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Job Description Raba Kistner, Inc. is a premier Engineering Consulting and Program Management firm. Our purpose is to build a better and more sustainable world for our employees, their families, our clients, and the communities we serve. Our Core Values are: • Community “We care for our communities”, • Integrity “We act with integrity”, • Passion “We infuse passion into everything we do”, • Quality “We believe quality comes from a culture of innovation and continuous improvement” Other responsibilities include: • Performance of field activities including but not limited to site evaluations, stormwater feature data collection, identifying storage tank volumes, measuring secondary containment dimensions, annotating feature locations on maps, collecting photographic evidence and developing an inventory of oil containing materials., • Meet schedules and budgets for assigned projects., • Conduct field work to support environmental projects, including photographs and field mapping., • Interpret technical information and prepare technical reports, with particular focus on SWPPP and SPCC plans., • Assists with periodic SWPPP and SPCC compliance inspections if required., • Coordination of map drafting requests by preparing handwritten or electronic mapping instructions., • Independently scheduling site inspections directly with clients and peers., • Interact in-person with clients as necessary., • Apply independent judgment in decision making while conforming to written Standard Operating Procedures., • Performing basic mathematical calculations to estimate volumes., • Utilize web-based software in the development of written plans., • Utilize Microsoft Excel spreadsheets for project tracking and time reporting purposes., • Other duties as assigned by managing supervisor, • Bachelor’s Degree or higher in Environmental Science/Engineering, Chemistry, Geology, Biology, or related field required., • 0-3 years of relevant experience preferred., • The Clean Water Act., • SWPPP and SPCC Plans (preferred). The following physical activities described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions and expectations. Regularly stand, walk, sit, use hands to finger, handle, or feel, reach with hands and arms, stoop, kneel, crouch, or crawl, talk or hear, taste or smell, drive vehicle short and/or long distances. Occasionally required to lift and/or move up to, 50 pounds. Specific vision abilities required by this job include close vision, distant, peripheral vision, depth vision. Work environment may requires potential exposure to movement of heavy equipment on construction or roadway sites; potential exposure to varying weather conditions, hazardous dangerous chemicals and solvents, noise, dust, fumes, grease and oils, radiant and electrical energy, and vibration; all of which would require employee to follow proper safety procedures and utilize appropriate protective equipment. This position may require protracted or irregular hours. Flexibility to work irregular hours is necessary due to client needs. EOE/Disabled/Veteran Drug Free Workplace

Job Description About Us Catalyst Labs is a specialized talent partner with a focus on recruiting top-tier engineers across Software, Data, and AI-driven domains. We are deeply embedded in our clients’ technical hiring operations. We collaborate directly with Founders, CTOs, and Heads of AI at Tier 1 VC backed startups, scale ups and enterprise tech like Palatir, who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems Our Client: A fast-growing technology company that embeds top engineering talent directly into customer environments to solve high-impact operational and data challenges. They help enterprises rapidly build and scale mission-critical applications that drive measurable business outcomes. The company bootstrapped to generate $25M in revenue and raised $6.7M in total funding, supporting its continued growth and expansion. Location: Hudson Yards, NY Work type: Full time, Hybrid (travel required 10 to 30% of the time) Overview This role is centered around partnering directly with customers to solve their most valuable and complex problems. As a Forward Deployed Software Engineer, you will work hand-in-hand with stakeholders to design, build, and maintain high-impact applications that drive real business change. Your day-to-day work involves understanding mission-critical objectives, transforming enterprise data into operational workflows, and delivering tools that executives and frontline teams rely on to make informed decisions. You’ll move fast rapidly iterating, building systems from scratch, and enabling organizations to modernize their operations at exceptional speed. Beyond writing code, you will play a key role in reshaping how entire teams operate by delivering powerful, data-driven solutions that directly influence business outcomes. Key Responsibilities * Work closely with customer stakeholders to understand their most critical business objectives and translate them into high-impact technical solutions. * Architect, develop, and maintain applications that operationalize enterprise data and drive measurable business outcomes. * Build end-to-end workflows using large structured and unstructured datasets in production environments. * Iterate rapidly, often building systems from scratch, to help customers transform their operations at exceptional speed. * Collaborate directly with executives, operators, and cross-functional teams to deploy tools that meaningfully improve business processes. * Own projects autonomously taking full responsibility for delivery, implementation, and long-term success. * Embed with customer teams as needed, providing both technical expertise and on-the-ground support. * Travel to client sites as required (typically 10 to 33%) to support implementations and ensure successful adoption. * Work hybrid/on-site at company offices (London, New York, Washington D.C., or Denver) and at customer locations during key phases of deployment. Qualifications Required * Bachelor’s or Master’s degree in Computer Science or a related field. * 1 to 5 years of experience as a fullstack engineer, data engineer, or FDE * Strong analytical and problem-solving skills, with the ability to break down complex challenges and deliver practical, production-ready solutions. * Proficiency in Python and/or TypeScript. * Demonstrated experience building applications that leverage large datasets in real-world production environments. * Proven track record of delivering measurable outcomes through codewhether as a software engineer, data scientist, or technical analytics lead. * Ability to work independently and own outcomes end-to-end while also collaborating effectively with technical and non-technical stakeholders. * Excellent communication and interpersonal skills to work closely with customers and internal teams. * Willingness to travel for customer implementations (10 to 33% depending on project). * Enthusiasm for working hybrid-in-person at one of the company’s office locations and onsite with customers. Preferred * Experience working with Palantir Foundry and/or AIP. * Experience delivering production ML or LLM-based solutions. * Experience building production React frontend applications. * Familiarity with Spark, distributed computing, or large-scale data processing frameworks. Note: We adhere to strict data protection policies to ensure that your information is secure and only shared with potential employers with your explicit consent to ensure your confidentiality throughout the hiring process

