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Career Area: Technology, Digital and Data Job Description: Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. The Cybersecurity GRC – Technology & Analytics team of Caterpillar IT is seeking a Lead Data Scientist to be a technical expert, working in a team environment, to support the development, integration & enhancement for Caterpillar in Advanced Analytics and GenAI initiatives for the Technology & Analytics team. Significant responsibilities of this position are working with people; enhancing the team’s creativity; maintaining knowledge of approaches used in similar projects; and pushing the technical bounds of experimentation while meeting customer commitments. The Lead Data Scientist acts as a technical leader for establishing and maintaining a sound analytic approach for solving the problem at hand. This individual will develop good networks within the technical community to enable them to collaborate on technical solutions, obtain resources and cooperation needed, and remove roadblocks so that they can ensure the success of their team. What You Will Do: Key areas of accountability include participating in the design and development of Data and Analytic Solutions including GenAI as part of Strategic Cybersecurity projects and programs; providing input into technology roadmaps and application evolution plans; acting as a researcher and evaluator of new technology, information, or integration standards. The Lead Data Scientist reports to an Analytics Supervisor and bears primary responsibility for solving the business problem presented through applied analytics and directing the team technically. Individual work will primarily be directed by Manager and Stakeholders in terms of business requirements and needs. * Conduct Data Discovery, data preparation and data processing for business intelligence and ML / AI Models. * Exploring, promoting, and implementing semantic data capabilities through data analytics and machine learning techniques. * Leading to define requirements and scope of data analyses; presenting and reporting possible business insights to management using data visualization technologies. * Conducting research on data model optimization and algorithms to improve effectiveness and accuracy on data analyses. * Plan technical deliverables and definition of done for each sprint for the Jr. Data Engineers * Communicate and Present the Technical Deliverables to stakeholders and business in an easy-to-understand way. * Demonstrate a breadth of knowledge in the application statistical methods and/or digital methods to solve business problems * Develop, validate, train and implement statistical models, and implement digital solutions * Participate on 3-4 projects/products concurrently * Demonstrate strong initiative to research and apply new methods to exceed customer expectations. * Have a strong focus on continual learning in the Analytics field * Possess thorough statistical and/or digital technology knowledge and the ability to solve low to medium complexity problems. * Have very good communication skills, being able to explain conclusions to customers with limited knowledge and experience with quantitative analytical methods. What You Have: * Business Statistics: Extensive experience with statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions. * Machine Learning / AI: Extensive knowledge of principles, technologies and algorithms of machine learning * Programming Languages: Extensive knowledge in the application of Python programming to solve business challenges; ability to use tools, techniques and platforms in order to write and modify programming languages. * Database Management and Consumption: Extensive knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use. * Data Analysis: Posses the ability to conduct thorough data analysis and produce data mapping documents per the business requirements; extensive capabilities in SQL, data modeling, and understanding of data processing including ETL / ELT * Requirements Analysis: Working knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required business functionality and non-functionality requirements to ensure the success of a system or software development project. Top Candidates Will Have: * Typically Master’s degree in Applied Statistics, Data Science, Business Analytics, Business Intelligence & Analytics, Mathematics, Computer Science, Computer Science, Engineering, Informatics, Information Systems Management, Mathematics, MBA with Technical Undergrad, Predictive Analytics, Statistics, or equivalent technical degree. * Extensive experience applying Python (NumPy, SciPy, pandas, etc) programming to solve business challenges. * Extensive experience (typically 8 years+) with advanced data analysis and statistical methods such as regression, hypothesis testing, ANOVA, statistical process control, etc. * Extensive experience in practical applications of Machine Learning techniques such as Clustering, Logistic Regression, Random Forests, SVM or Neural Networks. * Advanced experience in quantifying the costs, benefits, risks and chances for success before recommending a course of action. * In-depth technical and problem-solving skills and evidence of continuous learning in the analytics field * Extensive knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems. * Working knowledge with cloud technologies (AWS, Azure, Google Cloud, etc) * Extensive experience with Snowflake and SQL * Advanced experience in DevOPs and ML-OPs * Extensive experience with the necessity and value of accuracy; ability to complete tasks with high levels of precision. * Good understanding of Agile Best Practices to work with Project Manager and Team to Plan, Effort Estimation, Check Quality, Document and Deliver on time with help of team. * Must demonstrate strong initiative, interpersonal skills, and the ability to communicate effectively; Presenting technical work in small or large setting of Stakeholders and Leaders. * Experience with GenAI is plus Additional Info: * The ideal location for this role is East Peoria-IL, Irving-TX, Nashville-TN * This position may require 20% travel. About Caterpillar – For more than a century, Caterpillar has helped build a better, more sustainable world. With 2025 sales and revenues of $67.6 billion, Caterpillar Inc. is shaping the future as the world’s leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. Backed by one of the largest independent global dealer networks and financing services through Cat Financial, the company’s primary business segments: Power & Energy, Construction Industries and Resource Industries are solving customers’ toughest challenges through commercial excellence and advanced technology, driven by a highly skilled, dedicated global team. Learn more at ___. Summary Pay Range: $128,470.00 - $208,770.00 Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar. Benefits: Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits. * Medical, dental, and vision benefits* * Paid time off plan (Vacation, Holidays, Volunteer, etc.)* * 401(k) savings plans* * Health Savings Account (HSA)* * Flexible Spending Accounts (FSAs)* * Health Lifestyle Programs* * Employee Assistance Program* * Voluntary Benefits and Employee Discounts* * Career Development* * Incentive bonus* * Disability benefits * Life Insurance * Parental leave * Adoption benefits * Tuition Reimbursement • These benefits also apply to part-time employees This position requires working onsite five days a week. Visa Sponsorship is not available for this position. Posting Dates: May 15, 2026 - May 28, 2026 Any offer of employment is conditioned upon the successful completion of a drug screen. Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply. Not ready to apply? Join our ___.

Last year our HCA Healthcare colleagues invested over 156,000 hours volunteering in our communities. As a(an) Medical Laboratory Scientist with Medical City Dallas you can be a part of an organization that is devoted to giving back! Job Summary Our Medical Technologist performs and demonstrates proficiency and understanding in one or more areas of the clinical laboratory. The commitment to service, safety and professionalism is critical to achieving the best experience for our patients. Come join our team of dedicated professionals that are committed to delivering the best patient care. What You Will Do In This Role • You will perform chemical, bacteriological, serological and microscopic procedures in one or more laboratory sections., • You will maintain records of performance, patient results and quality control., • You will maintain equipment, record preventive and remedial maintenance of equipment., • You will assist with laboratory training programs as required. What qualifications you will need • Bachelor’s Degree is required, • Medical Laboratory Scientist, or Certified Medical Lab, or Certified Lab Technologist, or Clinical Laboratory Scientist, or Medical Lab Scientist, or American Medical Technologist is required, • At least one year experience in a hospital setting is preferred. Benefits Medical City Dallas, offers a total rewards package that supports the health, life, career and retirement of our colleagues. The available plans and programs include: • Comprehensive benefits for medical, prescription drug, dental, vision, behavioral health and telemedicine services, • Wellbeing support, including free counseling and referral services, • Time away from work programs for paid time off, paid family leave, long- and short-term disability coverage and leaves of absence, • Savings and retirement resources, including a 401(k) Plan with a 100% match on 3% to 9% of pay (based on years of service), Employee Stock Purchase Plan, flexible spending accounts, preferred banking partnerships, retirement readiness tools, rollover support and financial wellbeing counseling, • Education support through tuition assistance, student loan assistance, certification support, dependent scholarships and a partnership with Galen College of Nursing, • Additional benefits for fertility and family building, adoption assistance, life insurance, supplemental health protection plans, auto and home insurance, legal counseling, identity theft protection and consumer discounts Note: Eligibility for benefits may vary by location. Medical City Dallas is recognized for its advanced medical facilities and commitment to excellence in patient care. We are an 895+ bed tertiary care center. Our medical team consists of more than 1,500 physicians, many are recognized as the world's best in their specialties. Patients travel to Medical City Dallas from all over the United States and from other countries. We offer sophisticated treatment by our 400+ in-house physician specialists. Medical City Dallas has a full-service adult hospital and pediatric hospital. We have separate adult and pediatric emergency rooms, outpatient clinics and diagnostic centers. Our providers have access to state-of-the-art technology and are pioneering new medical procedures to accommodate patient needs. As a part of the Medical City network of hospitals, patients are ensured access to leading medical experts and advanced healthcare innovations across the network. HCA Healthcare has been recognized as one of the World's Most Ethical Companies® by the Ethisphere Institute more than ten times. In recent years, HCA Healthcare spent an estimated $3.7 billion in cost for the delivery of charitable care, uninsured discounts, and other uncompensated expenses. "There is so much good to do in the world and so many different ways to do it."- Dr. Thomas Frist, Sr. HCA Healthcare Co-Founder Be a part of an organization that invests in you! We are reviewing applications for our Medical Laboratory Scientist opening. Qualified candidates will be contacted for interviews. Submit your application and help us raise the bar in patient care! We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

