machine learning, statistical modeling, and process control. + Proficiency in Python, R, or another programming language. + Excellent communication and collaboration skills; ability to work in multidisciplinary teams. **Preferred Skills:** + Familiarity with bioprocess workflows, fermentation, and downstream processing. + Hands-on experience with bioprocess optimization models and active process control strategies. + Experience with industrial data systems and cloud platforms. + Knowledge of reinforcement learning or adaptive experimentation for process improvement. \#LI-BB1 **Benefits - How We'll Support You:** + Numerous development opportunities offered to build your skills + Be part of a company with a higher purpose and contribute to making the world a better place + Health benefits for you and your family on your first day of employment + Four weeks of paid time off and two weeks of well-being pay per year, plus paid holidays + Excellent parental leave which includes a minimum of 16 weeks for mother and father + Future planning with our competitive retirement savings plan and tuition reimbursement program + Learn more about our total rewards package here - Corteva Benefits (******************************************************************************* + Check out life at Corteva! ************************************* Are you a good match? Apply today! We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team. Corteva Agriscience is an equal opportunity employer. We are committed to embracing our differences to enrich lives, advance innovation, and boost company performance. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, military or veteran status, pregnancy related conditions (including pregnancy, childbirth, or related medical conditions), disability or any other protected status in accordance with federal, state, or local laws. Corteva Agriscience is an equal opportunity employer. We are committed to boldly embracing the power of inclusion, diversity, and equity to enrich the lives of our employees and strengthen the performance of our company, while advancing equity in agriculture. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability or any other protected class. Discrimination, harassment and retaliation are inconsistent with our values and will not be tolerated. If you require a reasonable accommodation to search or apply for a position, please visit:Accessibility Page for Contact Information For US Applicants: See the 'Equal Employment Opportunity is the Law' poster. To all recruitment agencies: Corteva does not accept unsolicited third party resumes and is not responsible for any fees related to unsolicited resumes.

As an employee-owned company, DMA prioritizes employees. Low turnover rates and tenured teams are living proof: 2025 Great Places to Work Certified Employee stock ownership program eligibility begins on day one of employment (ESOP contribution is targeted at 6% of your annual compensation) Company paid parental leave Generous time off package Multiple benefit plans, eligibility begins on day one of employment Culturally focused on work/life balance, mental health, and the overall wellness of our employees This will be a hybrid position based in our Indianapolis office with a 2 days per week in office requirement. Position Summary Support the Transaction Tax division by providing technical data support to Tax Managers and Directors. Convert client data to usable formats for use by Transaction Tax Associates, Managers, and Directors. Essential Duties and Responsibilities Convert clients' data files Verify clients' data files, including identification of shifting data, etc. Add data fields to existing client files Obtain and review clients' SAP, Oracle, JDE, or other ERP tables as appropriate and determine how they relate Handle specific data requests from Transaction Tax Associates, Managers, and Directors Manage large workloads in an efficient manner Prepare and maintain working notes for all client data projects Track time spent on client data projects for ROI analysis and client billings Non-essential Duties and Responsibilities Purge old data files based on DMA's retention policy Perform other duties as assigned Education and Qualifications Associate degree required, Bachelor's degree preferred 2-4 years related professional experience Advanced skills in Microsoft Excel and beginner skills in Word and Access Prior experience with IDEA, SQL, SAP, OmniPage, and Ultra Edit preferred Strong organizational skills and attention to detail Excellent verbal and written communication skills Ability to successfully work under deadlines and comfortable with multi-tasking Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. This position does not qualify for employment-based sponsorship. #LI-HYBRID #LI-AL1 The Company is an equal employment opportunity employer and is committed to providing equal employment opportunities to its applicants and employees. The Company does not discriminate in employment opportunities or practices on the basis of race, color, religion, gender, national origin, citizenship, age, disability, veteran status, genetic information, or any other category covered by applicable federal, state, or local law. This equal employment opportunity policy applies to all employment policies, procedures, and practices, including but not limited to hiring, promotion, compensation, training, benefits, work assignments, discipline, termination, and all other terms and conditions of employment. It is DMA's policy to make reasonable accommodations for qualified individuals with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please contact our Human Resources team at *********************** or ************ and choosing selection 6.