Job Description Are you highly motivated, hard-working, and seeking to join a growth-focused consulting & engineering firm? Are you looking for a company that will invest in your development and grow your professional skills? If so, consider a career with Apex! Powered by record sales, extraordinary client retention, strategic acquisitions, and an entrepreneurial spirit, Apex Companies is one of the fastest growing engineering and environmental consulting firms in the US. We were recently recognized by the Zweig Group as one of the fastest growing firms in the AEC industry. We take pride in providing our clients with exceptional service and have earned numerous awards for project excellence. We continue to grow, and we want you to grow with us. Apex is seeking entry-level Environmental Field Scientists that will be responsible for conducting comprehensive on-site environmental assessments at various operational sites to ensure compliance with applicable federal, state, and local regulations, as well as internal corporate environmental protocols. This role, utilizing an established checklist, will evaluate facility operations; identify risks; ensure environmental programs are properly implemented; and provide correct actions as needed to support environmental regulatory programs. This posting is for Dallas, TX but we are hiring nationwide across these locations: Boston, Newark, Philadelphia, Raleigh, Jackson, Atlanta, Tampa, Nashville, Cleveland, Cincinnati, Louisville, Chicago, Minneapolis, Dallas, Kansas City, Denver, Pocatello, Phoenix, Portland, Seattle, Los Angeles, San Francisco/Bay Area, and Sacramento. The anticipated start date is mid-March. Travel: Role requires 50–75% travel to operational sites and must be able to drive to client sites within an approximate 300-mile radius of Dallas. Your Responsibilities as an Environmental Field Scientist: • Conduct scheduled and on-call environmental inspections at operational sites to evaluate:, • Hazardous waste handling, labeling, and storage, • Universal waste and e-waste management, • Stormwater and wastewater systems, • Spill prevention and control measures, • Air emissions, refrigerant management, and equipment compliance, • Solid waste management and recycling streams, • Chemical storage, • Material storage and management, • Inspect areas such as loading docks, fuel systems, waste storage areas, material handling areas, and mechanical rooms, etc. for environmental risks., • Review facility documentation including:, • Hazardous waste manifests, • Emergency response plans, • Spill logs and incident reports, • Inspection checklists, • Training records, • Environmental permits, • Environmental records, • Equipment records, • Environmental performance data, • Prepare detailed inspection reports using standardized online reporting platforms, • Propose corrective actions to address compliance gaps Education BA/BS degree in Environmental Sciences, Environmental Management, Biology, Geology, Engineering, Data Analytics, or related discipline. Experience • 0-3 years of experience conducting environmental inspections, audits, or regulatory compliance assessments., • Knowledge of key environmental regulations (RCRA, EPCRA, Clean Water Act, Clean Air Act, DOT hazardous materials)., • Ability to interpret environmental records, manifests, and regulatory documentation., • Proficient in Microsoft Office, audit tools, and reporting platforms., • Strong analytical and problem-solving abilities., • Excellent written and verbal communication skills., • Comfortable working independently in field settings., • This position is based in Dallas and requires frequent travel within a 300‑mile radius. Candidates must be able to reliably travel throughout this region., • Valid driver's license with clean driving record., • This position requires successful completion of medical screening and pre-employment drug testing., • Medical, dental and vision plan options., • Company-paid life, short, and long-term disability insurance., • 401k plan., • Paid time-off and holidays., • Cross-training and the ability to work on a variety of projects., • Other perks and incentives., • Working with the best and brightest in the industry., • 2,000+ employee national firm with 70+ locations across the US. #LI-MW1 Apex Job Title: Scientist 1 Req ID: 11113 Annual Expected Pay Range$45,000—$55,000 USD We believe in equality for all and celebrate the diversity and differences of our employees, customers, and communities. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Apex aims to make apexcos.com accessible to all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, please contact or (301) 417-0200. Likewise, feel free to reach out to us if you would like to view or discuss Apex policy related to equal employment opportunity or have any related concerns. EO/AA/VEV/Disabled Employer TO ALL RECRUITMENT AGENCIES: Apex Companies does not accept unsolicited agency resumes. Please do not forward resumes for any of our job postings to our career's sites, or to any employees of Apex Companies or affiliates. Apex Companies is not responsible for any fees related to unsolicited resumes.

Job Description 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. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. We are seeking an experienced Senior Data Scientist with 6-10 years of expertise to join our team. You will leverage advanced data science techniques, generative AI concepts, and NLP expertise to solve complex business problems and drive measurable impact aligned with our leadership's vision. Key Responsibilities • Design and implement data science solutions to address business challenges using advanced problem-solving methodologies and statistical techniques., • Develop, train, and deploy machine learning models with a focus on generative AI and large language models (LLMs), • Work with text and transcription data to build NLP-based solutions that enhance product capabilities and user experience., • Partner with cross-functional teams including engineering, product, and business stakeholders to identify process and workflow gaps, analyze root causes using data science techniques, and architect scalable solutions that drive operational efficiency and business value., • Stay at the forefront of AI/NLP advancements and evaluate new algorithms for potential business applications, • 6-10 years of professional experience as a Data Scientist or in a closely related role, • Strong Problem-Solving Skills: Demonstrated ability to approach complex business and technical challenges using data science methodologies and statistical techniques, • Proficiency in Python and SQL: Hands-on experience in writing production-grade code, data manipulation, and querying large databases, • Expertise in NLP: Proven experience working with text and transcription data, including preprocessing, feature engineering, and model development, • Generative AI Knowledge: Solid understanding of latest-generation AI concepts including LLMs, prompt engineering, retrieval-augmented generation (RAG), and other contemporary generative AI applications, • Curiosity and Continuous Learning: Passionate about staying current with emerging trends, research papers, and advancements in NLP and AI, • Strategic Alignment: Ability to understand organizational vision and strategy, translating it into data-driven initiatives that create positive business impact This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Job DescriptionWe're Topaz Labs, an AI tech company that builds software to solve imaging problems like denoising, super-resolution, and deconvolution with deep learning. Over 1M photographers and designers trust us with their work, including on teams at Google, Nvidia, NASA, and more. We've processed over 1 billion images, achieved 1000% revenue growth in the last 4 years, and we're only getting started. We’re looking for a Research Scientist to help us push the state-of-the-art in image and video enhancement. Your primary responsibility will be to explore and develop new deep learning models to solve inverse problems in imaging. You'll also evaluate customer feedback and image data to gauge performance and refine your models based on real-world usage.About us • Rocketship growth and opportunity for impact ($3M → $30M revenue in four years), • Over 1 million customers (including companies like Apple, NASA, Netflix) have used us for over 1 billion photos. Our tech has been covered by Fast Company, The Verge, Engadget, Mashable, BBC, and more, • World-class team that executes quickly, obsesses about the customer experience, and promotes from within, • Profitable company with infinite runwayAbout you, • PhD or equivalent industry experience, • Prior key contributor to significant deep learning projects for image enhancement or image processing, • Significant prior experience with CNNs, GANs, Diffusion, and other common computer vision network architectures, • 2 years of hands-on experience with TensorFlow or PyTorch, • Good understanding of common image processing algorithms, • Working knowledge of C/C++

