Data Science Jobs 2026 (Now Hiring) – Smart Auto Apply

Magic’s mission is to build safe AGI that accelerates humanity’s progress on the world’s most important problems. We believe the most promising path to safe AGI lies in automating research and code generation to improve models and solve alignment more reliably than humans can alone. Our approach combines frontier-scale pre-training, domain-specific RL, ultra-long context, and inference-time compute to achieve this goal. Software Engineer – Data Tooling Role Overview We're looking for someone to lead developer experience and data tooling for our pre-training data team. This person will build internal tools and infrastructure that make the team more productive—dashboards, CLIs, data exploration UIs, and the systems that tie them together. The role is focused on DX and tooling—we're looking for someone who genuinely loves hacking on things, shipping fast, and tinkering. What You'll Do Lead tooling efforts across the stack: build systems, continuous integration, CLI tools, and internal web UIs Build internal tools for exploring datasets, labeling data, reviewing data quality, and tracking data inventory Improve ergonomics of data infrastructure—IO patterns in Ray/dataflow jobs, dataset tracking, pipeline observability Identify opportunities by engaging with the team, listening to pain points, and proactively improving workflows Raise the bar on code organization, packaging, and engineering best practices What We're Looking For Nice-to-Haves Strong software engineering fundamentals Genuine care for developer experience and best practices in code organization Good communicator who engages with teammates to understand their needs Bias toward action—sees something broken and fixes it Based in San Francisco (this role is in-office) Ideal Background (in rough priority order) Open source contributor — someone in the mold of tools like Ruff, uv, or similar developer-facing projects Build systems / CI experience — has written or maintained build systems, CI pipelines, or developer tooling at scale Startup product dev — comfortable moving fast, shipping throwaway prototypes, iterating quickly Not Required Deep ML/AI expertise (this is a tooling role, not a modeling role) Prior experience specifically in "data engineering" pipelines—we care more about tooling instincts than domain experience Why This Role You'll have significant ownership over how a high-performing team works day-to-day. The scope is broad, the feedback loops are fast, and the work directly impacts how quickly we can move on core research and data efforts. Our culture: Integrity. Words and actions should be aligned Hands-on. At Magic, everyone is building Teamwork. We move as one team, not N individuals Focus. Safely deploy AGI. Everything else is noise Quality. Magic should feel like magic Compensation, benefits, and perks (US): Equity is a significant part of total compensation, in addition to salary 401(k) plan with 6% salary matching Generous health, dental and vision insurance for you and your dependents Unlimited paid time off Visa sponsorship and relocation stipend to bring you to SF, if possible A small, fast-paced, highly focused team

Integra is hiring entrepreneurial and quantitatively-skilled students/graduates with data analytics experience who are interested in translating their academic interests into the real-world applications to identify, investigate and analyze fraud in various domains, including finance, healthcare and cryptocurrencies. Integra is a boutique economic consulting and forensic analytics firm that has worked with government agencies and private entities to analyze many complex and high-profile schemes. Our team applies data science and econometric techniques and intensely values each employee to take initiative and to be curious while operating as a data detective to solve complex problems. Our main office is also conveniently located adjacent to the UT Austin campus which enables us to closely interface with the academic environment and the university’s top intellectual talent. As an intern you will code software used to automate processes, scrape and collect large data sets, and perform advanced econometric analysis. You will have flexibility in the programming language used, but scripting languages such as R, Python, and SQL are used most often. The internship is also designed to give you: Exposure to how technical degrees such as economics, statistics, finance, engineering, computer science, and physics are used in industry Opportunities to work on team-based and individual projects Visibility to industry experts Job Qualifications: Familiarity with R, SQL, Python, or other scripting languages Proficiency in Microsoft Excel Attention to detail with big-picture understanding Ability to work well in teams Highest ethical standards All education levels (Bachelor's, Master's, or Ph.D.) welcome Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Benefits: Company parties Competitive salary Opportunity for advancement Training & development At Jackson Hewitt, and its independently owned and operated Franchisees, we provide an invaluable service in guiding our clients through the tax codes, rules, and processes. We do this with integrity, quality, and consistency. The role you play is critical to our success and together we are “Working Hard for the Hardest Working Americans”. This is our mission and it’s a large part of why we work here. Together we are highly passionate about what we do, and how we can help our clients. Doing taxes is much more than filling in some forms. For most Americans, their tax return is the biggest single financial event of the year, and it can be quite an emotional experience. That’s where you come in! We are here to ease their stress and provide expert customer service and tax knowledge.Flexible Schedules Available: Day shift Night shift Weekends Weekdays Full-time or Part-time The Greeter/Receptionist serves as the face of the Jackson Hewitt brand during periods of high client traffic/demand. This position interacts with and engages potential and existing clients by conversing and reviewing marketing materials to create interest in making tax preparation appointments. This seasonal role also supports other operational tasks such as appointment scheduling, answering the phone, and check distribution, when appropriate, to foster a positive and efficient client experience. What you'll do here: Greets all potential clients in a friendly and professional manner Enter a client's initial information only - name, address and phone number into Jackson Hewitt Profiler system. Engages in conversation with potential clients to share information about Jackson Hewitt’s services, products, and promotions Offers promotional items to potential clients by walking the store floor (for our vendor partners) or marketing to other local businesses near storefronts Assists with scheduling tax preparation appointments Monitors client flow at the location and keeps clients engaged during periods of wait time Monitors client activity and takes initiative to answer phones or assist with check distribution by following established procedures when Tax Preparers are with other clients Skills you'll bring for success: Good interpersonal and communication skills Customer service or sales experience preferred High School Diploma/ GED, or equivalent related business experience Reliable transportation and a valid driver's license and insurance preferred Compensation: $16.00 - $19.00 per hour Working at Jackson Hewitt Jackson Hewitt is an innovator with nearly 6,000 locations, and we’re on a mission to change the face of the tax industry. We are an industry-leading provider of full-service individual, federal, and state income tax preparation with offices across the country. Jackson Hewitt is always seeking to improve its financial products, promotions, and partnerships so clients get more. Taxes are fun (really!) Jackson Hewitt is proud to offer free tax training as well as continuing education for tax preparers across the country. With nearly 6,000 locations to choose from, there's likely a Jackson Hewitt location near you, including at your local Walmart store. Tax preparers have flexible scheduling and various rewards too. PTIN Certification: Yes By submitting this form, I hereby acknowledge that most Jackson Hewitt locations are operated by independent franchisees and not Jackson Hewitt or its affiliates. I further acknowledge that franchisees are independent employers and separate companies and employers from Jackson Hewitt Inc., and set their own employment policies and practices. Franchisees are the exclusive employer of their employees and as such are solely responsible for all employment-related matters and decisions in their locations. Specifically, with regard to employees of franchisees, such franchisees, and not Jackson Hewitt, will have exclusive control over all employment-related decisions, including decisions concerning hiring, firing, wages, conditions of employment, discipline, staffing, or any other day-to-day employment issue. Jackson Hewitt Inc. will have no obligation or right to control any franchise employment issue relating to employees of a Jackson Hewitt franchisee. By applying for a job at a franchise-operated location, I understand that the information I provide will be forwarded to the franchisee in order for that organization to reach out to me and process and evaluate my application. I acknowledge that Jackson Hewitt will not receive a copy of my employment application and will have no involvement in any employment decisions regarding me, including whether I receive an interview or whether I am hired to work for the franchisee. I understand that I need to contact the relevant franchisee for information about its privacy practices. Any communications opt-out that I submit in any franchisee’s job application process is specific to that franchisee and will not be communicated to any other entity.