PRIDE Health is seeking a local contract Medical Lab Scientist for a local contract job in Irving, Texas. Job Description & Requirements • Specialty: Medical Lab Scientist, • Discipline: Allied Health Professional, • Start Date: 05/12/2026, • Duration: 11 weeks, • 38 hours per week, • Shift: 8 hours, days, evenings, nights, flexible, • Employment Type: Local Contract Pride Health is hiring a Medical Lab Scientist to support our client’s medical facility based in Irving, TX 75063. This is a 3-6 months assignment (Possibility of extension or conversion) opportunity and a great way to start working with a top-tier healthcare organization! Job Details: Job Name: Medical Lab Scientist Location : Irving, TX 75063 Duration : 03-06 months Contract (Possibilities of extension) Shift : T- Sat 2p- 10:30pm//T- Sat 4a- 12:30pm//T- Sat 9a- 5:30pm Payrate : 35-40$/hr. on w2/Pay Rate is based on experience and educational qualifications. Job Details: • Determine the acceptability of specimens for testing according to established criteria., • Perform routine and complex technical procedures and functions according to departmental Standard Operating Procedures., • Monitor, operate and troubleshoot instrumentation to ensure proper functionality., • Demonstrate the ability to make technical decisions regarding testing and problem solving., • Prepare, test, and evaluate new reagents or controls., • Report accurate and timely test results to deliver quality patient care., • Perform and document preventive maintenance and quality control procedures., • Identify and replenish testing bench supplies as necessary., • Assist with processing of specimens when needed., • Maintain a safe work environment and wear appropriate personal protective equipment. Requirements: • Bachelor's degree in Biology, Chemistry, Clinical Laboratory Science, Medical Technology or meet local regulatory (CLIA & State) requirements., • Minimum 2-4 years of clinical laboratory testing experience is required. State Medical Technologist license may be required (will be listed in requirement if it s needed)., • MLT/MLS required, • Ability to work independently and within a team environment., • Proficient with computers., • Familiarity with laboratory information systems is a plus., • High level of attention detail along with strong communication and organizational skills. Must be able to pass a standardized color vision screen., • Flexibility to work overtime or other shifts depending on business needs Pride-Health offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance and employee discounts with preferred vendors. Equal Employment Opportunity Pride-Health is an equal opportunity employer. We do not discriminate on the basis of the race, religious creed, color, national origin, ancestry, physical disability, mental disability, reproductive health decision making, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other characteristic protected by applicable federal, state, or local law. Fair Chance Employment Pride-Health is a Fair Chance employer. We consider all qualified applicants, including those with criminal histories, in a manner consistent with applicable state and local Fair Chance laws and ordinances, including, the California Fair Chance Act and all applicable local Fair Chance ordinances. Accommodations We are committed to providing reasonable accommodations to applicants and employees with disabilities. If you require a reasonable accommodation to participate in the application or interview process, or to perform the essential functions of this role, please contact us. Only applicable for San Francisco Candidates: Under the San Francisco Lactation in the Workplace Ordinance, we will provide written notice of lactation accommodation rights, and this notice will automatically be given upon hiring, any inquiry of parental leave or lactation accommodation. About PRIDE Health PRIDE Health is the minority-owned healthcare recruitment division of Pride Global—an integrated human capital solutions and advisory firm. With our robust and abundant travel nursing and allied health employment options across the U.S., PRIDE Health will allow you to help change the way the world lives and heals as it connects you with the industry’s leading healthcare organizations. Pride Global offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance, and employee discounts with preferred vendors. Benefits • Weekly pay, • Holiday Pay, • Guaranteed Hours, • 401k retirement plan, • Cancelation protection, • Referral bonus, • Medical benefits, • Dental benefits, • Vision benefits

Do you want to join an organization that invests in you as a(an) Medical Laboratory Scientist? At Medical City Dallas, you come first. HCA Healthcare has committed up to $300 million in programs to support our incredible team members over the course of three years. Introduction: Weekdays - 12:00pm to 8:30pm Medical City Dallas Hematopathology lab section seeks an experienced hematology medical technologist to coordinate bone marrow specimen workup – staining, bone marrow and peripheral blood manual differential counts, clinical history lookup and case organization for subsequent hematopathologist sign out. Opportunities to cross train in flow cytometry are available if the candidate desires. This is a second shift position. Job Summary and Qualifications Our Medical Lab Scientist performs and demonstrates proficiency and understanding in one or more areas of the clinical laboratory. The commitment to service, safety and professionalism is critical to achieving the best experience for our patients. Come join our team of dedicated professionals that are committed to delivering the best patient care. What You Will Do In This Role · You will perform chemical, bacteriological, serological and microscopic procedures in one or more laboratory sections. · You will maintain records of performance, patient results and quality control. · You will maintain equipment, record preventive and remedial maintenance of equipment. · You will assist with laboratory training programs as required. What qualifications you will need · Bachelor’s Degree is required · Medical Laboratory Scientist, or Certified Medical Lab, or Certified Lab Technologist, or Clinical Laboratory Scientist, or Medical Lab Scientist, or American Medical Technologist is required · At least one year experience in a hematology lab at a hospital setting is preferred Benefits Medical City Dallas, offers a total rewards package that supports the health, life, career and retirement of our colleagues. The available plans and programs include: • Comprehensive benefits for medical, prescription drug, dental, vision, behavioral health and telemedicine services, • Wellbeing support, including free counseling and referral services, • Time away from work programs for paid time off, paid family leave, long- and short-term disability coverage and leaves of absence, • Savings and retirement resources, including a 401(k) Plan with a 100% match on 3% to 9% of pay (based on years of service), Employee Stock Purchase Plan, flexible spending accounts, preferred banking partnerships, retirement readiness tools, rollover support and financial wellbeing counseling, • Education support through tuition assistance, student loan assistance, certification support, dependent scholarships and a partnership with Galen College of Nursing, • Additional benefits for fertility and family building, adoption assistance, life insurance, supplemental health protection plans, auto and home insurance, legal counseling, identity theft protection and consumer discounts Note: Eligibility for benefits may vary by location. Medical City Dallas is recognized for its advanced medical facilities and commitment to excellence in patient care. We are an 895+ bed tertiary care center. Our medical team consists of more than 1,500 physicians, many are recognized as the world's best in their specialties. Patients travel to Medical City Dallas from all over the United States and from other countries. We offer sophisticated treatment by our 400+ in-house physician specialists. Medical City Dallas has a full-service adult hospital and pediatric hospital. We have separate adult and pediatric emergency rooms, outpatient clinics and diagnostic centers. Our providers have access to state-of-the-art technology and are pioneering new medical procedures to accommodate patient needs. As a part of the Medical City network of hospitals, patients are ensured access to leading medical experts and advanced healthcare innovations across the network. HCA Healthcare has been recognized as one of the World's Most Ethical Companies® by the Ethisphere Institute more than ten times. In recent years, HCA Healthcare spent an estimated $3.7 billion in cost for the delivery of charitable care, uninsured discounts, and other uncompensated expenses. "Good people beget good people."- Dr. Thomas Frist, Sr. HCA Healthcare Co-Founder We are a family 270,000 dedicated professionals! Our Talent Acquisition team is reviewing applications for our Medical Laboratory Scientist opening. Qualified candidates will be contacted for interviews. Submit your resume today to join our community of caring! We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

$65 - $130/hourpaystatistics & Mathematicsdata handlingdata collectingdata analysis and modelingdata visualizationdata clesningprogrammingAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Data Scientist Job Type: Contractor Location: Remote Job Summary: Join our customer's team as a Data Scientist and play a pivotal role in transforming data into actionable insights that drive business growth. You will leverage your expertise in statistics, mathematics, and programming to tackle challenging data problems, ensuring clean, robust, and insightful analyses. This is an exciting opportunity to work in a dynamic, expert-driven environment that values clear communication and innovative thinking. Key Responsibilities: • Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis., • Develop, validate, and implement statistical models to extract actionable insights from complex data., • Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement., • Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders., • Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery., • Continuously improve analytical methodologies and automation processes to enhance data workflows., • Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations. Required Skills and Qualifications: • Expertise in statistics, mathematics, and data analysis techniques., • Proven experience in collecting, handling, and cleaning large, complex data sets., • Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling., • Strong data modeling skills with experience in building and validating predictive models., • Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries., • Meticulous attention to detail and commitment to data quality at every stage., • Excellent written and verbal communication skills, with an emphasis on clarity and precision. Preferred Qualifications: • Experience working in a remote, cross-functional, or customer-focused team environment., • Background in developing and deploying machine learning solutions in production settings.