Job Description Note: Only on W2 Must be local to either Cary, NC or Irving, TX Client: Caterpillar Education: • Bachelors or Masters are required Qualifications: • 5+ years of experience are required Top Skills: • Proficiency in Python, SQL, and data science libraries (Pandas, Scikit-learn, TensorFlow), • Strong foundation in statistics, probability, and machine learning, • Familiarity with cloud platforms (Azure, AWS, Snowflake) and data modeling, • Excellent communication skills to explain technical concepts to non-technical stakeholders Job Duties: • A Data Scientist is responsible for analyzing large volumes of structured and unstructured data to extract actionable insights, build predictive models, and support data-driven decision-making., • This role blends statistical expertise, programming skills, and business acumen to solve complex problems and drive innovation., • Data Collection & Preparation: Gather, clean, and validate data from various sources to ensure quality and usability, • Exploratory Data Analysis: Identify trends, anomalies, and patterns in large datasets, • Model Development: Design and implement machine learning models (e.g., regression, classification, clustering, NLP) to support forecasting and decision-making, • Data Visualization: Create dashboards and reports using tools like Power BI, etc., to communicate findings, • Automation & Optimization: Develop scripts and tools to automate data processing and model deployment, • Collaboration: Work cross-functionally with product, engineering, and business teams to align data initiatives with strategic goals, • Research & Innovation: Stay current with emerging technologies and methodologies in data science and apply them to business challenges

Job Description Job Title: Junior Data Scientist Visa: Independent Visa candidates only Hybrid Required Qualifications • Bachelor’s degree in Data Science, Computer Science, Statistics, or related field., • 2–3 years of experience in data analysis, machine learning, or similar roles., • Proficiency in Python or R, and SQL., • Basic knowledge of machine learning techniques and statistics., • Familiarity with data visualization tools (e.g., Tableau, Power BI, matplotlib). Preferred Skills • Experience with Git and cloud platforms (AWS, Azure, or GCP)., • Internship or project experience in analytics or machine learning. Soft Skills • Strong problem-solving abilities and attention to detail., • Good communication and teamwork skills.Company DescriptionMagnus Technology Solutions provide quick orientation / training for professionals & placement for candidates having work authorization in USA. We work on #Selenium, #QA_Testing, #QA_Automation, #Manual_Testing #Dotnet, #java, #j2ee, #java_UI, #Angular, #React, #Python, #DevOps, #Salesforce, #Hadoop, #IOS, #Android, #RPA, #Mulesoft and any #Developer related #Technologies.Magnus Technology Solutions provide quick orientation / training for professionals & placement for candidates having work authorization in USA. We work on #Selenium, #QA_Testing, #QA_Automation, #Manual_Testing #Dotnet, #java, #j2ee, #java_UI, #Angular, #React, #Python, #DevOps, #Salesforce, #Hadoop, #IOS, #Android, #RPA, #Mulesoft and any #Developer related #Technologies.

Job DescriptionWaabi, founded by AI pioneer and visionary Raquel Urtasun, is an AI company building the next generation of self-driving technology. With a world class team and an innovative approach that unleashes the power of AI to “drive” safely in the real world, Waabi is bringing the promise of self-driving closer to commercialization than ever before. Waabi is backed by best-in-class investors across the technology, logistics and the Canadian innovation ecosystem. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: The Motion Planning team delivers the core module within the autonomy stack that makes decisions and generates trajectories for our self-driving trucks. As a research scientist working on Learnable Planner, you will invent new AI technologies that support scalable planning solutions enabling our launch of fully driverless autonomous trucks. You will contribute towards Waabi's vision of a single AI system that learns end-to-end and in a provably safe manner as well as our revolutionary high-fidelity, closed-loop simulator, Waabi World. You will...- Design and execute on a research agenda for deep-learning based motion planning for self-driving.- Leverage and advance the state-of-the-art in robotics and machine learning to enable safe self-driving at scale, with advanced techniques in imitation and reinforcement learning, planning and search, perception and prediction, simulation, foundation models and more.- Support deploying solutions to our production systems, collaborating closely with platform teams to ensure seamless integration of research findings into production systems.- Stay up-to-date and advance beyond the state-of-the-art in artificial intelligence, machine learning, computer vision, and self-driving technologies.- Champion engineering excellence, ensuring high-quality, well structured and tested code.- Submit and publish work externally at top machine learning, computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.) and post to our company blog. Qualifications:- MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor’s students will also be considered.- Experience in planning/decision making approaches (e.g., imitation learning, reinforcement learning, optimal control, optimization based approaches, search methods, probabilistic decision making).- Demonstrated research experience through previous internships, work experience, research projects, and papers at top conferences.- Strong quantitative background and coursework in or working knowledge of linear algebra, calculus, and probability.- Proficient in reading and coding in Python.- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions. Bonus/nice to have:- Previous experience in self-driving technology. - Experience deploying ML/DL models to a production motion planning or related robotics stack.- Proficiency in Pytorch, Rust, C++ and/or CUDA.The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Hi, we're Oscar. We're hiring a Senior Data Scientist to join our Data team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role: The Senior Data Scientist, Advanced Risk Modeling, is a senior individual contributor role focused on utilizing advanced machine learning (ML) and artificial intelligence (AI) methodologies on modern ML platforms. This role will build and deploy sophisticated models to help solve complex business problems specifically within Oscar's risk adjustment domain. You will report into the Director of Data. Work Location: This is a remote position, open to candidates who reside in: Dallas / Fort Worth, TX. You will be fully remote; however, our approach to work may adapt over time. Future models could potentially involve a hybrid presence at the hub office associated with your metro area. #LI-Remote Pay Transparency: The base pay for this role is: $158,400- $207,900 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities: * Conduct in-depth data analysis and advanced feature engineering using large, complex healthcare datasets to create robust predictors. * Design, develop, and validate advanced ML/AI models (e.g., regression/classification, deep learning, NLP, gradient boosting, LLM experimentations) to solve complex clinical and business problems within the risk adjustment domain. * Leverage modern ML Ops platforms (e.g., Vertex AI) and data science best practices to efficiently train, test, deploy, and maintain production-level models. * Build and maintain the supporting data systems, analytics, and monitoring infrastructure required for complex, production-level AI/ML systems. * Research, develop, and evaluate new AI applications using cutting-edge techniques, including LLM models and agentic frameworks, to solve critical business challenges in risk adjustment. * Work closely with business stakeholders, engineering teams, and product managers to gain a deep understanding of business operations and technical systems. * Build strong partnerships to foster close, effective integrations between data science, engineering, product, and business units. * Partner with leaders to identify high-impact opportunities, translate complex business challenges into data science solutions, and ensure successful model implementation within business workflows. Requirements: * 4+ years of industry or other quantitative technical fields (which may include academia). * 3+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data * 3+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing Bonus points: * Advanced degree in a quantitative or technical field * Experience in the healthcare, finance and/or insurance industries This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team () to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

