Senior data scientist jobs in Saint Louis, MO

Shift: none __________________________________________________________________________________________________ Masego is an award-winning small business that specializes in GEOINT services. As a Service-Disabled Veteran-Owned Small Business (SDVOSB), we recognize and award your hard work. Description We are looking for a Senior-level TS/SCI-cleared Data Scientist Analyst to join our team! This Data Scientist will lead the design and application of methods to identify, collect, process, and analyze large volumes of data to build and enhance products, processes, and systems. This position will help accelerate the implementation of the NGA Data Strategy and crisis response to the community. Minimum Required Qualifications: About 10 years of relevant experience Demonstrated ability to operate successfully in a fast-paced and dynamic environment as a team member. Work across the office enhance workflows in addition to create efficiencies that result in greater productivity. Lead projects using advanced mathematical, statistical, and scientific techniques and principles to examine complex missions and operational problems and create insights from data. Support data analytics, data cleansing, analyst workflow efficiencies, and transformation supporting Extract, Transform, and Load (ETL) capabilities. Apply statistical and analytic methods to support answering intelligence questions and mission requirements. Build lightweight analytic tools to visualize analytic outputs for intelligence consumers. Design methods and mechanisms to track, report, and monitor a set of mission specific objects in order to maintain custody of those objects for various orders of battle. Preferred Qualifications, Education and Certifications: Bachelor Degree in a related field. Degree counts toward total years of experience. Security Clearance Requirement: Active TS/SCI, must be willing to take and pass a CI polygraph Salary: $128,000+ based on ability to meet or exceed stated requirements Position Number: B-018-GSB-003 / B-018-GSB-008 / B-018-GSB-010 About Masego Masego Inc. provides expert Geospatial Intelligence Solutions in addition to Activity Based Intelligence (ABI) and GEOINT instructional services. Masego provides expert-level Geospatial Collection Management, Full Motion Video; Human Geography; Information Technology and Cyber; Technical Writing; and ABI, Agile, and other professional training. Masego is a Service-Disabled Veteran-Owned Small Business headquartered in Fredericksburg, Virginia. With high-level expertise and decades of experience, coupled with proven project management systems and top-notch client support, Masego enhances the performance capabilities of the Department of Defense and the intelligence community. Pay and Benefits We seek to provide and take care of our team members. We currently offer Medical, Dental, Vision, 401k, Generous PTO, Referral bonuses, and more! Diversity Masego, Inc. is an equal opportunity/equal access/affirmative action employer fully committed to achieving a diverse workforce and complies with all applicable Federal and Virginia State laws, regulations, and executive orders regarding nondiscrimination and affirmative action in its programs and activities. Masego, Inc. does not discriminate on the basis of race, color, religion, ethnic or national origin, gender, genetic information, age, disability, sexual orientation, gender identity, gender expression, and veteran's status.

**Our Mission** As the world's number 1 job site*, our mission is to help people get jobs. We strive to cultivate an inclusive and accessible workplace where all people feel comfortable being themselves. We're looking to grow our teams with more people who share our enthusiasm for innovation and creating the best experience for job seekers. (*Comscore, Total Visits, March 2025) **Day to Day** At Indeed, our mission is to _Help People Get Jobs_ . We are seeking a visionary Senior Marketing Data Scientist to define and drive our data science endeavors for Indeed's Marketing organization.The Marketing Data Science and Business Intelligence (MDSBI) organization partners with Marketing and collaborates across the SMB, Job Seeker, Brand, Enterprise, and Global Marketing teams. Your role will entail shaping and executing Indeed's AI strategy for Marketing measurement and driving optimal allocation and returns on our Marketing spend. You will guide our organization in pursuing the strategy and, through innovation, make a meaningful impact on the lives of millions of people who use Indeed every day. As AI technology, Marketing and job markets evolve rapidly, your role will be essential in shaping the future of acquisition for both job seekers and employers. **Responsibilities** + Build and improve all components of our Marketing measurement framework including Marketing Mix models, Multi-Touch attribution and Incrementality testing. + Mentor and grow other data scientists, data engineers and Machine Learning Engineers across teams. + Communicates how campaigns, campaign measurement and business outcomes can be transformed with Machine Learning (ML) and AI across the broad organization + Partner with cross-functional teams to implement data-driven solutions that enhance user and marketer experiences + Foster external partnerships, stay updated with industry trends, and ensure our data practices remain at the forefront of technological advancements **Skills/Competencies** + Bachelor's Degree in Computer Science, Mathematics, Statistics + 7+ years of experience in data science, analytics, Machine Learning or a related field + Prior success in deploying impactful Machine Learning solutions to large-scale production systems, while engaging across teams + A deep understanding of machine learning, statistical modelling, and predictive analytics. + Deep understanding of the complexities and tradeoffs of leveraging/deploying ML/AI at scale and experience using LLMs + Proven ability to translate complex data findings into actionable business strategies and experience in collaborating with marketing or product teams to drive business growth + Experience communicating and influencing marketing, technical, and business direction across all levels of a large organization + Knowledge and practical experience working on Deep Learning Libraries (like Torch, Tensorflow, etc.) **Salary Range Transparency** US Remote 154,000 - 224,000 USD per year Austin Metro Area 154,000 - 224,000 USD per year NYC Metro Area 171,000 - 247,000 USD per year Seattle Metro Area 164,000 - 239,000 USD per year San Francisco Bay Area 180,000 - 260,000 USD per year **Salary Range Disclaimer** The base salary range represents the low and high end of the Indeed salary range for this position in the given work location. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. The range(s) listed is just one component of Indeed's total compensation package for employees. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), a Paid Time Off policy, and many region-specific benefits. **Benefits - Health, Work/Life Harmony, & Wellbeing** We care about what you care about. We have a multitude of benefits to support Indeedians, as well as their pets, kids, and partners including medical, dental, vision, disability and life insurance. Indeedians are able to enroll in our company's 401k plan, as well as an equity-based incentive program. Indeedians will also receive open paid time off, 11 paid holidays a year and up to 26 weeks of paid parental leave. For more information, select your country and learn more about our employee benefits, program, & perks at **************************************** **Equal Opportunities and Accommodations Statement** Indeed is deeply committed to building a workplace and global community where inclusion is not only valued, but prioritized. We're proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, family status, marital status, sexual orientation, national origin, genetics, neuro-diversity, disability, age, or veteran status, or any other non-merit based or legally protected grounds. Indeed provides reasonable accommodations to qualified individuals with disabilities in the employment application process. To request an accommodation, please visit ********************************************** If you are requesting accommodation for an interview, please reach out at least one week in advance of your interview. For more information about our commitment to equal opportunity/affirmative action, please visit our Careers page (******************************** **Inclusion & Belonging** Inclusion and belonging are fundamental to our hiring practices and company culture, forming an integral part of our vision for a better world of work. At Indeed, we're committed to the wellbeing of our employees and on a mission to make this the best place to work and thrive. We believe that fostering an inclusive environment where every employee feels respected and accepted benefits everyone, fueling innovation and creativity. We value diverse experiences, including those who have had prior contact with the criminal legal system. We are committed to providing individuals with criminal records, including formerly incarcerated individuals, a fair chance at employment. Those with military experience are encouraged to apply. Equivalent expertise demonstrated through a combination of work experience, training, military experience, or education is welcome. **Indeed's Employee Recruiting Privacy Policy** Like other employers Indeed uses our own technologies to help us find and attract top talent from around the world. In addition to our site's user and privacy policy found at **************************** , we also want to make you aware of our recruitment specific privacy policy found at ****************************/indeed-jobs . **Agency Disclaimer** Indeed does not pay placement fees for unsolicited resumes or referrals from non-candidates, including search firms, staffing agencies, professional recruiters, fee-based referral services, and recruiting agencies (each individually, an "Agency"), subject to local laws. An Agency seeking a placement fee must obtain advance written approval from Indeed's internal Talent Acquisition team and execute a fee agreement with Indeed for each job opening before making a referral or submitting a resume for that opening. **Reference ID:** **46205** **The deadline to apply to this position is [12/5/2025]. Job postings may be extended at the hiring team's discretion based on applicant volume.** It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Reference ID: 46205

