Senior data scientist jobs in Saint Charles, MO - 143 jobs

We're seeking an experienced Data Engineer to help design and build a cloud-native big data analytics platform on AWS. You'll work in an agile engineering team alongside data scientists and engineers to develop scalable data pipelines, analytics, and visualization capabilities. Key Highlights: Build and enhance data pipelines and analytics using Python, R, and AWS services (Glue, Lambda, Redshift, EMR, QuickSight, SageMaker) Design and support big data solutions leveraging Spark, Hadoop, and Redshift Apply DevOps and Infrastructure as Code practices (Terraform, Ansible, AWS CDK) Collaborate cross-functionally to align data architecture with business goals Support security, quality, and operational excellence initiatives Requirements: 7+ years of data engineering experience Strong AWS cloud and big data background Experience with containerization (EKS/ECR), APIs, and Linux Location: Hybrid in St. Louis, MO area (onsite 2-3 days)

NISA Investment Advisors, LLC (NISA) offers customized investment solutions for tax-exempt and taxable institutional clients. NISA manages over $298 billion in fixed-income and equity securities and over $172 billion in derivative notional value. We seek bright, motivated individuals who can contribute to our growing team of professionals. Candidates with a high degree of independent thinking, strong analytical and quantitative skills, and team-playing abilities who desire to make a difference are encouraged to apply. Responsibilities The Data Engineer, Data Solutions is a member of NISA's Data Engineering team responsible for creating, updating and supporting ETL/ELT data pipelines for a variety of stakeholders across the enterprise. They will define, design, develop, unit test and support new and existing solutions to meet complicated and time-sensitive business requirements. In addition, the Data Engineer supports and manages high-severity production incident resolution, performs code reviews, and participates in on-call rotations. They should be comfortable working in a fast-paced team environment and have the skills to troubleshoot and resolve data integration issues independently. Qualifications Bachelor's degree in Computer Science or a related field or relevant work experience required 5+ years of experience with ETL/ELT 3+ years of experience with SQL Experience with Python, C#, or similar high-level language Experience with AWS, AWS Lambda, S3, Airflow, and related technologies Professional work experience with Databricks or PySpark Demonstrated team player who works well in a fast-paced environment and can adapt to changing priorities, demands, and timelines Strong analytical and innovative problem-solving skills, along with a solid attention to detail. Excellent customer support skills Preferred Experience: Microsoft SQL Server database development PostgreSQL database development SSIS development Working knowledge of Airflow or a similar business automation tool Developing software/databases in an Agile environment NISA's culture encourages collaboration and innovation. We seek self-motivated, intellectually curious individuals willing to push themselves and others in an environment that celebrates fresh thinking. We equip employees with the resources needed to excel and we encourage personal development. NISA is dedicated to internally cultivating and rewarding talent. Employees at NISA are provided with a wide range of benefits, including a complimentary onsite cafeteria, gym, health and wellness program, and educational assistance program. NISA is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

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 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 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.

Job Description ***Requires an active TS/SCI Security Clearance**** What Impact You'll Have: We are looking for a Senior Data Scientist, with experience processing and analyzing large datasets, who will use their technical knowledge, experience, and customer-centric focus to create and deliver world-class analytic processes, scripting solutions, and data modeling content. This is a mission-driven opportunity to support the DoD and Intelligence Community. 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). What You'll Be Owning: 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 What You Must Have: Active TS/SCI Clearance with 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 What Would Be Nice to Have: 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 Why Choose GRVTY The toughest national security challenges demand vision and ingenuity, not just resources. We deliver mission and technical expertise to outpace our adversaries. We're purpose-built to tackle the most entrenched, systemic national security issues around the world. We partner with our customers to help them overcome challenges in every corner of technology and defense-including the ones still being explored. Our growing capabilities create complementary advantages, giving on-the-ground operations the edge they need to succeed. We muster everything we have to answer every challenge presented, every day of our lives. At GRVTY, we believe that when our employees thrive, our company thrives. That's why we offer a comprehensive and competitive benefits package designed to support your well-being, growth, and work-life balance. • Robust health plan including medical, dental, and vision • Health Savings Account with company contribution • Annual Paid Time Off and Paid Holidays • Paid Parental Leave • 401k with generous company match • Training and Development Opportunities • Award Programs • Variety of Company Sponsored Events EEO Statement GRVTY, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran and will not be discriminated against on the basis of disability. Anyone requiring reasonable accommodations should email ******************** or call ************ with requested details. A member of the HR team will respond to your request within 2 business days. Know Your Rights: Workplace Discrimination is Illegal (eeoc.gov) Please review our current job openings and apply for the positions you believe may be a fit. If you are not an immediate fit, we will also keep your resume in our database for future opportunities.