The Information Technology department at Artisan Partners is responsible for providing technology solutions that are reliable, adaptable, integrated, scalable and maintainable. The key clients of the Information Technology group span the entire investment process, from portfolio management to operations. The Data Analytics Developer role for the Data Services team is primarily responsible for the architecture, development and support of activities related to the preparation, analysis, visualization and distribution of data. This individual may at times be responsible for the design, coding, testing, debugging and documentation of various data analytics tools, workflows and processes. Exceptional interpersonal skills, strong written and oral communication skills are critical to successful performance in this role. Responsibilities The candidate can expect to: Provide ownership of data wrangling, visualization, and analytic platforms, which include performing upgrades, monthly testing, access management, and troubleshooting Act as a subject-matter expert in business intelligence and analytics, helping various business and technical teams express ideas with data Communicate technical options to business teams to help them determine the appropriate implementation strategy for analytic and reporting related tasks Partner with data domain owners to empower self-service creation and management of data products, aligned to consumption modernization practices Contribute to enterprise education programs that raise data literacy and encourage self-service data capabilities Research and pilot tools to enhance Artisan’s ability to deliver data analytic solutions Implement innovative and comprehensive workflows to assist business units with automation where appropriate Provide ongoing support and assistance with existing platforms and projects Complete special assignments as needed Qualifications The successful candidate will possess strong analytical skills and attention to detail. Additionally, the ideal candidate will possess: Bachelor’s Degree in Computer Science or related field Keen interest in gaining business knowledge and driven to solve challenges through technology Proven track record of delivering high quality IT systems and applications, preferably within the financial industry, with at least 3-5 years of experience in a Data Analytics/Engineering role Highly developed problem-solving and troubleshooting skills Ability to multi-task and manage several projects at once Ability to clearly present technical concepts to a non-technical business audience Ability to interact effectively with peers in a fast-paced environment and under aggressive deadlines Ability to perform various data sourcing, transformation, storage and analytics tasks Extensive SQL experience Experience with data wrangling tools is strongly preferred (Alteryx, Trifacta, SSIS) Experience with data visualization tools is strongly preferred (Tableau, PowerBI, AWS Quicksight) Experience with cloud solutions and APIs preferred Knowledge of statistical based data analysis and experience with R or Python is a strong plus Privacy Notice for California Applicants Artisan Partners Limited Partnership is an equal opportunity employer. Artisan Partners does not discriminate on the basis of race, religion, color, national origin, gender, age, disability, marital status, sexual orientation or any other characteristic protected under applicable law. All employment decisions are made on the basis of qualifications, merit and business need. #LI-Hybrid/span>

Oxy is an international energy company with assets primarily in the United States, the Middle East and North Africa. We are one of the largest oil and gas producers in the U.S., including a leading producer in the Permian and DJ basins, and offshore Gulf of Mexico. Our midstream and marketing segment provides flow assurance and maximizes the value of our oil and gas. Our chemical subsidiary OxyChem manufactures the building blocks for life-enhancing products. Our Oxy Low Carbon Ventures subsidiary is advancing leading-edge technologies and business solutions that economically grow our business while reducing emissions. We are committed to using our global leadership in carbon management to advance a lower-carbon world. Visit oxy.com for more information. Occidental strives to attract and retain talented employees by investing in their professional development and providing rewarding opportunities for personal growth. Our goal is to meet the highest employer standards by ensuring the health and safety of our employees, protecting the environment and positively impacting our communities where we do business. IT Advisor Petrophysical Data Management This person will lead initiatives in petrophysical data management, integration, and digital transformation. This role is critical to advancing our initiatives to enable seamless integration, management, and utilization of petrophysical and other subsurface data types within the OSDU Platform. Technical Skills 10+ years in petrophysical data management and/or other subsurface data management disciplines. A deep understanding and working knowledge of all types of petrophysical data and other subsurface data types, including: well logs, core data, fluid properties, rock typing/facies, geochemical, geo-mechanical data types. Collect organize, and validate well log data (depth adjustments, SP baseline offset, etc) and be familiar with applications and methodologies for performing quality control on petrophysical data sets to ensure compliance with company standards. Good working knowledge of the curve mnemonics and units for open hole, cased hole, MWD, LWD, etc and their supporting well log file types (e.g. las, DLIS, FMI, lis, etc). Strong understanding of logging rock and fluid properties, porosity, permeability and saturation and competent in the use of petrophysical data analysis, databases, and visualization software, such as, Interactive Petrophysics, Techlog, LasWorx, Recall, iPoint, etc. Lead or contributor to an enterprise-wide ingestion, transformation, and management of petrophysical data into the Open Source Data Universe (OSDU) platform. Support integration of petrophysical data with other subsurface datasets (e.g., seismic, geological, drilling & completion, production) into OSDU. Ability to work with OSDU’s open APIs and microservice architecture for ingestion, search, and retrieval of subsurface data. Proficiency in AWS, for deploying and managing OSDU environments. Knowledge of container orchestration (e.g., Kubernetes) and cloud-native services is essential. Competence in Python or similar languages for data extraction, transformation, and loading workflows. Familiarity with DataOps principles for streamlining OSDU integration and operational workflows. Experience with data lifecycle management in the OSDU and subsurface data management environment. Familiarity with data science techniques (e.g., statistical analysis, predictive modeling, etc), machine learning algorithms, and its applications to petrophysical data. Deep understanding of cloud computing and data lake environments for large scale data processing (e.g., AWS, Azure, etc). · Ability to troubleshoot data ingestion and access issues, ensuring compliance with data governance and security policies. Background collaborating with petrophysical teams to develop data governance frameworks, ensure metadata quality and effective management, and establish security policies for handling petrophysical and geological datasets. Excellent working knowledge of logging operations, drilling, coring, geodetics, well and log headers, downhole units of measure, and API numbering standards. Familiarity with 3 rd party applications and data consortiums for well and log header information. Demonstrates expertise in the complete well lifecycle, including the integration of petrophysical data into reservoir modelling and informed decision-making processes. Comprehensive understanding of the end-to-end well lifecycle workflow within the OSDU platform. Knowledge of data integration techniques, ensuring that petrophysical data from various sources can be aligned and interpreted consistently. Deep understanding of OSDU quality control tools (e.g. Geoquest Alloy) and business intelligence/data visualization software, such as (e.g. PowerBI, PowerAutomate, Spotfire, etc). Advanced Excel skills (e.g. for data analysis and reporting) and experience with database management systems (e.g. SQL, Oracle, etc). Strong understanding of machine learning, AWS, and data analytics techniques applied to petrophysical data. Communication & Leadership Excellent verbal and written communication abilities for effectively conveying complex petrophysical concepts to stakeholders without technical backgrounds. Project management skills to lead and oversee various petrophysical studies and initiatives. Remains current with the latest technological trends in data management and IT, especially in the realm of OSDU, AI/Machine Learning, and petrophysics. Demonstrate leadership and the ability to guide teams or stakeholders in understanding data governance standards and policies. Engages with senior leadership and contribute to strategic decision making. Experience with creating and presenting technical reports, presentations, and whitepapers in a variety of settings (e.g. petrophysical business units, upper level management, and internal and external