Company: The Boeing Company Boeing Defense, Space & Security (BDS) is hiring a Senior Data Scientist for a Proprietary Program in Saint Louis, MO. We seek passionate, curious, and talented data scientists who want their job to have real-world impacts by solving complex, challenging, and meaningful data science problems. As an Senior data scientist, you will play a crucial role in designing and leveraging digital data solutions in a distributed data system to maximize production and weapon system operational effectiveness. This position is onsite. The selected candidate will be required to perform work onsite at St Louis campus. Position Responsibilities: Collaborate with cross-functional teams to identify and define data requirements, data collection methods, and data quality standards. Build systems that enable conducting data analysis and exploration to identify patterns, trends, and insights that drive decision-making Provide technical leadership to team of data scientists Implement and deploy machine learning models, working closely with software engineering teams to integrate into customer environments. Collaborate with subject matter experts to understand engineering domain knowledge and incorporate it into data analysis and modeling efforts. Continuously evaluate and improve existing models and algorithms to enhance their accuracy, efficiency, and scalability. Ensure data security, privacy, and compliance with relevant regulations and policies throughout the data analysis lifecycle. Stay up-to-date with the latest advancements in data science, machine learning, and aerospace technologies to drive innovation and maintain a competitive edge. Communicate findings, insights, and recommendations to technical and non-technical stakeholders through clear and concise reports, presentations, and visualizations. Mentor and provide guidance to junior data scientists Contribute to the development of best practices and standards for data science within the organization. This position is expected to be 100% onsite. The selected candidate will be required to work onsite at Hazelwood, MO. Travel may be required up to 10% of the time; Domestically depending on business needs. This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Basic Qualifications (Required Skills/Experience): Bachelor's degree from an accredited course of study in Mathematics, Data Science, Computer Science, Engineering, Physics or similar discipline 9 years of professional experience in data science, artificial intelligence, or machine learning Programming experience in one or more of the following: Python, Julia, R, C, C++, C#, Java. Experience leading technical teams or projects Preferred Qualifications (Desired Skills/Experience): Advanced degree (Master's or Doctorate) in Data Science, Applied Statistics, Computer Science, Mathematics, or another similar technical background 3+ years of experience in natural language processing 3+ years of experience in SQL or NoSQL Database Languages Proficient with data visualization tools Proficient in deep learning frameworks such as PyTorch and TensorFlow Experience with generative AI models, including LLMs, for building knowledge-driven solutions. Experience integrating models into customer environments, both on-prem and in cloud environments Experience working in an agile software development team Experience with MLOps and MLOps tool stack such as ClearML or MLFlow Experience working in cloud computing environments such as Azure and AWS Typical Education & Experience: Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), computer science, engineering data science, mathematics, physics or chemistry (e.g. Bachelor) and typically 9 or more years' related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications. In the USA, ABET accreditation is the preferred, although not required, accreditation standard. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Work Shift: This position will be for first shift. At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: $133,450 - $180,550 Language Requirements: Not Applicable Education: Bachelor's Degree or Equivalent Relocation: This position offers relocation based on candidate eligibility. Export Control Requirement: This position must meet export control compliance requirements. To meet export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.15 is required. “U.S. Person” includes U.S. Citizen, lawful permanent resident, refugee, or asylee. Safety Sensitive: This is not a Safety Sensitive Position. Security Clearance: This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Visa Sponsorship: Employer will not sponsor applicants for employment visa status. Contingent Upon Award Program This position is not contingent upon program award Shift: Shift 1 (United States of America) Stay safe from recruitment fraud! The only way to apply for a position at Boeing is via our Careers website. Learn how to protect yourself from recruitment fraud - Recruitment Fraud Warning Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. EEO is the law Boeing EEO Policy Request an Accommodation Applicant Privacy Boeing Participates in E - Verify E-Verify (English) E-Verify (Spanish) Right to Work Statement Right to Work (English) Right to Work (Spanish)

Job Name: Data Scientist Level: Senior Remote Work: No Required Clearance: TS/SCI Pending funding RESPONSIBILITIES: Work with large structured / unstructured data in a modeling and analytical environment to define and create streamline processes in the evaluation of unique datasets and solve challenging intelligence issues Lead and participate in the design of solutions and refinement of pre-existing processes Work with Customer Stakeholders, Program Managers, and Product Owners to translate road map features into components/tasks, estimate timelines, identify resources, suggest solutions, and recognize possible risks Use exploratory data analysis techniques to identify meaningful relationships, patterns, or trends from complex data Combine applied mathematics, programming skills, analytical techniques, and data to provide impactful insights for decision makers Research and implement optimization models, strategies, and methods to inform data management activities and analysis Apply big data analytic tools to large, diverse sets of data to deliver impactful insights and assessments Conduct peer reviews to improve quality of workflows, procedures, and methodologies Help build high-performing teams; mentor team members providing development opportunities to increase their technical skills and knowledge REQUIRED QUALIFICATIONS: Requires TS/SCI Clearance with the ability to obtain a CI/Poly. 10+ years of relevant experience. (A combination of years of experience & professional certifications/trainings can be used in lieu of years of experience) Experience supporting IC operations Possess expert level knowledge to manipulate and analyze structured/ unstructured data Demonstrated experience in data mining and developing/maintaining/manipulating databases Demonstrated experience in identifying potential systems enhancements, new capabilities, concept demonstrators, and capability business cases Demonstrated experience using GOTS data processing and analytics capabilities to modernize analytic methodologies Demonstrated experience using COTS statistical software (Map Large, Tableau, MatLab) for advanced statistical analysis of operational tools and data visualization which enables large datasets to be interrogated and allows for patterns, relationships, and anticipatory behavioral likelihoods that may not be apparent using traditional single discipline means Knowledge of advanced analytic methodologies, and experience in implementing and executing those methodologies to enable customer satisfaction Demonstrated experience in directing activities of highly skilled technical and analytical teams responsible for developing solutions to highly complex analytical/intelligence problems Experienced in conducting multi-INT and technology specific research to support mission operations Possess effective communications skills; capable of providing highly detailed information in an easy-to-understand format DESIRED QUALIFICATIONS: Possess Master's degree in Data Science or related technical field Experience developing and working with Artificial Intelligence and Machine Learning (AI/ML) Demonstrated experience of advanced programming techniques, using one or more of the following: HTML 5/Javascript, ArcObjects, Python, Model Builder, Oracle, SQL, GIScience, GeospatiavAnalysis, Statistics, ArcGIS Desktop, ArcGIS Server, Arc SDE, ArcIMS. Experience using NET, Python, C++, and/or JAVA programming for web interface development and geodatabase development. Experience building and maintaining databases of GEOINT, SIGINT, or OSINT data related to the area of interest needs. Data Visualization Experience which may include Matrix Analytics, Network Analytics, Graphing Data that assist the analytical workforce in generating common operational pictures depicting fused intelligence and information to support informal assessments and finished products Chopine Analytic Solutions is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, any other non-merit factor, or any other characteristic protected by law.