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 Embtel Inc, our commitment is to be an expert provider of tailored, end-to-end enterprise-class IT solutions for mid-market and enterprise companies through high-touch customer service. Embtel offers a full suite of IT solutions including cloud and hosting solutions, managed services, ERP application management, professional services, IT hardware and top tier data centers. At Embtel Inc, our principles of leadership and innovative engineering helps customers reduce costs, improve service levels, increase revenues and gain local-to-global competitive advantage. Our customers span multiple industries including healthcare, manufacturing, financial services, retail, and government. Customers choose us because our experienced team leverages and manages mission-critical data centers, cloud, and customer infrastructure 24/7/365. Our services ensure customer data is secure, available, and helps meet their compliance requirements. Embtel Inc. helps professionals to achieve highest degree of client satisfaction through our customized training programs based on the client's business needs to empower program managers, project managers, and business analysts. Our trainers have encompassing experience in not only the tools we support, but also in project management and earned value methodology, enterprise systems, database architecture, business reengineering and more. Job Description Knowledge/Experience: Master's degree in Statistics, Mathematics, Computer Science, Informatics, Econometrics, Engineering, Experimental Science with 3+ years of experience or Bachelor's degree and 5+ years of quantitative analysis experience in data science capabilities including data mining, predictive modeling, machine learning, statistical modeling, large scale data acquisition, transformation, and structured and unstructured data analysis. Experience with database technologies, including Oracle, SAP, DB2, Teradata, MS SQL Server, SAP HANA, MySQL Qualifications quantitative analysis in data science capabilities predictive & statistical modeling Teradata, MySQL, DB2 & SQL Server Additional Information All your information will be kept confidential according to EEO guidelines.

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.

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. Anticipated Salary Range: 90,000-97,000 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.

Intellect Solutions LLC, an Economically Disadvantaged Woman Owned Small Business (EDWOSB) and Hub Zone Certified Firm is seeking a Data Scientist to drive mission analytics and visualization initiatives used in the USTRANSCOM change and knowledge management processes. As an Intellect Solutions Data Scientist, you will have the opportunity to research, experiment and conduct data modeling, data management and data analytics while utilizing machine-learning models, workflows and tools. You will also lead or assist is developing and implementing systems engineering, process and technology solutions that allow rapid association of broadly sourced data sets in a graphically interactive user-space to facilitate information sharing and decision-making. The ideal candidate must be passionate about solving problems, discovering insights, and support decisions using data. Required Skills U.S. Citizenship, required Active Secret Clearance. Must be a lifelong learner, willing to share and grow the knowledge of those around them. Strong qualitative and quantitative analysis skills. Provide technology, activity, and scale agnostic solutions to establish and operationalize insights-driven decision-making at the command level and align outputs to command operational requirements through web-based systems. Conduct data modeling and management to assemble data structures and lineage Develop analytic models and tools using a variety of commercial-off-the-shelf and open source capabilities like Jupyter or Zeppelin notebooks and exposed application programing interfaces, as well as business intelligence, and visualization tools such as Tableau, Qlik, and COGNOS Research, develop, and apply statistical and machine learning model workflows and tools such as Argo and Kubeflow Pipelines to build, train, and test new machine learning models, such as ModelDB to carry out model tuning, data and model provenance, and storing trained models Deploy, monitor, and update models in production, and languages and frameworks such as Python, R, Julia, Scala, and several legacy deep-learning libraries such as Theao, Caffe2, and Torch Assist the command with cloud implementations, including assessment, application rationalization, data migration and management, and machine learning and artificial intelligence analytics in a cloud environment Recommend improvements to associated workflows as defined by the customer Create user space that is primarily enabled by automatically accumulated, compiled, processed, and correlated information of value Design and create user experience for an intuitive output consisting of ‘fewest clicks to an answer' while iteratively creating capacity for ‘minimum viable capability' with extensibility as a core tenant Connect data sources across an organization, align datasets to a unified schema, consolidate a unified dataset through entity de-duplication and mastering when necessary, and classify records into a taxonomy for downstream analysis Required Experience BS/BA in related degree such as Data Analytics, Operations Research, Economics, Engineering, Mathematics, etc. (Other education, commensurate experience and demonstrated ability of individual may be substituted) Minimum of 2-3 years professional work experience providing data analytics services. 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 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

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.