About Mindlance! Advance your career with Mindlance! We have been connecting talented professionals with world-class companies since 1999. Mindlance is here to help you to find the perfect fit with just the right company. Currently, we are seeking a Medical Laboratory Scientist for an exciting career growth opportunity. Make your next big career move with the kind of position that will allow you to be genuinely passionate about the work you do! Our recruiters will work closely with you to help you get the edge over the competition. Let Mindlance advocate for you – apply today! * Apply if you are already planned to relocate or with in the commutable distance from the work site* Job Title: Medical Laboratory Scientist. Job Location: Irving, TX 75063. Pay Rate: $35 to $40/hr. on W2 without any benefits. Duration: 6+ months with possible extension or conversation to Perm according to clients need Shift Time: We have Morning, Afternoon and Night shifts. Tuesday to Saturday Department's: Serology, Generalist, Auto chemistry, Blood bank and Hematology. Role Summary: • Perform and report laboratory testing using approved procedures, • Ensure compliance with CLIA, HIPAA, OSHA, and QC/QA standards, • Maintain accurate documentation, quality control, and instrument maintenance, • Report STAT/critical results and support regulatory inspections as needed Requirements: • BS or AS in Medical Technology, Chemistry, Biology, or related lab science, • MT/MLT certification or eligibility (ASCP/AMT preferred), • Minimum 1 year of clinical laboratory experience (high-complexity preferred), • Strong computer and documentation skills EEO: Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”

Pride Health is hiring a Medical Laboratory Scientist to support our client’s medical facility based in Irving TX 75063. This is a 3+ month assignment with the possibility of a contract-to-hire opportunity and a great way to start working with a top-tier healthcare organization! Job Title: Medical Laboratory Scientist Location: Irving TX 75063 Schedule: Tue- Sat 11a- 7:30pm /Tue- Sat 9a- 5:30pm /2nd shift, 2 pm-10:30 pm (Central), Tuesday - Saturday Duration : 3 months+ Pay Range: $40 per hour MT/MLT/MLS - must have credentialing through ASCP, AMT or AAB (only one of these) We are seeking a certified Medical Laboratory Technician (MLT) for a 13-week contract assignment in Rome, Georgia . This role involves performing laboratory procedures on blood and other body fluid specimens under the supervision of a laboratory technologist or supervisor. Key Responsibilities: • Perform laboratory testing using manual techniques and automated laboratory instruments, • Operate and maintain laboratory equipment, including Beckman Coulter systems (AU system experience preferred), • Process blood and body fluid specimens according to established protocols, • Ensure accurate documentation using laboratory information systems, • Maintain quality control and adhere to laboratory safety standards, • Perform phlebotomy as needed Required Qualifications: • BS in Medical Laboratory Technology or Laboratory Science, • Certification from a recognized national certifying agency (ASCP or NCA), • Minimum 2–3 years of relevant laboratory experience, • Experience with Beckman Coulter equipment (AU system preferred), • Strong technical knowledge and ability to perform laboratory functions independently, • Effective communication skills Pride Global offers eligible employees comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance, and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance, and employee discounts with preferred vendors. About Pride Health Pride Health is Pride Global's healthcare staffing branch, providing recruitment solutions for healthcare professionals and the industry at large since 2010. As a minority-owned business that delivers exceptional service to its clients and candidates by capitalizing on diverse recruiting, account management, and staffing backgrounds, Pride Health's expert team provides tailored and swift sourcing solutions to help connect healthcare talent with their dream jobs. Our personalized approach within the industry shines through as we continue cultivating honest and open relationships with our network of healthcare professionals, creating an unparalleled environment of trust and loyalty. Equal Employment Opportunity Statement As a certified minority-owned business, Pride Global and its affiliates - including Russell Tobin, Pride Health, and Pride Now - are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. Interested? Apply today!

About the Company: Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose the relentless pursuit of a world that works better for people we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. About the Role: Genpact is urgently looking for a strong Consultant for one of our precious clients in Brazil. If you are interested kindly share profile at Job Title: Artificial Intelligence Engineer / Machine Learning Engineer Location: Richardson, TX (Hybrid) Mode of Hire: Full Time Responsibilities: Own end-to-end ML/AI projects: problem framing, data pipelines, modeling, offline/online evals, deployment, monitoring, and iteration. • Build and productionize agentic workflows (tool-using/multi-step agents with retrieval, planning, and human-in-the-loop), including safety/guardrails and reliability., • Train classical ML models (tree ensembles, linear models, anomaly detectors, time-series forecasting) and deep learning models when appropriate., • Operationalize models with CI/CD, feature stores, reproducible training, and model registries, • Monitor and improve live systems: data & concept drift detection, performance regression, bias/fairness, cost/latency; drive remediation playbooks., • Partner cross-functionally with product, data, and platform teams; write clear design docs, • Work as an Individual contributor with minimal directions, • Minimum 6+ years of total experience in Software Development, preferably with a Data Analyst/Data Scientist background, • Experience leading/mentoring junior data scientists or ML engineers is a plus, • Demonstrated production agent build (at least one end-to-end agentic framework delivered to users)., • Strong with classical ML: feature engineering, cross-validation, calibration, regularization, class imbalance, interpretability (SHAP/LIME), time-series (forecasting, seasonality, drift)., • Solid deep learning foundations (CNN/RNN/Transformers), and practical fine-tuning experience (e.g., LoRA/QLoRA, instruction tuning, RAG)., • Proven MLOps: Model registry/experiment tracking (MLflow or equivalent), model serving (FastAPI/TF-Serving/TorchServe/TGI/vLLM), observability., • Fluency in Python and the ML stack (NumPy/Pandas, scikit-learn, XGBoost/LightGBM, PyTorch/TensorFlow)., • Excellent communication; can drive projects independently as an Individual Contributor., • Experience with agent frameworks (LangGraph/LangChain Agents, AutoGen, Google ADK) and tool use (function calling, tool routing, planners)., • Retrieval/RAG design: chunking strategies, embedding models, vector stores (FAISS, Pinecone, Weaviate), hybrid search, evals. Best Regards, Manohar Swamy DTAI Hiring Team, Genpact E: Connect on LinkedIn: Equal Opportunity Statement: Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. For more information, visit ___ Follow us on Twitter, Facebook, LinkedIn, and YouTube. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training..

We are partnering with a growing food manufacturing organization to identify a highly driven Senior Food Scientist to support product innovation, formulation, and continuous improvement initiatives across a dynamic portfolio of food products. This role is ideal for someone passionate about food science, product development, and innovation within a fast-paced manufacturing environment. The selected candidate will collaborate cross-functionally with operations, quality, procurement, and commercial teams to develop and optimize products that align with quality, cost, and production goals. Key Responsibilities • Lead product development and reformulation initiatives from concept through commercialization., • Develop and optimize formulations, ingredients, and manufacturing processes to improve product quality, consistency, shelf life, and cost efficiency., • Conduct bench trials, plant trials, sensory evaluations, and product validations., • Partner with cross-functional teams including Quality Assurance, Operations, Supply Chain, and Marketing to ensure successful product launches and continuous improvement., • Analyze product performance, market trends, and competitor products to identify innovation opportunities., • Support scale-up activities and ensure products are manufacturable within operational capabilities., • Maintain accurate documentation related to formulations, specifications, testing, and process validations., • Collaborate with suppliers to evaluate ingredients, troubleshoot challenges, and identify alternative solutions when needed., • Ensure compliance with food safety, regulatory, and quality standards throughout all stages of development., • Manage project timelines and communicate progress effectively with key stakeholders. Qualifications • Bachelor’s degree in Food Science, Food Engineering, Chemistry, or a related field., • 4+ years of experience in product development, R&D, or food manufacturing environments., • Strong understanding of food formulation, ingredient functionality, food processing, and quality systems., • Experience working within manufacturing plants and production environments., • Strong project management, analytical, and problem-solving skills., • Excellent communication and collaboration abilities., • Self-starter with a curious and innovative mindset., • Bilingual English/Spanish is a plus., • Ability to travel up to 30% as required. Preferred Background • Experience within large-scale food manufacturing or consumer packaged goods (CPG) environments., • Exposure to process optimization, commercialization, or sensory science., • Passion for food innovation and emerging industry trends.

