Data Scientist Jobs in Springfield, MO

Brooksource is seeking a highly skilled and collaborative Data Architect to support our client's Outage Management initiative. This role is critical in shaping the data strategy and architecture that supports real-time decision-making and executive-level reporting. You will work closely with C-suite stakeholders, development teams, and data product managers to ensure robust, scalable, and insightful data solutions. Key Responsibilities: Design and implement scalable data architectures to support the Outage Management platform, ensuring alignment with enterprise data strategy. Collaborate with C-suite stakeholders to present data-driven insights and architectural strategies in a clear, business-focused manner. Lead requirements gathering sessions with cross-functional teams to define and validate data features and reporting needs. Support development teams in building and deploying data products using AWS services such as S3, Redshift, Glue, and Lambda. Develop and maintain interactive dashboards and reports using Tableau, delivering actionable insights on outage trends and performance metrics. Write and optimize complex SQL queries for data extraction, transformation, and analysis. Utilize Python for data processing, automation, and integration tasks within the data pipeline. Ensure data quality, governance, and compliance across all data assets related to the project. Required Qualifications: Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, or a related field. 5+ years of experience in data architecture, data engineering, or a similar role. Proficiency in Python for scripting, data manipulation, and automation. Strong command of SQL for querying and managing large datasets. Hands-on experience with Tableau for building executive-level dashboards and reports. Deep understanding of AWS data services (e.g., S3, Redshift, Glue, Lambda). Experience with Alteryx for data blending and advanced analytics. Excellent communication skills with experience presenting to C-level executives. Experience working in Agile environments and collaborating with cross-functional teams. Preferred Qualifications: Experience in the telecommunications industry or with outage management systems. Familiarity with data product management and product lifecycle. Knowledge of data modeling, ETL frameworks, and orchestration tools. What's in it for you? Get your foot in the door with one of the most respected and fastest growing companies in the United States! Brooksource offers competitive Health & Dental Benefit plans, Weekly Pay Checks while on contract, 6 paid Holidays, and 401K Eligibility. About Brooksource Brooksource provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, national origin, age, sex, citizenship, disability, genetic information, gender, sexual orientation, gender identity, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state, and local laws.

Key Responsibilities Utilize Retail Link, Scintilla, and Madrid to gather, interpret, and present performance data. Analyze POS, traffic, conversion, and sales performance on Walmart.com and SamsClub.com to identify growth opportunities and diagnose performance issues. Develop and maintain weekly and monthly reporting dashboards for Walmart and Sam's Club e-commerce accounts. Monitor availability, pricing, reviews, and digital shelf performance to identify execution gaps and optimization opportunities. Collaborate with supply chain, content, marketing, and sales teams to support promotional strategies and improve item visibility. Conduct pre- and post-analysis of promotions, campaigns, and seasonal events to evaluate ROI and make data-backed recommendations. Support customer presentations by building compelling, fact-based selling stories using insights from Scintilla, Madrid, Circana, and internal systems. Partner with account leads to adjust sales planning & forecasts based on trend analysis and market inputs. Respond quickly to ad hoc data requests, producing insights with clarity and urgency for internal and external stakeholders. Stay current on Walmart/Sam's Club digital commerce tools and trends to drive best-in-class performance. Work closely with Account Managers and department leads to identify and develop new Standard operating procedures (SOPs) for analytics within the team and organization. Qualifications 2+ years of experience in sales analytics, preferably within the retail or e-commerce space; Walmart Inc experience preferred Strong proficiency with Retail Link, Excel, and data visualization/reporting tools (Power BI, Tableau, etc.). Familiarity with item setup and maintenance tools (e.g., Item 360, Sam's Club item setup). Experience working with syndicated data (IRI, SPINS, etc.) a plus. Excellent analytical, organizational, and communication skills. Ability to work cross-functionally and adapt in a fast-paced, entrepreneurial environment.

Meta's products are designed to bring people closer together and make it easier for them to share information, ideas, and experiences. We are hiring experienced Data Scientist across a variety of our product areas including Facebook, Instagram, Monetization, Integrity, Gen AI, Messenger, Reality Labs, Whatsapp, and others!As a Data Scientist, you will collaborate on a wide array of product and technical problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist (Technical Leadership) Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches. 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses. 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends. 4. Understand and identify opportunities to more responsibly leverage cutting edge technology. 5. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations. 6. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions. 7. Intellectual curiosity and drive, decisiveness, with ambiguity and complexity. **Minimum Qualifications:** Minimum Qualifications: 8. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. 9. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development. 10. Experience working effectively with multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance. 11. Experience framing and communication skills. **Preferred Qualifications:** Preferred Qualifications: 12. Masters or Ph.D. Degree in a quantitative field. 13. Experience with predictive modeling, machine learning, and experimentation/causal inference methods. **Public Compensation:** $206,000/year to $281,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Salary Range: $74,803.00 - $119,684.00 Annually Our Benefits The city offers a comprehensive benefits package which includes medical, prescription drug, dental, vision, optional life, AD&D, and FSA plans. This office also supplies wellness programs, support groups, and workshops. You can learn about our benefits here: ************************************************************** Get to Know Us Welcome to the City of Baltimore! Experience the reward of a fulfilling career and enjoy the added element of excitement in a vibrant, diverse atmosphere. The City of Baltimore offers limitless opportunities to help drive social impact, both on the job and in the community, while serving its citizens. Join us in making Baltimore a great place to live and work. In the City of Baltimore, we hire great people and provide them with the skills and opportunities to grow toward their career aspirations. If you are looking for a career change or interested in learning more, explore our opportunities and benefits plans. We are excited to have you as a part of the City of Baltimore Team! Job Summary: A Data Analyst, is an entry-level position, performs work that involves studying and interpreting data, to provide insight to decision makers. Data Analysts are responsible for gathering data, organizing information, analyzing historical results, making forecasts and projections, making recommendations, and generating Excel models, presentations, and reports. Work of this class does not involve any supervisory duties or responsibilities. Incumbents receive close supervision from a technical superior. Employees in this class work a conventional workweek, subject to evening or weekend work as required. Work is performed in an office where working conditions are normal. Work requires minimal physical exertion. Minimum Qualifications: On or before the date of filing the application, each candidate must: Education: Have a high school diploma or GED certification from an accredited institution. AND Experience: Have two years of related technical work experience. OR Equivalency Notes: Have an equivalent combination of education and experience. Licenses, Registrations, and Certificates: Have beginner skills in at least one of the following: R, Python, GIS, SQL, PowerBI, Tableau. **APPLICATION DEADLINE: Please submit your application no later than 12:00 AM on the closing date to be eligible for consideration. Knowledge, Skills, & Abilities: Baseline understanding of principles and theory within area(s) of responsibility (gained through multiple years of progressive experience, training or formal education in area of assignment) and is developing depth of knowledge and practical application. Skilled in the diagnosis, troubleshooting and/or maintenance of IT systems. New technology (as applicable): Learn to operate and maintain new technology; assist in transitions. Resolves problems requiring analysis and the discernment of the most suitable solution(s)/processes(s) available. Selects from "in the box"/best practice models/strategies to resolve problems. Uses skills and abilities to complete routine tasks at the beginning, while growing toward completing tasks of increasing complexity. Uses basic understanding of the field to perform job duties; may need some guidance on job duties; applies learning to recommend options to address unusual situations. Recognizes basic knowledge and skills and the ability to apply learning in everyday situations under direct guidance or supervision. Competent to work on several phases of computer operations, but still needs instruction and guidance for other (more complex) phases. Participates in specialized projects under direction of a higher-level IT professional. Strong verbal and written communication skills. Strong problem-solving skills Background Check Eligible candidates under final consideration for appointment to positions identified as positions of trust will be required to complete authorization for a Criminal Background Check and/or Fingerprint must be successfully completed. Probation All persons, including current City employees, selected for this position must complete a mandatory six-month probation. Eligibility Qualified candidates will be considered for vacancies as they arise, for a period of at least six months. The decision of the Director of Human Resources with respect to acceptable minimum qualifications is final. Education Accreditation Applicants' education must be obtained from an accredited institution. Education credentials obtained out of the US must be evaluated for US equivalency. Evaluation agencies information may be obtained at ************** Selection Process All candidates indicating the minimum qualifications on their applications will be placed on the eligible list without further examination. The training and experience of each candidate will be evaluated for appropriateness and quantity. It is essential, therefore, that you give complete and accurate information on your application. Vagueness or omission may prevent you from being considered for this position. Qualified candidates will not be listed in rank order. Examination Process Applicants must provide sufficient information on their application to show that they meet the minimum qualifications for this recruitment. Successful applicants will be placed on the employment certified eligible list for at least six months. The examination will consist of a rating of your education, training, and experience as presented on your application and as they relate to the requirements of the position. You may be required to complete supplemental questions to further examine specific Knowledge, Skills and Abilities of the position. Therefore, it is important that you provide complete and accurate information on your application. Financial Disclosure This position is required to complete a Financial Disclosure pursuant to Sections 7-7, 7-8, and 7-9 of the City Ethics Law. The initial financial disclosure must be submitted within 30 days of hire. Your Recruiter: Maya McEachern If you have any questions please contact Maya McEachern HR Specialist II, via email at ********************************. Baltimore City Government is an Equal Employment Opportunity Employer, and we are committed to a workplace that values diversity, equity, and inclusion. The City of Baltimore prohibits discrimination on the basis of race, color, religion, age, sex, ancestry, creed, national origin, disability status, genetics, marital status, military service, sexual orientation, gender identity/expression or any other characteristic protected by federal, state or local laws. Applicants requiring accommodation during the hiring process should contact Human Resources directly. Do not attach your request for accommodation to the application. BALTIMORE CITY IS AN EQUAL OPPORTUNITY EMPLOYER