conferences). Strong project management and collaborative skills to handle complex tasks and work in cross-functional and multi-discipline teams Demonstrates leadership ability complemented by robust data management expertise, effective interpersonal skills, and a commitment to embracing new challenges, deriving insights, and implementing solutions accordingly. Proactive and self-driven in managing conflicting priorities, determine next steps without direction, and deliver results within strict deadlines. Problem solving skills to address data quality issues, ensure effective data governance, and improve data management processes. Possesses a detail-oriented approach and demonstrates the ability to ensure data consistency, accuracy, and completeness across multiple systems. Qualifications & Key Responsibilities Bachelor’s or master's degree in Geoscience, Petroleum Engineering, Data Science, or related field. Strong understanding of petrophysical data types (e.g., well logs, core data, interpretations). Hands-on experience with the OSDU Data Platform, including data ingestion, schema mapping, and API usage. Expertise in industry-specific software tools like iPoint, Recall, IP (Interactive Petrophysics), Danomics, Techlog, OpenWorks, and Petrel. Collaborates with petrophysicists, geoscientists, petro/geo techs, data scientists, and software developers to ensure process improvement with data quality, accessibility, and usability. Advanced SQL skills for data querying and integration, and proficiency in Python, AI, and cloud technologies. Integration of AI/ML models into petrophysical workflows for data quality, prediction, and automation. Design and implement QC processes for master-well data migration into OSDU. Develop custom schemas and alias types to overcome OSDU limitations. Applied business rules and technical assurance protocols to ensure data integrity and lineage. Excellent technical and analytical skills including abilities to extract, manipulate, correct, and analyze data using Excel pivot tables, reports, and scripts. Ability to manage conflicting priorities and deliver results within strict deadlines. Excellent interpersonal skills to build relationships with internal and external stakeholders. Understanding of data governance, metadata management, and data quality frameworks. Excellent problem-solving skills and ability to work in cross-functional teams. Active listener who can understand complex and technical conversations about data issues, develop creative solutions, and implement into the production environment. Ability to interact with other professionals in an integrated, multi-disciplinary, and cultural environment that achieves common team goals and drives positive results. Troubleshoot data ingestion and access issues, ensuring compliance with data governance and security policies Recruitment Fraud It has come to our attention various individuals and/or organizations are contacting people falsely pretending to recruit on behalf of Oxy. Please be aware that these recruiting scams and communications do not originate nor are they associated with our recruitment process. All Oxy job postings and offers will require a completed application through our company website. Oxy does not charge a fee at any stage of the recruiting process. We will never: Ask you to pay for applications, interviews, meetings, processing, training or for any other fees Use recruiting or placement agencies that charge candidates an advance fee of any kind or • Request personal information such as passport and bank account details at an early stage of our recruitment process. We recommend against responding to unsolicited business propositions or offers from people you don't know. Do not disclose your personal or financial details. If you believe you have been the victim of a recruiting scam, please contact your local police department. All qualified applicants will receive consideration for employment without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Replies within 24 hours Benefits: 401(k) 401(k) matching Bonus based on performance Company parties Employee discounts Flexible schedule Opportunity for advancement Training & development Wellness resources Job Summary: We are seeking a detail-oriented and analytical Data Analyst to join our dynamic tax team. The successful candidate will play a crucial role in ensuring the accuracy and integrity of tax-related data. The Data Analyst will be responsible for collecting, organizing, and analyzing tax and financial data to support tax preparation and compliance, reporting, and strategic decision-making. Key Responsibilities: Data Collection and Compilation: Gather and compile relevant financial data from various sources, including client forms, internal systems, financial statements, and third-party reports. Ensure the completeness and accuracy of tax-related information. Data Analysis and Interpretation: Conduct thorough analysis of financial data to identify trends, anomalies, and potential tax implications. Tax Compliance: Assist in the preparation of tax returns by providing accurate and well-organized data. Collaborate with tax professionals to ensure compliance with local, state, and federal tax laws. Quality Assurance: Perform regular audits and reviews of tax data to maintain data accuracy and integrity. Implement and maintain data quality controls to minimize errors and discrepancies. Reporting: Generate comprehensive reports summarizing tax-related data analysis for internal stakeholders. Communicate findings and insights in a clear and understandable manner. Process Improvement: Identify opportunities for process improvement in tax data management and implement efficient solutions. Stay informed about changes in tax regulations and adjust data processes accordingly. Qualifications: Obtain IRS PTIN Pass Background check Proven experience in data analysis, preferably in a tax or finance-related role. Proficiency in Microsoft tools and learning new software (e.g., Excel, SQL). Excellent attention to detail and organizational skills. Strong communication and collaboration skills. Ability to work under tight deadlines and manage multiple tasks simultaneously. Willingness to serve people Preferred Qualifications: Professional certification such as CPA or CMA. Familiarity with tax software and ERP systems. Bachelor's degree in Accounting, Finance, or a related field. If you are a highly motivated individual with a passion for data analysis, we encourage you to apply for this rewarding position. Join our team and contribute to the success of our finance department. 3 month seasonal role with opportunity to go full timeP erks: Hourly pay + competitive bonus program Flexible Schedule Options Heath & wellness benefits 401K and other perks Corporate discount program Free tax preparation training and PTIN registration Free continuing tax education Enrolled Agent materials and testing reimbursement Compensation: $16.00 - $18.00 per hour Working at Jackson Hewitt Jackson Hewitt is an innovator with nearly 6,000 locations, and we’re on a mission to change the face of the tax industry. We are an industry-leading provider of full-service individual, federal, and state income tax preparation with offices across the country. Jackson Hewitt is always seeking to improve its financial products, promotions, and partnerships so clients get more. Taxes are fun (really!) Jackson Hewitt is proud to offer free tax training as well as continuing education for tax preparers across the country. With nearly 6,000 locations to choose from, there's likely a Jackson Hewitt location near you, including at your local Walmart store. Tax preparers have flexible scheduling and various rewards too. PTIN Certification: Yes By submitting this form, I hereby acknowledge that most Jackson Hewitt locations are operated by independent franchisees and not Jackson Hewitt or its affiliates. I further acknowledge that franchisees are independent employers and separate companies and employers from Jackson Hewitt Inc., and set their own employment policies and practices. Franchisees are the exclusive employer of their employees and as such are solely responsible for all employment-related matters and decisions in their locations. Specifically, with regard to employees of franchisees, such franchisees, and not Jackson Hewitt, will have exclusive control over all employment-related decisions, including decisions concerning hiring, firing, wages, conditions of employment, discipline, staffing, or any other day-to-day employment issue. Jackson Hewitt Inc. will have no obligation or right to control any franchise employment issue relating to employees of a Jackson Hewitt franchisee. By applying for a job at a franchise-operated location, I understand that the information I provide will be forwarded to the franchisee in order for that organization to reach out to me and process and evaluate my application. I acknowledge that Jackson Hewitt will not receive a copy of my employment application and will have no involvement in any employment decisions regarding me, including whether I receive an interview or whether I am hired to work for the franchisee. I understand that I need to contact the relevant franchisee for information about its privacy practices. Any communications opt-out that I submit in any franchisee’s job application process is specific to that franchisee and will not be communicated to any other entity.