**A Day in the Life:** We are seeking a talented **Sr Data Engineer, Palantir (experience required)** to join our Strategic Data & Analytics team working on Hertz's strategic applications and initiatives. This role will work in multi-disciplinary teams rapidly building high-value products that directly impact our financial performance and customer experience. You'll build cloud-native, large-scale, employee facing software using modern technologies including React, Python, Java, AWS, and Palantir Foundry. The ideal candidate will have strong development skills across the full stack, a growth mindset, and a passion for building software at a sustainable pace in a highly productive engineering culture. Experience with Palantir Foundry is highly preferred but not required - we're looking for engineers who are eager to learn and committed to engineering excellence. We expect the starting salary to be around $135k but will be commensurate with experience. **What You'll Do:** Day-to-Day Responsibilities + Work in balanced teams consisting of Product Managers, Product Designers, and engineers + Test first - We strive for Test-Driven Development (TDD) for all production code + CI (Continuous Integration) everything - Automation is core to our development process + Architect user-facing interfaces and design functions that help users visualize and interact with their data + Contribute to both frontend and backend codebases to enhance and develop projects + Build software at a sustainable pace to ensure longevity, reliability, and higher quality output Frontend Development + Design and develop responsive, intuitive user interfaces using React and modern JavaScript/TypeScript + Build reusable component libraries and implement best practices for frontend architecture + Generate UX/UI designs (no dedicated UX/UI designers on team) with considerations for usability and efficiency + Optimize applications for maximum speed, scalability, and accessibility + Develop large-scale, web and mobile software utilizing appropriate technologies for use by our employees Backend Development + Develop and maintain RESTful APIs and backend services using Python or Java + Design and implement data models and database schemas + Deploy to cloud environments (primarily AWS) + Integrate with third-party services and APIs + Write clean, maintainable, and well-documented code Palantir Foundry Development (Highly Preferred) + Build custom applications and integrations within the Palantir Foundry platform + Develop Ontology-based applications leveraging object types, link types, and actions + Create data pipelines and transformations using Python transforms + Implement custom widgets and user experiences using the Foundry SDK + Design and build functions that assist users to visualize and interact with their data Product Development & Delivery + Research problems and break them into deliverable parts + Work with a Lean mindset and deliver value quickly + Participate in all stages of the product development and deployment lifecycle + Conduct code reviews and provide constructive feedback to team members + Work with product managers and stakeholders to define requirements and deliverables + Contribute to architectural decisions and technical documentation **What We're Looking For:** + Experience with Palantir Foundry platform, required + 5+ years in web front-end or mobile development + Bachelor's or Master's degree in Computer Science or other related field, preferred + Strong proficiency in React, JavaScript/TypeScript, HTML, and CSS for web front-end development + Strong knowledge of one or more Object Oriented Programming or Functional Programming languages such as JavaScript, Typescript, Java, Python, or Kotlin + Experience with RESTful API design and development + Experience deploying to cloud environments (AWS preferred) + Understanding of version control systems, particularly GitHub + Experience with relational and/or NoSQL databases + Familiarity with modern frontend build tools and package managers (e.g., Webpack, npm, yarn) + Experience with React, including React Native for mobile app development, preferred + Experience in Android or iOS development, preferred + Experience with data visualization libraries (e.g., D3.js, Plotly, Chart.js), preferred + Familiarity with CI/CD pipelines and DevOps practices, preferred + Experience with Spring framework, preferred + Working knowledge of Lean, User Centered Design, and Agile methodologies + Strong communication skills and ability to collaborate effectively across teams + Growth mindset - Aptitude and willingness to learn new technologies + Empathy - Kindness and empathy when building software for end users + Pride - Takes pride in engineering excellence and quality craftsmanship + Customer obsession - Obsessed with the end user experience of products + Strong problem-solving skills and attention to detail + Ability to work independently and as part of a balanced, multi-disciplinary team + Self-motivated with a passion for continuous learning and improvement **What You'll Get:** + Up to 40% off the base rate of any standard Hertz Rental + Paid Time Off + Medical, Dental & Vision plan options + Retirement programs, including 401(k) employer matching + Paid Parental Leave & Adoption Assistance + Employee Assistance Program for employees & family + Educational Reimbursement & Discounts + Voluntary Insurance Programs - Pet, Legal/Identity Theft, Critical Illness + Perks & Discounts -Theme Park Tickets, Gym Discounts & more The Hertz Corporation operates the Hertz, Dollar Car Rental, Thrifty Car Rental brands in approximately 9,700 corporate and franchisee locations throughout North America, Europe, The Caribbean, Latin America, Africa, the Middle East, Asia, Australia and New Zealand. The Hertz Corporation is one of the largest worldwide airport general use vehicle rental companies, and the Hertz brand is one of the most recognized in the world. **US EEO STATEMENT** At Hertz, we champion and celebrate a culture of diversity and inclusion. We take affirmative steps to promote employment and advancement opportunities. The endless variety of perspectives, experiences, skills and talents that our employees invest in their work every day represent a significant part of our culture - and our success and reputation as a company. Individuals are encouraged to apply for