FleetPride is seeking a highly analytical, curious, and results-driven marketing data scientist to join our marketing team. In this role, you will help shape marketing and commercial strategy through advanced analytics, machine learning, experimentation, and modern AI-enabled tools. A critical focus of this position is solving the "Online-to-Offline" puzzle by developing sophisticated models to connect digital engagement with physical outcomes across our national network of retail branches and service centers. You will work across a wide range of initiatives, including customer acquisition, retention, segmentation, promotion optimization, forecasting, and marketing effectiveness. The ideal candidate brings strong statistical and technical skills, a practical business mindset, and the ability to translate complex data into actionable recommendations. This role will also help advance FleetPride’s use of modern data science capabilities, including cloud-based modeling, ML workflows, generative AI tools, and privacy-aware measurement. This role focuses on measurement, experimentation, and analytical decision partnership rather than day-to-day media buying or primary ownership of marketing-platform administration. Responsibilities • Experimentation & Measurement: Lead test design and analysis, including A/B testing, market selection, incrementality testing, media mix modeling, holdout design, and final readouts to measure business impact., • Business Partnership: Collaborate closely with marketing, ecommerce, and other digital business stakeholders to solve problems, identify opportunities, and drive data-informed decisions., • Reporting and Analytics: Establish and maintain reporting and performance review KPIs such as ROAS, CPA, LTV, unit economics and contribution metrics across both customer acquisition and retention., • Data & Platform Integration: Partner with IT teams to define data requirements, validate data quality, and enable reliable datasets from GA4/BigQuery and advertising platforms for analysis, measurement, and decision-making., • Predictive & Analytical Modeling: Develop and adapt predictive, statistical, and optimization models to support initiatives across customer acquisition, activation, engagement, retention, promotion planning, and channel performance., • AI & Advanced Analytics: Apply modern AI and machine learning techniques, including LLM and generative AI tools where appropriate, to improve analysis, workflow efficiency, insight generation, and decision support., • Data Science Execution: Execute end-to-end projects by scoping business objectives, designing analytical approaches, building models, validating results, and delivering measurable solutions., • Insight Communication: Communicate findings clearly through visualizations, presentations, and written summaries, translating complex analyses into practical business recommendations. Qualifications & experience • 3+ years of relevant professional experience applying advanced analytics or data science to business problems with measurable impact., • Strong knowledge of statistical methods, hypothesis testing, regression analysis, causal inference, forecasting, and experimental design., • Demonstrated ability to independently scope, prioritize, and deliver analytical work with limited day-to-day technical oversight., • Hands-on experience working with large, complex datasets and building predictive models in cloud or distributed computing environments., • Proficiency in Python and SQL for data analysis, modeling, and workflow development., • Experience with cloud-hosted data platforms such as Google Cloud Platform, AWS, or similar environments., • Familiarity with marketing analytics, customer behavior analysis, campaign measurement, customer segmentation, and customer lifecycle concepts., • Comfort collaborating with IT on tracking and data pipelines, including server-side tracking, conversion APIs, and Online-to-Offline measurement., • Experience translating ambiguous business questions into structured analytical plans and practical solutions., • Proven ability to quickly learn and leverage emerging marketing technologies, particularly AI-based measurement and optimization models., • Strong communication skills, with the ability to work cross-functionally and explain technical concepts to business stakeholders., • Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, Economics, Operations Research, or a related field; advanced degree preferred. PREFERRED QUALIFICATIONS • Experience supporting ecommerce, retail, distribution, or other customer-focused commercial organizations., • Experience with marketing measurement, attribution, incrementality testing, media optimization, or promotion analytics., • Experience measuring marketing impact across both digital and offline outcomes, including branch visits, phone calls, and offline revenue., • Experience building reusable analytical workflows and collaborating IT to operationalize high-value outputs., • Familiarity with web tracking, digital analytics, and modern measurement frameworks such as GA4, conversion APIs, or privacy-aware analytics environments., • Experience with AI tools and/or machine learning systems in real-world business settings., • Knowledge of data visualization and BI platforms such as Power BI, Looker, or similar tools. About FleetPride FleetPride is the nation's largest distributor of truck and trailer parts and service in the independent heavy duty aftermarket. Our network includes retail, service, distribution, and wholesale divisions, all working together to deliver unmatched value to our customers.

This GCP Data Scientist must work 2 to 3 days in the local office. Only resume via LinkedIn not email will be reviewed. Responsibilities • Contribute to the migration of legacy data warehouse to a google cloud-based data warehouse, • Collaborate with Data Product Managers, Data Architects to design, implement, and deliver successful data solutions, • Help architect data pipelines for the underlying data warehouse and data marts, • Design and develop very complex ETL pipelines in Google cloud Data environments., • Our legacy tech stack includes Teradata and new tech stack includes GCP Cloud Data Technologies like BigQuery and Airflow and languages include SQL , Python, • Maintain detailed documentation of your work and changes to support data quality and data governance, • Support QA and UAT data testing activities, • Support Deployment activities to higher environments, • Ensure high operational efficiency and quality of your solutions to meet SLAs and support commitment to our customers (Data Science, Data Analytics teams), • Be an active participant and advocate of agile/scrum practice to ensure health and process improvements for your team Basic Qualifications • 8+ years of data engineering experience developing large data pipelines in very complex environments, • Very Strong SQL skills and ability to build Very complex transformation data pipelines using custom ETL framework in Google BigQuery environment, • Exposure to Teradata and ability to understand complex Teradata BTEQ scripts, • String Python programming skills, • Strong Skills on build Airflow Jobs and Debug issues, • Ability to Optimize the Query in BigQuery, • Hands-on experience on Google Cloud data Technologies ( GCS , BigQuery, Dataflow, Pub sub, Data Fusion , Cloud Function) Preferred Qualifications • Experience with cloud data warehouse technology BigQuery., • Nice to have experience with Cloud technologies like GCP (GCS , Data Proc, Pub/sub, Data flow, Data Fusion, Cloud Function), • Nice to have exposure to Teradata, • Solid experience with Job Orchestration Tools like Airflow and ability to build complex Jobs., • Writing and maintaining large Data Pipelines using Custom ETL framework, • Ability to Automate Jobs using Python, • Familiarity with Data Modeling techniques and Data Warehousing standard methodologies and practices, • Very good experience with Code Version control repository like Github, • Good Scripting skills, including Bash scripting and Python, • Familiar with Scrum and Agile methodologies, • Problem solver with strong attention to detail and excellent analytical and communication skills, • Ability to work in Onsite / Offshore model and able to lead a Team. The base compensation range for this role in the posted location is $76,200 to $187,740. Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave, • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada), • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada), • Life and disability insurance, • Employee assistance programs Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant in the United States. ___ Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Title: Data Architect/Team Lead (Hands-on) (Onsite 4 days, N. Dallas Area) Direct Hire Opportunity No Sponsorship Hybrid - 4 days onsite, 1 day remote We are seeking an experienced hands-on leader of Data Development/Architecture to shape and execute the organization's enterprise data strategy. As a recognized expert in data architecture, this hands-on leader will bridge business objectives with technical solutions, delivering actionable insights, robust data architectures, and scalable analytics capabilities. The role requires strong partnership with stakeholders, proactive anticipation of needs, and hands-on leadership to guide solution delivery from concept through production support. Requirements: • Minimum 7+ years of progressive experience in data architecture, solution development, and leading IT/data initiatives within consumer products, e-commerce, retail, or comparable industries., • Proven track record designing and delivering data management and analytics solutions in e-commerce, retail, sales, finance/accounting, and/or supply chain/warehousing environments., • Exceptional analytical mindset with strong problem-solving skills; detail-oriented yet capable of maintaining strategic perspective. Adept at probing beyond surface-level requests to uncover true business needs., • Deep expertise in data warehouse architecture (dimensional modeling, star/snowflake schemas) and data mining techniques., • Hands-on experience as a SQL developer, data engineer, or data scientist building scalable solutions., • Strong background architecting cloud-based data platforms (PaaS/SaaS), with emphasis on compute, storage, integration patterns, and connectivity., • Demonstrated success designing and managing Microsoft Azure analytics ecosystems, particularly Azure Synapse Analytics, Microsoft Fabric, and related services., • Solid understanding of software development lifecycle (SDLC), IT service management (ITSM), data privacy, and security principles., • Effective project management skills with experience leading cross-functional initiatives., • Outstanding technical writing and documentation abilities., • Broad application development experience covering full lifecycle: requirements, design, build, test, deploy, and sustainment—including creation and upkeep of supporting documentation., • Superior verbal and written communication skills; ability to adapt style and level of detail for executives, technical teams, and business users., • Strong interpersonal and relationship-building capabilities., • Proven capacity to juggle multiple priorities in a fast-paced environment., • Self-directed with excellent follow-through and ability to execute against defined objectives., • Meticulous attention to detail combined with a collaborative, team-first leadership approach., • Bachelor's degree in Computer Science, Data Analytics, Information Systems, Business, or a closely related field and/or equivalent experience may be considered (Master's preferred, but not required). Responsibilities: • Define and execute comprehensive data management and governance strategies aligned with business priorities., • Own the intake, prioritization, and lifecycle management of data and analytics requests from across the organization, ensuring timely delivery and clear stakeholder communication., • Build, lead, and mentor a high-performing team of database engineers, Power BI developers, and analytics professionals., • Utilize advanced data modeling techniques, AI/ML tools, and modern analytics platforms to unlock value from data., • Establish and enforce standards for data quality, integrity, consistency, and accuracy., • Oversee data storage architecture, access patterns, retrieval performance, and lifecycle management., • Drive in-depth data analysis initiatives—working with large, complex datasets to uncover trends, patterns, and insights that inform strategic and operational decisions., • Develop and manage budgets for personnel, tools, cloud resources, and related initiatives., • Lead requirements gathering, solution design, unit/integration testing, issue resolution, and go-live support., • Champion knowledge transfer, best practices, and reusable assets to accelerate delivery of data products and services that support company goals., • Provide coaching, professional development, and performance guidance to direct reports., • Maintain complete, up-to-date documentation for data warehouse processes, ETL pipelines, data models, and operational procedures., • Design and automate operational dashboards, recurring reports, and self-service analytics capabilities., • Collaborate cross-functionally to ideate, design, and implement innovative data handling approaches, platforms, and analytics solutions., • Develop compelling data visualizations and storytelling presentations to communicate insights and recommendations to leadership and business partners., • Translate complex findings and project objectives into clear, audience-appropriate communications. Comprehensive Benefits Provided