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Legal Data Services Manager - REMOTE. In this role, you will drive strategic and operational excellence across all data quality initiatives, ensuring client-focused data quality programs. You will lead a team dedicated to enhancing business development and marketing strategies, integrating CRM systems tailored for the legal sector. This position requires a blend of technical expertise and leadership skills, fostering a culture of continuous improvement and innovation within data management. Accountabilities Develop and implement a comprehensive data quality strategy aligned with business goals. Lead the Data Quality Services team, promoting cross-functional collaboration. Manage daily operations of the Data Quality Services team for timely delivery. Collaborate with teams and stakeholders to optimize resource allocation. Establish data quality standards and best practices for data accuracy. Utilize advanced data quality tools and technologies based on performance insights. Act as the primary contact for clients regarding data quality initiatives. Conduct client workshops and training sessions to share insights and recommendations. Identify and pursue new business opportunities in the legal sector. Develop marketing materials that highlight data quality services and capabilities. Work with the marketing team to expand reach within target markets. Promote the use of generative AI tools to enhance data quality processes. Implement AI-driven solutions for data profiling, cleansing, and validation. Establish data quality assurance processes including profiling and remediation. Ensure adherence to data governance practices among stakeholders. Create metrics and dashboards to monitor performance and inform decisions. Provide regular reports on key performance indicators to leadership. Requirements Bachelor’s degree in Data Science, Computer Science, or related field. 7+ years of experience in data quality management or related field. Experience leading data quality teams with a focus on the legal sector. Proficiency with data quality tools and business intelligence platforms. Strong knowledge of SQL and familiarity with programming languages like Python. Experience with CRM systems in business development and marketing. Excellent analytical skills for transforming complex data sets. Demonstrated ability to implement process improvements. Strong business acumen for identifying new opportunities in the legal sector. Experience in executing integrated marketing strategies. Exceptional verbal and written communication skills. Benefits Promote a healthy work/life balance. Provide well-being initiatives and support. Offer shared parental leave and study assistance. Facilitate sabbaticals for long-term goals. Encourage participation in continuous learning and development. Why Apply Through Jobgether? We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Company: NICO National Indemnity Company Want to work for a company with unparalleled financial strength and stability that offers “large company” benefits with an exciting, friendly, and “small company” atmosphere? Our companies, as members of the Berkshire Hathaway group of Insurance Companies, provides opportunities for professionals interested in just that. Hours: Flexible between 8:00 a.m. - 5:00 p.m. Monday through Friday 15-20 hours per week depending on the applicant's schedule More hours available in Summer (up to 40 hours per week) This internship will give the qualified candidate an opportunity to obtain valuable experience in accounting and finance. Duties involve collaborating with others as well as working independently and may include the following: Actively review and audit accounting process with a focus on inter-company balances. Assist with the preparation of various schedules needed for annual financial statements and to meet new reporting requirements. Complete monthly/quarterly accounts receivable reconciliations and other selected general ledger account reconciliations as needed. Assist with the cash reconciliations and general ledger coding. Collaborate with others to assist with compiling information for management, auditors, and accountants. Ad hoc Internet research, spreadsheet preparation, some clerical responsibilities such as filing, copying, scanning and data organization. Assists with gathering information, updating files and other miscellaneous tasks related to the company’s conversion to a new general ledger system. During this internship, the student will learn: To map accounts receivable workflows and outline procedural gaps To challenge process and assist in driving change To query the general ledger, reconcile accounts and discuss results with management To work independently in a professional business environment Qualifications: Junior class standing or completion of Intermediate Accounting Accounting, Math, I.T. or Finance major and maintain full-time course load during Spring and Fall semesters Proficiency with personal computers and software such as Excel, PowerPoint, Access and Word Excellent grammar, proofreading and oral / written communication skills Punctual Excellent organization skills Ability to meet deadlines We want you to be involved! We offer Employee Resource Groups for volunteering, connecting with others, social gatherings, and professional development. We also regularly seek employees input through companywide surveys. We care about your health and wellbeing! Our Wellness program is integrated into the Company culture with an online wellness portal that offers a year-round, one-stop-shop to manage and track all areas of health, our Omaha office boasts a complimentary state-of-the-art onsite fitness center, and a robust wellness program. Benefits, Perks and more! We offer retirement and savings plan with immediate enrollment with 100% employer match up to 5%, Medical, Dental and Vision for regular, full-time employees and eligible dependents, a dedicated Learning & Development program for employees to grow personally and professionally, 100% upfront Educational Reimbursement program, subsidized downtown parking, competitive time off policies including parental leave, an Employee Assistance program and much more!