Company: Norstella Employment Type: Full Time **Description** At Norstella, our mission is simple: to help our clients bring life-saving therapies to market quicker-and help patients in need. Founded in 2022, but with history going back to 1939, Norstella unites best-in-class brands to help clients navigate the complexities at each step of the drug development life cycle -and get the right treatments to the right patients at the right time. Each organization (Citeline, Evaluate, MMIT, Panalgo, The Dedham Group) delivers must-have answers for critical strategic and commercial decision-making. Together, via our market-leading brands, we help our clients: + Citeline - accelerate the drug development cycle + Evaluate - bring the right drugs to market + MMIT - identify barrier to patient access + Panalgo - turn data into insight faster + The Dedham Group - think strategically for specialty therapeutics By combining the efforts of each organization under Norstella, we can offer an even wider breadth of expertise, cutting-edge data solutions and expert advisory services alongside advanced technologies such as real-world data, machine learning and predictive analytics. As one of the largest global pharma intelligence solution providers, Norstella has a footprint across the globe with teams of experts delivering world class solutions in the USA, UK, The Netherlands, Japan, China and India. ** :** Norstella Real World Data (RWD) is seeking a skilled NLP Data Scientist with clinical background with a focus on Language Models to join our AI & Life Sciences Solutions team. Your expertise in processing and understanding natural language data, along with your knowledge of Electronic Health Records (EHR) and laboratory reports analysis, will be instrumental in driving our data science initiatives and innovations, particularly in the development of rich multimodal real-world datasets to expedite RWD-driven drug development in pharma. **Responsibilities:** + Employ and leverage NLP and open-source Large Language Models (LLM) such as LLama2, Mixtral, Qwen, BERT, etc., to extract, process, and interpret unstructured medical data from diverse sources like EHRs, medical notes, and laboratory reports. + Collaborate with clinical scientists and data scientists to create efficient NLP models for healthcare, exhibiting an understanding of both the technical and medical aspects of the data. + Conduct data cleaning, preprocessing, and validation to maintain the accuracy and reliability of insights gathered from NLP processes. + Validate and present data findings to stakeholders, exhibiting clear and effective communication skills. **Qualifications:** + Master's or Ph.D. degree in Computational Biology, Computer Science, Data Science, Computational Linguistics, Machine Learning, or a related analytical field. + Deep understanding and direct experience (2+ years) in handling and interpreting either Electronic Health Records (EHR) and laboratory tests results or genetic test results is a must. + Proven experience (2+ years) in NLP with a strong knowledge of NLP techniques such as Named Entity Recognition (NER), text summarization, topic modeling, etc. and their applied use in healthcare. + Expert-level understanding and practical experience (1+ years) with open-source Large Language Models (Llama2/3, Mixtral etc.), e.g., prompt engineering, inference, and fine-tuning. + Proficient in Python and SQL, with strong experience in NLP libraries such as NLTK, spa Cy, Hugging face Transformers, and deep learning libraries such as PyTorch, TensorFlow.Familiarity with common data science and ML practices, e.g., version control systems, agile methodologies, and documentation. + Experience in working with AWS cloud environment and large databases (e.g., AWS redshift). + Experience in managing ML lifecycle using open-source tools (e.g., MLflow).Detail-oriented with strong analytical and problem-solving abilities. + Excellent verbal and written communication skills, with ability to present complex data to non-technical audience. **Preferred Qualifications:** + Experience dealing with protected health information (PHI) and familiarity with healthcare-related data privacy laws such as HIPAA. + Familiarity with standard healthcare codes and terminologies such as ICD-10, CPT, LOINC, and SNOMED CT. + Experience in RAG (Retrieval-Augmented Generation) and vector store in the context of storing large volume of healthcare unstructured documents and querying those. **Benefits:** Medical and prescription drug benefits Health savings accounts or flexible spending accounts Dental plans and vision benefits Basic life and AD&D Benefits 401k retirement plan Short- and Long-Term Disability Paid parental leave Paid time off principles for success at Norstella **01: Bold, Passionate, Mission-First** We have a lofty mission to Smooth Access to Life Saving Therapies and we will get there by being bold and passionate about the mission and our clients. Our clients and the mission in what we are trying to accomplish must be in the forefront of our minds in everything we do. **02: Integrity, Truth, Reality** We make promises that we can keep, and goals that push us to new heights. Our integrity offers us the opportunity to learn and improve by being honest about what works and what doesn't. By being true to the data and producing realistic metrics, we are able to create plans and resources to achieve our goals. **03: Kindness, Empathy, Grace** We will empathize with everyone's situation, provide positive and constructive feedback with kindness, and accept opportunities for improvement with grace and gratitude. We use this principle across the organization to collaborate and build lines of open communication. **04: Resilience, Mettle, Perseverance** We will persevere - even in difficult and challenging situations. Our ability to recover from missteps and failures in a positive way will help us to be successful in our mission. **05: Humility, Gratitude, Learning** We will be true learners by showing humility and gratitude in our work. We recognize that the smartest person in the room is the one who is always listening, learning, and willing to shift their thinking. The expected base salary for this position ranges from $140,000 to $200,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus. _Norstella is an equal opportunities employer and does not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, pregnancy or maternity, gender reassignment, race, color, nationality, ethnic or national origin, religion or belief, disability or age. Our ethos is to respect and value people's differences, to help everyone achieve more at work as well as in their personal lives so that they feel proud of the part they play in our success. We believe that all decisions about people at work should be based on the individual's abilities, skills, performance and behavior and our business requirements. Norstella operates a zero-tolerance policy to any form of discrimination, abuse or harassment._ _Sometimes the best opportunities are hidden by self-doubt. We disqualify ourselves before we have the opportunity to be considered. Regardless of where you came from, how you identify, or the path that led you here- you are welcome. If you read this job description and feel passion and excitement, we're just as excited about you._ Norstella is an equal opportunity employer. All job applicants will receive equal treatment regardless of race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability or handicap, medical condition, sex (including pregnancy and pregnancy-related conditions), marital or domestic partner status, military or veteran status, gender, gender identity or expression, sexual orientation, genetic information, reproductive health decision making, or any other protected characteristic as established by federal, state, or local law.