positions because of the characteristics that make them unique. EOE, including disability/veteran

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We're looking for people who are determined to make life better for people around the world. Organizational & Position Overview: The Bioproduct Research and Development (BR&D) organization strives to deliver creative medicines to patients by developing and commercializing insulins, monoclonal antibodies, novel therapeutic proteins, peptides, oligonucleotide therapies, and gene therapy systems. This multidisciplinary group works collaboratively with our discovery and manufacturing colleagues. We are seeking an exceptional Data Scientist with deep data expertise in the pharmaceutical domain to lead the development and delivery of enterprise-scale data products that power AI-driven insights, process optimization, and regulatory compliance. In this role, you'll bridge pharmaceutical sciences with modern data engineering to transform complex CMC, PAT, and analytical data into strategic assets that accelerate drug development and manufacturing excellence. Responsibilities: Data Product Development: Define the roadmap and deliver analysis-ready and AI-ready data products that enable AI/ML applications, PAT systems, near-time analytical testing, and process intelligence across CMC workflows. Data Archetypes & Modern Data Management: Define pharmaceutical-specific data archetypes (process, analytical, quality, CMC submission) and create reusable data models aligned with industry standards (ISA-88, ISA-95, CDISC, eCTD). Modern Data Management for Regulated Environments: Implement data frameworks that ensure 21 CFR Part 11, ALCOA+, and data integrity compliance, while enabling scientific innovation and self-service access. AI/ML-ready Data Products: Build training datasets for lab automation, process optimization, and predictive CQA models, and support generative AI applications for knowledge management and regulatory Q&A. Cross-Functional Leadership: Collaborate with analytical R&D, process development, manufacturing science, quality, and regulatory affairs to standardize data products. Deliverables include: Scalable data integration platform that automates compilation of technical-review-ready and submission-ready data packages with demonstrable quality assurance. Unified CMC data repository supporting current process and analytical method development while enabling future AI/ML applications across R&D and manufacturing Data flow frameworks that enable self-service access while maintaining GxP compliance and audit readiness Comprehensive documentation, standards, and training programs that democratize data access and accelerate product development Basic Requirements: Master's degree in Computer Science, Data Science, Machine Learning, AI, or related technical field 8+ years of product management experience focused on data products, data platforms, or scientific data systems and a strong grasp of modern data architecture patterns (data warehouses, data lakes, real-time streaming) Knowledge of modern data stack technologies (Microsoft Fabric, Databricks, Airflow) and cloud platforms (AWS- S3, RDS, Lambda/Glue, Azure) Demonstrated experience designing data products that support AI/ML workflows and advanced analytics in scientific domains Proficiency with SQL, Python, and data visualization tools Experience with analytical instrumentation and data systems (HPLC/UPLC, spectroscopy, particle characterization, process sensors) Knowledge of pharmaceutical manufacturing processes, including batch and continuous manufacturing, unit operations, and process control Expertise in data modeling for time-series, spectroscopic, chromatographic, and hierarchical batch/lot data Experience with laboratory data management systems (LIMS, ELN, SDMS, CDS) and their integration patterns Additional Preferences Understanding of Design of Experiments (DoE), Quality by Design (QbD), and process validation strategies Experience implementing data mesh architectures in scientific organizations Knowledge of MLOps practices and model deployment in validated environments Familiarity with regulatory submissions (eCTD, CTD) and how analytical data supports marketing applications Experience with CI/CD pipelines (GitHub Actions, CloudFormation) for scientific applications Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (******************************************************** for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status. Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women's Initiative for Leading at Lilly (WILL), en Able (for people with disabilities). Learn more about all of our groups. Actual compensation will depend on a candidate's education, experience, skills, and geographic location. The anticipated wage for this position is $126,000 - $244,200 Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly's compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees. #WeAreLilly

Job Title: Prognostics & Health Management (PHM) Data Engineer - LiftSystem Working Pattern: Full time Working location: Indianapolis, IN/Hybrid - 3 Office Days/Week) The Rolls-Royce LiftSystem EHM-SDI team is seeking a skilled Data Engineer to design, build, and maintain data infrastructure that powers Prognostics & Health Management (PHM) capability for F35B LiftSystem. This role will ensure that critical health data is captured, stored, and made accessible for analytics, machine learning models, and decision-making systems. You will be responsible for database design, performance optimization, data quality assurance, and integration with other system. This is a highly technical role that includes data engineering, data pipeline development, and data analysis and visualization to support predictive maintenance and fleet health monitoring. Why Rolls-Royce? Rolls-Royce is one of the most enduring and iconic brands in the world and has been at the forefront of innovation for over a century. We design, build and service systems that provide critical power to customers where safety and reliability are paramount. We are proud to be a force for progress, powering, protecting and connecting people everywhere. We want to ensure that the excellence and ingenuity that has shaped our history continues into our future, and we need people like you to come and join us on this