At Bayer we're visionaries, driven to solve the world's toughest challenges and striving for a world where 'Health for all Hunger for none' is no longer a dream, but a real possibility. We're doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining 'impossible'. There are so many reasons to join us. If you're hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there's only one choice. Data Scientist Computer Vision Your Tasks and Responsibilities * Providing technical contributions in a fast-paced team environment to accelerate our efforts in Plant Biotechnology. * Independently perform statistical analysis, computer programming, predictive modeling, and experimental design. * Build cross-functional relationships to collaboratively partner with the business and effectively network within the Data Science Community. * Contribute to the development of code, models, and end-to-end workflows for analysis of images and other large datasets. * Developing sustainable, consumable, accurate, and impactful reporting on model inputs, model outputs, observed outputs, business impact, and key performance indicators. * Present compelling, validated stories to all levels of organization, including peers, senior management, and internal customers to drive both strategic and operational changes in business. Qualifications * Bachelors degree with 5+ years of experience or Masters degree with 2+ years experience or PhD. * Educational preparation or applied experience in at least one of the following areas: Data Science, Computer Science or other related quantitative disciplines. * Demonstrates intermediate proficiency in computational skills using R and/or Python, and/or Sagemaker * Strong proficiency in predictive modeling-to include comprehension of theory, modeling /identification strategies and limitations and pitfalls. * Experience in applying machine learning, deep learning, and other algorithms to imaging data and other large datasets. * Experience in writing and deploying models and/or pipelines in a cloud environment * Experience in successful delivery of valuable analysis through application of domain knowledge; evidence of ability to strong business acumen. * Strong communication competencies to include presentations and delivery of complex quantitative analyses in a clear, concise, and actionable manner to extended team and small groups of key stakeholders. Employees can expect to be paid a salary between $109,370.40 - $164,055.60 Additional compensation may include a bonus or incentive compensation (if relevant). Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc.. This salary range is merely an estimate and may vary based on an applicant's location, market data/ranges, an applicant's skills and prior relevant experience, certain degrees and certifications, and other relevant factors. This posting will be available for application until at least January 5, 2025. YOUR APPLICATION Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and want to impact our mission Science for a better life, we encourage you to apply now. Be part of something bigger. Be you. Be Bayer. To all recruitment agencies: Bayer does not accept unsolicited third party resumes. Bayer is an Equal Opportunity Employer/Disabled/Veterans Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below. Bayer is an E-Verify Employer. Location:United States : Missouri : Chesterfield Division:Crop Science Reference Code:857498 Contact Us Email:hrop_*************

The clock is ticking the second an analyst spots a target. Every minute lost gives the adversary time to move, hide, or vanish completely-and right now, too much of the collection cycle is still stuck in manual steps. This is your rare opportunity to join in on supporting CENTCOM collection challenges. In the event of an analyst flagging a target, the Source Strategy Officer (SSO) builds the plan, nominations get entered into GEOINT Information Management Systems (GIMS), and hours, sometimes days pass before sensors are even pointed at the target. Your mission is to collapse that timeline. You'll be embedded with analyst and SSOs, building operational-grade Python automation in JEMA that takes GEOINT tasking from discovery to collection in minutes, sometimes seconds. This is your chance to watch your code trigger live tasking, integrate with GEOINT, SIGINT, ELINT, and OSINT to deliver a complete picture while it's still relevant. If you are ready to make this mission and see your work instantly impact operations, join XTS in supporting the National Geospatial-Intelligence Agency today! Requirements You have a current active Top Secret / SCI clearance You have achieved a Master's degree / Bachelor's degree + 2 years / Associate's degree + 3 years / 5+ years of relevant experience Advanced Python skills as you'll be writing automation and AI tools that have to run in live ops without failing. Expertise in JEMA as it's NGA's core GEOINT automation platform in order to start improving tasking workflows. Nice to Have Multi-INT background, understanding SIGINT, OSINT, ELINT, MASINT, HUMINT gives you advantage in building automation that works across multiple disciplines. Experience with Brewlytics, ArcPro, or similar GEOINT tools to integrate automation into analyst' current workflows. Additional programming languages such as R, SQL, HTML, JavaScript, etc. for more flexibility in how you deliver and present results. If you're ready to support CENTCOM AOR in building the tools that strip away delays and inefficiencies, giving operators the speed to act before the target moves, please send your resume directly to Lanchi Lai at [email protected] At XTS, we believe in taking care of our employees as much as we take care of our clients. As a veteran-owned company, we understand the importance of community, service, and fostering a culture where each team member can thrive. Our commitment to employee well-being is reflected in the comprehensive benefits and growth opportunities we offer. We offer tailored health care plans that fit your lifestyle, along with dental and vision coverage, paid time off (PTO), and a 401K with employer matching to secure your financial future. As we push forward in the rapidly evolving field of AI, XTS is committed to providing employees with tools and opportunities to stay ahead. We are proud to offer our GeoAI scholarship to help our employees further develop their skills and expertise in this cutting-edge field. We take pride in delivering elite workforces to the Intelligence Community, making a real-world impact on critical missions. Join us and experience a company that invests in your success and professional growth.

At B&A, we foster and embrace a distinct set of values that we live by and instill in all aspects of our organization: dedication, commitment, partnership, trust, and recognition. We have incorporated these values into successful delivery for our customers since 1988. B&A believes in ensuring its employees feel deeply connected to B&A, recognizing successes and hard work, and providing continuous opportunities to learn and grow. Our people are entrepreneurial thinkers that combine mindset, vision, and experience to drive value - not only to us as an organization, but to the clients we support. We promote a collaborative culture with our clients, and with each other, as one team working towards a common vision. We'd love for you to join our team! Job Summary: B&A is looking for a Data Scientist to join a contract with a federal government client in support of an important mission. We are seeking a Data Scientist with a proven track record in intelligence support and data-driven analysis to provide direct, high-impact contributions to a mission-critical office. This position represents one of the first dedicated data science roles supporting this environment, offering the opportunity to shape analytical capabilities from the ground up. Responsibilities Operate independently to lead and execute advanced data science tasks in support of intelligence missions. Work closely with intelligence analysts and mission stakeholders to identify requirements and deliver data-informed insights. Design and implement scalable processes to manage and exploit large and complex datasets. Use exploratory data analysis and statistical modeling to identify patterns, trends, and mission-relevant discoveries. Develop clear, operationally relevant visualizations and dashboards that integrate seamlessly into daily intelligence workflows. Support knowledge transfer and help foster a culture of data literacy across the organization. Education and Experience Bachelor's degree 5 years of experience working in intelligence providing intelligence analysis. Required Skills Demonstrated background in the intelligence community, with direct support to intelligence analysis and missions. Senior-level experience working autonomously in high-stakes, dynamic environments. Proven ability to design, develop, and optimize data processes involving large, complex, and sensitive datasets. Experience delivering actionable analytical products through effective data visualization (e.g., dashboards, reports, dynamic tools). Strong communication skills and the ability to translate technical findings into operationally impactful narratives. Desired Skills Prior experience building analytics capabilities in austere or newly developed environments. Familiarity with cloud environments and data architectures commonly used in government or DoD settings. Proficiency with tools such as Python, R, SQL, Tableau, Power BI, or similar. Security Clearance Top Secret More About B&A: Notable Clients B&A has grown to be a company that is trusted by our clients for exceptional service, innovative solutions, and inspired employees. Our service extends through federal, state, and local Government, the private sector, and higher education. Some of our notable clients include Department of Homeland Security, U.S. Customs and Border Protection, U.S. Senate, U.S. Courts, U.S. Census Bureau, U.S. Navy, and more. Benefits and Programs B&A is proud to offer three robust individual and family medical plans to full time employees, including a Health Savings Account (HSA) option as well as two tiers of dental coverage, vision, life & AD&D, disability, accident, hospital indemnity, and critical illness insurance. In addition to these benefits, B&A employees enjoy paid time off, B&A sponsored trainings and certifications, pet insurance benefits, commuter transit benefits and a free subscription to a virtual exercise platform (NEOU). B&A's 401(k) plan is available to all employees and includes a company matching contribution. B&A has launched several programs to focus on employee engagement, wellness, and assistance. These include: The B&A Cares program: 30/60/90-day wellness check ins, personal development, financial management, and stress management seminars, and more A formal mentorship program Job shadowing and cross training opportunities Brand Ambassador program Employee Assistance Program (EAP) - Access to various support resources to include counseling, legal guidance, financial planning, and more Monthly teambuilding events B&A Annual Wellness Challenges: #StepWithB&A, #WalkDuringLunchWithB&A, #VolunteeringWithB&A, #ExerciseDuringLunchWithB&A, and more At B&A, we place significant importance on improving the communities and lives of citizens across the nation through our involvement, technology expertise, and employees. B&A puts an emphasis on charitable efforts in the Northern Virginia area, including Capital Area Food Bank pantry drives, book donations, Hope for Henry Foundation events, and many more. In recognition of all these efforts, B&A has been named a Companies as Responsive Employers (CARE) award recipient by Northern Virginia Family Services and nominated by the Northern Virginia Chamber of Commerce for Outstanding Corporate Citizenship Award. EEO B&A provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. B&A complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. This policy covers conduct occurring at B&A's offices, and other workplaces (including client sites) and all other locations where B&A is providing services, and to all work-related activities. EEO is the Law B&A participates in e-Verify. We provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 Form to confirm work authorization.