Job DescriptionBenefits: • HYBRID, • Competitive salary, • Opportunity for advancement Work Arrangement • Hybrid work model: primarily remote within the DallasFort Worth area., • Occasional on-site presence required for meetings, training, or business needs., • Limited business travel may be required. Roles & Responsibilities . 6+ years of experience in Machine Learning and Data Science. Strong understanding of Generative AI, Retrieval Augmented Generation, Agentic Workflow, Statistical methods, data structures, and algorithms. Strong programming skills in Python; experience with Machine Learning libraries and Generative AI frameworks (e.g., Pandas, NumPy, Matplotlib, Seaborn, TensorFlow, PyTorch, scikit-learn, LangChain) and LLMs. Experience developing and deploying AI solutions on cloud platforms (e.g., AWS, Azure, or GCP). Experience in building Asynchronous Python APIs. Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for deploying AI solutions. Proven experience in developing and deploying machine learning models in a production environment. Experience working with large datasets and performing data analysis Required Qualifications Education • Bachelor's degree in Mathematics, Computer/Data Science, Information Technology, or a related field, or equivalent experience. Experience • Advanced experience in data science, machine learning, AI, or optimization projects., • Proficiency in Python and SQL., • Strong understanding of statistical methods, experimental design, and model validation., • Experience with data pipelines and relevant programming libraries (e.g., Pandas, NumPy, Scikit-learn, XGBoost, TensorFlow, Pyspark)., • Familiarity with data visualization tools (e.g., Tableau, Plotly, Streamlit). Preferred Experience • Experience with AWS cloud services (e.g., SageMaker, Lambda, Glue, EMR)., • Exposure to specialized analytics areas such as simulation, graph analytics, or video analytics. Skills & Abilities • Ability to independently manage and deliver on complex projects., • Strong problem-solving and critical thinking skills., • Effective communication skills for both technical and executive audiences., • Ability to adapt quickly to changing priorities and new technologies., • Strong interpersonal and collaboration skills. .....

Job Description Mastech Digital provides digital and mainstream technology staff as well as Digital Transformation Services for all American Corporations. We are currently seeking a Data Scientist for our client in the Retail domain. We value our professionals, providing comprehensive benefits and the opportunity for growth. This is a Contract position, and the client is looking for someone to start immediately. Duration: 12+ Months Contract Location: Irving, TX Salary: $65.00-$70.00/Hourly Role: Data Scientist Primary Skills: SQL Role Description: The Data Scientist must have 2+ years of experience. For this role, you must be a mid-level Data Scientist to help drive personalized customer experiences through customer segmentation and online experimentation. In this role, you will build and deploy machine learning models, design and analyze A/B tests, and translate business objectives into data-driven insights that directly influence marketing and product decisions. This role is ideal for someone who enjoys combining statistical rigor, applied machine learning, and business impact in a fast-paced, collaborative environment. Responsibilities: • Research, prototype, and develop AI/ML solutions for customer segmentation and personalization., • Design, execute, and analyze online controlled experiments (A/B tests, multivariate tests) to validate hypotheses and measure business impact., • Build, deploy, monitor, and analyze machine learning models in production environments., • Apply statistical experimentation techniques when launching and iterating on AI-driven products., • Partner closely with data, product, marketing, and engineering teams to align solutions with business goals., • Translate complex analytical findings into clear, actionable insights for non-technical stakeholders., • Stay current with emerging tools, frameworks, and best practices in data science and experimentation., • Deliver high-quality work on time with a strong focus on research rigor, innovation, and engineering excellence., • Demonstrate measurable impact through data science applied to marketing and personalization use cases. Basic Qualifications: • 2+ years of experience in statistical data science, feature engineering, and customer segmentation., • 2+ years of hands-on experience with Python, SQL, and PySpark., • 2+ years of experience training, evaluating, and deploying machine learning models., • 2+ years of experience productionizing ML workloads in AWS or Azure., • Familiarity with containerized deployments using Docker and/or Kubernetes., • Bachelor’s degree or higher in Computer Science, Engineering, Mathematics, or equivalent practical experience. Preferred Qualifications: • Experience working with the Databricks platform., • Experience building ML models using large-scale structured and unstructured data., • Exposure to company ecosystems, such as: Customer Data Platforms (CDPs); Data Management Platforms (DMPs); Email Service Providers (ESPs), • Experience integrating data science solutions into marketing and personalization workflows. Education: Bachelor’s Degree or higher in Computer Science/Engineering/Math, or relevant experience. Experience: Minimum 2+ years of experience Relocation: This position will not cover relocation expenses Travel: No Local Preferred: Yes Note: Must be able to work on a W2 basis (No C2C) Recruiter Name: Aman Agarwal Recruiter Phone: 1 361.356.1669 Benefits: We have various coverages and additional benefits to choose from: • Medical, Dental (Including Ortho) & Vision Insurance (Option to Enroll)., • Paid Leaves (Wherever applicable)., • Life & Disability Coverage (Upon eligibility)., • 401K Option, Education Assistance Program and more. Mastech Digital is an Equal Opportunity Employer - All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