journey. Rolls-Royce has been recognized as the top employer in the Engineering & Manufacturing category on the prestigious Forbes Top Employers for Engineers list for 2025. This ranking highlights our commitment to innovation, employee development, and fostering a collaborative environment where engineers can thrive. Be part of a team that sets the industry standard and drives groundbreaking solutions. At Rolls-Royce, we are committed to creating a workplace where all employees feel respected, supported, and empowered to do their best work. We foster a welcoming and innovative work environment that invests in you, giving you access to an incredible breadth and depth of opportunities where you can grow your career and make a difference. Rolls-Royce is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to any protected characteristics. What you will be doing Design, implement, and maintain scalable and secure database system for PHM data. Optimize database performance, query speed, and storage efficiency. Build ETS (Extract, Transform, Load) pipeline to establish automated data and file exchange capabilities for all PHM data. Ensure seamless integration between OHM databases and analytics/visualization tools. Manage ongoing relationship with Rolls-Royce IT with respect to enterprise systems and LiftSystem-specific systems supported by the IT. Provide technical advice on data architecture and database technologies to broader PHM capability. Develop and implement data validation strategies to ensure accuracy and consistency. Who we're looking for: At Rolls-Royce we put safety first, do the right thing, keep it simple and make a difference. These principles form the behaviours that guide us and are an essential component of our assessment process. They are the fundamental qualities that we seek for all roles. Basic Qualifications: Bachelor's Degree in Computer Science or Engineering and 2+ years of experience in PHM/EHM system design, data analysis, data engineering, software development, OR Master's Degree in Computer Science or Engineering Must be U.S. Citizen to be considered for this opportunity Preferred Requirements: Experience in working on production database systems, database design, administration and data engineering Strong proficiency in SQL and relational database management systems Familiarity with time-series data and its processing/storage Experience building ETL data pipelines using tools such as Python Knowledge of cloud services is a plus Knowledge of API development for data access Familiarity with PHM, experience with big data platforms, exposure to ML workflows What we offer: We offer excellent development opportunities, a competitive salary, and exceptional benefits. These include bonus, employee support assistance and employee discounts. Your needs are as unique as you are. Hybrid working is a way in which our people can balance their time between the office, home, or another remote location. It's a locally managed and flexed informal discretionary arrangement. As a minimum we're all expected to attend the workplace for collaboration and other specific reasons, on average three days per week. Relocation assistance will be provided if applicable. Global Grade/Level: GG10 Closing date: 12/26/2025 #CLODEF #CLOLI Job CategoryEngineering for Services Job Posting Date11 Dec 2025; 00:12 Pay Range$90,985 - $136,477-Annually Location: Indianapolis, IN Benefits Rolls-Royce provides a comprehensive and competitive Total Rewards package that includes base pay and a discretionary bonus plan. Eligible employees may have the opportunity to enroll in other benefits, including health, dental, vision, disability, life and accidental death & dismemberment insurance; a flexible spending account; a health savings account; a 401(k) retirement savings plan with a company match; Employee Assistance Program; Paid Time Off; certain paid holidays; paid parental and family care leave; tuition reimbursement; and a long-term incentive plan. The options available to an employee may vary depending on eligibility factors such as date of hire, employment type, and the applicability of collective bargaining agreements.

About the Role: We are seeking a technically skilled and innovative Data Engineer with a strong foundation in Azure data services, dedicated to designing, building, and optimizing data pipelines and integrations. This role focuses on the development and enhancement of scalable data solutions, automation of data workflows, and implementation of best practices in data engineering. The ideal candidate is passionate about creating high-performance data architectures, collaborating with cross-functional teams, and driving continuous innovation in data engineering. Your Responsibilities: Monitor and troubleshoot data pipelines and integrations using Azure Data Factory, Synapse, and related tools. Design, develop, and optimize data pipelines and integrations using Azure Data Factory, Synapse, Fabric, and related tools. Implement and maintain ELT processes to ensure efficient, high-quality data flow across systems. Architect and enhance data models and data warehouse solutions to support business intelligence and analytics. Collaborate with data analysts, data scientists, and business stakeholders to understand requirements and deliver data solutions. Ensure data quality, integrity, and security through best practices and automation. Document data architectures, integration flows, and engineering procedures to maintain up-to-date technical knowledge bases. Drive continuous improvement by identifying opportunities for automation, performance tuning, and process enhancements. Other duties as assigned Let's Talk About Your Qualifications: Bachelor's degree in Computer Science, Information Technology, or equivalent experience 2 to 4 years of experience in a data support, operations, or engineering environment Experience with data warehousing and cloud-based data platforms Strong troubleshooting and analytical skills Experience working in agile teams and supporting production systems Leadership Attributes: At Wabash, we pride ourselves on being empowering, and there are some things we feel very strongly about: Embrace Diversity and Inclusion -- Solicit and respect the input of others, celebrate differences, and strive for transparency and inclusiveness Seek to Listen -- Actively listen to reach the best solution and make the strongest decisions Always Learn -- Strive to improve; do not quit or settle for the status quo Be Authentic -- Demonstrate honesty, incredible energy, and grit in everything you do Win Together -- Collaborate, seek alignment, and excel at cross-group communication to success as one team and One Wabash Join us in turning ideas into world-changing realities. Curate and build your high-impact professional career at Wabash! Affirmative Action/EEO Statement: Wabash is committed to providing equal employment opportunity for its associates and applicants without regard to race, color, religion, sex, age, national origin, veteran status, disability, or other protected class or activity under federal, state, or local law. All employment decisions must be based on neutral, legitimate criteria. All employment policies and rules shall be applied equally to similarly situated associates. #LI-Onsite