Syntelligent Analytic Solutions, LLC provides uniquely qualified personnel with the expertise and tools needed to fulfill our customers' management and technical requirements in the intelligence, defense, homeland security and commercial market space. Our customers' and Syntelligent's success are built upon the core values of People First, Integrity & Accountability, Mission Driven, Community Focus and Team Oriented. Syntelligent is seeking a Data Scientist - Journeyman level with active TS/SCI clearance for an awarded/funded contract in support of a government customer in St. Louis, MO.*** This is a Pipeline position*** Primary Responsibilities: The Data Scientist will analyze actual and predictable interacting operational activities of given target sets and client requests to obtain a quantitative, rational basis for decision making through the application of logic and scientific or economic disciplines and techniques. Devises modeling and measuring techniques; utilizes mathematics, statistical methods, engineering methods, operational mathematics techniques (linear programming, game theory, probability theory, symbolic language, etc.), and other principles and laws of scientific and economic disciplines. Identify and evaluate standardized methods, models and algorithms to address intelligence problems of limited scale as directed. Provide documentation for methods and algorithms use in data science solutions to the client and address outstanding items. Interact with analysts and routinely take and translate analytical requirements and transform them into data formats to allow for use and the application of new emerging analytical methodologies. Interpret rich data sources, manage large amounts of data, merge data sources together, ensure consistency of data-sets, support the creation of visualizations to understand data, build mathematical models using the data, and present and communicate the data insights/findings to specialists and scientists in their team and if required to a non-expert audience. Design, develop, program, and test applications and exchange data within and amongst information systems. MINIMUM REQUIRED SKILLS: The candidate must have a minimum of 2 - 4 years of experience; A Bachelor's degree in a field related to the support services may count for up to four years of this experience. Experience with Data Conditioning & Data Wrangling Demonstrated experience with programming languages i.e. Java, Python or R Understanding of Data Analytics Demonstrated experience with statistics & statistical models Demonstrated experience with SQL databases i.e. Oracle, PostgreS Ability to identify, retrieve, manipulate, relate and/or exploit multiple structured and unstructured data sets from various sources, including building or generating new data sets as appropriate Ability to interpret and evaluate the results of data science community's methods models and/or algorithms, understanding the meaning, limitations and scope of the results, and translate them into insightful output for data science and/or mission and identifying other applications for use Ability to initiate the efficient implementation of methods, tools, and algorithms using a comprehensive range of technologies DESIRED SKILLS: Experience in visualization, communication & story-telling based on data and analytics findings Data Analytics Experience in Machine Learning Knowledge and experience with database creation and management Geospatial Information Systems Knowledge of ESRI Suite Knowledge of PostGIS Knowledge of QGIS Cloud Environment Experience in deploying applications Experience in testing applications Active TS/SCI clearance and willingness to obtain a POLY is REQUIRED for consideration. (MAY BE REQUIRED) Current GEOINT Professional Certification - Fundamentals (GPC-F) or ability to obtain it within 90 days of hire (**************************************** Online applications, please. When we review candidates' information, we are looking for the best matches for the position based on the qualifications listed in the job posting. If your skills and experience appear to match an open position, a recruitment services professional or a hiring manager may contact you. Syntelligent Analytic Solutions, LLC is an Equal Employment Opportunity and Affirmative Action employer. It is the policy of the company to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation and gender identity or expression, national origin or protected veteran status and will not be discriminated against on the basis of disability. If you are a qualified disabled veteran or individual with a disability and need reasonable accommodation to use or access our online system, please contact our Human Resources at ************, Extension #2.

Benson Hill Biosystems solves the world's greatest challenges by combining plant biology, data analytics and cloud computing. Job Description APPLY HERE!! ********************************************************************* The Bioinformatics Data Scientist Developer will design, develop, and maintain a robust, cloud-based computational biology infrastructure as part of the computational biology group at Benson Hill Biosystems. This role has a wide array of responsibilities, from primary data analysis to the management of cloud-based distributed compute systems. The successful candidate will possess a deep understanding of bioinformatic processes, statistics, database design, algorithm development, and the design and implementation of complex computational systems. Key Responsibilities: Design, develop and deploy cloud-based computational platforms to facilitate the research and development process within the Computational Biology group. Administer cloud based infrastructure and environment. Assist in the design and implementation of data-analysis platforms, pipelines, and provisioning platforms. Assist Computational Biology scientific personnel in leveraging infrastructure resources. Maintain detailed and organized records of project design, implementation, and other materials as needed. Qualifications Education and Experience: B.S/M.S. in computer science, bioinformatics, statistics, and/or a related field. Minimum of five years of relevant experience. Qualifications: The ideal candidate will have the following knowledge, experience, education, and capabilities: Direct experience with data analytics and visualizations of complex data. Direct experience with plant genomics and genome-scale data analysis. Proven computing and programming skills. Computing skills should include expertise with Unix/Linux environments and distributed and/or virtualized infrastructure. Proven programming skills, including Perl or Python, R, and at least one compiled language. Experience with Amazon Web Services cloud computing infrastructure. Proven expertise with SQL database design, implementation, and maintenance. Excellent oral and written communication skills and the ability to work in a multi-disciplinary setting. A track record of producing deliverables and meeting aggressive and inflexible deadlines. Ability to multi-task and take on new and diverse assignments as necessary in a fast-moving startup atmosphere. Ability to work autonomously and collaboratively as part of a team. Excellent planner, organizer, critical thinker, and problem solver with a demonstrated ability to efficiently execute project tasks. Additional Information All your information will be kept confidential according to EEO guidelines.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Data Scientist, Sustainable TechnologyJob Overview: As the Senior Data Engineer / Scientist for Mastercard's Sustainable Technology, you will be the driving force behind the development and execution of cutting-edge data strategies and data environment frameworks. Your expertise will ensure the effective utilization of data, enabling the delivery of dependable Data & Analytics Services. You will collaborate with cross-functional teams and establish data-related best practices in alignment with Mastercard standards. Responsibilities: • Design, develop, and maintain new data capabilities and infrastructure for Mastercard's Sustainable Technology Internal Data Lake. • Create new data pipelines, data transfers, and compliance-oriented infrastructure to facilitate seamless data utilization within on-premise/cloud environments. • Identify existing data capability and infrastructure gaps or opportunities within and across initiatives and provide subject matter expertise in support of remediation. • Collaborate with technical teams and business stakeholders to understand data requirements and translate them into technical solutions. • Work with large datasets, ensuring data quality, accuracy, and performance. • Implement data transformation, integration, and validation processes to support analytics/BI and reporting needs. • Optimize and fine-tune data pipelines for improved speed, reliability, and efficiency. • Implement best practices for data storage, retrieval, and archival to ensure data accessibility and security. • Troubleshoot and resolve data-related issues, collaborating with the team to identify root causes. • Document data processes, data lineage, and technical specifications for future reference. • Participate in code reviews, ensuring adherence to coding standards and best practices. • Collaborate with DevOps teams to automate deployment and monitoring of data pipelines. • Additional tasks as required. All About You Education: • Bachelor's degree in Computer Science, Engineering, Data Science, or a related field. Knowledge / Experience: • Proven experience as a Data Engineer / Scientist or similar role. • Deep understanding of data visualization, statistics, hypothesis testing, business intelligence tools, SQL, data cleaning, and data lifecycle management. • Proficiency in designing and implementing data tools, technologies, and processes. • Expertise in data engineering, ETL/ELT processes, data warehousing, and data modeling. • Strong command of data integration techniques and data quality management. • Hands-on experience with data technologies such as Hadoop, Spark, Python, SQL, Alteryx, NiFi, SSIS, etc. • Familiarity with cloud platforms and services, such as AWS, GCP, or Azure. • Excellent problem-solving skills and ability to provide innovative data solutions. • Strong leadership skills with a proven track record of guiding and mentoring a team. • 3+ years of experience in related field. • 3+ years of experience in delivering secure solutions in Financial Services Sector is preferred. • Broad understanding of Software Engineering Concepts and Methodologies is required. • Demonstrate MC Core Competencies. Skills/ Abilities: • Must be high-energy, detail-oriented, proactive and have the ability to function under pressure in an independent environment. • Experience building data pipelines through Spark with Scala/Python/Java on Hadoop or Object storage. • Expertise in Data Engineering and Data Analysis: implementing multiple end-to-end DW projects in Big Data Hadoop environment. • Experience working with databases like MS SQL Server, Oracle, and strong SQL knowledge. • Experience in BI tools like Tableau, Power BI. • Experience with Alteryx, SSIS, NiFi, Spark, Cloudera Machine Learning, S3 Protocol, PowerBI, NoSQL data structures, Splunk, Databricks, (added advantage) • Experience automating data flow processes in a Big Data environment. • Pulling in data from various monitoring platforms to aggregate and enable data science work to support ESG (ie sustainable impact) • Must provide the necessary skills to have a high degree of initiative and self-motivation to drive results. • Possesses strong communication skills -- both verbal and written - and strong relationship, collaborative skills and organizational skills. • Willingness and ability to learn and take on challenging opportunities and to work as a member of matrix based diverse and geographically distributed project team.Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations. Pay Ranges O'Fallon, Missouri: $115,000 - $184,000 USD