**A Day in the Life:** At Hertz, we are at the forefront of innovation, leveraging cutting-edge technologies to build the best damage management technologies in the transportation industry. We want the brightest AI & ML minds to join our Damage Science Team to help us develop and/or maintain capabilities to: + Detect Damage via Machine Vision: Utilize computer vision techniques to accurately detect and assess damage in real-time. + Rationalize Repair Estimates and Invoices with Large Language Models (LLMs): Implement sophisticated LLMs to make intelligent repair routing decisions, ensuring repairs are conducted efficiently and cost-effectively. + Forecast Repair Needs: Develop models to predict future repair & maintenance needs based on historical data and trends. + Automate Quality Assurance: Create models to evaluate the quality of repairs and ensure they meet our high standards. We anticipate the salary to start around 160K; commensurate with experience. What You Will Do: + Formulate the strategic and tactical steps to carry out the model development lifecycle end-to-end (i.e. problem statement definition, exploratory data analysis, feature engineering, model development / tuning, and model implementation). + Build and maintain descriptive, predictive, and prescriptive models to measure the performance of the new products and services. + Cross validating production models to ensure high performance and generalizability + Define and implement best practices to generate accurate analytics, reports, visualizations, and dashboards to explain results simply and succinctly to technical, non-technical, and senior management + Build partnerships and work cross-functionally to identify use cases and opportunities to enhance operational efficiency and drive business value through positive impact on OKRs. + Work with an owner mentality to drive business impact even if that means supporting pipeline creation or decision support analytics. + Serve as a voice on how technological advancements in AI and machine learning may impact our business and the opportunities they may create. + Provide technical leadership to more junior Data Scientist team members. What We are Looking For: + 5-8 years hands-on experience in a data science role + 5+ years of data querying languages (e.g. SQL) and scripting languages (e.g. Python) + 5+ years of end-to-end machine learning model development experience (e.g. problem statement definition, exploratory data analysis, feature engineering, model development / tuning, and deployment) + Demonstrated experience using machine learning to drive a business impact + Strong experience with statistical analysis, statistical modeling, and machine learning techniques + Experience mentoring and supporting development of more junior scientists + Experience in a ML or data scientist role with a technology company + Master's degree in a quantitative field such as statistics, mathematics, data science, economics, or computer science + Preferred PhD in a quantitative field such as statistics, mathematics, data science, economics, or computer science What You'll Get: + Up to 40% off any standard Hertz Rental + Paid Time Off + Medical, Dental & Vision plan options + Retirement programs, including 401(k) employer matching + Paid Parental Leave & Adoption Assistance + Employee Assistance Program for employees & family + Educational Reimbursement & Discounts + Voluntary Insurance Programs - Pet, Legal/Identity Theft, Critical Illness + Perks & Discounts -Theme Park Tickets, Gym Discounts & more The Hertz Corporation operates the Hertz, Dollar Car Rental, Thrifty Car Rental brands in approximately 9,700 corporate and franchisee locations throughout North America, Europe, The Caribbean, Latin America, Africa, the Middle East, Asia, Australia and New Zealand. The Hertz Corporation is one of the largest worldwide airport general use vehicle rental companies, and the Hertz brand is one of the most recognized in the world. **US EEO STATEMENT** At Hertz, we champion and celebrate a culture of diversity and inclusion. We take affirmative steps to promote employment and advancement opportunities. The endless variety of perspectives, experiences, skills and talents that our employees invest in their work every day represent a significant part of our culture - and our success and reputation as a company. Individuals are encouraged to apply for positions because of the characteristics that make them unique. EOE, including disability/veteran