Insight Global is looking for a Data Engineer to support a large healthcare client in a remote capacity. The Data Engineer will be responsible for developing and maintaining new and existing data ETL pipelines and data source marts for internal use under general supervision. Additionally, they will provide support on development projects, participate in the full development life cycle including requirements analysis. We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form (****************************************** Og4IQS1J6dRiMo) . The EEOC "Know Your Rights" Poster is available here (*********************************************************************************************** . To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: *************************************************** . Skills and Requirements 3-5 years of experience in an information technology field Experience with Python, Terraform, and Databricks Understanding of JSON, jinja templates, and Lakehouse Data Architecture

Build Your Career at Heritage Construction + Materials! We are looking for a highly motivated, strategic-thinking, and data-driven technical expert to join our team as a HC+M Data Engineer. This individual will help develop and implement strategic data initiatives. They will be responsible for collecting and analyzing data, implementing technical solutions/algorithms, and developing and maintaining data pipelines. This position requires U.S. work authorization Essential Functions Develop and support data pipelines within our Cloud Data Platform Databricks Monitor and optimize Databricks cluster performance, ensuring cost-effective scaling and resource utilization Design, implement, and maintain Delta Lake tables and pipelines to ensure optimized storage, data reliability, performance, and versioning Python application development Automate CI/CD pipelines for data workflows using Azure DevOps Integrate Databricks with other Azure services, such as Azure Data Factory and ADLS Design and implement monitoring solutions, leveraging Databricks monitoring tools, Azure Log Analytics, or custom dashboards for cluster and job performance Collaborate with cross-functional teams to support data governance using Databricks Unity Catalog Additional duties and responsibilities as assigned, including but not limited to continuously growing in alignment with the Company's core values, competencies, and skills. Education Qualifications Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field required Experience Qualifications Expertise with programming languages such as Python and/or SQL Experience with Python Data Science Libraries (PySpark, Pandas, etc.) Experience with Test Drive Development (TDD) Automated CI/CD Pipelines Linux / Bash / Docker Database Schema Design and Optimization Experience working in a cloud environment (Azure preferred) with strong understanding of cloud data architecture Hands-on experience with Databricks or Snowflake Cloud Data Platforms Experience with workflow orchestration (e.g., Databricks Jobs, or Azure Data Factory pipelines) Skills and Abilities Strong analytical and problem-solving skills Experience with programming languages such as Python, Java, R, or SQL Experience with Databricks or Snowflake Cloud Data Platforms Knowledge of statistical analysis and data visualization tools, such as PowerBI or Tableau Proficient in Microsoft Office About Heritage Construction + Materials Heritage Construction + Materials (HC+M) is part of The Heritage Group, a privately held, family-owned business headquartered in Indianapolis. HC+M has core capabilities in infrastructure building. Its collection of companies provides innovative road construction and materials services across the Midwest. HC+M companies, including Asphalt Materials, Inc., Evergreen Roadworks, Milestone Contractors and US Aggregates, proudly employ 3,000 people at 68 locations across seven states. Learn more at *********************** All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. #HeritageConstruction+Materials

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.) 8. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience 9. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) **Preferred Qualifications:** Preferred Qualifications: 10. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $173,000/year to $242,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Who We Are and What We Do At Corteva Agriscience, you will help us grow what's next. No matter your role, you will be part of a team that is building the future of agriculture - leading breakthroughs in the innovation and application of science and technology that will better the lives of people all over the world and fuel the progress of humankind. Corteva Agriscience has an exciting opportunity for a **Metabolic Modeling Data Scientist** to develop and deploy predictive genome-scale metabolic models that accelerate microbial strain optimization and bioprocess development. This role will apply their expertise to innovate nature-inspired solutions to global challenges in agriculture. They will join a strong molecular data science team and work closely with cross-functional teams from early discovery to downstream process engineering to generate actionable hypotheses, quantify flux bottlenecks, and translate multiomics and process data into decisions for Crop Health R&D. **What You'll Do:** + Develop and maintain