Job DescriptionWaabi, founded by AI pioneer and visionary Raquel Urtasun, is an AI company building the next generation of self-driving technology. With a world class team and an innovative approach that unleashes the power of AI to “drive” safely in the real world, Waabi is bringing the promise of self-driving closer to commercialization than ever before. Waabi is backed by best-in-class investors across the technology, logistics and the Canadian innovation ecosystem. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: Join us to build the next frontier of applying generative AI in the physical world! As a research scientist, you will invent new AI technologies that enable our launch of fully driverless autonomous trucks. You will contribute towards Waabi's vision of a single AI system that learns end-to-end and in a provably safe manner as well as our revolutionary high-fidelity, closed-loop simulator, Waabi World. Both senior and junior scientists are welcome to apply. You will...- Lead and contribute to AI research projects, pushing the frontiers of the field by developing new algorithms for our autonomy system and state-of-the-art simulator. - Work on a diverse set of problems related to self-driving, such as perception, motion forecasting, controls, sensor simulation, scenario generation, behavior modeling, mapping, localization, intelligent data mining & analysis, and safe deployment. - Develop innovative solutions to problems by leveraging the latest advances in AI, including transformers, foundational models, LLMs/VLMs, generative modeling, imitation/reinforcement learning, inverse rendering, etc. - Support deploying solutions to our production systems, collaborating closely with platform teams to ensure seamless integration of research findings into production systems. - Stay up-to-date and advance beyond the state-of-the-art in artificial intelligence, machine learning, computer vision, and self-driving technologies.- Champion engineering excellence, ensuring high-quality, well structured and tested code.- Submit and publish work externally at top machine learning, computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.) and post to our company blog. Qualifications:- Masters/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor’s students will also be considered.- Demonstrated research experience through previous internships, work experience, research projects, and papers at top conferences.- Strong quantitative background and coursework in or working knowledge of linear algebra, calculus, and probability.- Proficient in reading and coding in Python.- Open-minded and collaborative team player with willingness to help others.- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions. Bonus Points:- Previous experience in self-driving technology. - Experience in shipping machine learning features/models into production.- Proven track record of mentoring junior researchers or engineers.- Proficiency in Pytorch, Rust, C++ and/or CUDA.The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Do you speak fluent CPT with a side of sass? Can you handle prickly provider chats with poise, streamline processes, and make overpayment trends tremble? Then you, my friend, are exactly who we need. Here's the vibe: We're not your average coding operations. We're the ones in the trenches, turning chaos into clarity, and making results art form. You'll be the spark behind smarter recoveries, cleaner audits, better support, and conversations that get results. What you'll need: • Resilience and clarity when the provider gets spicy, • Intuition for what's missing-or what shouldn't be there, • Pattern-spotting skills that'd make a data scientist jealous, • Confidence that comes with knowing your business operations, consistent follow through and execution of priorities, • Room to shine and show your strategic flair, • Share your insights with the team to move us forward, • Challenges that keep you sharp and impact that feels real, • Opportunity to create workflows, processes, support, and trend management 100% Onsite in Farmers Branch, TX. Certified Coder designation, associate's degree, medical coding, collections, and auditing experience required; bachelor's degree preferred Next steps? Apply, talk, and be ready to be amazed!

Job DescriptionBenefits: • Competitive salary, • Flexible schedule Roles & Responsibilities : • Design, build, fine-tune, and deploy LLMs, transformer-based NLP models, and GenAI solutions for both batch and real-time/streaming contexts., • Own all major components of ML pipelines: data ingestion, cleaning, pre-processing (structured & unstructured), embedding, search & retrieval, prompt engineering, RAG (Retrieval-Augmented Generation)., • Collaborate closely with ML Engineers, MLOps, software engineering, product, compliance, legal etc., to move models from prototype to productionensuring reliability, scalability, monitoring, and maintainability., • Define and implement evaluation frameworks: accuracy, bias, fairness, hallucination, consistency, latency; run UAT, stress-tests, drift detection., • Optimize models and pipelines for performance, cost, and efficiency., • Ensure best practices in model development: version control, repeatability, documentation, governance, and ethical AI use., • Mentor more junior data scientists; help build team skills in NLP, GenAI practices, prompt engineering, fine-tuning., • Identify new use cases; prototype innovations in GenAI/NLP; keep up with latest research and open source developments, decide what to adopt. Must-Have Qualifications: • 10+ years of experience in data science / ML, with substantial work in NLP, LLMs, or Generative AI., • Deep hands-on experience in Python, using frameworks like PyTorch, TensorFlow, HuggingFace etc., • Proven track record building transformer/NLP / LLM models; experience with fine-tuning, prompt engineering., • Solid experience with information retrieval / search: keyword + semantic search, embeddings, vector databases., • Experience working in production / deploying models (batch and streaming), working with MLOps practices., • Strong algorithmic / statistical / mathematical fundamentals. Ability to reason about model behaviour, bias, uncertainty., • Good communicator: able to translate complex technical detail to business / non-technical stakeholders. Nice to Have: • Master's in Computer Science, Computational Linguistics, Statistics, Machine Learning or related field., • Experience with multimodal models (vision + text) or emerging LLMs and agent-based systems., • Experience with open source LLMs & toolkits; familiarity with LangChain or similar frameworks., • Prior experience in regulated environments (finance, risk, legal, compliance) with strong governance, privacy requirements. Work remote temporarily due to COVID-19.