Job Description What You'll be Owning: We are seeking a highly skilled Senior Prompt Engineer to support mission-critical intelligence operations. The ideal candidate brings agentic AI expertise, advanced data science capabilities, and demonstrated experience supporting national security objectives across GEOINT, multi-INT, and enterprise-level analytic environments. This position requires the ability to innovate, modernize AI tradecraft, and drive the integration of advanced AI methodologies into customer mission sets. What You Must Have: Active TS/SCI Clearance is required 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) Expertise in advanced analytic methodologies and proven ability to implement them to increase customer satisfaction and mission effectiveness. Experience in database manipulation and maintaining structured analytic datasets. Demonstrated proficiency using analytic tools to modernize workflows and enhance analytic rigor. Ability to write clear, direct, well-structured prompts to apply analytic tools to structured and unstructured datasets using agentic AI. Experience with Python/R scientific computing libraries (NumPy, Pandas, etc.) Experience applying machine learning or statistical modeling techniques (e.g., regression, clustering, classification, time-series analysis) to mission datasets. Experience creating reusable prompt libraries and workflows to accelerate AI deployments. Experience authoring best practice documentation, building the framework for AI usage. Ability to evaluate model performance, conduct error analysis, and effectively communicate model results to both technical and non-technical audiences. Experience operationalizing analytic models into repeatable pipelines supporting intelligence production at scale. Understanding of modern data science best practices, including model governance, reproducibility, transparency, and lifecycle management. Conduct multi-INT research to augment agentic AI models supporting office operations. Experience developing new geospatial tradecraft, methods, and technologies from an operations research perspective. Ability to identify system enhancements, capability gaps, new technologies, and business case opportunities that strengthen mission delivery. US Citizenship is required. What Would be Nice to Have: Experience building and maintaining GEOINT, SIGINT, or OSINT datasets aligned to mission requirements. Experience building effective AI Agents including function calling, tool integration, and agentic system debugging. Ability to design and deliver briefings, demonstrations, and training events for users at all skill levels across mission applications. Ability to extract, model, and visualize multi-INT datasets for both descriptive and predictive analysis. Experience in applying deep learning or computer vision techniques (e.g., CNNs, segmentation, object detection) to GEOINT or multi-INT datasets. Experience with API-driven ingestion, ETL pipelines, or microservice-based analytic architectures. Ability to use AI resources programmatically through available API interfaces for data ingestion and processing. Experience with Palantir in an operational environment. Why Choose GRVTY The toughest national security challenges demand vision and ingenuity, not just resources. We deliver mission and technical expertise to outpace our adversaries. We're purpose-built to tackle the most entrenched, systemic national security issues around the world. We partner with our customers to help them overcome challenges in every corner of technology and defense-including the ones still being explored. Our growing capabilities create complementary advantages, giving on-the-ground operations the edge they need to succeed. We muster everything we have to answer every challenge presented, every day of our lives. At GRVTY, we believe that when our employees thrive, our company thrives. That's why we offer a comprehensive and competitive benefits package designed to support your well-being, growth, and work-life balance. • Robust health plan including medical, dental, and vision • Health Savings Account with company contribution • Annual Paid Time Off and Paid Holidays • Paid Parental Leave • 401k with generous company match • Training and Development Opportunities • Award Programs • Variety of Company Sponsored Events EEO Statement GRVTY, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran and will not be discriminated against on the basis of disability. Anyone requiring reasonable accommodations should email ******************** or call ************ with requested details. A member of the HR team will respond to your request within 2 business days. Know Your Rights: Workplace Discrimination is Illegal (eeoc.gov) Please review our current job openings and apply for the positions you believe may be a fit. If you are not an immediate fit, we will also keep your resume in our database for future opportunities.