Provide technical leadership and guidance to other data scientists and senior analysts, setting a rigorous technical bar and developing repeatable frameworks (e. Mentor and uplevel junior and senior analysts/scientists, contributing to team best practices, code quality, documentation, and review pro

DemandTec is the only AI-powered retail merchandising platform that unifies pricing, promotions, markdowns, and trade funds in a single connected system. With 25 years of demand science, 120+ retail banner customers, and 7,800+ CPG suppliers connected — the largest network of its kind in the industry — we sit at the center of how the world's leading retailers and consumer goods companies make their most consequential commercial decisions. We're in the middle of a deliberate transformation: from best-in-class point solutions to a fully integrated, AI-native decisioning platform. The era of siloed pricing tools and disconnected promotional systems is ending. Retailers need a single platform where price strategy, trade promotion, and markdown decisions are made coherently — informed by the same demand science, governed by the same rules, and increasingly executed by intelligent agents. That's what we're building. The Opportunity This is the role at the center of that transformation. We're looking for a Senior Product Manager to lead the next generation of DemandTec's Price and Promotion platform — not as two modules that happen to share a roadmap, but as a single connected decision system that fundamentally changes how retailers optimize their commercial position. The opportunity is substantial. Base pricing, trade promotion management, and the retailer-CPG collaboration layer connecting 7,800+ suppliers are all in active evolution. AI agents are replacing manual workflows. Real-time data pipelines are replacing batch decisioning. And the retailers that optimize price and promotion coherently — not sequentially, not in separate tools — will have a structural margin advantage over those that don't. Your mandate is to design and ship the platform that gives them that advantage. What You'll Own • Connected platform strategy and roadmap. Explicit ownership of the seams where pricing decisions meet promotional economics, and where retailer strategy meets CPG trade investment., • The AI-native transformation of the pricing and promotion workflow. Agentic decisioning, LLM-powered recommendation engines, real-time promotional optimization, and autonomous pricing agents that act on behalf of category managers., • The CPG collaboration layer. The product vision for how 7,800+ CPG suppliers interact with retail buyers — deal lifecycle, trade fund governance, offer negotiation, and the financial accountability layer underneath it all., • Success metrics that matter. Pricing effectiveness, promotional ROI, trade fund utilization, and the customer adoption signals that confirm the transformation is landing. What You'll Do • Define and drive product strategy for connected price and promotion optimization, aligned with DemandTec's AI-first transformation and the commercial outcomes our customers care about most., • Design agentic pricing and promotional workflows — autonomous pricing agents, real-time promotional scenario modeling, and AI-assisted recommendations that reduce time-to-decision for category managers., • Translate complex retail economics — price elasticity, cannibalization, halo effects, trade fund ROI — into clear product requirements, user stories, and acceptance criteria that Engineering can build from., • Partner with Data Science to develop and ship ML-powered forecasting, demand modeling, and optimization capabilities that are transparent enough for customers to trust and act on., • Work directly with retail and CPG customers to validate product direction, understand how pricing and promotional decisions are actually made, and ensure adoption of new capabilities., • Evaluate technical trade-offs and guide architectural decisions for AI-driven systems that must perform at enterprise retail scale — thousands of stores, millions of SKUs, 7,800+ supplier connections., • Lead go-to-market planning for major capability launches, including sales enablement, competitive positioning, and post-launch iteration driven by real adoption data., • 5+ years of Product Management experience shipping scalable B2B or enterprise SaaS products, with a track record of measurable customer and business impact., • Deep domain expertise in retail pricing optimization AND trade promotion management. You need fluency across both sides of the pricing-to-promotion lifecycle — not just one., • Strong command of retail economics: price elasticity, demand forecasting, cannibalization modeling, promotional effectiveness, trade fund governance. You can hold a technical conversation with a Data Scientist and a commercial conversation with a Category Director., • Proven ability to translate complex pricing and promotional challenges into precise product requirements and prioritized roadmaps in Agile environments., • Direct experience working with enterprise retail or CPG customers — understanding what decisions they're making, what's hard about making them, and what better actually looks like in practice., • Experience building or managing AI-native products, agentic systems, or LLM-powered decision workflows in a retail or CPG context., • Hands-on experience with trade promotion management platforms, retailer-CPG collaboration systems, or deductions and fund management workflows., • Familiarity with cloud-native architectures (Azure, AWS), microservices, and RESTful APIs — enough to evaluate technical trade-offs with Engineering., • Background in category management, pricing science, or demand planning at a retailer or CPG company., • MBA or advanced degree in a quantitative field: Economics, Computer Science, Statistics, or Operations Research., • Competitive Salary & Bonus: Annual discretionary, performance-based bonus, • Health & Wellness: Comprehensive medical, dental, and vision coverage for you and your dependents, • Retirement: 401(k) with company match, • Time Off: Flexible PTO policy + 11 paid company holidays, • Remote-First: Work from anywhere in the United States; we're built for distributed teams, • Growth: Annual professional development opportunities for conferences, courses, and certifications, • Equipment: Choice of MacBook Pro or Windows PC, • Impact: Direct influence on a mission-critical platform used by leading global retailers

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 116 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit ___. Team Description: This role is part of the Ads Measurement, Signals, and Privacy organization at Reddit. Ads identity empowers Reddit’s ads delivery, targeting, and measurement products to better measure and increase ROAS by linking actions on and off Reddit to the person or people who took them while honoring their privacy preferences. This team collaborates regularly with stakeholders across all of Reddit’s product teams to set a long-term vision and maximize the value of the linkages we create. We are solving complex problems in an increasingly challenging environment of meeting stricter consumer privacy expectations. Role description: You will apply your strong critical thinking and analytical reasoning skills to go deep into the details of identity matching with software and machine learning engineers. You'll make decisions about what work to prioritize based on opportunity sizing and a clear vision for the long-term. You will directly own execution of multi-team projects and be accountable for annual goals reported directly to our VPs. This role provides an opportunity to massively improve a critical system for Reddit’s business in a relatively short time frame with a clear path to increased ownership and responsibility for broader end-to-end strategic ownership. • Deliver improvements to our identity system that quickly and significantly improve our ability to link events to people, • Define and prioritize the product roadmap and collaborate with other ads product managers across the organization to set long-term strategy, • Develop an expert-level understanding of the ads identity ecosystem through self-learning, data exploration, and market research, • Create metrics and goals, in collaboration with data science, to incentivize models and the entire team to deliver maximum value, • Partner closely with Data Science, Engineering, Legal, and Privacy teams that deliver sustainable system improvements, • Bachelor's degree (or foreign equivalent) in Computer Science, Computer Engineering, Statistics, Economics, Engineering, Applied Sciences, Mathematics, Physics, or a related field, • 2+ years as a product manager of a machine learning product or 5+ years as data scientist working with product teams, • Experience delivering / partnering with product and cross functional teams to deliver complex and scaled projects, • Strong analytical skills with experience in applied statistical analysis, • A foundational understanding of the ads identity ecosystem, • Experience directly driving execution across all aspects of product development cycle, • Proven ability to collaborate cross functionally and without direct authority, • Experience writing SQL queries and exploring data independently, • PhD or Masters in Probability, Statistics, or Behavioral Economics, • 2+ years working on an ads product measuring or serving behavioral advertising, • 2+ years setting goals for a product team, • Experience building or sourcing ground truth data sets, • Collaborate & Partner: Work closely with product management, partner management, and other engineering teams to ensure the Ads API meets the needs of both internal stakeholders and external developers. Who You Are: You are a high-agency leader who doesn't wait for direction; you see what needs to be done and take the initiative to make it happen. You have a strong sense of ownership and are driven to find solutions, work through ambiguity and enjoy complex challenges. Required Qualifications: • 5+ years of industry experience as a Software Engineer., • 2+ years managing (including coaching, mentoring, developing) engineering teams., • Demonstrated ability to drive projects from inception to completion, acting as the primary agent of change., • Proven experience designing, building, and operating scalable, public-facing APIs (e.g., REST, gRPC)., • Experience with at least two general programming languages such as Python, Go, Scala, Java, or C++., • Excellent communication skills, both written and verbal, and the ability to work effectively with product managers, data scientists, and other xfn stakeholders. Preferred Qualifications: • Experience managing Infrastructure or Platform teams., • Experience in the advertising technology space., • Experience with API gateways, authentication/authorization protocols (e.g., OAuth), and rate limiting. Benefits: • Comprehensive Healthcare Benefits and Income Replacement Programs, • 401k with Employer Match, • Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support, • Family Planning Support, • Gender-Affirming Care, • Mental Health & Coaching Benefits, • Flexible Vacation & Paid Volunteer Time Off, • Generous Paid Parental Leave #L1-AS1 Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit ___. To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base pay range for this position is: $190,800 - $267,100 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our ___. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Role: ML/AI Engineers (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,(___) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company – we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence: Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: · Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. · Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. · Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. · Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. · Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. · Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. · Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. · Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. · Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. What You’ll Bring Experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Software engineering and/or Data Engineering background, especially in one of the major clouds. Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks Experience putting ML/AI into production, and ability to talk through best practices and pitfalls. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