Job Description A role where you’re not just analyzing data—you’ll reshape the way it’s used, by developing advanced tools, optimizing databases, and creating custom solutions. This is your chance in developing cutting-edge techniques for big data preparation and analysis, sharing your expertise by publishing methods through the National Geospatial-Intelligence Agency (NGA) Tradecraft HUB, your work will become the new standard. You’ll be the architect behind data-driven insights that influence national security strategies by developing advanced techniques for querying, visualizing, and analyzing big data across intelligence disciplines to building custom tools and processes that automate data analysis, making it easier and faster for analysts to extract vital intelligence. Collaborating with Analysis and Operations Support (AOS) and NGA CENTCOM teams to expose new datasets and create migration strategies for legacy data systems. Utilzing Python, R, ArcGIS, SPSS, and more, while continuously innovating new ways to optimize data for faster, more efficient analysis. Every model, tool, or solution you create will support real-world implications, directly contributing to national security and global stability. Join XTS today as we support NGA in extracting actionable intelligence from vast datasets, unlocking patterns and relationships that could change the course of key missions! Requirements Current active Top Secret / SCI clearance You have achieved the accomplishment of a Bachelor’s Degree + 7 years of experience / Associate’s Degree + 8 years / 10+ years of relevant experience. Proven ability to query, aggregate, optimize big data, using tools such as ArcGIS, Tableau, SPSS, SAS, Excel or similar to optimize systems for improved performance and visualization. Expertise in programming languages such as Python, R, and Visual Basic to extract patterns, relationships, behaviors from large datasets and build statistical models to solve complex problems. Understanding of GEOINT standards, ability to apply structured processes to manage data, and capacity to solve complex geospatial intelligence challenges. Capable of providing senior-level support, direction, and advice to leadership on processes and technology, as well as performing quality assurance checks to the team. Desired Experience / Skills Familiarity with Activity-Based Intelligence (ABI) methodologies and their application. Experience with GEOINT analytical databases and reporting tools such as ArcServer, etc. in order to manage and analyze geospatial data, ensuring data integrity, delivering timely and accurate intelligence in order to perform high-level spatial analysis and optimizing workflow. If you are passionate about tackling some of the most complex challenges facing the world today—where every second counts, leveraging data to make a real-world impact, please send your resume directly to Lanchi Lai, (**********************) 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. XTS is deeply committed to providing continuous training and career advancement opportunities, fostering the development of future leaders. 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. Powered by JazzHR gAIBvgaUCM

**_What Data Science contributes to Cardinal Health_** The Data and Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. **_Department/Team Overview_** We are looking for a Data Scientist, Operations Research Analyst to join our Decision Science Solutions (DS2) team. Our mission is to improve our pharmaceutical supply chain's performance to better service our pharmacy customers, so that they can focus on their patients. The DS2 team consists of Supply Chain Data Scientists, Operations Research Analysts, Data Analysts, and Data Engineers. We work cross-functionally to solve problems leveraging a variety of skillsets and perspectives to achieve the best outcomes. We perform analyses, recommend solutions, and build products to enable better decision making in the following areas: + Distribution center network design and capacity planning + Facility layout and design; warehouse capacity and utilization + Warehouse process improvement + Labor management and automation + Inventory management: stocking strategies and replenishment policies + Transportation planning: first mile, middle mile, and final mile + Sales and operations planning (resource management in response to demand changes) **_Responsibilities_** As a Data Scientist in Supply Chain Operations, you will apply your knowledge of business processes, systems, data, and analytical tools to explore and identify root causes of problems. You will forecast future demand, build optimization and simulation models, and communicate actionable insights. You will work with cross-functional project teams to ideate, develop, and recommend solutions. Specific responsibilities are to: + Listen to clients and ask questions to clearly define business problems. + Perform exploratory analysis to determine root causes of problems and confirm/disprove hypotheses. + Develop predictive models to forecast future volumes that will drive capacity/resource needs. + Develop customer and product segmentation models and design our supply chain to support differentiated services. + Build optimization and simulation models to recommend capacity investments, resource plans, policy changes, and process changes to improve supply chain performance. + Develop prescriptive models using 3rd party optimization/simulation software and custom-build models. + Recommend solutions. Summarize the financial and operational impact of the recommendation and pros/cons of alternatives considered. + Work with Data Engineers to create data models for analyses. **_Qualifications_** + 2-4 years of experience, preferred + Bachelor's degree in a quantitative field, or equivalent work experience, preferred + MS/MBA with focus in Data Science, Operations Research, Industrial Engineering, or Statistics preferred + Demonstrated ability to apply Data Science and Operations Research techniques to logistics and supply chain management problems preferred + Experience with Structured Query Language (SQL) and working with databases preferred + Experience with data analysis tools such as R, Python, SQL, Alteryx, Tableau, and SAS preferred + Experience with Strategic Network Design, Simulation (e.g., AnyLogic), or Mathematical Programming (e.g., CPLEX) software preferred + Proven ability to work as part of a team as the key analytical resource + Excellent communication skills with an ability to explain quantitative analysis in simple business terms + Intellectual curiosity, humility, genuine respect and desire to help others + Bias for action and passion for driving change + Ability to travel up to 5% **_What is expected of you and others at this level_** + Applies comprehensive knowledge and a thorough understanding of concepts, principles, and technical capabilities to perform varied tasks and projects + May contribute to the development of policies and procedures + Works on complex projects of large scope + Develops technical solutions to a wide range of difficult problems + Solutions are innovative and consistent with organization objectives + Completes work; independently receives general guidance on new projects + Work reviewed for purpose of meeting objectives + May act as a mentor to less experienced colleagues **Anticipated salary range:** $93,500 - $133,600 **Bonus eligible:** No **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 7/1/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