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 Embtel Inc, our commitment is to be an expert provider of tailored, end-to-end enterprise-class IT solutions for mid-market and enterprise companies through high-touch customer service. Embtel offers a full suite of IT solutions including cloud and hosting solutions, managed services, ERP application management, professional services, IT hardware and top tier data centers. At Embtel Inc, our principles of leadership and innovative engineering helps customers reduce costs, improve service levels, increase revenues and gain local-to-global competitive advantage. Our customers span multiple industries including healthcare, manufacturing, financial services, retail, and government. Customers choose us because our experienced team leverages and manages mission-critical data centers, cloud, and customer infrastructure 24/7/365. Our services ensure customer data is secure, available, and helps meet their compliance requirements. Embtel Inc. helps professionals to achieve highest degree of client satisfaction through our customized training programs based on the client's business needs to empower program managers, project managers, and business analysts. Our trainers have encompassing experience in not only the tools we support, but also in project management and earned value methodology, enterprise systems, database architecture, business reengineering and more. Job Description Knowledge/Experience: Master's degree in Statistics, Mathematics, Computer Science, Informatics, Econometrics, Engineering, Experimental Science with 3+ years of experience or Bachelor's degree and 5+ years of quantitative analysis experience in data science capabilities including data mining, predictive modeling, machine learning, statistical modeling, large scale data acquisition, transformation, and structured and unstructured data analysis. Experience with database technologies, including Oracle, SAP, DB2, Teradata, MS SQL Server, SAP HANA, MySQL Qualifications quantitative analysis in data science capabilities predictive & statistical modeling Teradata, MySQL, DB2 & SQL Server Additional Information All your information will be kept confidential according to EEO guidelines.

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 _________________________________________________________________________________________________ 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 Level-3 TS/SCI-cleared Data Scientist to join our team. This role provides automation/collection support to the main team at NGA Washington. Because of this, this opportunity relies on good communication skills and a baseline knowledge of GEOINT collection and/or automation systems like JEMA. Minimum Required Qualifications: At least 5 years of related GEOINT work experience, or 2 years with a relevant Bachelor's degree. Able to work on client site 40-hours a week (very limited option for telework) Proficient with Python Experience with JEMA Preferred Qualifications: Experience with multiple intelligence types (SIGINT, OSINT, ELINT, GEOINT, MASINT, HUMINT Experience with Brewlytics, ArcPro and/or other geospatial data analysis tools Knowledge of GEOINT collection and associated NGA/NRO systems Proficiency with common programming languages including R, SQL, HTML, and JavaScript Experience analyzing geospatially enabled data Ability to learn new technologies and adapt to dynamic mission needs Ability to work collaboratively with a remote team (main gov team is based out of NGA Washington) Experience providing embedded data science/automation support to analytic teams Security Clearance Requirement: Active TS/SCI, with a willingness to take a polygraph test. Salary Range: $128,600 based on ability to meet or exceed stated requirements 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, 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 GmXfuf6Bee

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 ScientistJob Title: Senior Data Scientist Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships, and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Overview The Foundational AI team is looking for a Data Scientist who is passionate about applying concepts from Machine Learning and Artificial Intelligence problems in a business setting. The person in this role will be joining a team of leading-edge data scientists who are not just building models but are working to solve foundational business problems for the Company. The ideal candidate is comfortable working with Big data sources and able to implement and validate predictive models to provide insights and solutions for different business problems. The person in this role will be responsible for data interpretation and presentation to aid business partners in making informed data-driven decisions to improve business outcomes. The right candidate is able to collaborate with other data scientists and various internal business partners to help solve business problems using advanced ML/AI. The person in this role must be organized and follow best practices in coding and documentation. Responsibilities: • Design, develop, and deliver innovative ML/AI solutions for various data science projects. • Be responsible for documenting and articulating various data science projects across the organization following our engagement model, the Cross-Industry Standard Process for Data Mining (CRISP-DM). • Gain a clear understanding of business operations and data needed to solve problem statements for specific projects. • Pull and prepare data, train and test models, and be responsible for overall execution on projects using Mastercard operational and transaction data to glean insights for our partners. • Present your approach to the solution and model output to various business partners. • Maintain a current knowledge of advanced ML/AI tools and techniques. • Work with different product teams and be an integral part of model deployment. • Need to build and maintain strong relationships with internal Mastercard partners. About You • Having a passion for problem-solving using mathematics, statistics, machine learning, and artificial intelligence. • Ability to quickly pick up new tools and technologies. • Excellent oral and written communication skills. • Proficiency in Python/R, Hadoop, Spark, MySQL with documentation for reproducibility. • Experience in anomaly detection, supervised/ unsupervised learning, time-series data, and natural language processing. • Hands-on experience with Python packages such as Gudhi, Numpy, SciPy, Pandas, Scikit-learn, Tensorflow, Keras, NLTK, Gensim, BERT, NetworkX, etc. • Excellent organization and interpersonal skills. • Very detail-oriented with an ability to think creatively. • Strong problem-solving skills and ability to think creatively with data. • Self-motivated and capable of working independently but with a collaborative nature. • Proficient with data visualization and translating complex problems into actionable insights. #AI1Mastercard 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 USDNew York City, New York: $138,000 - $221,000 USDPurchase, New York: $132,000 - $212,000 USD