Job Description Shift: none __________________________________________________________________________________________________ Masego is an award-winning small business that specializes in GEOINT services. As a Service-Disabled Veteran-Owned Small Business (SDVOSB), we recognize and award your hard work. Description We are looking for a Senior-level TS/SCI-cleared Data Scientist Analyst to join our team! This Data Scientist will lead the design and application of methods to identify, collect, process, and analyze large volumes of data to build and enhance products, processes, and systems. This position will help accelerate the implementation of the NGA Data Strategy and crisis response to the community. Minimum Required Qualifications: About 10 years of relevant experience Demonstrated ability to operate successfully in a fast-paced and dynamic environment as a team member. Work across the office enhance workflows in addition to create efficiencies that result in greater productivity. Lead projects using advanced mathematical, statistical, and scientific techniques and principles to examine complex missions and operational problems and create insights from data. Support data analytics, data cleansing, analyst workflow efficiencies, and transformation supporting Extract, Transform, and Load (ETL) capabilities. Apply statistical and analytic methods to support answering intelligence questions and mission requirements. Build lightweight analytic tools to visualize analytic outputs for intelligence consumers. Design methods and mechanisms to track, report, and monitor a set of mission specific objects in order to maintain custody of those objects for various orders of battle. Preferred Qualifications, Education and Certifications: Bachelor Degree in a related field. Degree counts toward total years of experience. Security Clearance Requirement: Active TS/SCI, must be willing to take and pass a CI polygraph Salary: $128,000+ based on ability to meet or exceed stated requirements Position Number: B-018-GSB-003 / B-018-GSB-008 / B-018-GSB-010 About Masego Masego Inc. provides expert Geospatial Intelligence Solutions in addition to Activity Based Intelligence (ABI) and GEOINT instructional services. Masego provides expert-level Geospatial Collection Management, Full Motion Video; Human Geography; Information Technology and Cyber; Technical Writing; and ABI, Agile, and other professional training. Masego is a Service-Disabled Veteran-Owned Small Business headquartered in Fredericksburg, Virginia. With high-level expertise and decades of experience, coupled with proven project management systems and top-notch client support, Masego enhances the performance capabilities of the Department of Defense and the intelligence community. Pay and Benefits We seek to provide and take care of our team members. We currently offer Medical, Dental, Vision, 401k, Generous PTO, Referral bonuses, and more! Diversity Masego, Inc. is an equal opportunity/equal access/affirmative action employer fully committed to achieving a diverse workforce and complies with all applicable Federal and Virginia State laws, regulations, and executive orders regarding nondiscrimination and affirmative action in its programs and activities. Masego, Inc. does not discriminate on the basis of race, color, religion, ethnic or national origin, gender, genetic information, age, disability, sexual orientation, gender identity, gender expression, and veteran's status. Powered by JazzHR n3etBOlsVc

About the Role Culmen International is hiring Sr. Exploitation Specialist/Data Scientists to provide support on-site at the National Geospatial-Intelligence Agency (NGA) in Arnold, MO. The National Geospatial-Intelligence Agency (NGA) expects to deliver AOS Metadata Cataloging and Management Services to enhance product and asset management of content enabling rapid creation of discoverable, modular, web enabled, and visually enriched Geospatial Intelligence (GEOINT) products for intelligence producers in NGA, across the National System for Geospatial-Intelligence (NSG). TALENT PIPELINE - Qualified applicants will be contacted as soon as funding for this position is secured. What You'll Do in Your New Role The Data Scientist will coordinate with our clients to understand questions and issues involving the client's datasets, then determine the best method and approach to create data-driven solutions within program guidelines. This position will be relied upon as a Subject Matter Expert (SME), and be expected to lead/assist in the development of automated processes, architect data science solutions, automated workflows, conduct analysis, use available tools to analyze data, remain adaptable to mission requirements, and identify patterns to help solve some of the complex problems that face the DoD and Intelligence Community (IC). * Work with large structured / unstructured data in a modeling and analytical environment to define and create streamline processes in the evaluation of unique datasets and solve challenging intelligence issues * Lead and participate in the design of solutions and refinement of pre-existing processes * Work with Customer Stakeholders, Program Managers, and Product Owners to translate road map features into components/tasks, estimate timelines, identify resources, suggest solutions, and recognize possible risks * Use exploratory data analysis techniques to identify meaningful relationships, patterns, or trends from complex data * Combine applied mathematics, programming skills, analytical techniques, and data to provide impactful insights for decision makers * Research and implement optimization models, strategies, and methods to inform data management activities and analysis * Apply big data analytic tools to large, diverse sets of data to deliver impactful insights and assessments * Conduct peer reviews to improve quality of workflows, procedures, and methodologies * Help build high-performing teams; mentor team members providing development opportunities to increase their technical skills and knowledge Required Qualifications * Requires TS/SCI Clearance with the ability to obtain a CI/Poly. * 10+ years of relevant experience. (A combination of years of experience & professional certifications/trainings can be used in lieu of years of experience) * Experience supporting IC operations * Possess expert level knowledge to manipulate and analyze structured/ unstructured data * Demonstrated experience in data mining and developing/maintaining/manipulating databases * Demonstrated experience in identifying potential systems enhancements, new capabilities, concept demonstrators, and capability business cases * Demonstrated experience using GOTS data processing and analytics capabilities to modernize analytic methodologies * Demonstrated experience using COTS statistical software (Map Large, Tableau, MatLab) for advanced statistical analysis of operational tools and data visualization which enables large datasets to be interrogated and allows for patterns, relationships, and anticipatory behavioral likelihoods that may not be apparent using traditional single discipline means * Knowledge of advanced analytic methodologies, and experience in implementing and executing those methodologies to enable customer satisfaction * Demonstrated experience in directing activities of highly skilled technical and analytical teams responsible for developing solutions to highly complex analytical/intelligence problems * Experienced in conducting multi-INT and technology specific research to support mission operations * Possess effective communications skills; capable of providing highly detailed information in an easy-to-understand format Desired Qualifications * Possess Master's degree in Data Science or related technical field * Experience developing and working with Artificial Intelligence and Machine Learning (AI/ML) * Demonstrated experience of advanced programming techniques, using one or more of the following: HTML 5/Javascript, ArcObjects, Python, Model Builder, Oracle, SQL, GIScience, GeospatiavAnalysis, Statistics, ArcGIS Desktop, ArcGIS Server, Arc SDE, ArcIMS. * Experience using NET, Python, C++, and/or JAVA programming for web interface development and geodatabase development. * Experience building and maintaining databases of GEOINT, SIGINT, or OSINT data related to the area of interest needs. * Data Visualization Experience which may include Matrix Analytics, Network Analytics, Graphing Data that assist the analytical workforce in generating common operational pictures depicting fused intelligence and information to support informal assessments and finished products About the Company Culmen International is committed to enhancing international safety and security, strengthening homeland defense, advancing humanitarian missions, and optimizing government operations. With experience in over 150 countries, Culmen supports our clients to accomplish critical missions in challenging environments. * Exceptional Medical/Dental/Vision Insurance, premiums for employees are 100% paid by Culmen, and dependent coverage is available at a nominal rate (including same or opposite sex domestic partners) * 401k - Vested immediately and 4% match * Life insurance and disability paid by the company * Supplemental Insurance Available * Opportunities for Training and Continuing Education * 12 Paid Holidays To learn more about Culmen International, please visit ************** At Culmen International, we are committed to creating and sustaining a workplace that upholds the principles of Equal Employment Opportunity (EEO). We believe in the importance of fair treatment and equal access to opportunities for all employees and applicants. Our commitment to these principles is unwavering across all our operations worldwide.