Job Title: Lead Data Engineer Department: Data Analytics and Accountability Pay Grade: P160 FLSA Status: Exempt Reports to: Director III - Data Analytics and Accountability GENERAL PURPOSE The position is responsible for supporting district efforts related to data analysis, data visualization, and data use. This position has a specific focus on developing and coordinating systems that maintain, develop, and support district wide data reporting and analytics that align to the district's strategic goals and ongoing initiatives. ESSENTIAL JOB FUNCTIONS Oversees visualization of data and data reporting to support district initiatives and collaborates to ensure the accuracy and availability of these tools to support a quality experience for the end user. Oversees and coordinates data analysis and reporting efforts to support district wide initiatives. Assists with the ongoing implementation of district software including best practices related to data reporting tools, databases, and data systems ensuring high availability and performance of district data. Develops, designs, and tests the data warehouse and all related extraction, transformation, and loads (ETL) of the data functions to ensure complete and accurate data is updated into the district data warehouse. Coordinates and supervises data management processes to ensure timely extraction, transformation, and loads (ETL) of the data functions to ensure complete and accurate data is updated into the district data warehouse. Collaborates and advises the team on data warehouse function and design. Troubleshoots reporting systems, system applications and the supporting software identifying and correcting malfunctions and other operational issues. Oversees and coordinates the monitoring of student counts and related attributes by building and program, ensuring that counts are accurate, related trends are generated, variances are communicated, policies and procedures are followed. Collaborates with a variety of internal stakeholders to align district data analysis and visualization efforts with district priorities and to meet evolving needs. Collaborates with the Data Engineer and Data Analyst to lead data projects, ensure data flows efficiently and continuously to other databases and analytics tools, and to create and optimize data pipelines, ETL, and strategic SQL queries. Fulfills data requests as assigned. Learn new software and reporting tools quickly and with initiative. Responds to inquiries from a variety of District personnel for providing support and technical advice regarding best practices for data use and visualization. Performs other related duties as required/assigned. QUALIFICATIONS AND REQUIREMENTS Education and Experience Bachelor's Degree from an accredited college or university, required. Master's Degree, preferred Minimum of three (3) years of job-related experience with increasing levels of responsibility, preferred. Certificates, Licenses and Other Special Requirements Certification / training or relevant experience in Excel, SQL, Python, and PowerBI preferred. Training or relevant experience with data warehouses, including using extraction, transformation, and loading (ETL) to regularly update and maintain the warehouse function. Must pass a Criminal Background Clearance, the results of which must be satisfactory to the District, required. Knowledge, Skills, and Abilities Knowledge of basic math, including calculations using fractions, percentages, and/or ratios. Knowledge based competencies required to satisfactorily perform the functions of the job include: knowledge of Structured Query Language (SQL), Microsoft SQL Server, Microsoft SQL Server Reporting Services (SSRS), SQL Server Integration Studio (SSIS), Python, Microsoft Excel, Microsoft Access, and general knowledge of Cognos Business Intelligence. Theory of data warehousing, database schema Skill to perform multiple, technical tasks with a need to routinely upgrade skills in order to meet changing job conditions. Skill based competencies required to perform the functions of the job, including operating standard office equipment including utilizing pertinent software applications and developing effective working relationships. Ability to read technical information, compose a variety of documents, and/or facilitate group discussions. Ability to analyze situations to define issues, draw conclusions, and create action plans. Ability to schedule a number of activities, meetings, and/or events; gather, collate, and/or classify data; and use job-related equipment. Ability to work with others under a wide variety of circumstances; working with data utilizing defined but different processes; and operate equipment using defined methods. Ability to work with a significant diversity of individuals and/or groups; work with data of widely varied types and/or purposes; and utilize job-related equipment. Ability to collaborate and communicate effectively with internal and external stakeholders. Ability to apply critical thinking/problem solving to improve work processes. Ability to work as part of a team; analyze situations and make accurate decisions; work on multiple projects; and deal with frequent interruptions and changing work priorities. Ability to work with detailed information; maintain confidentiality; and communicate with diverse groups. Working Conditions and Physical Requirements Work environment is primarily inside, where the noise and temperature levels are moderate. The work is light work that requires exerting up to 20 pounds of force occasionally, and/or up to 10 pounds of force to move objects. Must possess the physical ability to perceive the nature of sounds, make rational decisions through sound logic and deductive processes, express or exchange ideas by the spoken word, substantial movements (motions) with the hands, wrists, and/or fingers, and discern letters or numbers at a given distance. Additionally, the following physical abilities are required: balancing, climbing, crawling, crouching, feeling, grasping, handling, hearing, kneeling, manual dexterity, mental acuity, reaching, repetitive motion, speaking, standing, stooping, talking, visual acuity and walking.

*Senior (Lead) Data Engineer * *Responsibilities: * · *Lead the design, development, and implementation of scalable data pipelines and ELT processes using Databricks, DLT, dbt, Airflow, and other tools. * · *Collaborate with stakeholders to understand data requirements and deliver high-quality data solutions. * · *Optimize and maintain existing data pipelines to ensure data quality, reliability, and performance. * · *Develop and enforce data engineering best practices, including coding standards, testing, and documentation. * · *Mentor junior data engineers, providing technical leadership and fostering a culture of continuous learning and improvement. * · *Monitor and troubleshoot data pipeline issues, ensuring timely resolution and minimal disruption to business operations. * · *Stay up to date with the latest industry trends and technologies, and proactively recommend improvements to our data engineering practices. * *Requirements:* · *8+ years of experience in data engineering and/or architecture, with a focus on big data technologies. * · *Extensive production experience with Databricks, Apache Spark, and other related technologies. * · *Familiarity with orchestration and ELT tools like Airflow, dbt, etc. * · *Expert SQL knowledge. * · *Proficiency in programming languages such as Python, Scala, or Java. * · *Strong understanding of data warehousing concepts. * · *Experience with cloud platforms such as Azure, AWS, Google Cloud. * · *Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment. * · *Strong communication and leadership skills, with the ability to effectively mentor and guide team members. * *Preferred Qualifications: * · *Experience with machine learning and data science workflows. * · *Knowledge of data governance and security best practices. * · *Certification in Databricks, Azure, Google Cloud or related technologies. * Job Types: Full-time, Contract Pay: $70.00 - $80.00 per hour Benefits: * Dental insurance * Health insurance * Vision insurance Schedule: * Day shift Experience: * Databricks: 3 years (Preferred) * Spark: 3 years (Preferred) Ability to Relocate: * Kansas City, MO 64111: Relocate before starting work (Required) Work Location: In person

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

A role where you're not just analyzing data-you'll reshape the way it's used, by developing advanced tools, optimizing databases, and creating custom solutions. This is your chance in developing cutting-edge techniques for big data preparation and analysis, sharing your expertise by publishing methods through the National Geospatial-Intelligence Agency (NGA) Tradecraft HUB, your work will become the new standard. You'll be the architect behind data-driven insights that influence national security strategies by developing advanced techniques for querying, visualizing, and analyzing big data across intelligence disciplines to building custom tools and processes that automate data analysis, making it easier and faster for analysts to extract vital intelligence. Collaborating with Analysis and Operations Support (AOS) and NGA CENTCOM teams to expose new datasets and create migration strategies for legacy data systems. Utilzing Python, R, ArcGIS, SPSS, and more, while continuously innovating new ways to optimize data for faster, more efficient analysis. Every model, tool, or solution you create will support real-world implications, directly contributing to national security and global stability. Join XTS today as we support NGA in extracting actionable intelligence from vast datasets, unlocking patterns and relationships that could change the course of key missions! Requirements Current active Top Secret / SCI clearance You have achieved the accomplishment of a Bachelor's Degree + 7 years of experience / Associate's Degree + 8 years / 10+ years of relevant experience. Proven ability to query, aggregate, optimize big data, using tools such as ArcGIS, Tableau, SPSS, SAS, Excel or similar to optimize systems for improved performance and visualization. Expertise in programming languages such as Python, R, and Visual Basic to extract patterns, relationships, behaviors from large datasets and build statistical models to solve complex problems. Understanding of GEOINT standards, ability to apply structured processes to manage data, and capacity to solve complex geospatial intelligence challenges. Capable of providing senior-level support, direction, and advice to leadership on processes and technology, as well as performing quality assurance checks to the team. Desired Experience / Skills Familiarity with Activity-Based Intelligence (ABI) methodologies and their application. Experience with GEOINT analytical databases and reporting tools such as ArcServer, etc. in order to manage and analyze geospatial data, ensuring data integrity, delivering timely and accurate intelligence in order to perform high-level spatial analysis and optimizing workflow. If you are passionate about tackling some of the most complex challenges facing the world today-where every second counts, leveraging data to make a real-world impact, please send your resume directly to Lanchi Lai, ([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. XTS is deeply committed to providing continuous training and career advancement opportunities, fostering the development of future leaders. 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.