genome‑scale metabolic models for model and non‑model organisms; implement flux balance analysis (FBA/dFBA) and related approaches. + Integrate multi‑omics datasets (genomics, transcriptomics, proteomics, metabolomics) into metabolic models to generate testable hypotheses. + Apply AI/ML tools (e.g., ML‑assisted flux prediction, pathway inference etc.), perform metabolic flux analysis and estimate theoretical yields to inform media, feeding strategies, and optimization of titer/rate/yield. + Reconstruct and validate metabolic pathways, including completing missing steps and proposing/assessing novel routes to increased metabolite productivity. + Collaborate closely with strain engineering, biochemistry, and process engineering to ensure models are experimentally grounded and actionable. + Communicate results via clear summaries and decision‑ready recommendations for program reviews and R&D planning. What Skills You Need: + PhD in Systems Biology, Computational Biology, Bioinformatics, Chemical/Biochemical Engineering, Microbiology, or related fields. + Demonstrated experience building genome scale metabolic models, performing flux analysis, and integrating multi‑omics (such as genomics, transcriptomics, metabolomics) with experimental data for model refinement. + Strong programming skills in Python (and R) for model development and data integration **Preferred Skills:** + Experience with industrially relevant non‑model microbes and fermentation datasets. + Strong familiarity and proficiency working with latest models and techniques in this space, including tools such as COBRA Toolbox, CobraPy, KBase, or similar frameworks. + Experience applying ML/AI to predictive metabolic modeling, pathway prediction, and/or flux estimation. + Familiarity with version control (Git), workflow/pipeline tools, and reproducible model development practices. + Ability to develop, improve and apply metabolic modeling techniques on non‑model organisms; + Experience collaborating in cross‑disciplinary teams and ability to translate metabolic modeling insights into well-designed strain engineering experiments for validation in partnership with wet‑lab teams. \#LI-BB1 **Benefits - How We'll Support You:** + Numerous development opportunities offered to build your skills + Be part of a company with a higher purpose and contribute to making the world a better place + Health benefits for you and your family on your first day of employment + Four weeks of paid time off and two weeks of well-being pay per year, plus paid holidays + Excellent parental leave which includes a minimum of 16 weeks for mother and father + Future planning with our competitive retirement savings plan and tuition reimbursement program + Learn more about our total rewards package here - Corteva Benefits (******************************************************************************* + Check out life at Corteva! ************************************* Are you a good match? Apply today! We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team. Corteva Agriscience is an equal opportunity employer. We are committed to embracing our differences to enrich lives, advance innovation, and boost company performance. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, military or veteran status, pregnancy related conditions (including pregnancy, childbirth, or related medical conditions), disability or any other protected status in accordance with federal, state, or local laws. Corteva Agriscience is an equal opportunity employer. We are committed to boldly embracing the power of inclusion, diversity, and equity to enrich the lives of our employees and strengthen the performance of our company, while advancing equity in agriculture. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability or any other protected class. Discrimination, harassment and retaliation are inconsistent with our values and will not be tolerated. If you require a reasonable accommodation to search or apply for a position, please visit:Accessibility Page for Contact Information For US Applicants: See the 'Equal Employment Opportunity is the Law' poster. To all recruitment agencies: Corteva does not accept unsolicited third party resumes and is not responsible for any fees related to unsolicited resumes.

Onebridge, a Marlabs Company, is a global AI and Data Analytics Consulting Firm that empowers organizations worldwide to drive better outcomes through data and technology. Since 2005, we have partnered with some of the largest healthcare, life sciences, financial services, and government entities across the globe. We have an exciting opportunity for a highly skilled Snowflake Data Engineer to join our innovative and dynamic team. Snowflake Data Engineer | About You As a Snowflake Data Engineer, you are responsible for transforming raw data into trusted, authoritative sources that drive business decisions. You thrive in a fast-paced, agile environment and enjoy solving complex data integration challenges. You're passionate about data commercialization and enabling self-service analytics across the organization. Your ability to collaborate across teams and leverage modern cloud technologies makes you a key player in our data strategy. You also bring a personal passion for AI and coding into your professional life, exploring cutting-edge tools like Anthropic's Claude Code, Kizer, Cursor, and more. This curiosity fuels your innovation and keeps you ahead of emerging trends in data engineering and automation. Snowflake Data Engineer | Day-to-Day Design, build, and maintain scalable data pipelines using Snowflake and Azure Service Bus to support enterprise-wide data initiatives. Partner with business and technical stakeholders to develop authoritative data sources that enable data commercialization and strategic insights. Manage and track work using Agile tools such as Jira and ServiceNow, contributing to sprint planning, backlog grooming, and daily stand-ups. Support and optimize data integration processes, including transitioning away from legacy tools like SnowMirror to more modern solutions. Collaborate with reporting teams to enable self-service analytics using platforms like Power BI and Sigma, while maintaining data integrity and accessibility. Participate in code reviews, documentation efforts, and continuous improvement activities to enhance data engineering