At Bayer we're visionaries, driven to solve the world's toughest challenges and striving for a world where 'Health for all Hunger for none' is no longer a dream, but a real possibility. We're doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining 'impossible'. There are so many reasons to join us. If you're hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there's only one choice. Protein Design Data Scientist Postdoc Protein Design Data Scientist - Postdoctoral Position (Data Scientist VS 1.1) Bayer is looking for a highly creative and motivated data scientist with expertise in deep learning and protein design to join our team in St. Louis, MO. The candidate will join a cross divisional, global team to generate innovative machine learning solutions to better understand biomolecules and productionize solutions into discovery pipelines in the Plant Biotechnology Group. The successful candidate will be responsible for fine-tuning and running deep learning models involved in protein analytics, while advising on a variety of external and internal collaborations focused on generating novel datasets, analytical approaches, and product development strategies. The individual will also have knowledge on traditional molecular mechanics approaches to computational protein design and protein structure analysis. Your Tasks and Responsibilities: * Be an active member of a highly interdisciplinary and cross-organizational team aimed at using AI to develop novel Biotech products * Stay current with fast-paced innovation in AI applied to protein analytics and design * Collaborate and consult with technical and non-technical stakeholders on external collaborations in the protein space * Conceive, execute, and evaluate models and experiments; interpret results and present them to a broad range of stakeholders and leadership * Help other researchers use AI in their daily discovery activities * Work in close collaboration with peers located in our Protein Sciences team and other members of the Data Science community * Strengthen external visibility and scientific excellence through publishing, open source code, and engaging in the scientific community Required Qualifications * PhD and applied experience in at least one of the following areas: Computational Biology, Computer Science, Computational Chemistry, or related fields. * Demonstrates intermediate proficiency in computational skills and level of experience building data models using R or Python. * Strong proficiency in leveraging deep learning models for prediction involving biological sequence-to include comprehension of theory, modeling/identification strategies and limitations and pitfalls. * Experience in successful delivery of valuable analysis through application of domain knowledge; evidence of ability to strong business acumen. * Strong communication competencies to include presentations and delivery of complex quantitative analyses in a clear, concise and actionable manner to extended team and small groups of key stakeholders. Employees can expect to be paid a salary between $90,000-$140,000 Additional compensation may include a bonus or incentive compensation (if relevant). Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc.. This salary range is merely an estimate and may vary based on an applicant's location, market data/ranges, an applicant's skills and prior relevant experience, certain degrees and certifications, and other relevant factors. This posting will be available for application until at least January 5, 2025. YOUR APPLICATION Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and want to impact our mission Science for a better life, we encourage you to apply now. Be part of something bigger. Be you. Be Bayer. To all recruitment agencies: Bayer does not accept unsolicited third party resumes. Bayer is an Equal Opportunity Employer/Disabled/Veterans Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below. Bayer is an E-Verify Employer. Location:United States : Missouri : Chesterfield Division:Crop Science Reference Code:857708 Contact Us Email:hrop_*************

You thrive on untangling complexity and turning it into seamless, automated processes to drive the mission forward. Every second saved, every workflow improved, and every system modernized directly impacts the National Geospatial-Intelligence Agency's (NGA) ability to deliver intelligence where and when it's needed. This is a chance to rewrite the way NGA works, to build systems that last, and to see your fingerprints on solutions that shape national security. This is your chance to design processes that unlock discoveries from large, complex data sets, ensuring that no critical signal is lost in the noise. Looked upon for your expertise in Python scripting to automate workflows and enable faster, more precise analysis. You'll be responsible for making discoveries understandable, creating visualizations that integrate seamlessly into operational workflows so that insights aren't just generated but acted upon. In this role, you'll work at the intersection of advanced analytics and intelligence, shaping products and processes that the mission relies on daily. If you're ready to bring your intelligence background, data science expertise, and senior-level independence to a role where your impact will be felt immediately and lastingly, join XTS today! Requirements Current active Top Secret / SCI clearance You have achieved the accomplishment of a Master's degree + 5 years / Bachelor's degree + 7 years / Associate's degree + 8 years / 10 + years of relevant experience You have gained strong expertise in building processes around large datasets to support in designing repeatable methods that extract real discoveries from complexity. You have robust proficiency in Python scripting in order to automate and create solutions that scale, adapt, and withstand mission demands. You have a strong skillset in operational visualization in order to make discoveries and present them through clear, intuitive visualizations that team can use immediately in daily operations. If you're ready to apply your intelligence background and technical expertise to problems of national importance, ensuring NGA's mission is carried out with precision, speed, and impact, send your resume directly to Lanchi Lai at [email protected] At XTS, we believe in taking care of our employees as much as we take care of our clients. As a veteran-owned company, we understand the importance of community, service, and fostering a culture where each team member can thrive. Our commitment to employee well-being is reflected in the comprehensive benefits and growth opportunities we offer. We offer tailored health care plans that fit your lifestyle, along with dental and vision coverage, paid time off (PTO), and a 401K with employer matching to secure your financial future. As we push forward in the rapidly evolving field of AI, XTS is committed to providing employees with tools and opportunities to stay ahead. We are proud to offer our GeoAI scholarship to help our employees further develop their skills and expertise in this cutting-edge field. We take pride in delivering elite workforces to the Intelligence Community, making a real-world impact on critical missions. Join us and experience a company that invests in your success and professional growth.

**Our Purpose** _Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._ **Title and Summary** Senior Data Scientist, Sustainable Technology Job Overview: As the Senior Data Engineer / Scientist for Mastercard's Sustainable Technology, you will be the driving force behind the development and execution of cutting-edge data strategies and data environment frameworks. Your expertise will ensure the effective utilization of data, enabling the delivery of dependable Data & Analytics Services. You will collaborate with cross-functional teams and establish data-related best practices in alignment with Mastercard standards. Responsibilities: - Design, develop, and maintain new data capabilities and infrastructure for Mastercard's Sustainable Technology Internal Data Lake. - Create new data pipelines, data transfers, and compliance-oriented infrastructure to facilitate seamless data utilization within on-premise/cloud environments. - Identify existing data capability and infrastructure gaps or opportunities within and across initiatives and provide subject matter expertise in support of remediation. - Collaborate with technical teams and business stakeholders to understand data requirements and translate them into technical solutions. - Work with large datasets, ensuring data quality, accuracy, and performance. - Implement data transformation, integration, and validation processes to support analytics/BI and reporting needs. - Optimize and fine-tune data pipelines for improved speed, reliability, and efficiency. - Implement best practices for data storage, retrieval, and archival to ensure data accessibility and security. - Troubleshoot and resolve data-related issues, collaborating with the team to identify root causes. - Document data processes, data lineage, and technical specifications for future reference. - Participate in code reviews, ensuring adherence to coding standards and best practices. - Collaborate with DevOps teams to automate deployment and monitoring of data pipelines. - Additional tasks as required. All About You Education: - Bachelor's degree in Computer Science, Engineering, Data Science, or a related field. Knowledge / Experience: - Proven experience as a Data Engineer / Scientist or similar role. - Deep understanding of data visualization, statistics, hypothesis testing, business intelligence tools, SQL, data cleaning, and data lifecycle management. - Proficiency in designing and implementing data tools, technologies, and processes. - Expertise in data engineering, ETL/ELT processes, data warehousing, and data modeling. - Strong command of data integration techniques and data quality management. - Hands-on experience with data technologies such as Hadoop, Spark, Python, SQL, Alteryx, NiFi, SSIS, etc. - Familiarity with cloud platforms and services, such as AWS, GCP, or Azure. - Excellent problem-solving skills and ability to provide innovative data solutions. - Strong leadership skills with a proven track record of guiding and mentoring a team. - 3+ years of experience in related field. - 3+ years of experience in delivering secure solutions in Financial Services Sector is preferred. - Broad understanding of Software Engineering Concepts and Methodologies is required. - Demonstrate MC Core Competencies. Skills/ Abilities: - Must be high-energy, detail-oriented, proactive and have the ability to function under pressure in an independent environment. - Experience building data pipelines through Spark with Scala/Python/Java on Hadoop or Object storage. - Expertise in Data Engineering and Data Analysis: implementing multiple end-to-end DW projects in Big Data Hadoop environment. - Experience working with databases like MS SQL Server, Oracle, and strong SQL knowledge. - Experience in BI tools like Tableau, Power BI. - Experience with Alteryx, SSIS, NiFi, Spark, Cloudera Machine Learning, S3 Protocol, PowerBI, NoSQL data structures, Splunk, Databricks, (added advantage) - Experience automating data flow processes in a Big Data environment. - Pulling in data from various monitoring platforms to aggregate and enable data science work to support ESG (ie sustainable impact) - Must provide the necessary skills to have a high degree of initiative and self-motivation to drive results. - Possesses strong communication skills -- both verbal and written - and strong relationship, collaborative skills and organizational skills. - Willingness and ability to learn and take on challenging opportunities and to work as a member of matrix based diverse and geographically distributed project team. Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. **Corporate Security Responsibility** All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: + Abide by Mastercard's security policies and practices; + Ensure the confidentiality and integrity of the information being accessed; + Report any suspected information security violation or breach, and + Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations. **Pay Ranges** O'Fallon, Missouri: $115,000 - $184,000 USD