**_What Data Science contributes to Cardinal Health_** The Data and Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. **_Department/Team Overview_** We are looking for a Data Scientist, Operations Research Analyst to join our Decision Science Solutions (DS2) team. Our mission is to improve our pharmaceutical supply chain's performance to better service our pharmacy customers, so that they can focus on their patients. The DS2 team consists of Supply Chain Data Scientists, Operations Research Analysts, Data Analysts, and Data Engineers. We work cross-functionally to solve problems leveraging a variety of skillsets and perspectives to achieve the best outcomes. We perform analyses, recommend solutions, and build products to enable better decision making in the following areas: + Distribution center network design and capacity planning + Facility layout and design; warehouse capacity and utilization + Warehouse process improvement + Labor management and automation + Inventory management: stocking strategies and replenishment policies + Transportation planning: first mile, middle mile, and final mile + Sales and operations planning (resource management in response to demand changes) **_Responsibilities_** As a Data Scientist in Supply Chain Operations, you will apply your knowledge of business processes, systems, data, and analytical tools to explore and identify root causes of problems. You will forecast future demand, build optimization and simulation models, and communicate actionable insights. You will work with cross-functional project teams to ideate, develop, and recommend solutions. Specific responsibilities are to: + Listen to clients and ask questions to clearly define business problems. + Perform exploratory analysis to determine root causes of problems and confirm/disprove hypotheses. + Develop predictive models to forecast future volumes that will drive capacity/resource needs. + Develop customer and product segmentation models and design our supply chain to support differentiated services. + Build optimization and simulation models to recommend capacity investments, resource plans, policy changes, and process changes to improve supply chain performance. + Develop prescriptive models using 3rd party optimization/simulation software and custom-build models. + Recommend solutions. Summarize the financial and operational impact of the recommendation and pros/cons of alternatives considered. + Work with Data Engineers to create data models for analyses. **_Qualifications_** + 2-4 years of experience, preferred + Bachelor's degree in a quantitative field, or equivalent work experience, preferred + MS/MBA with focus in Data Science, Operations Research, Industrial Engineering, or Statistics preferred + Demonstrated ability to apply Data Science and Operations Research techniques to logistics and supply chain management problems preferred + Experience with Structured Query Language (SQL) and working with databases preferred + Experience with data analysis tools such as R, Python, SQL, Alteryx, Tableau, and SAS preferred + Experience with Strategic Network Design, Simulation (e.g., AnyLogic), or Mathematical Programming (e.g., CPLEX) software preferred + Proven ability to work as part of a team as the key analytical resource + Excellent communication skills with an ability to explain quantitative analysis in simple business terms + Intellectual curiosity, humility, genuine respect and desire to help others + Bias for action and passion for driving change + Ability to travel up to 5% **_What is expected of you and others at this level_** + Applies comprehensive knowledge and a thorough understanding of concepts, principles, and technical capabilities to perform varied tasks and projects + May contribute to the development of policies and procedures + Works on complex projects of large scope + Develops technical solutions to a wide range of difficult problems + Solutions are innovative and consistent with organization objectives + Completes work; independently receives general guidance on new projects + Work reviewed for purpose of meeting objectives + May act as a mentor to less experienced colleagues **Anticipated salary range:** $93,500 - $133,600 **Bonus eligible:** No **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 7/1/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

Brooksource is seeking a highly skilled and collaborative Data Architect to support our client's Outage Management initiative. This role is critical in shaping the data strategy and architecture that supports real-time decision-making and executive-level reporting. You will work closely with C-suite stakeholders, development teams, and data product managers to ensure robust, scalable, and insightful data solutions. Key Responsibilities: • Design and implement scalable data architectures to support the Outage Management platform, ensuring alignment with enterprise data strategy. • Collaborate with C-suite stakeholders to present data-driven insights and architectural strategies in a clear, business-focused manner. • Lead requirements gathering sessions with cross-functional teams to define and validate data features and reporting needs. • Support development teams in building and deploying data products using AWS services such as S3, Redshift, Glue, and Lambda. • Develop and maintain interactive dashboards and reports using Tableau, delivering actionable insights on outage trends and performance metrics. • Write and optimize complex SQL queries for data extraction, transformation, and analysis. • Utilize Python for data processing, automation, and integration tasks within the data pipeline. • Ensure data quality, governance, and compliance across all data assets related to the project. Required Qualifications: • Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, or a related field. • 5+ years of experience in data architecture, data engineering, or a similar role. • Proficiency in Python for scripting, data manipulation, and automation. • Strong command of SQL for querying and managing large datasets. • Hands-on experience with Tableau for building executive-level dashboards and reports. • Deep understanding of AWS data services (e.g., S3, Redshift, Glue, Lambda). • Experience with Alteryx for data blending and advanced analytics. • Excellent communication skills with experience presenting to C-level executives. • Experience working in Agile environments and collaborating with cross-functional teams. Preferred Qualifications: • Experience in the telecommunications industry or with outage management systems. • Familiarity with data product management and product lifecycle. • Knowledge of data modeling, ETL frameworks, and orchestration tools. What's in it for you? Get your foot in the door with one of the most respected and fastest growing companies in the United States! Brooksource offers competitive Health & Dental Benefit plans, Weekly Pay Checks while on contract, 6 paid Holidays, and 401K Eligibility. About Brooksource Brooksource provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, national origin, age, sex, citizenship, disability, genetic information, gender, sexual orientation, gender identity, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state, and local laws. Job Type: Contract Pay: $90.00 - $95.00 per hour Benefits: * 401(k) * 401(k) matching * Dental insurance * Health insurance * Life insurance * Paid time off * Vision insurance Schedule: * 8 hour shift * Monday to Friday Work Location: Hybrid remote in Maryland Heights, MO 63043

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page. **Required Skills:** Data Scientist Responsibilities: 1. Collect, organize, interpret, and summarize statistical data in order to contribute to the continued growth of company infrastructure. 2. Apply experience in quantitative analysis and data mining to improve, and optimize across a variety of domains with an emphasis on long-term and strategic initiatives. 3. Work cross-functionally to define priorities and develop business intelligence project roadmaps in synergy with partner teams. 4. Drive execution through fast iteration. 5. Ensure coordination of projects across related workflows to maximize impact and avoid duplication and overlaps. 6. Drive efficient data exploration and modeling. 7. Build pragmatic, scalable, and statistically rigorous solutions to large-scale web, mobile and data infrastructure problems by leveraging or developing statistical and machine learning methodologies. 8. Work on problems of moderate scope where analysis of situations or data requires a review of a variety of factors. 9. Telecommuting is permitted from anywhere in the U.S. **Minimum Qualifications:** Minimum Qualifications: 10. Requires a Bachelor's degree (or foreign equivalent) in Statistics, Mathematics, Data Analytics, Computer Science, Engineering, Cognitive Science, or a related field. Requires completion of an undergraduate-level course, research project, or internship involving the following: 11. 1. Quantative Analysis 12. 2. A/B Testing and Research Design 13. 3. Statistical Modeling 14. 4. Data Mining 15. 5. Data Visualization and Storytelling 16. 6. SQL 17. 7. Python. **Public Compensation:** $221,024/year to $235,400/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