standards and practices. Leverage personal experience with AI-powered coding assistants and automation tools to streamline development workflows and explore innovative solutions. Snowflake Data Engineer | Skills & Experience 5+ years of experience in data engineering, data architecture, or a related technical field. Strong hands-on experience with Snowflake and cloud-based data platforms, preferably within the Azure ecosystem. Familiarity with Agile methodologies and experience using tools such as Jira and ServiceNow for work management and team collaboration. Experience with data integration and messaging systems, including Azure Service Bus and similar technologies used in enterprise environments. Working knowledge of reporting and visualization tools such as Power BI and Sigma, with an understanding of self-service analytics principles and implementation. Exposure to Python and a willingness to collaborate with developers who use it for data-related tasks, automation, and scripting. Enthusiasm for AI-assisted coding and experimentation with tools like Claude Code, Codex, GPT-5, Climb, Kizer, and Cursor to enhance productivity and innovation. A Best Place to Work in Indiana since 2015

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We're looking for people who are determined to make life better for people around the world. About the Tech at Lilly Organization: Tech at Lilly builds and maintains capabilities using cutting edge technologies like most prominent tech companies. What differentiates Tech at Lilly is that we create new possibilities through tech to advance our purpose - creating medicines that make life better for people around the world, like data driven drug discovery and connected clinical trials. We hire the best technology professionals from a variety of backgrounds, so they can bring an assortment of knowledge, skills, and diverse thinking to deliver innovative solutions in every area of the enterprise. What You Will Do A Data Engineer is responsible for designing, developing, and maintaining the data solutions that ensure the availability and quality of data for analysis and/or business transactions. They design and implement efficient data storage, processing and retrieval solutions for datasets and build data pipelines, optimize database designs, and work closely with data scientists, architects, and analysts to ensure data quality and accessibility. Data engineers require strong skillsets in data integration, acquisition, cleansing, harmonization, and transforming data. They play a crucial role in transforming raw data into datasets designed for analysis which enable organizations to unlock valuable insights for decision making. * Design, build, and maintain scalable and reliable data pipelines for batch and real-time processing. * Own incident response and resolution, including root cause analysis and post-mortem reporting for data failures and performance issues. * Develop and optimize data models, ETL/ELT workflows, and data integration across multiple systems and platforms. * Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions. * Implement data governance, security, and quality standards across data assets. * Lead end-to-end data engineering projects and contribute to architectural decisions. * Design and implement cloud-native solutions on AWS (preferred) using tools such as AWS Glue, EMR, and Databricks. Experience with Azure or GCP is a plus. * Promote best practices in coding, testing, and deployment. * Monitor, troubleshoot, and improve performance and reliability of data infrastructure. * Automate manual processes and identify opportunities to optimize data workflows and reduce costs. How You Will Succeed: * Deliver scalable solutions by designing robust data pipelines and architectures that meet performance and reliability standards. * Collaborate effectively with cross-functional teams to turn business needs into technical outcomes. * Lead with expertise, mentoring peers and driving adoption of best practices in data engineering and cloud technologies. * Continuously improve systems through automation, performance tuning, and proactive issue resolution. * Communicate with clarity to ensure alignment across technical and non-technical stakeholders. Your Basic Qualifications * Bachelor's degree in Computer Science, Information Technology, Management Information Systems or similar stem fields * At least 2 years of experience in data engineering using core technologies such as SQL, Python, PySpark, and AWS services including Lambda, Glue, S3, Redshift, Athena, and IAM roles/policies. * 1+ years of experience working in Agile environments, with hands-on experience using GitHub and CI/CD pipelines for code deployment. * 1+ years of experience with orchestration tools like Airflow for workflow automation. * Proven experience in architecting and building high-performance, scalable data pipelines following Data Lakehouse, Data Warehouse, and Data Mart standards. * Strong expertise in data modelling ( both OLTP and OLAP ), managing large datasets, and implementing secure, compliant data governance practices. * Hands-on experience with Databricks, including cluster management, workspace configuration, notebook development, and performance optimization. What You Should Bring: * Strong proficiency in SQL and Python. * Hands-on experience with cloud platforms (AWS, Azure, or GCP) and tools like Glue, EMR, Redshift, Lambda, or Databricks. * Deep understanding of ETL/ELT workflows, data modelling, and data warehousing concepts. * Familiarity with big data and streaming frameworks (e.g., Apache Spark, Kafka, Flink). * Knowledge of data governance, security, and quality practices. * Working knowledge of Databricks for building and optimizing scalable data pipelines and analytics workflows. * Experience with CI/CD, version control (Git), and infrastructure-as-code tools is a plus. * A problem-solving mindset, attention to detail, and a passion for clean, maintainable code. * Strong communication and collaboration skills to work with both technical and non-technical stakeholders. * Domain experience in healthcare, pharmaceutical (Customer Master, Product Master, Alignment Master, Activity, Consent), or regulated industries is a plus. * Partner with and influence vendor resources on solution development to ensure understanding of data and technical