Job Description Union Technologies is reindustrializing America’s defense manufacturing base with a first-of-its-kind Factories-as-a-Stockpile™ model, integrating advanced robotics, manufacturing, and software into sovereign factory systems at scale. Headquartered in Dallas, Texas, UNION is dedicated to restoring America’s industrial strength and guaranteeing deterrence for the century ahead. We recently emerged from stealth with $50M in funding led by top-tier venture investors and strategic partners. Read more in our Press Release Job Summary: We need you to help unlock the power of data in defense manufacturing - building AI-driven insights that predict perfection and prevent failures in high-stakes production. Have you developed machine learning models in manufacturing or aerospace settings? Do you thrive on dissecting massive datasets to forecast issues and boost quality? Have you turned statistical analyses into real-world process wins using tools like Python and Power BI? Do you want to be part of a culture that demands data-backed excellence, where every insight fortifies national security and operational efficiency? We need a seasoned Senior Data Scientist to develop advanced analytics and machine learning models for optimizing manufacturing processes and product quality in defense-grade steel forgings. With 5–7 years of experience in data science or advanced analytics within manufacturing, aerospace, or defense, plus expertise in Python, R, SQL, Minitab, R-Shiny, Power BI, machine learning, predictive modeling, SPC, CpK/PpK analysis, and root cause tools like 8D and 5-Why. Come work in our cutting-edge facility and help us integrate data-driven strategies with Lean and Six Sigma principles to foster a collaborative, innovative environment that automates excellence and mentors the next generation of analysts. Key Responsibilities: • Develop advanced analytics and machine learning models to optimize manufacturing processes and improve product quality for defense-grade steel forgings., • Analyze large-scale production and quality datasets to identify trends, predict failures, and drive process improvements., • Apply statistical methods (CpK/PpK, SPC) and predictive modeling to ensure process capability and stability., • Build dashboards and visualization tools using Python, R-Shiny, and Power BI for real-time process monitoring., • Collaborate with process engineers to integrate data-driven insights into shop-floor operations., • Implement root cause analysis using data (8D, 5-Why) and support continuous improvement initiatives., • Drive automation of data collection and reporting systems to reduce manual effort and improve accuracy., • Serve as a technical mentor for junior data analysts and engineers on statistical and machine learning techniques. Required Qualifications: * Education: Bachelor’s or Master’s in Data Science, Statistics, Computer Science, Industrial Engineering, or related field. * Experience: 5–7 years in data science or advanced analytics within manufacturing, aerospace, or defense; experience with process optimization preferred. Technical Skills: * Programming: Python, R, SQL * Tools: Minitab, R-Shiny, Power BI, Excel * Methods: Machine Learning, Predictive Modeling, SPC, CpK/PpK analysis Work Style: Analytical thinker; hands-on problem solver; thrives in high-pressure environments. Soft Skills: Strong communicator; collaborative; able to translate complex data insights into actionable recommendations. Preferred Qualifications: * Familiarity with defense standards (MIL-STD, ITAR). * Experience with manufacturing data systems (MES, ERP) and IoT sensor data. * Knowledge of Six Sigma and Lean principles. * Exposure to cloud platforms (AWS, Azure) for data pipelines and model deployment. Join the mission. We'll handle the move. Exceptional talent shouldn't be bound by geography. If you're ready to relocate to Dallas, TX and join us in reindustrializing America’s defense backbone, we'll make it easy—and for those who move quickly, additional incentives may be available. Compensation Range: $110K - $190K

Job Description We are looking for a Data Scientist for one of our leading engineering clients in Irving, TX or Cary, NC. APPLY NOW! Title: Data Scientist 3 Location: Irving, TX or Cary, NC-100% onsite- Cary, NC preferred Hours: M-F regular 40 hour work week Type: Contract Pay: range $39-42.77/hour on w2 Length: 12 months- possibility to extend Screenings: no tech, full panel drug and background once hired IV process: 2 onsite IV's +optional benefits, long term contract with ability to extend or convert to full time ⭐ Must haves: • Years of experience: 5+ years (regardless of level of degree) - will accept internships as job experience, • Degree requirement: Bachelors and/or Masters are required, • Proficiency in Python, SQL, and data science libraries (e.g., Pandas, Scikit-learn, TensorFlow), • Strong foundation in statistics, probability, and machine learning, • Familiarity with cloud platforms (e.g., Azure, AWS, Snowflake) and data modeling, • experience working in at an enterprise level, • Excellent communication skills to explain technical concepts to non-technical stakeholders Job Description A Data Scientist is responsible for analyzing large volumes of structured and unstructured data to extract actionable insights, build predictive models, and support data-driven decision-making. This role blends statistical expertise, programming skills, and business acumen to solve complex problems and drive innovation. Position’s Contributions to Work Group: • A Data Scientist is responsible for analyzing large volumes of structured and unstructured data to extract actionable insights, build predictive models, and support data-driven decision-making., • This role blends statistical expertise, programming skills, and business acumen to solve complex problems and drive innovation. Why (client name removed)? “Whether it be ground-breaking products, best in class solutions or a lifelong career, you can build what matters to you at (client name removed). With 150 locations in countries around the world, what you create at (client name removedtravels and helps people around the world. You can collaborate with the best minds in the industry, complete meaningful work and continuously grow and develop through our various opportunities. Here, you can do the work that matters.” Typical Day or Week in the Role • Typical task breakdown and rhythm, • Interaction level with team, • Team Structure, • Work environment description Typical task breakdown: • Data Collection & Preparation: Gather, clean, and validate data from various sources to ensure quality and usability, • Exploratory Data Analysis: Identify trends, anomalies, and patterns in large datasets, • Model Development: Design and implement machine learning models (e.g., regression, classification, clustering, NLP) to support forecasting and decision-making, • Data Visualization: Create dashboards and reports using tools like Power BI, etc., to communicate findings, • Automation & Optimization: Develop scripts and tools to automate data processing and model deployment, • Collaboration: Work cross-functionally with product, engineering, and business teams to align data initiatives with strategic goals, • Research & Innovation: Stay current with emerging technologies and methodologies in data science and apply them to business challenges Interaction with team: • Primarily working with 10+ folks, working with business ( technical team and partners ) Work environment: (Required) • Excellent communication, • Choppy tenure, • Any project done outside of work (Data Science work) is also welcome., • If candidate isn’t local at this time, we are not interested in in reviewing those resumes at this time.Company DescriptionWorking with brand new state of the art security technologies and methodologies, remote work full time, great benefits, 401K.Working with brand new state of the art security technologies and methodologies, remote work full time, great benefits, 401K.