About Total Deployment Solutions Total Deployment Solutions (TDS) is a nationwide information technology services provider with 14 years of experience delivering innovative, business-critical solutions. We specialize in AI and GPU deployments, comprehensive data center support, IMAC services - desktop relocation, ensuring organizations transition seamlessly into new or evolving work environments. Our teams manage every detail, from workstation setup to ongoing desktop support, so clients can operate without disruption. Trusted by enterprise and data center partners, TDS continues to lead and adapt to the evolving technology landscape with a focus on reliability, precision, and long-term partnership. Position Overview TDS is currently seeking a dependable, adaptable and skilled individual possessing hands-on experience in fieldwork. This role entails supporting a diverse array of tasks related to deployment, including but not limited to the construction of containment structures, assembly of cable tray structures, installation of low voltage cabling, rack and stack operations, and labeling. Responsibilities Assist with the installation, testing and maintenance of low voltage cabling (Cat6, Fiber) Support the setup of data center infrastructure, including racks, cable management, and device mounting Perform labeling and basic troubleshooting tasks Collaborate with team members to ensure deployment tasks are completed on schedule Maintain a clean, organized, and safe work environment Execute miscellaneous physical tasks as required (e.g., moving equipment, staging gear, organizing supplies) Qualifications: OSHA 10/30 Certification. Demonstrated reliability and punctuality are essential. Ability to follow instructions and quickly adapt in the field. Scissor lift operator license is highly desirable. Experience with low voltage cabling (LVC) or data center operations is advantageous. Ability to lift and carry boxes up to 40lbs. Valid driver’s license and reliable transportation. For further details, please visit www.totaldeployment.com . Job Type: Temporary, 6-12 Weeks Pay: $25-$35 per hour Benefits: Competitive compensation with opportunities for advancement Training and development programs for motivated individuals Potential opportunity to join our travel team A supportive, team-oriented work environment Schedule: 8 AM - 5 PM, Monday through Friday. Please note that the schedule may fluctuate depending on client needs. Ability to Commute: Plano, TX (75023) Work Location: In-person

Position Summary... Job Description SummaryAre you a data enthusiast with a passion for transforming raw data into valuable insights? Join our dynamic Data Lake Engineering Team at Walmart/VIZIO as a Senior Data Engineer. You'll have the opportunity to work with cutting-edge technologies, drive impactful data projects, and contribute to the future of data engineering at one of the world’s leading companies. What you'll do... About the Team: Our Data Lake Engineering Team operates at the heart of Walmart/VIZIO's data strategy, focusing on building scalable data solutions and pipelines. We are committed to leveraging advanced data techniques to unlock business value, drive innovation, and support decision-making across the organization. In this role, you'll play a critical part in enhancing our data infrastructure and delivering high-performance data solutions. What You’ll Do: Design and implement ETL processes for data integration. Manage and optimize data pipelines for analytics and operational use. Develop and maintain data models and schemas. Utilize SQL, Python, and big data tools to transform and analyze data. Collaborate with cross-functional teams to support data-driven projects. Ensure data quality and governance standards are met. What You’ll Bring: Proficiency in Python, Pyspark, SQL, and/or Scala. Experience with relational SQL and NoSQL databases. Expertise in AWS cloud services and data pipeline tools like Apache Airflow. Knowledge of big data tools such as Hadoop, Spark, and Kafka. Strong understanding of data formats like Avro, Parquet, and JSON. Hands-on experience in full-stack web development and REST APIs. A BS or MS in Computer Science or a similar relevant field. 5+ years of experience in data engineering and cloud-based ecosystems. At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices .Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. For information about benefits and eligibility, see One.Walmart . The annual salary range for this position is $99,000.00 - $198,000.00 Additional compensation includes annual or quarterly performance bonuses.Additional compensation for certain positions may also include : - Stock ㅤ ㅤ ㅤ ㅤ ‎ Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Option 1: Bachelor’s degree in Computer Science and 3 years' experience in software engineering or related field. Option 2: 5 years’ experience insoftware engineering or related field. Option 3: Master's degree in Computer Science and 1 year’s experience in software engineering or relatedfield.2 years' experience in data engineering, database engineering, business intelligence, or business analytics. Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Data engineering, database engineering, business intelligence, or business analytics, ETL tools and working with large data sets in the cloud, Master’s degree in Computer Science or related field and 3 years' experience in software engineering, We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture. Primary Location... 55 Madison St, Denver, CO 80206-5419, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

Who We Are International Justice Mission ( IJM ) is the global leader in protecting vulnerable people from violence around the world. Our team of over 1,300 professionals are at work worldwide in over 20 countries. Together we are on a mission torescue millions, protect half a billion, and make justice unstoppable. We are a global community that cares for one another. W e believe that the way we work is as important as the results we achieve. We provide professional excellence with joy and celebration to all those we serve. The Need For over 25 years, IJM has pioneered the work to protect vulnerable people from violence. 9 out of 9 times in the last decade, IJM’s Justice System Strengthening Projects have reduced slavery and violence between 50 and 85% for very large populations of people in po verty. As we grow to expand our impact to protect 500 million people from violence , we are seeking a Director, Data & Insights. This position is responsible for leading IJM’s Global Programs Data & Insights team, housing IJM’s world-leading expertise and best practices in using data to protect people in poverty from modern slavery and violence against women and children (VAWC). This role also serves as a strategic advisor to the Chief Program Officer and the Global Program Council (GPC), providin g data-informed insights on portfolio and program performance, risks, and opportunities. This position is based in the Washington, DC area and is available to be hybrid (onsite Tuesdays & Thursdays). It reports to the Chief Program Officer a nd is only available for candidates with the right to work in the US. Responsibilities : Leadership and Management Provide leadership to the organization through active contribution to leaderships teams and forums. Provide data-driven, research-based business intelligence recommendations for key strategies and decisions. Set and direct the strategy for the Data & Insights business unit. Build, lead, and manage the Data & Insights team. Provide direction to and oversight of Data & insights staff. Lead on strategic initiatives within the Global Programs Division and across the organization, while modeling IJM’s values for all. Documentation, Reporting & Data Management Responsible for reporting processes and associated visualization tools & dashboards. Responsible for reporting to Global Resources, Executive, and other audiences. Responsible for accurate requirements documentation, backlogs, development & testing processes, and data quality processes. Establish data quality and data governance policies and procedures. Strategy & Knowledge Development & Implementation Build consensus around future needs for business intelligence & analytics throughout the organization. Develop phased roadmaps for business intelligence & analytics products and tools in partnership with CPO, GPC, and other Global Programs leader. Ongoing development of self-service reporting systems and special ad hoc analysis. Networking & Partnership Responsible for development and maintenance of excellent working relationships with key counterparts across Global Technology Solutions; Legal, Governance, Risk, and Compliance; Global Programs, regions, and programs; and other internal and external contacts. Policies and Procedures Responsible for all data-related policies, standards, business processes, and tools. General Tasks Interview, hire, and onboard new staff . Coordinate team workload, prioritization, and output. Qualifications : Bachelor’s degree. At least 12 years of escalating professional experience , ideally with enterprise data systems and international organizations/companies. At least 5 years in senior leadership role with personnel management experience. Training in business intelligence, data analytics, and reporting . Experience with Salesforce reporting and T ableau strongly preferred. Experience working with remote teams, including across cultures. Ability to successfully manage, motivate, mentor, and retain skilled prospect development, business intelligence and analytics staff. Ability to convey technical information and data insights to non-technical staff. Experience with Salesforce or another enterprise level CRM is preferred. Ability to extract, transform, load, and visualize data from various data sources. Training in data hygiene and data quality techniques. Knowledge of data analytics techniques. Knowledge of data visualization best practices. Knowledge of non-profit finance requirements. Knowledge of US and global data privacy regulations. Critical Qualities: Eager commitment to IJM's Core Values: Christian, Professional and Bridge-Building ; Analytical and strategic thinker; Driven and results oriented; Patient and works well under stress; Strong written and oral communication, including an ability to communicate well across cultures; Winsome and team-oriented with a sustained positive attitude; and Strong ethic of service and a passion for IJM. Application P rocess: Upload Resume, Cover Letter & Statement of Faith* in one PDF document . *What is a statement of faith? A statement of faith should describe your Christian faith and how you see it as relevant to your involvement with IJM. The statement can either be incorporated into the cover letter or submitted as a separate document and should include, at a minimum, a description of your spiritual disciplines (prayer, study, etc.) and your current fellowship or place of worship. What does IJM have to offer? Comprehensive Medical/Dental/Vision benefits Monthly commuter and parking benefits in the DC metro area Retirement benefit options Paid leave starting at 23 days 1 2 holidays (plus early release the day prior) Daily, quarterly , and annual community spiritual formation Robust staff care resources IJM holds strict safeguarding principles and a zero tolerance to violations of the Safeguarding Policy, Protection against Sexual Exploitation, Abuse and Harassment Policy, and Code of Ethics. Candidate selection is based on technical competence, recruitment, selection and hiring criteria subject to assessing the candidate ’ s value congruence and thorough background, police clearance, and reference check processes. At IJM, we’re committed to building a diverse workforce through fair and equitable employment practices. IJM encourages people of any race, color, age, sex, marital status or political ideology to apply for employment. While we welcome everyone into this work, we truly believe that the work we are doing is God’s work, not our own, and practice spiritual disciplines together daily. That’s why we legally require under SEC. 2000e-1 [Section702] of Title VII of the Civil Rights Act of 1964 that all employees practice a mature orthodox Christian faith, as defined by the Apostles’ Creed. IJM requires a background check, police clearance and thorough review of references with an employment offer and/or employment contract.