div class="col col-xs-7 description" id="job-description" span style="font-size:14px;"span style="line-height:115%;"span style="font-family:Aptos, sans-serif;"span style="line-height:115%;"span style="font-family:'Times New Roman', serif;"Mission Data Scientist - GEOINT Exploitation /span/span/span/spanbr/font face="Times New Roman, serif"St. Louis, MO/fontbr/span style="line-height:115%;"span style="font-family:Aptos, sans-serif;"span style="line-height:115%;"span style="font-family:'Times New Roman', serif;"$108,000/span/span/span/spanbr/br/span style="line-height:115%;"span style="font-family:Aptos, sans-serif;"span style="line-height:115%;"span style="font-family:'Times New Roman', serif;"Turn data into discovery, and insight into action. /span/span/span/spanbr/br/span style="line-height:115%;"span style="font-family:Aptos, sans-serif;"span style="line-height:115%;"span style="font-family:'Times New Roman', serif;"The mission is real. The stakes are high. Your skills are the difference between noise and clarity. /span/span/span/spanbr/br/span style="line-height:115%;"span style="font-family:Aptos, sans-serif;"span style="line-height:115%;"span style="font-family:'Times New Roman', serif;"As a Mission Data Scientist, you operate at the intersection of GEOINT, advanced analytics, and technical innovation, transforming complex, multidimensional datasets into precise, actionable insights. /span/span/span/spanbr/br/span style="line-height:115%;"span style="font-family:Aptos, sans-serif;"span style="line-height:115%;"span style="font-family:'Times New Roman', serif;"The Mission Data Scientist will support NGA by leading efforts to optimize and automate analytic workflows across intelligence environments. Using your command of ABI methodologies, scripting and statistical techniques, you'll illuminate patterns and relationships hidden in the data./span/span/span/spanbr/br/span style="line-height:115%;"span style="font-family:Aptos, sans-serif;"span style="line-height:115%;"span style="font-family:'Times New Roman', serif;"Build clarity from chaos and deliver mission-critical solutions with speed, accuracy, and insight. Contact Josh at a href="/cdn-cgi/l/email-protection#ace6c3dfc4d9cd82c8c3dedfc9d5ecd4d8df81c5c2cf82cfc3c1" style="color:#467886;text-decoration:underline;"span class="__cf_email__" data-cfemail="12587d617a67733c767d6061776b526a66613f7b7c713c717d7f"[email protected]/span/a! /span/span/span/spanbr/br/span style="line-height:115%;"span style="font-family:Aptos, sans-serif;"span style="line-height:115%;"span style="font-family:'Times New Roman', serif;"REQUIREMENTS: /span/span/span/span/spanulli style="margin-bottom:11px;"span style="font-size:14px;"span style="line-height:115%;"span style="font-family:Aptos, sans-serif;"span style="line-height:115%;"span style="font-family:'Times New Roman', serif;"Active TS/SCI security clearance/span/span/span/span/span/lili style="margin-bottom:11px;"span style="font-size:14px;"span style="line-height:115%;"span style="font-family:Aptos, sans-serif;"span style="line-height:115%;"span style="font-family:'Times New Roman', serif;"Bachelor's degree with at least 7 years of relevant experience/span/span/span/span/spanul style="list-style-type:circle;"li style="margin-bottom:11px;"span style="font-size:14px;"span style="line-height:115%;"span style="font-family:Aptos, sans-serif;"span style="line-height:115%;"span style="font-family:'Times New Roman', serif;"OR an Associate's degree with at least 8 years of relevant experience/span/span/span/span/span/lili style="margin-bottom:11px;"span style="font-size:14px;"span style="line-height:115%;"span style="font-family:Aptos, sans-serif;"span style="line-height:115%;"span style="font-family:'Times New Roman', serif;"OR at least 10 years of applicable experience in lieu of degree/span/span/span/span/span/li/ul/lili style="margin-bottom:11px;"span style="font-family:'Times New Roman', Times, serif;"span style="font-size:14px;"Demonstrated expertise in big data analysis and statistical modeling using Python, Pandas, Jupyter Notebook, R and MatLab to extract, test, and refine patterns and behaviors from complex, multi-source GEOINT datasets/span/span/lili style="margin-bottom:11px;"span style="font-size:14px;"span style="line-height:115%;"span style="font-family:Aptos, sans-serif;"span style="line-height:115%;"span style="font-family:'Times New Roman', serif;"Proven ability to engineer and optimize databases (SQL, NoSQL, Postgre, Oracle) for high-speed querying, input/output, and visualization across structured and unstructured environments/span/span/span/span/span/lili style="margin-bottom:11px;"span style="font-size:14px;"span style="line-height:115%;"span style="font-family:Aptos, sans-serif;"span style="line-height:115%;"span style="font-family:'Times New Roman', serif;"Applied advanced spatial and temporal analysis using ArcGIS, Tableau, and Excel to validate data integrity, support analytic workflows, and produce actionable intelligence products/span/span/span/span/span/lili style="margin-bottom:11px;"span style="font-size:14px;"span style="line-height:115%;"span style="font-family:Aptos, sans-serif;"span style="line-height:115%;"span style="font-family:'Times New Roman', serif;"Developed repeatable, automated analytic solutions and data pipelines aligned with NGA tradecraft standards, contributing to training resources and advanced tradecraft publication /span/span/span/span/span/lili style="margin-bottom:11px;"span style="font-size:14px;"span style="line-height:115%;"span style="font-family:Aptos, sans-serif;"span style="line-height:115%;"span style="font-family:'Times New Roman', serif;"Demonstrated leadership in data strategy and collaboration, advising government stakeholders, mentoring analysts, and aligning exploitation methods with Activity Based Intelligence (ABI) principles/span/span/span/span/span/li/ulbr/span style="font-size:14px;"span style="line-height:115%;"span style="font-family:Aptos, sans-serif;"bispan style="line-height:115%;"span style="font-family:'Times New Roman', serif;"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. XTS is deeply committed to providing continuous training and career advancement opportunities, fostering the development of future leaders. 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./span/span/i/b/span/span/spanbr/ /div