These are teams I'd put up against anyone doing technical work in sports analytics today, working with tracking and pose data that most researchers and analysts won't have access to for years.

Understand product use-cases and define key performance metrics for models according to business requirements.

Valo Health is a human-centric, AI-enabled biotechnology company working to make new drugs for patients faster.The company’s Opal Computational Platform transforms drug discovery and development through a unique combination of real-world data, AI, human translational models and predictive chemist

Serve as lead when working collaboratively with teams of health services researchers and business analysts to draw insight and intelligence from large administrative claims datasets, electronic medical records and various healthcare registry datasets;. Identify and develop solutions that can be impl

Healthcare in the U.S. is fundamentally broken. The system is so complex that 88% of U.S. adults do not have the health literacy necessary to navigate it without help. Solace cuts through the red tape of healthcare by pairing patients with expert advocates and giving them the tools to make better decisions—and get better outcomes. We're a Series C startup, founded in 2022 and backed by Inspired Capital, Craft Ventures, Torch Capital, Menlo Ventures, Signalfire, and IVP. Our U.S. based team is lean, mission-driven, and growing quickly. Solace isn't a place to coast. We're here to redefine healthcare—and that demands urgency, precision, and heart. If you're looking to stretch yourself, sharpen your edge, and do the best work of your life alongside a team that cares deeply, you're in the right place. We’re intense, and we like it that way. Read more in our Bloomberg funding announcement ___. At Solace, data isn't just about understanding the past; it's about predicting the future. We are a rapidly scaling startup where we work hard, move fast, and wear many hats. The Solace Data Team is looking for a Data Scientist who excels at forecasting, prediction, and machine learning to help us anticipate patient needs and optimize our operations. Reporting directly to the VP of Data, you will have the opportunity to lead high-impact projects that directly influence our strategic decision-making. In this role, you will go beyond descriptive analytics to build the predictive engines that drive our business. Whether you are forecasting operational volume, modeling patient risk, or designing rigorous A/B tests, you will bridge the gap between advanced statistics and practical business application, ensuring our models are robust, interpretable, and impactful. * Build Predictive Models: Develop and refine machine learning models to solve critical business problems, such as predicting patient churn, estimating operational volume, or scoring advocate quality. * Drive Forecasting Rigor: Own the development of time-series forecasts that guide our capacity planning and resource allocation. You will help us anticipate "what comes next" with higher accuracy. * Design & Analyze Experiments: Lead the design and analysis of A/B tests and causal inference studies. You will ensure we measure the true impact of our product and operational changes. * Uncover Deep Insights: Apply advanced statistical methods to complex datasets to find patterns that simple reporting might miss. You will answer the "why" and "how" behind our most difficult questions. * Productionize Solutions: Work closely with Data Engineers to take your models from a local notebook to a production environment, ensuring they run reliably within our data infrastructure. * Communicate Complexity: Translate complex statistical findings into clear, actionable narratives for non-technical stakeholders. You will be the voice of statistical reason in strategic discussions. * Statistical Expertise: You have a strong background in statistics, probability, and mathematics (e.g., hypothesis testing, regression analysis, time-series forecasting). * Python & ML Proficiency: You are fluent in Python and its data science ecosystem (pandas, scikit-learn, statsmodels, NumPy). You write clean, reproducible code. * Forecasting Experience: You have hands-on experience with time-series analysis and forecasting techniques (e.g., ARIMA, Prophet, exponential smoothing). * Advanced SQL: You can write complex queries to wrangle your own data from Snowflake without relying solely on others to prepare it for you. * Preferred Masters Degree or PHD: Data Science, Applied Science, or related fields. * Data Privacy Awareness: You understand the importance of protecting patient data. You are familiar with best practices for handling PHI and PII and ensuring privacy in your analysis. * Startup DNA: You are a self-starter who is comfortable with ambiguity. You take ownership of problems and are willing to wear many hats to get the job done. * Deployment Experience: Experience using tools like Docker, Airflow, or MLflow to deploy and monitor models in production. * Healthcare Experience: Experience working with healthcare or insurance claims data is a plus. * NLP & Unstructured Data: Experience applying Natural Language Processing (NLP) techniques to extract insights from unstructured text data. * Marketplace Matching: Experience designing matching algorithms or ranking systems for two-sided marketplaces. * dbt & Engineering Skills: Comfort reading or writing dbt models to understand the lineage of your data. Applicants must be based in the United States. Up for the Challenge? We look forward to meeting you. Fraudulent Recruitment Advisory: Solace Health will NEVER request bank details or offer employment without an interview. All legitimate communications come from official solace.health emails only or ___. Report suspicious activity to or .

We’re looking for a Staff Data Scientist to lead the science behind how advertisers understand the impact of their investment on Pinterest through first and third party measurement products. You’ll push the boundaries of ads measurement, advancing our approaches to causal inference and incrementality and partner closely with Product and Engineering, as well as represent Pinterest science externally with customers and partners. What you’ll do: • Own the development of measurement methodologies that help advertisers understand and optimize the value of their Pinterest campaigns across the full ads delivery funnel., • Design, implement, and validate advanced causal inference methods for incrementality and lift measurement., • Ensure scientific rigor in our measurement products by anticipating and mitigating risks such as bias, imbalance, and under-power., • Influence Ads Product & Engineering to define the measurement roadmap and integrate science solutions into products and platforms., • Collaborate with internal and external measurement partners (e.g., clean rooms, conversion APIs, MMM partners, MTA vendors) to design and evaluate joint solutions., • Define and own key success metrics for 1P measurement products; build tools and frameworks that enable teams and advertisers to make better decisions., • Provide technical leadership and mentorship to other data scientists and analysts, elevating measurement rigor and impact across the org., • Clearly communicate complex concepts and tradeoffs to executives, cross-functional stakeholders, and external customers. What we’re looking for: • 8+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data., • 5+ years in ads measurement with a strong focus on ad effectiveness and incrementality (e.g., conversion lift, brand lift, budget-split testing, matched-market tests, MMM, MTA)., • Proficiency in SQL and expertise in at least one scripting language (ideally Python or R)., • Strong business and product sense, with a track record of turning ambiguous questions into well-defined analyses or success metrics and driving decisions that balance scientific rigor and business value., • Demonstrated leadership of key technical projects and meaningful influence on the work of other data scientists, particularly junior and senior peers., • Excellent communication skills and experience leading initiatives across multiple product areas and partnering with leadership and cross-functional teams., • Bachelor’s/Master’s degree in a relevant field such as Computer Science, or equivalent experience. In-Office Requirement Statement: • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection., • This role will need to be in the office for in-person collaboration 1 times per week and therefore needs to be in a commutable distance from one of the following offices San Francisco, Palo Alto, or Seattle. Relocation Statement: • This position is not eligible for relocation assistance. Visit our___ page to learn more about our working model. #LI-NM4 #LI-REMOTE

Machine Learning Data Scientist. You’ll contribute end to end by designing and validating deep learning approaches for large‑scale wearable time‑series and running rigorous evaluations on research and clinical datasets. Lead collaborations with scientists, clinicians, engineers, and product te

The role will apply statistical programming, modeling, visualization techniques, data mining, and forecasting skills to analyze challenging public sector problems.Analytica has been recognized by Inc.We offer competitive compensation with opportunities for bonuses, employer paid health care, trainin