Job Title: Data Scientist (Junior) Location: Patuxent River, MD Time Type : Full-time Clearance Requirement: DoD Active SECRET clearance is required, and must be eligible for TS/SCI Employee Type: W2 or 1099 Citizenship: US Citizen, no Dual Citizenship Job Description: NexThreat is currently recruiting for a Data Scientist, Junior to support the Naval Air Warfare Center - Aircraft Division (NAWCAD) at Patuxent River Naval Air Station in Lexington Park, MD. The Data Scientist will develop analytics methodologies and processes to extract actionable insights from large, complex data sets to support naval aviation operations, platform readiness, and mission effectiveness. The role requires applying machine learning, statistical modeling, data cleansing, and automation to drive predictive and prescriptive analytics, with a strong emphasis on security, reliability, and interoperability within DoD/Navy standards. The candidate will collaborate with cross-functional teams, including cybersecurity, systems engineering, software development, and operations, to deliver data-driven solutions and operationalize analytics. Responsibilities: ·Identify, design, and implement analytics methods and tools to extract knowledge from large data sets and support decision-making for fleet readiness and sustainment ·Prepare and preprocess data (data cleansing, normalization, integration from diverse sources) to enable robust modeling and analytics ·Develop and deploy predictive and prescriptive models (e.g., forecasting, anomaly detection, maintenance optimization) using appropriate ML/statistical techniques ·Automate data processing and analytics workflows through scripting and orchestration to improve efficiency and reproducibility ·Ensure data security and compliance with Navy/CMMC-like standards, including data handling, access controls, and auditing requirements ·Support transition and operationalization of analytics solutions, including training, handover packages, and knowledge transfer to operators and maintainers ·Maintain currency with technological advances in data science, AI/ML, cybersecurity, and Navy/government data practices Requirements: ·Must have a bachelor’s degree in a technical or scientific field from an accredited college or university ·Less than 3 years of experience performing work related to the labor category functional description ·DoD Active SECRET clearance is required, and must be eligible for TS/SCI Desired/Preferred Qualifications: ·One of the following certifications: CCNA Security, CySA+, GICSP, GSEC, Security+ CE, SSCP and an OS/CE Certification/Qualification Achieved ·Experience in working with DoD or U.S. Navy We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Legal Data Services Manager - REMOTE. In this role, you will drive strategic and operational excellence across all data quality initiatives, ensuring client-focused data quality programs. You will lead a team dedicated to enhancing business development and marketing strategies, integrating CRM systems tailored for the legal sector. This position requires a blend of technical expertise and leadership skills, fostering a culture of continuous improvement and innovation within data management. Accountabilities Develop and implement a comprehensive data quality strategy aligned with business goals. Lead the Data Quality Services team, promoting cross-functional collaboration. Manage daily operations of the Data Quality Services team for timely delivery. Collaborate with teams and stakeholders to optimize resource allocation. Establish data quality standards and best practices for data accuracy. Utilize advanced data quality tools and technologies based on performance insights. Act as the primary contact for clients regarding data quality initiatives. Conduct client workshops and training sessions to share insights and recommendations. Identify and pursue new business opportunities in the legal sector. Develop marketing materials that highlight data quality services and capabilities. Work with the marketing team to expand reach within target markets. Promote the use of generative AI tools to enhance data quality processes. Implement AI-driven solutions for data profiling, cleansing, and validation. Establish data quality assurance processes including profiling and remediation. Ensure adherence to data governance practices among stakeholders. Create metrics and dashboards to monitor performance and inform decisions. Provide regular reports on key performance indicators to leadership. Requirements Bachelor’s degree in Data Science, Computer Science, or related field. 7+ years of experience in data quality management or related field. Experience leading data quality teams with a focus on the legal sector. Proficiency with data quality tools and business intelligence platforms. Strong knowledge of SQL and familiarity with programming languages like Python. Experience with CRM systems in business development and marketing. Excellent analytical skills for transforming complex data sets. Demonstrated ability to implement process improvements. Strong business acumen for identifying new opportunities in the legal sector. Experience in executing integrated marketing strategies. Exceptional verbal and written communication skills. Benefits Promote a healthy work/life balance. Provide well-being initiatives and support. Offer shared parental leave and study assistance. Facilitate sabbaticals for long-term goals. Encourage participation in continuous learning and development. Why Apply Through Jobgether? We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About the Job Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. We work on real production systems and high-impact research workflows across data, tooling, and infrastructure. Position Senior C# Full-Stack Engineer — AI Data & Infrastructure Type: Contract, Remote Commitment: 20–40 hours/week Compensation: Competitive, hourly (based on experience) Role Responsibilities - Design, build, and optimize high-performance systems in C# supporting AI data pipelines and evaluation workflows - Develop full-stack tooling and backend services for large-scale data annotation , validation, and quality control - Improve reliability, performance, and safety across existing C# codebases - Collaborate with data, research, and engineering teams to support model training and evaluation workflows - Identify bottlenecks and edge cases in data and system behavior, and implement scalable fixes - Participate in synchronous reviews to iterate on system design and implementation decisions Qualifications Must-Have - Native or fluent English speaker - Full-stack developer experience with a strong systems programming background - 5+ years of professional experience writing production C#. - Strong background in building streaming data pipelines using asynchronous streams and reactive programming concepts. - Experience optimizing I/O-bound operations and implementing resilient retry policies for distributed data ingestion. - Clear written and verbal communication skills. - Ability to commit 20–40 hours per week. Preferred - Prior experience with data annotation , data quality, or evaluation systems - Familiarity with AI/ML workflows, model training, or benchmarking pipelines - Experience with distributed systems or developer tooling Application Process - Submit your resume - Complete a short technical screening - Project matching and onboarding $50 - $75 an hour

Why Ryan? Hybrid Work Options Award-Winning Culture Generous Personal Time Off (PTO) Benefits 14-Weeks of 100% Paid Leave for New Parents (Adoption Included) Monthly Gym Membership Reimbursement OR Gym Equipment Reimbursement Benefits Eligibility Effective Day One 401K with Employer Match Tuition Reimbursement After One Year of Service Fertility Assistance Program Four-Week Company-Paid Sabbatical Eligibility After Five Years of Service The Senior Manager, Data Science will be responsible for overseeing the implementation of technical solutions for the identification of complex patterns in large, high-dimensional/high-frequency data sets and executing and participating in the data vision. This role requires an enterprise mindset to build out robust, high-performance technology solutions. The Senior Manager position mixes strong hands-on technical leadership with the management of matrixed resources, and if required, multiple teams, to achieve desired business outcomes. It is expected that this person is as excited about developing code as they are about developing the skills and competencies of the team at large. Duties and Responsibilities, aligned with Key Results: This is a Remote Position Required Skills and Experience: Demonstrated ability to lead and energize teams to exceed goals and consistently make good decisions through a combination of analysis, experience and judgment Command of one or more Machine Learning/Deep Learning frameworks, including Keras, PyTorch, Caffe, Scikit-Learn or Tensorflow. Knowledge