**_What Data Science contributes to Cardinal Health_** The Data and Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. **_Department/Team Overview_** We are looking for a Data Scientist, Operations Research Analyst to join our Decision Science Solutions (DS2) team. Our mission is to improve our pharmaceutical supply chain's performance to better service our pharmacy customers, so that they can focus on their patients. The DS2 team consists of Supply Chain Data Scientists, Operations Research Analysts, Data Analysts, and Data Engineers. We work cross-functionally to solve problems leveraging a variety of skillsets and perspectives to achieve the best outcomes. We perform analyses, recommend solutions, and build products to enable better decision making in the following areas: + Distribution center network design and capacity planning + Facility layout and design; warehouse capacity and utilization + Warehouse process improvement + Labor management and automation + Inventory management: stocking strategies and replenishment policies + Transportation planning: first mile, middle mile, and final mile + Sales and operations planning (resource management in response to demand changes) **_Responsibilities_** As a Data Scientist in Supply Chain Operations, you will apply your knowledge of business processes, systems, data, and analytical tools to explore and identify root causes of problems. You will forecast future demand, build optimization and simulation models, and communicate actionable insights. You will work with cross-functional project teams to ideate, develop, and recommend solutions. Specific responsibilities are to: + Listen to clients and ask questions to clearly define business problems. + Perform exploratory analysis to determine root causes of problems and confirm/disprove hypotheses. + Develop predictive models to forecast future volumes that will drive capacity/resource needs. + Develop customer and product segmentation models and design our supply chain to support differentiated services. + Build optimization and simulation models to recommend capacity investments, resource plans, policy changes, and process changes to improve supply chain performance. + Develop prescriptive models using 3rd party optimization/simulation software and custom-build models. + Recommend solutions. Summarize the financial and operational impact of the recommendation and pros/cons of alternatives considered. + Work with Data Engineers to create data models for analyses. **_Qualifications_** + 2-4 years of experience, preferred + Bachelor's degree in a quantitative field, or equivalent work experience, preferred + MS/MBA with focus in Data Science, Operations Research, Industrial Engineering, or Statistics preferred + Demonstrated ability to apply Data Science and Operations Research techniques to logistics and supply chain management problems preferred + Experience with Structured Query Language (SQL) and working with databases preferred + Experience with data analysis tools such as R, Python, SQL, Alteryx, Tableau, and SAS preferred + Experience with Strategic Network Design, Simulation (e.g., AnyLogic), or Mathematical Programming (e.g., CPLEX) software preferred + Proven ability to work as part of a team as the key analytical resource + Excellent communication skills with an ability to explain quantitative analysis in simple business terms + Intellectual curiosity, humility, genuine respect and desire to help others + Bias for action and passion for driving change + Ability to travel up to 5% **_What is expected of you and others at this level_** + Applies comprehensive knowledge and a thorough understanding of concepts, principles, and technical capabilities to perform varied tasks and projects + May contribute to the development of policies and procedures + Works on complex projects of large scope + Develops technical solutions to a wide range of difficult problems + Solutions are innovative and consistent with organization objectives + Completes work; independently receives general guidance on new projects + Work reviewed for purpose of meeting objectives + May act as a mentor to less experienced colleagues **Anticipated salary range:** $93,500 - $133,600 **Bonus eligible:** No **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 7/1/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

Brooksource is seeking a highly skilled and collaborative Data Engineer to support our client's Outage Management initiative. This role is critical in shaping the data strategy and architecture that supports real-time decision-making and executive-level reporting. You will work closely with C-suite stakeholders, development teams, and data product managers to ensure robust, scalable, and insightful data solutions. *Key Responsibilities:* * Design and implement scalable data architectures to support the Outage Management platform, ensuring alignment with enterprise data strategy. * Collaborate with C-suite stakeholders to present data-driven insights and architectural strategies in a clear, business-focused manner. * Lead requirements gathering sessions with cross-functional teams to define and validate data features and reporting needs. * Support development teams in building and deploying data products using AWS services such as S3, Redshift, Glue, and Lambda. * Develop and maintain interactive dashboards and reports using Tableau, delivering actionable insights on outage trends and performance metrics. * Write and optimize complex SQL queries for data extraction, transformation, and analysis. * Utilize Python for data processing, automation, and integration tasks within the data pipeline. * Ensure data quality, governance, and compliance across all data assets related to the project. *Required Qualifications:* * 5+ years of experience in data engineering, or a similar role. * Proficiency in Python for scripting, data manipulation, and automation. * Strong command of SQL for querying and managing large datasets. * Hands-on experience with Tableau for building executive-level dashboards and reports. * Deep understanding of AWS data services (e.g., S3, Redshift, Glue, Lambda). * Excellent communication skills with experience presenting to C-level executives. * Experience working in Agile environments and collaborating with cross-functional teams. *Preferred Qualifications:* * Experience in the telecommunications industry or with outage management systems. * Familiarity with data product management and product lifecycle. * Knowledge of data modeling, ETL frameworks, and orchestration tools. * Experience with Alteryx for data blending and advanced analytics. *What's in it for you?* Get your foot in the door with one of the most respected and fastest growing companies in the United States! Brooksource offers competitive Health & Dental Benefit plans, Weekly Pay Checks while on contract, 6 paid Holidays, and 401K Eligibility. *About Brooksource* Brooksource provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, national origin, age, sex, citizenship, disability, genetic information, gender, sexual orientation, gender identity, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state, and local laws. Job Type: Contract Pay: $60.00 - $70.00 per hour Benefits: * Dental insurance * Health insurance * Vision insurance Schedule: * 8 hour shift * Monday to Friday Ability to Commute: * St. Louis, MO 63045 (Preferred) Work Location: In person

Job DescriptionMission Data Scientist – GEOINT Exploitation St. Louis, MO $108,000 Turn data into discovery, and insight into action. The mission is real. The stakes are high. Your skills are the difference between noise and clarity. As a Mission Data Scientist, you operate at the intersection of GEOINT, advanced analytics, and technical innovation, transforming complex, multidimensional datasets into precise, actionable insights. The Mission Data Scientist will support NGA by leading efforts to optimize and automate analytic workflows across intelligence environments. Using your command of ABI methodologies, scripting and statistical techniques, you’ll illuminate patterns and relationships hidden in the data. Build clarity from chaos and deliver mission-critical solutions with speed, accuracy, and insight. Contact Josh at *************************! REQUIREMENTS: Active TS/SCI security clearance Bachelor’s degree with at least 7 years of relevant experience OR an Associate’s degree with at least 8 years of relevant experience OR at least 10 years of applicable experience in lieu of degree Demonstrated expertise in big data analysis and statistical modeling using Python, Pandas, Jupyter Notebook, R and MatLab to extract, test, and refine patterns and behaviors from complex, multi-source GEOINT datasets Proven ability to engineer and optimize databases (SQL, NoSQL, Postgre, Oracle) for high-speed querying, input/output, and visualization across structured and unstructured environments Applied advanced spatial and temporal analysis using ArcGIS, Tableau, and Excel to validate data integrity, support analytic workflows, and produce actionable intelligence products Developed repeatable, automated analytic solutions and data pipelines aligned with NGA tradecraft standards, contributing to training resources and advanced tradecraft publication Demonstrated leadership in data strategy and collaboration, advising government stakeholders, mentoring analysts, and aligning exploitation methods with Activity Based Intelligence (ABI) principles 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. XTS is deeply committed to providing continuous training and career advancement opportunities, fostering the development of future leaders. 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. Powered by JazzHR RDSIlx97Qx