Job Name: Data Scientist Level: Mid Remote Work: No Required Clearance: TS/SCI Pending funding RESPONSIBILITIES: Work with large structured / unstructured data in a modeling and analytical environment to define and create streamline processes in the evaluation of unique datasets and solve challenging intelligence issues Participate in the design of solutions and refinement of pre-existing processes Work with Customer Stakeholders, Program Managers, and Product Owners to translate road map features into components/tasks, estimate timelines, identify resources, suggest solutions, and recognize possible risks Use exploratory data analysis techniques to identify meaningful relationships, patterns, or trends from complex data Combine applied mathematics, programming skills, analytical techniques, and data to provide impactful insights for decision makers Research and implement optimization models, strategies, and methods to inform data management activities and analysis Apply big data analytic tools to large, diverse sets of data to deliver impactful insights and assessments REQUIRED QUALIFICATIONS: Requires TS/SCI Clearance with the ability to obtain a CI/Poly. 5+ years of relevant experience. (A combination of years of experience & professional certifications/trainings can be used in lieu of years of experience) Mid-level proficiency in Python and other object-oriented programming languages. Demonstrated experience with relevant Python libraries including Pandas and Geopandas. Advanced experience using Python to automate complex workflows and integrate with cloud services. Proven experience with relational databases and web development tools, including API integration. Extensive experience in database administration and cloud-based data management. Deep knowledge of GEOINT products, data formats, and satellite imagery systems. Excellent communication skills with demonstrated ability to collaborate across organizations. Extensive experience developing and implementing process improvements. Experience using AI/ML for feature extraction, data enrichment, and predictive analytics DESIRED QUALIFICATIONS: Certifications in Python and other programming languages Experience implementing machine learning solutions Advanced experience with geospatial analysis and data manipulation Deep understanding of NGA systems including Custom Media Services, NSG Consolidated Library, and Gateway In depth understanding of Enterprise File Delivery (EFD) Practical experience with UNIX/Linux operating systems, particularly RedHat Linux Chopine Analytic Solutions is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, any other non-merit factor, or any other characteristic protected by law.

At Bayer we're visionaries, driven to solve the world's toughest challenges and striving for a world where 'Health for all Hunger for none' is no longer a dream, but a real possibility. We're doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining 'impossible'. There are so many reasons to join us. If you're hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there's only one choice. Data Scientist Position Overview As a Data Scientist, you will develop and deliver practical, interpretable, and automated solutions for business problems through predictive modeling, statistical analysis, simulation, and optimization in a highly interactive and team-oriented environment. You will deploy developed models into production and integrate them with existing infrastructure, systems, and platforms. Your role will involve preparing documentation, including detailed problem formulation, data requirements, modeling approach, and implementation steps. You will present data-driven insights, recommendations, and solutions to a broad range of audiences, including peers, senior management, and internal customers in a clear and interpretable manner. You will work closely with global data science teams and business partners to break down complex business problems and build feasible solutions that are impactful, accurate, and validated. Additionally, you will build cross-functional relationships with the business and collaborate effectively within the Global Data and Data Science Communities. As a proactive member of a global data science team, you will adopt and advocate for best practices. YOUR TASKS AND RESPONSIBILITIES The primary responsibilities of this role, Data Scientist, are to: * Develop and deliver practical, interpretable, and automated solutions for business problems through predictive modeling, statistical analysis, simulation, and optimization; * Deploy developed models into production and integrate with existing infrastructure, systems, and platforms; * Prepare documentation including detailed problem formulation, data requirements, modeling approach, and implementation steps; * Present data-driven insights, recommendations, and solutions to a broad range of audiences including peers, senior management, and internal customers in a clear and interpretable manner; * Be creative, resourceful, detail-oriented, and able to take initiative when it comes to solving business problems; * Work closely with global data science teams and business partners to break down complex business problems to build feasible solutions that are impactful, accurate, and validated; * Build cross-functional relationships with the business and collaborate effectively within the Global Data and Data Science Communities; * Be a proactive member of a global data science team in adopting and advocating for best practices. WHO YOU ARE Bayer seeks an incumbent who possesses the following: Required Qualifications: * Master's degree with 2+ years of experience or a PhD in one of the following areas: Data Science, Electrical/Industrial Engineering, Applied Mathematics, Statistics, Computer Science, or other related quantitative discipline; * Solid theoretical background in machine learning and statistical methods; * Strong proficiency in Python and/or R programming languages; * Hands-on experience building machine learning models and performing statistical analysis using Python/R; * Proficiency in using SQL to access data (BigQuery preferred); * Demonstrated working experience with real-world problems, preferably related to agriculture, genetic and environmental data; * Good communication and presentation skills; * Ability to work independently, in a matrix, and in a cross-functional team, with people from a variety of different backgrounds; * Ability to handle multiple simultaneous projects, be highly organized, and prioritize to meet deadlines; * Familiarity with version control and coding best practices. Preferred Qualifications: * Previous domain knowledge in Agriculture/Crop Science; * Practical experience with Ensemble Methods, SVMs, Clustering, Outlier detection, Bayesian Methods; * Knowledge in Natural Language Processing, Operations Research, and Deep Learning; * Familiarity with common data science toolkits and data visualization tools (Shiny, Dash, Streamlit, PowerBI, Tableau). Employees can expect to be paid a salary between $109,370.40 - $164,055.60 Additional compensation may include a bonus or incentive compensation (if relevant). Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc.. This salary range is merely an estimate and may vary based on an applicant's location, market data/ranges, an applicant's skills and prior relevant experience, certain degrees and certifications, and other relevant factors. This posting will be available for application until at least Decemer 15, 2025. YOUR APPLICATION Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and want to impact our mission Science for a better life, we encourage you to apply now. Be part of something bigger. Be you. Be Bayer. To all recruitment agencies: Bayer does not accept unsolicited third party resumes. Bayer is an Equal Opportunity Employer/Disabled/Veterans Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below. Bayer is an E-Verify Employer. Location:United States : Missouri : Creve Coeur Division:Crop Science Reference Code:857403 Contact Us Email:hrop_*************