direction for solutions as well as delivery * AWS Certified * Databricks Certified * Familiarity with AI/ML workflows and integrating machine learning models into data pipelines * Experience in leading a small team of data engineers and providing technical mentorship. * Ability to collaborate with business stakeholders to translate key business requirements into scalable technical solutions. * Familiarity with security models and developing solutions on large-scale, distributed data systems. About the Business Function: Tech at Lilly Business Units is a global organization strategically positioned so that through information and technology leadership and solutions, we create meaningful connections and remarkable experiences, so people feel genuinely cared for. The Business Unit organization is accountable for designing, developing, and supporting commercial or customer engagement services and capabilities that span multiple Business Units (Bio-Medicines, Diabetes, Oncology, International), functions, geographies, and digital channels. The areas supported by Business Unit includes: Customer Operations, Marketing and Commercial Operations, Medical Affairs, Market Research, Pricing, Reimbursement and Access, Customer Support Programs, Digital Production and Distribution, Global Patient Outcomes, and Real-World Evidence. Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (******************************************************** for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status. Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women's Initiative for Leading at Lilly (WILL), en Able (for people with disabilities). Learn more about all of our groups. Actual compensation will depend on a candidate's education, experience, skills, and geographic location. The anticipated wage for this position is $64,500 - $167,200 Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly's compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees. #WeAreLilly

Who We Are and What We Do At Corteva Agriscience, you will help us grow what's next. No matter your role, you will be part of a team that is building the future of agriculture - leading breakthroughs in the innovation and application of science and technology that will better the lives of people all over the world and fuel the progress of humankind. Corteva Agriscience has an exciting opportunity for a Metabolic Modeling Data Scientist to develop and deploy predictive genome-scale metabolic models that accelerate microbial strain optimization and bioprocess development. This role will apply their expertise to innovate nature-inspired solutions to global challenges in agriculture. They will join a strong molecular data science team and work closely with cross-functional teams from early discovery to downstream process engineering to generate actionable hypotheses, quantify flux bottlenecks, and translate multiomics and process data into decisions for Crop Health R&D. What You'll Do: * Develop and maintain genome‑scale metabolic models for model and non‑model organisms; implement flux balance analysis (FBA/dFBA) and related approaches. * Integrate multi‑omics datasets (genomics, transcriptomics, proteomics, metabolomics) into metabolic models to generate testable hypotheses. * Apply AI/ML tools (e.g., ML‑assisted flux prediction, pathway inference etc.), perform metabolic flux analysis and estimate theoretical yields to inform media, feeding strategies, and optimization of titer/rate/yield. * Reconstruct and validate metabolic pathways, including completing missing steps and proposing/assessing novel routes to increased metabolite productivity. * Collaborate closely with strain engineering, biochemistry, and process engineering to ensure models are experimentally grounded and actionable. * Communicate results via clear summaries and decision‑ready recommendations for program reviews and R&D planning. What Skills You Need: * PhD in Systems Biology, Computational Biology, Bioinformatics, Chemical/Biochemical Engineering, Microbiology, or related fields. * Demonstrated experience building genome scale metabolic models, performing flux analysis, and integrating multi‑omics (such as genomics, transcriptomics, metabolomics) with experimental data for model refinement. * Strong programming skills in Python (and R) for model development and data integration Preferred Skills: * Experience with industrially relevant non‑model microbes and fermentation datasets. * Strong familiarity and proficiency working with latest models and techniques in this space, including tools such as COBRA Toolbox, CobraPy, KBase, or similar frameworks. * Experience applying ML/AI to predictive metabolic modeling, pathway prediction, and/or flux estimation. * Familiarity with version control (Git), workflow/pipeline tools, and reproducible model development practices. * Ability to develop, improve and apply metabolic modeling techniques on non‑model organisms; * Experience collaborating in cross‑disciplinary teams and ability to translate metabolic modeling insights into well-designed strain engineering experiments for validation in partnership with wet‑lab teams. #LI-BB1 Benefits - How We'll Support You: * Numerous development opportunities offered to build your skills * Be part of a company with a higher purpose and contribute to making the world a better place * Health benefits for you and your family on your first day of employment * Four weeks of paid time off and two weeks of well-being pay per year, plus paid holidays * Excellent parental leave which includes a minimum of 16 weeks for mother and father * Future planning with our competitive retirement savings plan and tuition reimbursement program * Learn more about our total rewards package here - Corteva Benefits * Check out life at Corteva! ************************************* Are you a good match? Apply today! We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team. Corteva Agriscience is an equal opportunity employer. We are committed to embracing our differences to enrich lives, advance innovation, and boost company performance. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, military or veteran status, pregnancy related conditions (including pregnancy, childbirth, or related medical conditions), disability or any other protected status in accordance with federal, state, or local laws.