of common optimization algorithms and the approaches to tuning and evaluating such algorithms. Knowledge of one or more database platforms, preferably cloud-based. Experience deploying, monitoring, and maintaining data pipelines in production environments Design models of data processing that implement the intended business model Develop diagrams representing key data entities and their relationships Generate a list of components needed to build the designed system People Use a variety of leading-edge AI/ML tools to develop, test, and maintain data pipelines within the Platform Reference Architecture. Championing a culture of innovation, encouraging team collaboration and self-organization to deliver high-quality AI/ML solutions. Ensure data implementations align with cutting-edge technological trends and business needs. Work directly with management, product teams and practice personnel to understand and execute on their AI/ML requirements. Maintain a positive work atmosphere by behaving and communicating in a manner that encourages productive interactions with customers, co-workers and supervisors. Develop and engage with team members by creating a motivating work environment that recognizes, holds team members accountable, and rewards strong performance Foster an innovative, inclusive and diverse team environment, promoting positive team culture, encouraging collaboration and self-organization while delivering high quality solutions. Client Leading an agile team to design, develop, test, implement and support highly scalable AI/ML solutions and providing architectural and code-level guidance where required. Ensure solutions are aligned with business objectives and client requirements. Collaborate with product teams and clients to deliver robust cloud-based AI/ML solutions that drive tax decisions and provide powerful experiences! Analyze user feedback and activity and iterate to improve the services and user experience. Value Collaborating with other senior leaders to align cloud data solutions with broader business objectives and to ensure they meet the evolving needs of the organization and its clients. Function as a subject matter expert by staying current on the latest research, experimenting with new technologies, and sharing that knowledge internally. Ensure strict compliance with all information and data security policies, best practices and requirements. Create and implement robust cloud-based data solutions that scale effectively, and provide powerful experiences for both internal teams and clients Perform unit tests and conduct reviews with other team members to make sure solutions and code are rigorously designed, elegantly coded, and effectively tuned for performance. Perform other duties as assigned. Education and Experience: Bachelor’s and/or Master’s degree in a related field. 7+ years of professional experience in data science, machine learning, or applied analytics. Proven experience leading high-performing teams of data scientists, ML engineers, data engineers, or other data and analytics professionals. Hands-on experience designing, building, and deploying enterprise ML solutions to production, including end-to-end model lifecycle ownership (not prototypes only). Strong coding experience in Python (required) with experience overseeing or contributing to solutions written in Java, Scala, or C. Direct experience building cloud-based data and ML solutions using AWS or Azure. Experience designing, deploying, and maintaining production data pipelines. Hands-on experience with at least one ML framework, such as TensorFlow, PyTorch, or Scikit-learn. Strong system and data architecture skills, including the ability to design ML systems, create data models, develop architecture diagrams, and define system components. Experience working in mixed Windows and Linux environments. Computer Skills: To perform this job successfully, an individual must have intermediate knowledge of Microsoft Project, Word, Excel, Access, PowerPoint, Outlook, and Internet navigation and research. Supervisory Responsibilities: This role will have supervisory responsibilities. Work Environment: Standard indoor working environment. Occasional long periods of sitting while working at computer. Must be able to lift, carry, push or pull up to 30 lbs. Position requires regular interaction with employees at all levels of the Firm and interface with external vendors as necessary. Independent travel requirement: As Needed

Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. Deployed by over 60 health plans, including many of the top 20, and representing more than 160 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise. We’re constantly reimagining what’s possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs. Machinify builds machine learning models for some of the largest health plans in the country to identify nearly $1B in erroneous healthcare payments. Our customers receive tens of millions of claims each year, many of which are billed with mistakes or fraud. Our production models detect and stop those errors on a daily basis, resulting in measurable healthcare savings that significantly outperform industry standards. Machinify has already had a huge impact as a small company, and we are growing quickly! We are looking for a Data Scientist | ML for our "Pay" team (claims payments product) to advance our models further. In addition to building best-in-class models, this person will create technical frameworks and tools to help the team achieve greater scale and improved business outcomes. What You’ll Do: Master understanding of various claims payment policies and healthcare concepts. Build and improve the models by thoughtfully curating data and creating features. Precisely measure and improve model performance against real-world outcomes. Make operational recommendations to the customer to optimize model results. Interpret and refine large-scale data created by complex business workflows. Advance the team’s capabilities by improving pipelines, infrastructure, and tools. What You’ll Bring: Several years of experience solving real-world business problems with data and ML modeling Proven ability to make team-level contributions and develop frameworks and tools to improve the work of many Able to build a high-level, strategic work plan while keeping attention to detail Experience precisely measuring and optimizing the business impact of your work Experience handling large-scale, complex data which may not be clean or well-defined Experience writing production-quality code (i.e. building pipelines, productionizing models) and overcoming practical challenges to deploy a model Deep curiosity about healthcare Equal Employment Opportunity at Machinify Machinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace. See our Candidate Privacy Notice at: https://www.machinify.com/candidate-privacy-notice/

Essential Job Responsibilities: Data Engineering & Analytics Gather and document requirements for ETL processes into SnowKAP (Kalsec Analytics Platform), the company’s cloud-based data warehouse, from a wide range of source systems. Collaborate with directors, managers, developers, and end users to design and deliver dashboards, metrics, reports, and analytics solutions. Analyze and evaluate business systems, workflows, and procedures to identify improvement opportunities. Ensure efficient and consistent use of data resources across global business units. Contribute to short- and long-term BI and analytics strategy development. Recommend improvements to enhance scalability, performance, and growth of the BI/KAP architecture. Develop and maintain semantic layers, metadata, reports, and report definitions. Research emerging data technologies to support future data management initiatives. Utilize BI and database platforms including SAP Business Objects, Cognos, Power BI, Tableau, DB2, Oracle, Teradata, MySQL, SAP HANA, PostgreSQL, and Snowflake. BI Platform Operations Support deployment, monitoring, maintenance, enhancement, and upgrades of BI and SnowKAP systems. Develop and maintain global maintenance schedules for BI and data warehousing platforms. Establish best practices for issue resolution in a high-availability, 24/7 global environment. Troubleshoot BI tools and applications, and perform performance tuning. Ensure change management activities comply with organizational standards. Communicate regularly with executives, department leaders, and end users to support data-driven decision making. Design and deliver end-user training and documentation, and provide ongoing technical support. Qualifications: Bachelor’s degree with 2-4 years related experience or equivalent combination of education and experience. Education in Computer Science, Computer Engineering, Information Systems, or a related field. Professional experience in one or more of the following roles: Data Engineer, Data Analyst, BI Developer (including Senior BI Developer), Business Objects Administrator, Business