About the Role Culmen International is hiring Expert Exploitation Specialist/Data Scientists to provide support on-site at the National Geospatial-Intelligence Agency (NGA) in St.Louis, MO. The National Geospatial-Intelligence Agency (NGA) expects to deliver AOS Metadata Cataloging and Management Services to enhance product and asset management of content enabling rapid creation of discoverable, modular, web enabled, and visually enriched Geospatial Intelligence (GEOINT) products for intelligence producers in NGA, across the National System for Geospatial-Intelligence (NSG). TALENT PIPELINE - Qualified applicants will be contacted as soon as funding for this position is secured. What You'll Do in Your New Role The Data Scientist will coordinate with our clients to understand questions and issues involving the client's datasets, then determine the best method and approach to create data-driven solutions within program guidelines. This position will be relied upon as a Subject Matter Expert (SME), and be expected to lead/assist in the development of automated processes, architect data science solutions, automated workflows, conduct analysis, use available tools to analyze data, remain adaptable to mission requirements, and identify patterns to help solve some of the complex problems that face the DoD and Intelligence Community (IC). Work with large structured / unstructured data in a modeling and analytical environment to define and create streamline processes in the evaluation of unique datasets and solve challenging intelligence issues Lead and participate in the design of solutions and refinement of pre-existing processes Work with Customer Stakeholders, Program Managers, and Product Owners to translate road map features into components/tasks, estimate timelines, identify resources, suggest solutions, and recognize possible risks Use exploratory data analysis techniques to identify meaningful relationships, patterns, or trends from complex data Combine applied mathematics, programming skills, analytical techniques, and data to provide impactful insights for decision makers Research and implement optimization models, strategies, and methods to inform data management activities and analysis Apply big data analytic tools to large, diverse sets of data to deliver impactful insights and assessments Conduct peer reviews to improve quality of workflows, procedures, and methodologies Help build high-performing teams; mentor team members providing development opportunities to increase their technical skills and knowledge Required Qualifications TS/SCI Clearance w/CI Poly Eligible Minimum of 18 years combined experience (A combination of years of experience & professional certifications/trainings can be used in lieu of a degree) BS in related Field with Graduate level work Expert proficiency in Python and other programming languages applicable to automation development. Demonstrated experience designing and implementing workflow automation systems Advanced experience with ETL (Extract, Transform, Load) processes for geospatial data Expertise in integrating disparate systems through APl development and implementation Experience developing and deploying enterprise-scale automation solutions Knowledge of NGA's Foundation GEOINT products, data types, and delivery methods Demonstrated experience with database design, implementation, and optimization Experience with digital media generation systems and automated content delivery platforms Ability to analyze existing workflows and develop technical solutions to streamline processes Knowledge of DLA systems and interfaces, particularly MEBS and WebFLIS Expertise in data quality assurance and validation methodologies Experience with geospatial data processing, transformation, and delivery automation Proficiency with ArcGIS tools, GEODEC and ACCORD software systems Understanding of cartographic principles and standards for CADRG/ECRG products Strong analytical skills for identifying workflow inefficiencies and implementing solutions Experience writing technical documentation including SOPS,CONOPS, and system design Desired Qualifications Certification(s) in relevant automation technologies or programming languages Experience with DevOps practices and C/CD implementation Knowledge of cloud-based automation solutions and their implementation in - government environments Experience with machine learning applications for GEOINT Workflow optimization Expertise in data analytics and visualization for workflow performance metrics Understanding of NGA's enterprise architecture and integration points Experience implementing RPA (Robotic Process Automation) solutions Knowledge of secure coding practices and cybersecurity principles Demonstrated expertise in digital transformation initiatives Experience mentoring junior staff in automation techniques and best practices Background in agile development methodologies Understanding of human-centered design principles for workflow optimization About the Company Culmen International is committed to enhancing international safety and security, strengthening homeland defense, advancing humanitarian missions, and optimizing government operations. With experience in over 150 countries, Culmen supports our clients to accomplish critical missions in challenging environments. Exceptional Medical/Dental/Vision Insurance, premiums for employees are 100% paid by Culmen, and dependent coverage is available at a nominal rate (including same or opposite sex domestic partners) 401k - Vested immediately and 4% match Life insurance and disability paid by the company Supplemental Insurance Available Opportunities for Training and Continuing Education 12 Paid Holidays To learn more about Culmen International, please visit ************** At Culmen International, we are committed to creating and sustaining a workplace that upholds the principles of Equal Employment Opportunity (EEO). We believe in the importance of fair treatment and equal access to opportunities for all employees and applicants. Our commitment to these principles is unwavering across all our operations worldwide.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Data Scientist, Sustainable Technology Job Overview: As the Senior Data Engineer / Scientist for Mastercard's Sustainable Technology, you will be the driving force behind the development and execution of cutting-edge data strategies and data environment frameworks. Your expertise will ensure the effective utilization of data, enabling the delivery of dependable Data & Analytics Services. You will collaborate with cross-functional teams and establish data-related best practices in alignment with Mastercard standards. Responsibilities: * Design, develop, and maintain new data capabilities and infrastructure for Mastercard's Sustainable Technology Internal Data Lake. * Create new data pipelines, data transfers, and compliance-oriented infrastructure to facilitate seamless data utilization within on-premise/cloud environments. * Identify existing data capability and infrastructure gaps or opportunities within and across initiatives and provide subject matter expertise in support of remediation. * Collaborate with technical teams and business stakeholders to understand data requirements and translate them into technical solutions. * Work with large datasets, ensuring data quality, accuracy, and performance. * Implement data transformation, integration, and validation processes to support analytics/BI and reporting needs. * Optimize and fine-tune data pipelines for improved speed, reliability, and efficiency. * Implement best practices for data storage, retrieval, and archival to ensure data accessibility and security. * Troubleshoot and resolve data-related issues, collaborating with the team to identify root causes. * Document data processes, data lineage, and technical specifications for future reference. * Participate in code reviews, ensuring adherence to coding standards and best practices. * Collaborate with DevOps teams to automate deployment and monitoring of data pipelines. * Additional tasks as required. All About You Education: * Bachelor's degree in Computer Science, Engineering, Data Science, or a related field. Knowledge / Experience: * Proven experience as a Data Engineer / Scientist or similar role. * Deep understanding of data visualization, statistics, hypothesis testing, business intelligence tools, SQL, data cleaning, and data lifecycle management. * Proficiency in designing and implementing data tools, technologies, and processes. * Expertise in data engineering, ETL/ELT processes, data warehousing, and data modeling. * Strong command of data integration techniques and data quality management. * Hands-on experience with data technologies such as Hadoop, Spark, Python, SQL, Alteryx, NiFi, SSIS, etc. * Familiarity with cloud platforms and services, such as AWS, GCP, or Azure. * Excellent problem-solving skills and ability to provide innovative data solutions. * Strong leadership skills with a proven track record of guiding and mentoring a team. * 3+ years of experience in related field. * 3+ years of experience in delivering secure solutions in Financial Services Sector is preferred. * Broad understanding of Software Engineering Concepts and Methodologies is required. * Demonstrate MC Core Competencies. Skills/ Abilities: * Must be high-energy, detail-oriented, proactive and have the ability to function under pressure in an independent environment. * Experience building data pipelines through Spark with Scala/Python/Java on Hadoop or Object storage. * Expertise in Data Engineering and Data Analysis: implementing multiple end-to-end DW projects in Big Data Hadoop environment. * Experience working with databases like MS SQL Server, Oracle, and strong SQL knowledge. * Experience in BI tools like Tableau, Power BI. * Experience with Alteryx, SSIS, NiFi, Spark, Cloudera Machine Learning, S3 Protocol, PowerBI, NoSQL data structures, Splunk, Databricks, (added advantage) * Experience automating data flow processes in a Big Data environment. * Pulling in data from various monitoring platforms to aggregate and enable data science work to support ESG (ie sustainable impact) * Must provide the necessary skills to have a high degree of initiative and self-motivation to drive results. * Possesses strong communication skills -- both verbal and written - and strong relationship, collaborative skills and organizational skills. * Willingness and ability to learn and take on challenging opportunities and to work as a member of matrix based diverse and geographically distributed project team. Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: * Abide by Mastercard's security policies and practices; * Ensure the confidentiality and integrity of the information being accessed; * Report any suspected information security violation or breach, and * Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations. Pay Ranges O'Fallon, Missouri: $115,000 - $184,000 USD