GoodAtNumbers is building an always-on decision intelligence platform that is trying to replace what a data scientist, data analyst and a business analyst does. We are turning a strong product architecture into a production-ready system that is reliable, observable, scalable, and easy to ship. We are hiring a Software Engineer Intern (Platform & DevOps) for a paid 12-week summer internship from May through July 2026. This is a remote role based in the United States and is expected to be 40 hours per week. Compensation for this internship is $23/hour. In this role, you will help us scale the platform and strengthen the engineering foundation behind the product. This is a high-ownership internship for someone who enjoys backend systems, infrastructure, reliability, automation, and turning prototypes into production-grade software. What you’ll work on • Improve deployment, release, and environment workflows so the team can ship faster with fewer issues, • Strengthen observability across services, jobs, and pipelines using logs, metrics, tracing, alerts, and dashboards, • Improve the reliability and performance of ingestion jobs, scheduled metric computation, backend services, and platform tooling, • Help harden infrastructure across cloud services, object storage, databases, secrets, permissions, and service configuration, • Improve CI/CD, test automation, rollback readiness, and production debugging workflows, • Core services and jobs are easier to deploy, monitor, and troubleshoot, • Engineering workflows are faster and more reliable, • 2+ years of hands-on software engineering experience preferred through internships, startups, research labs, open-source work, or production projects, • Strong programming fundamentals and comfort working in backend systems, • Experience with DevOps, platform engineering, or SRE-style work preferred, • Experience with containers, CI/CD pipelines, infrastructure automation, and cloud services preferred, • Experience with relational databases, object storage/data lakes, and scheduled or background jobs preferred, • Comfort debugging production issues, improving developer workflows, and writing maintainable code, • Experience with Azure, AWS, or GCP, • Experience with Docker, Kubernetes, Terraform, GitHub Actions, or similar tooling, • Experience with Postgres, data pipelines, or analytics/ML infrastructure We welcome applicants from all backgrounds and evaluate candidates based on skills, execution, communication, and fit for the role.

We are looking for a skilled Data Scientist who will help us analyze large amounts of raw information to find patterns and use them to optimize our performance. You will build data products to extract valuable business insights, analyze trends and help us make better decisions. We expect you to be highly analytical with a knack for analysis, math and statistics, and a passion for machine-learning and research. Critical thinking and problem-solving skills are also required. * Research and detect valuable data sources and automate collection processes * Perform preprocessing of structured and unstructured data * Design, implement and deliver maintainable and high-quality code using best practices (e.g. Git/Github, Secrets, Configurations, Yaml/JSON) * Review large amounts of information to discover trends and patterns * Create predictive models and machine-learning algorithms * Modify and combine different models through ensemble modeling * Organize and present information using data visualization techniques * Develop and suggest solutions and strategies to business challenges * Work together with engineering and product development teams * 3+ years' experience of working on Data Scientist or Data Analyst position * Significant experience in data mining, machine-learning and operations research * Experience with data modeling, design patterns, building highly scalable and secured solutions preferred * Prior experience installing data architectures on Cloud providers (e.g. AWS,GCP,Azure), using DevOps tools and automating data pipelines * Good experience using business intelligence/visualization tools (such as Tableau), data frameworks (such as Hadoop, DataFrames, RDDs, Dataclasses) and data formats (CSV, JSON, Parquet, Avro, ORC) * Advanced knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset • MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or other quantitative field is preferred, • Must be a U.S. Citizen

VHA supports and provides medical care for VA’s eligible beneficiaries through the VA health program, which includes VA Medical Centers (VAMCs) and contracted health care networks.The Office of Clinical Informatics within the Office of Health Informatics (OHI), Digital Health Office (DHO) advances

Job Link: ___ Glocomms is seeking a talented Data Scientist specializing in Computer Vision to join our dynamic team in San Francisco County, CA. In this pivotal role, you will leverage advanced algorithms and machine learning techniques to transform visual data into actionable insights, driving innovation and enhancing our technology offerings. Your contributions will be crucial in developing cutting-edge solutions that improve user experiences and optimize operational efficiencies across various domains. As a Data Scientist in Computer Vision, you will design and implement robust models to analyze and interpret images and videos, collaborating closely with cross-functional teams to integrate these capabilities into our products. Your responsibilities will include preprocessing large datasets, deploying machine learning frameworks, and conducting experiments to refine model accuracy. You will also have the opportunity to present your findings to stakeholders, influencing our strategic direction in the technology landscape. The ideal candidate will possess a Master’s or Ph.D. in Computer Science, Engineering, or a related field, with a strong foundation in machine learning, deep learning, and computer vision techniques. Proficiency in programming languages such as Python or R, along with experience in utilizing frameworks like TensorFlow or PyTorch, is essential. A passion for problem-solving and a creative mindset will set you apart as you tackle complex challenges in the field. This is an exciting opportunity to join a forward-thinking company that champions innovation and embraces the latest advancements in technology. At Glocomms, you will not only contribute to groundbreaking projects but also enjoy a collaborative work environment that fosters professional growth and development. Join us as we redefine the future of technology through the power of data and vision. • •Master’s or Ph.D. in Computer Science or Engineering, • •Strong foundation in machine learning and deep learning, • •Experience in computer vision techniques, • •Minimum of 2-3 years of relevant experience, • •Proven track record of successful projects, • •Strong analytical and critical thinking skills, • •Excellent communication and presentation abilities

We are seeking a highly experienced and driven Senior Machine Learning Data Scientist to join our Women's Health team. Drive the commercialization of machine learning models and algorithms, collaborating closely with cross-functional teams including scientists, product managers, software developers,

This role involves working closely with data operations and reporting teams to design, develop, and execute automated data reporting solutions with the highest standards of quality and performance. The Data Scientist will play a critical role in improving the quality and accessibility of data soluti

Data Science experience working with large-scale data and statistical analysis, including. Senior Data Scientist, Fraud Prevention,. Analyze large, complex datasets to identify abuse patterns, fraud signals, and harmful behavior trends.

Analyze large-scale manufacturing data, including. Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI.

Analyze data from multiple databases to drive optimization and improvement of quality outcomes, resource utilization, and risk adjustment. In addition, the Principal Data Scientist will also have the opportunity to ask novel, data-driven questions and drive new analyses. Develop custom data models a

How many times do you get the opportunity to be on the ground floor of a big and important mission? What if you could be one of the top contributors defining the mission, guiding our teams, and influencing the direction of Dropbox’s AI-first journey? As a Senior Data Scientist for this new division, you will get to do exactly that. You will join a team of top-tier data scientists and become an integral part of the product organization, helping to scale this new business. Joining on the ground floor of this startup team, you’ll partner directly with Data Science, Product, Engineering and Design leadership to shape the product roadmap, foster a top-tier, data-informed culture, and drive real AI/ML impact and execution along the way! • Partner with Product Engineers and Data Engineers to build the reliable, efficient, and scalable data foundations, tools, and processes to drive our AI/ML capabilities’ long-term growth, • Leverage data-driven insights to proactively identify most impactful opportunities, and directly influence product roadmaps and strategies, • Perform exploratory and deep-dive analysis to understand user workflows and engagement patterns on AI features, propose hypothesis, and design & execute experiments with great rigor and efficient data techniques, • Translate complex data insights into implications and recommendations for the business via excellent communication skills, both verbal and written, • Identify what matters most and prioritize ruthlessly for the area you will own, • Contribute to a culture of strong technical ownership, partner with DS leadership to keep evolving DS working model and elevate DS impact, • Work with cross-functional teams (including Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate, • Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field, • 7+ years experience of leveraging data-driven analysis to influence product roadmap and business decision, preferably in a tech company, • Proven track record of being able to work independently, driver measurable business impact, and proactively engage with business stakeholders with minimal direction, • Proficiency in SQL, Python or other programming/scripting languages, • Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees, • Ability to provide data insights and recommendations for 0→1 product even when sample size is small, • Strong verbal and written communication skills, • Experience in startups or building 0→1 products, • Expertise in using data to inform AI/ML product development, • Background in SaaS product US Zone 1 This role is not available in Zone 1 US Zone 2 $173,700 - $234,900 USD US Zone 3 $154,400 - $208,800 USD

Cultivate a data-driven culture with your skill for storytelling with data, translate analyses into clear, compelling narratives and visualizations that enable informed decision-making across stakeholders. Ensure data quality and usability through regular monitoring and data pipeline creation, while

Quickly ramp up on new healthcare data sources as products evolve and adapt to new ML techniques and tools as needed for product requirements. Degree or equivalent years of experience in data science, statistics, computer science, or similar quantitative field. Experience on a data team of a similar

Provide strategic input on product development, data collection, data architecture, front-end development, and general business strategy. Our platform provides a unique opportunity for senior data scientists to work closely with leading sports and live event organizations in developing innovative te

Mentor and develop senior and mid-level data scientists, raising the overall technical bar across the organization. Staff Data Scientist leads machine learning and decisioning systems powering personalization, lifetime value (LTV) prediction, and real-time commercial optimization across our marketpl

SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries.Founded in 2013 by security and risk experts Dr.Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating t