Systems Analyst, Technology Functional Lead, Programmer Analyst, or a closely related position. Proficiency in writing simple to complex SQL (Structured Query Language). Experience with SAP Business Objects and Power BI. Strong understanding of data warehouse concepts. Advanced proficiency in Python for ETL development. Hands-on experience with Snowflake. Experience with ERP systems, preferably Infor M3. Familiarity with AWS or other cloud platforms. Strong problem-solving and analytical skills. Ability to work independently as well as collaboratively in cross-functional team environments. Excellent written, verbal, and technical documentation skills. Desired Experience designing, developing, and maintaining Python-based ETL processes to integrate data from multiple source systems. Proven ability to enhance and optimize existing ETL applications to support new integrations and improve performance. Experience managing, monitoring, and optimizing data pipelines within Snowflake. Knowledge of data quality, security, and scalability best practices in cloud environments (AWS preferred). Experience building new dashboards and migrating legacy SAP Business Objects reports to Power BI. Strong collaboration skills with business stakeholders to design intuitive, actionable BI solutions. Hands-on experience extracting and transforming data from ERP systems such as Infor M3 for analytics and reporting. Snowflake certification. Experience modernizing or migrating legacy BI platforms to cloud-based or modern analytics solutions. Working Conditions: On-call availability Overtime hours may be required Sitting for extended periods of time Dexterity of hands and fingers to operate a computer keyboard, mouse, and other devices Ability to lift computers, monitors, and other peripherals

Job Title: Data ScientistJob Category: ScienceTime Type: Full timeMinimum Clearance Required to Start: SecretEmployee Type: RegularPercentage of Travel Required: Up to 10%Type of Travel: Continental US* * * The Opportunity: C ACI at Naval Surface Warfare Center Carderock Division (NSWCCD) is looking for a Data Scientist to expand maintenance detection algorithms for Boeing F/A-18 aircrafts. Your expertise will enhance the Navy’s F/A-18 fleet readiness by developing case studies and anomaly detection algorithms for aircraft maintenance action Responsibilities: Gather, clean, and preprocess large datasets from various aircraft sensors, maintenance logs, and operational data. Write clean, efficient, and scalable code following best practices and coding standards to ensure maintainability and long-term performance of applications. Preform exploratory data analysis to identify trends, patterns, and anomalies in aircraft performance and maintenance data. Design and implement anomaly detection algorithms to identify unusual behaviors in aircraft data. Collaborate with Aerospace Engineers, Software Engineers, Maintenance Personnel, and other project stakeholders Qualifications: Required: Bachelor’s degree in Mechanical Engineering, Aerospace Engineering, or Computer Science. 0-2 years of job experience. Strong knowledge of MATLAB and Python. Strong problem-solving skills and ability to work both independently and as part of a collaborative team. Excellent communication skills and attention to detail. Candidate must have the ability to obtain and maintain DoD Secret Clearance. US Citizenship. Desired: Experience with PowerBI and SQL. - _________________________________________________________________________ What You Can Expect: A culture of integrity. At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation. An environment of trust. CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. A focus on continuous growth. Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy. Your potential is limitless. So is ours. _________________________________________________________________________ Pay Range : There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. The proposed salary range for this position is: $66,700 - $133,300 CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

Overview This Senior Data Scientist will drive causal and machine learning-based analyses to measure the impact of product features on user behavior, engagement, and business outcomes, translating results into clear, actionable recommendations. The role partners closely with product, analytics engineering, and fellow data scientists to build in-house causal inference tools, define KPIs, build production-ready analytical workflows, and deliver high-quality, governed visualizations. Success in this role requires strong statistical judgment, experience with product-driven ML, and a focus on delivering insights that are both trustworthy and immediately usable by cross-functional stakeholders Key Responsibilities Causal Inference Design, implement, and productionalize statistically rigorous causal analyses to quantify the impact of product features on user behaviors, engagement metrics, and downstream business outcomes Develop and maintain causal frameworks that link product interventions to behavioral change, engagement shifts, and business performance Select and apply appropriate experimental and observational methods, leveraging regression- and ML-based approaches where appropriate to control for confounding and heterogeneity Validate causal findings through robustness checks, sensitivity analyses, and clear articulation of assumptions and limitations Translate results into clear, actionable recommendations that inform product strategy, marketing decisions, and executive-level prioritization Develop analytical notebooks and workflows that are reproducible, scalable, and suitable for deployment in production environments KPI Development Partner with product and cross-functional stakeholders to define feature-level engagement and efficacy KPIs aligned with business objectives Incorporate model-derived signals (e.g., predicted engagement, risk scores, uplift estimates) into KPI frameworks where appropriate to improve measurement and decision-making Implement testing, documentation, and versioning practices to ensure KPI definitions are reliable, discoverable, and consistently interpreted Maintain metric documentation and metadata to support self-service analytics and cross-functional consumption Data Visualization Design and deliver high-quality visualizations in Looker and Databricks that clearly communicate analytical and ML-driven insights without requiring supplemental explanation Ensure visual outputs are intuitive, decision-oriented, and aligned with established data visualization best practices Incorporate generative AI capabilities into visualization and analytics assets where appropriate to improve interpretability and cross-functional adoption Support visualization governance by implementing CI/CD workflows, validation checks, and approval processes to ensure production dashboards meet quality and consistency standards prior to release Qualifications Strong statistical experience in causal inference methods like Difference in Difference, propensity score matching, regression discontinuity analysis, and randomized control trials to help link product changes to business outcomes Applied experience building and evaluating machine learning models for prediction, segmentation, or uplift in a product or business context Ability to develop reproducible, scalable analytical notebooks and workflows that transition effectively from development to production environments Experience partnering with product teams to define feature-level KPIs and building robust, well-documented dbt models to expose those metrics across analytics layers Strong track record of creating clear, decision-oriented visualizations in tools such as Looker and Databricks that communicate insights unambiguously to cross-functional stakeholders 3-5+ years of experience Tools and libraries: dbt, databricks, statsmodels, scipy, scikit-learn, causalml, prophet Languages: sql, python, r At Tonal, we believe that the unique and varied lived experiences of our teammates contribute to our overall strength. We don’t just appreciate differences, we celebrate them, and we always seek people that represent a wide variety of backgrounds. We’re dedicated to adding new perspectives to the team and designing employee experiences that contribute to your growth as much as you do to ours. If your experience aligns with what we’re looking for (even if you don’t check every single box), send us your application. We would love to hear from you! Tonal is committed to meeting the diverse needs of people with disabilities in a timely manner that is consistent with the principles of independence, dignity, integration, and equality of opportunity. Should you have any accommodation requests, please reach out to us via our confidential email, accessibility@tonal.com. All requests will be addressed and responded to in accordance with Tonal’s Accessibility Policy and local legislation.