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 114,000 colleagues serve people in more than 160 countries. Working at Abbott At Abbott, you can do work that matters, grow, and learn, care for yourself and your family, be your true self, and live a full life. You’ll also have access to: • Career development with an international company where you can grow the career you dream of., • Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year., • An excellent retirement savings plan with a high employer contribution., • Tuition reimbursement, the ___ student debt program, and ___ education benefit - an affordable and convenient path to getting a bachelor’s degree., • A company recognized as a great place to work in dozens of countries worldwide and named one of the most admired companies in the world by Fortune., • A company that is recognized as one of the best big companies to work for as well as the best place to work for diversity, working mothers, female executives, and scientists. The Opportunity Our Point of Care diagnostic portfolio spans key health and therapeutic areas, including infectious disease, cardiometabolic, informatics, and toxicology. We are seeking a Business Development Representative, Informatics based in Texas. This role focuses on point-of-care software sales and requires a proven ability to drive significant growth by closing new business and expanding existing accounts. The position is responsible for full-cycle sales of the RALS product across all segments, including hospitals, POLs, clinics, urgent care centers, and retail pharmacies for Rapid Diagnostics Informatics (RMDx). The ideal candidate will work with multiple stakeholders, including C-suite executives, to accelerate complex decisions into quick wins. This is a self-starter role that involves developing new customer relationships, implementing best practices, uncovering insights to drive business performance, and consistently delivering results that exceed expectations. Responsibilities • Builds and understands their assigned territory’s total available market, prospects high potential accounts, identifies pipeline opportunities, moves opportunities through the funnel to win new business, • Responsible for driving profitable revenue and closing opportunities within territory by initiating, developing and/or delivering unique solutions that result in improved customer outcomes and benefits Abbott, ensures all commitments are met., • Investigates and understands assigned strategic accounts and their business environment including goals, objectives, strategies and competitive situation., • Identifies industry trends and changing market regulations and understands impact on strategic accounts., • Maintains a detailed understanding of customer decision makers and influencers, builds and preserves customer relationships to leverage in driving new sales and expanding existing business in the hospital space into decentralized locations in collaboration with the Centralized Informatics Account Manager., • Proactively identifies opportunities or acts upon previously identified opportunities to prepare and deliver account-specific Abbott value proposition resulting in positive action., • Acts as an internal advocate for the customer, cultivates Abbott internal relationships and leverages to drive business objectives., • Demonstrates commitment to the development, implementation and effectiveness of ARDx Informatics’ Quality Management System per ISO, FDA and other regulatory agencies., • Identifies and facilitates cross-sell and up-sell opportunities, • Maintain a superior level of knowledge of the applications related to Company products and of the business needs of multi-hospital organizations to assure effective representation in the marketplace. Additional Competencies • Product Expertise - Will spend the time and energy to learn and become proficient on the huge ARDx (Abbott Rapid Diagnostics) Informatics portfolio of diagnostic products., • Customer Focus – Is dedicated to meeting expectations and requirements of internal and external customers; gets first hand customer information and uses it for improvement in products and services; establishes and maintains effective relationships with customers and gains their trust and respect., • Business Acumen – Focus on the things that are important; knowledgeable in current and possible future policies, practices, trends, technology and information affecting his/her business and organization; knows the competition., • Full Stack Sales Management – Lead sales cycles form prospect through close, • Negotiating – Can negotiate skillfully in tough situations with both internal and external groups; can settle differences with minimum noise; can win concessions without damaging relationships; can both be direct and forceful as well as diplomatic; has a good sense of timing., • Courage – Willing and proactive about engaging senior officers and clinicians at IDN’s in all departments to learn, network, and close large acute and non-acute contracts for ARDx Informatics. Qualifications • Bachelor’s Degree required, preferrable in Business, Life Sciences, Engineering or related technical discipline, • Minimum 5 years of experience, preferrable with demonstrated success in informatics, data analytics, lean process improvement in the Diagnostics industry preferred, • The ideal candidate would be based in Texas or surrounding states. This is a remote based position that will have up to 25% travel., • Sales experience with proven ability to lead a sales cycle and design a winning solution, • Proven success as an expert in all aspects of value-based, solution selling and ability to work in cross-functional teams to meet clearly defined objectives that benefit the company and customer., • Background as a Medical Technologist, Medical Laboratory Scientist, Laboratory Supervisor is a plus., • Strong business planning process and attention to detail, strong Microsoft Office and CRM skills, • Proven sales support experience in large IDNs, • Managing client expectations, multi-disciplinary team, and meeting scope/schedule/budget, • Ability to develop and champion new ideas and approaches Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives: ___ Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity. Connect with us at ___, on LinkedIn at ___, and on Facebook at ___. The base pay for this position is $86,700.00 – $173,300.00. In specific locations, the pay range may vary from the range posted.