We are seeking a highly analytical and impact-driven Senior Data Scientist to help shape our product strategy and decision-making through data. Strong experience in product analytics or a similar data-focused role, with a proven ability to impact product strategy and decision-making through data. Ex

Simplicity is a modern digital services company that partners with government agencies to improve the lives and protect the well-being of all Americans, from veterans and service members to children, families, and seniors.Our engineers, designers, and strategists cut through complexity to create int

GoodAtNumbers is building an always-on decision intelligence platform that is trying to replace what a data scientist, data analyst and a business analyst does. We are hiring a strong software engineering intern to help turn that architecture into polished, reliable product experiences. We are hiring a Software Engineer Intern (Product & Backend) for a paid 12-week summer internship from May through July 2026. This is a remote role based in the United States and is expected to be 40 hours per week. Compensation for this internship is $23/hour. This role is best for someone who enjoys building product features end-to-end, writing clean backend logic, improving code quality, and shipping systems that users can rely on. You will help build and refine core workflows across the platform while working closely with the rest of the engineering team. What you’ll work on • Build product features across areas such as workspace setup, dataset and document workflows, semantic model workflows, metrics, investigations, evidence views, decision workflows, and operator-facing product surfaces, • Design and implement backend services, APIs, data models, and application logic, • Improve code quality through testing, refactoring, documentation, and better engineering practices, • Help connect deterministic tools and backend systems to user-facing workflows in a reliable and maintainable way, • Improve performance, usability, and overall engineering quality in the core product, • Meaningful product features are shipped to a high standard, • Core backend code is cleaner, better tested, and easier to extend, • 3+ years of relevant software development experience preferred through internships, startups, research labs, open-source work, or production projects, • Strong software engineering fundamentals, problem-solving ability, and ownership, • Experience with backend development, APIs, and relational databases preferred, • Experience with modern frontend frameworks and/or full-stack application development preferred, • Experience with testing, code review, debugging, and maintainable application design preferred, • Experience with Python and/or JavaScript/TypeScript preferred, • Comfort working in ambiguous product environments and translating product ideas into shipped software, • Experience with React, Next.js, FastAPI, Django, Node.js, or similar frameworks, • Experience with Postgres, workflow systems, dashboards, or analytics/data products, • Experience with auth, permissions, auditability, or evidence-heavy enterprise workflows We welcome applicants from all backgrounds and evaluate candidates based on skills, execution, communication, and fit for the role.

We solve challenging problems and boost business growth through. Develop a deep understanding of customer journey phases and key business metrics. Translate complex concepts into implications for the business via excellent communication skills, both verbal and written.

Data Scientist, Analyst, or similar role, with demonstrated ability to solve complex data challenges. Our platform consists of two core products: Populus, which provides access to realistic, high-resolution synthetic population data, and Polaris, which enables scenario planning through advanced data

We believe in a curiosity-driven data science culture where members have autonomy to deliver impact through analyzing data, building reusable tools & processes and integrating with live engineering services. At Stitch Fix, our data science team combines data insights with expert human judgment to ge

Arcadia is the global utility data and energy solutions platform. With our leading data platform, AI-powered analytics, industry expertise, and expansive partner network, we deliver solutions for every stage of the enterprise energy management lifecycle across carbon, cost, and reliability. Arcadia’s Enterprise Energy Management Solutions are built on a foundational data platform that has been developed for over a decade and scaled across millions of customer facilities. We transform fragmented data and siloed processes into coordinated, enterprise-wide action with comprehensive solutions including: • Utility Bill Management: Lower utility costs and streamline bill management with automated bill payment, proactive error identification, optimized tariff structures, and budgeting & forecasting., • Energy Procurement Advisory: Source clean energy through a comprehensive evaluation of supply options - including traditional retail options and onsite and offsite resources — to effectively manage risks, reduce costs, and achieve corporate sustainability goals., • Sustainability Reporting: Achieve compliance goals and track carbon emissions with standardized energy data and seamless integration with leading sustainability platforms. Tackling an enterprise client’s most critical energy challenges requires out-of-the-box thinking & diverse perspectives. We’re building a team of individuals from different backgrounds, industries, & educational experiences. If you share our passion for ushering in the era of the clean, cost-effective electrons, we look forward to learning what you would uniquely bring to Arcadia! What we’re looking for: We are seeking an innovative and results-oriented Lead Data Scientist with a strong understanding of machine learning, generative AI, and data-driven product development to join our dynamic AI Strategy and Development Team. This pivotal role focuses on architecting and implementing cutting-edge AI solutions for the energy sector, working directly with leadership to shape our technical vision and product roadmap. This role will initially report to SVP, R&D. Arcadia is remote-first and employees have access to co-working spaces. We are open to candidates based in Washington DC or New York. #LI-REMOTE • Collaborate directly with executive leadership to shape the technical AI strategy and product development at Arcadia, • Efficiently develop notebook-based and agentic solutions for internal and external customers, utilizing AI models, and Arcadia’s APIs and data, • Lead the development and integration of Gen-AI models and agents into Arcadia’s products and processes, • Design and implement Machine Learning algorithms for critical energy applications, including forecasting, anomaly detection, and energy optimization, • Partner with data teams, Arcadia’s subject matter experts, and customer teams to seek, understand, validate, interpret, and correctly use data, models, and outputs., • Work with engineering to integrate models into the Arcadia Platform, contributing to design documents, code commits, and AI product documentation, • Contribute code to enhance our platform’s AI and data capabilities, • Collaborate effectively with remote team members, • Gen AI experience - both in the development of agentic / LLM-based product features and the use of Gen AI-based products in day-to-day model development, • 2-5 years of experience developing Machine Learning/AI-based systems in an iiterative or dynamic/agile development environment. Experience in the energy sector is preferred., • A minimum of 10-12 years of technical experience in data and/or engineering, • Master’s or Doctoral degree in Computer Science, Electrical Engineering, Statistics, or equivalent fields., • Practical experience with Applied Machine Learning techniques, including regression, classification, and supervised/unsupervised learning, • Fluency with Python or R, SQL, and Java or JavaScript, • Experience with software engineering for real-world applications (ideally through professional experience), • Strong foundation in mathematics including, linear algebra, calculus, probability, and statistics, • Experience with scalable machine learning (MapReduce, streaming)., • Experience with time series and dynamical systems., • Ability to manage projects and work efficiently independently and collaboratively, • Ability to quickly formulate and document assumptions to advance projects, • Strong commitment to continuous learning and professional growth, solution-oriented, and committed to making a positive impact, • Ability to communicate complex technical concepts to both technical and non-technical stakeholders, • Prepared to share project portfolio (GitHub, papers, etc.). Benefits: • "Remote first" culture - work anywhere in the US as long as you have a reliable internet connection, • Flexible PTO - no accrued hours and no limit on the number of vacation days exempt employees can take each year, • 12 annual holidays, • 10 days sick leave, • Up to 4 weeks bereavement leave, • 2 volunteer days off, • 2 professional development days off, • 12 weeks paid parental leave for all parents, • 75-95% employer cost coverage for medical, dental, and vision benefits for employees and dependents Eliminating carbon footprints, eliminating carbon copies. Here at Arcadia, we cultivate diversity, celebrate individuality, and believe unique perspectives are key to our collective success in creating a clean energy future. Arcadia is committed to equal employment opportunities regardless of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, protected veteran status, or any status protected by applicable federal, state, or local law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation by emailing prior to completing your application.. Target Base Range for this role will be $146,250 to $262,000. There will also be a competitive benefits and equity component to the package. The exact compensation at which this job is filled will be determined by the skills, experience, and location of the qualified candidate. Please note that we are unable to offer visa sponsorship for this position at this time. Automated Screening Technology: To ensure a fair and timely review of the high volume of applications we receive, Arcadia may utilize AI-assisted technologies to help our team identify candidates who best meet the qualification criteria for this role (based on skills, experience, and education). Please Note: Automated tools provide recommendations based on your resume content and application questions. While we may use automated screening for basic eligibility (e.g., visa status, location), employment decisions regarding qualifications are not made solely by AI without human oversight. Data Privacy & California Residents: You voluntarily provide personal information (such as your resume, contact details, and assessment responses) when submitting an application. We may use this to evaluate your candidacy and derive inferences from this data to match your profile with open roles. For California Residents: This collection is consistent with the CCPA. You have the right to request access to or deletion of your data by contacting *Visa Sponsorship • Select R&D & Data roles: We are proud to offer visa sponsorship opportunities for qualified candidates interested in joining our team, • Other roles: Please note that we are unable to offer visa sponsorship for this position at this time Thank you

As a Senior Data Scientist on the team, you will have the opportunity to play a significant role in driving the success of key product areas at Reddit (Consumer, Ads, Safety etc. The Data Science Team at Reddit is growing and we are looking for experienced Data Scientists to partner with our cross-f

We are looking for a talented individual to join the Core Data Science team at LaunchDarkly – a small but mighty team responsible for core methodology within our product line.