At Dieste, we spark growth by connecting brands and cultures. We're looking for a rare combination: a data scientist who thinks like a strategist and a strategist who speaks fluent data. Someone who loves solving problems and quantifying complex situations—but understanding that behind every data point is a human truth waiting to be uncovered. This isn't a role about building models in isolation—it's about transforming how a business understands culture and makes decisions that resonate with people. You'll be equal parts analyst, advisor, and architect of our strategic direction, working at the intersection of rigorous data analytics and profound cultural insight. If you thrive at the intersection of data and culture and successfully use analytics to shape how organizations understand and connect with their audiences, we'd love to hear from you. Key Responsibilities: • Strategic Data Analysis and Reporting:, • Build analytical frameworks that help brands see the full picture and move beyond fleeting moments to build lasting loyalty and relevance, • Translate scattered data into culturally rich stories that drive strategic decisions and business results, • Business Strategy & Cultural Intelligence:, • Translate complex analytical concepts into actionable, executive-level recommendations, • Help brands anticipate cultural shifts through data-driven methods and identify opportunities others miss, • Build conviction around data-driven recommendations grounded in cultural understanding and defend your methodology when challenged, • Quantitative Modeling & Analytics:, • Apply advanced statistical methods, predictive modeling, and optimization techniques to uncover cultural insights and behavior patterns., • Wrangle messy data and build robust analyses that withstand scrutiny and reveal what others can't see, • Present complex data and insights in a clear, concise, and visually appealing manner to non-technical stakeholders., • Cross-Functional Collaboration & Storytelling:, • Translate complex analytical concepts into language that resonates with both technical and non-technical audiences, • Help the organization see opportunities at the intersection of cultural nuance and business strategy. What We’re Looking For: • Strategic Mindset:, • You naturally think several moves ahead and understand business models, competitive dynamics, and growth levers, • You're curious about human behavior, culture, and what connects people and brands, • Technical Depth:, • You're genuinely strong in quantitative methods—statistics, correlation analysis, regression analysis, predictive modeling, optimization, and experimental design, • You’re comfortable with Python, R, and SQL, • You can work with diverse data streams and unify them to reveal deeper insights, • Translation Layer:, • You can explain complex analytical concepts to non-technical stakeholders without dumbing them down, • You know how to defend your methodology, making the quantitative accessible, actionable, and culturally resonant, • Business & Cultural Acumen:, • You understand business, marketing and advertising metrics, • You're genuinely interested in culture, human behavior, and what shapes people's identity and decisions Qualifications: • Education and Experience:, • Bachelor’s degree in Statistics, Data Science, Data Analytics, or related fields., • 7+ years of experience in marketing analytics or data-driven roles., • Technical Skills:, • Strong foundation in statistics, modeling, and quantitative analysis, • Solid familiarity with SQL, Python, or R, • Advanced Excel skills (e.g., pivot tables, VLOOKUPs, macros)., • Soft Skills:, • Strong analytical and problem-solving skills., • Excellent communication and storytelling abilities with data., • Ability to manage multiple projects and meet tight deadlines., • Language Requirements:, • Ability to present findings in English to English-speaking only audiences., • Understanding of and proficiency in Spanish is a plus but not required., • Preferred:, • Experience working in advertising agency or consumer-focused industry, • Experience in US Multicultural Marketing., • Master’s Degree in Statistics, Data Science or related field is preferred but not required.

Job Summary: Our client is seeking a Data Scientist to join their team! This position is located in Irving, Texas. Duties: • Build and deploy AI/ML solutions that improve customer experience, enable innovative user experiences, and increase revenue, • Research, prototype, and develop AI solutions to build personalized systems, • Build, deploy and analyze AI solutions and perform statistical experiments when deploying new AI products, • Stay up to date with emerging technology and learn new technologies/libraries/frameworks, • Learn and partner with peers across multiple disciplines, such as data, product, and systems design, • Deliver on time with a high bar on quality of research, innovation and engineering Desired Skills/Experience: • Bachelor’s Degree in Computer Science/Engineering/Math, or relevant experience, • 4+ years of experience with statistical data science techniques, feature engineering, customer segmentation etc., • 4+ years of experience with SQL, PySpark and Python, • 4+ years of experience with productionizing and deploying ML workloads in AWS/Azure, • 2+ years of Azure Databricks, • Familiarity with containerized application tooling and deployments such as Docker and Kubernetes, • Experience working on customer data Benefits: • Medical, Dental, & Vision Insurance Plans, • Employee-Owned Profit Sharing (ESOP), • 401K offered The approximate pay range for this position is between $42.00 and $60.00. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums. At KellyMitchell, our culture is world class. We’re movers and shakers! We don’t mind a bit of friendly competition, and we reward hard work with unlimited potential for growth. This is an exciting opportunity to join a company known for innovative solutions and unsurpassed customer service. We're passionate about helping companies solve their biggest IT staffing & project solutions challenges. As an employee-owned, women-led organization serving Fortune 500 companies nationwide, we deliver expert service at a moment's notice. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from KellyMitchell and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at

Currently seeking a Senior Data Scientist to join our team and play a key role in designing, building, and deploying advanced analytical and AI-driven solutions. We are a healthcare-focused investment firm leveraging data, advanced analytics, and technology to drive smarter investment decisions and

Proficient in Python and its data science ecosystem; experienced in building solutions on data platforms like Databricks or Microsoft Fabric and search technologies like Azure AI Search. Provide technical leadership and mentorship to junior data scientists; guide hands-on work in context engineering

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. Managing teams to process unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of

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Technical Writing: Interpret technical data to draft and renew SWPPP and SPCC plans using w Environmental, Scientist, Technology, Staffing, Skills.

OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e. OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer

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Ensure the reliability, availability, and scalability of data pipelines and systemsthrough effective monitoring, alerting, and incident management. Partner with architects and stakeholders to influence and implement the vision of the AI and data pipelines while safeguarding the integrity and scalabi

Our client is seeking a Data Scientist to join their team! This position is located in Irving, Texas. Learn and partner with peers across multiple disciplines, such as data, product, and systems design. Experience working on customer data.

Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts. Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models. Data Scientist Job Duties:

We are looking for a Data Scientist to help define, build, and validate metrics. Analyze large-scale datasets from real-world and simulated autonomous driving experiments. Collaborate with autonomy software, simulation, and safety teams to prioritize improvements based on data insights.

Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts. Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models. Data Scientist Job Duties:

Our client is seeking a Data Scientist to join their team! This position is located in Irving, Texas. Learn and partner with peers across multiple disciplines, such as data, product, and systems design. Experience working on customer data.

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Partnering closely with engineering and autonomy teams, they analyze both real-world and simulated driving data to enable data-driven decisions that accelerate commercialization. We’re seeking a Data Scientist to design and implement quantitative metrics that assess human behavior, safety complian

Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts. Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models. Data Scientist Job Duties:

Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts. Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models. Data Scientist Job Duties:

Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts. Data Scientist Job Duties: Formula

Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts. Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models. Data Scientist Job Duties:

Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts. Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models. Data Scientist Job Duties: