Data scientist jobs in Lewisville, TX

We are hiring awesome humans, and we hope that includes you! Are you looking for more than just a job? At Chewy, you'll find yourself on a career path with other amazing humans, like yourself. You'll be part of a culture that values everything that you do, who you are, and the goals you have set for your career. We want to give you the opportunity to grow, earn competitive pay, and be happy while you do it. Sounds simple, but we love it. Your Opportunity: We are looking for a Data Scientist within Chewy's growing Customer Care team in Richardson, TX. In this role, you will play a crucial part in empowering our Chewy Customer Care teams with cutting-edge data solutions that drive rapid innovation, informed decision-making, and outstanding customer and agent experiences. As a Data Scientist II, you will be a key contributor throughout the entire data science lifecycle, from data acquisition and preparation to model development, deployment, and communication of results. You will have the opportunity to work on diverse projects and contribute directly to the success of the company. As part of the Customer Care data science team at Chewy, you will have the opportunity to provide structure to business problems for new and existing Chewy customers by applying data science principles to build, test, implement, and develop data-based solutions, including reporting, auditing, and preparing large databases for statistical analysis. What You'll Do: Collect, prioritize, and prepare data for analysis from various sources, ensuring data quality and integrity. Conduct detailed exploratory data analysis using statistical techniques and visualizations to uncover patterns, trends, and insights. Construct new features from existing ones to improve model performance, including feature creation, transformation, and selection. Apply statistical methods (e.g., descriptive statistics, hypothesis testing) to understand data distributions, relationships, and draw meaningful conclusions. Select and build appropriate machine learning models (e.g., regression, classification, clustering) based on the problem and data characteristics. Evaluate model performance using relevant metrics (e.g., accuracy, precision, recall, F1-score), and fine-tune models to achieve efficient results. Interpret model results, identify key drivers and insights, and communicate findings optimally to both technical and non-technical stakeholders. Build compelling visualizations to present data insights and tell a clear and concise story that resonates with the audience. Work closely with cross-functional teams (e.g., product managers, engineers, business analysts) to understand business needs and translate them into data-driven solutions. What You'll Need: Bachelor's degree in Data Science, Statistics, Computer Science, or a related field. 3+ years of experience as a Data Scientist, with a consistent track record of delivering impactful results. Strong programming skills in Python or R, with proficiency in data manipulation libraries. Experience with SQL and relational databases. Proven understanding of statistical modeling and machine learning and deep learning algorithms. Excellent communication and presentation skills, with the ability to explain sophisticated technical concepts to diverse audiences. Bonus: Experience with cloud computing platforms (e.g., AWS, Azure, GCP, Snowflake). Familiarity with big data technologies (e.g., Spark, Iceberg, dbt). Familiarity with AWS cloud technologies (e.g., Glue, Sagemaker, Athena, Redshift). Experience with data visualization tools (e.g., Tableau, Streamlit, Text to SQL). Knowledge of retail and e-commerce. What You'll Get: A place where you can be your authentic self and grow your career. Our pet parents and partners are from everywhere--different places and different walks of life. It is what makes them unique. Likewise, Chewtopians are encouraged to bring their perspectives to deliver on our mission! Work in a culture that cares, with managers who value you and your career journey. Be empowered to think big, thrive on delivering results, and to become your best. Development of meaningful connections with a diverse group of Chewtopians through Team Member Resource Groups and celebrate inclusivity with various company events, programs, and activities. Comprehensive medical, dental, vision benefits, in addition to wellness programs and resources, enabling you to be your best self in and outside of work. Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact **************. To access Chewy's Customer Privacy Policy, please click here. To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.

At ServiceLink, we believe in pushing the limits of what's possible through innovation. We're looking for a high-achieving AI enthusiast to lead ground-breaking initiatives that redefine our industry. As our Principal Data Scientist, you'll harness cutting-edge technologies-from advanced machine learning and deep learning to generative AI, Large Language Models, and Agentic AI-to create production-ready systems that solve real-world challenges. This is your opportunity to shape strategy, mentor top talent, and turn ambitious ideas into transformative solutions in an environment that champions bold thinking and continuous innovation. Applicants must be currently authorized to work in the United States on a full-time basis and must not require sponsorship for employment visa status now or in the future. A DAY IN THE LIFE In this role, you will… Transform complex business challenges into innovative AI solutions that leverage deep learning, LLMs, and autonomous Agentic AI frameworks. Lead projects end-to-end-from ideation and data gathering to model design, fine-tuning, deployment, and continuous improvement using full MLOps practices. Collaborate closely with business stakeholders, Data Engineering, Product, and Infrastructure teams to ensure our AI solutions are powerful, secure, and scalable. Drive both research and production by designing experiments, publishing state-of-the-art work in high-impact journals, and protecting strategic intellectual property. Mentor and inspire our next generation of data scientists, sharing insights on emerging trends and best practices in AI. WHO YOU ARE You possess … A visionary leader with an advanced degree (Master's or Ph.D.) in Computer Science, Engineering, or a related field, backed by 10+ years of progressive experience in AI and data science. A technical powerhouse with a solid track record in statistical analysis, machine learning, deep learning, and building production-grade models using transformer architectures and Agentic AI systems. Proficient in Python-and comfortable with other modern programming environments-armed with real-world experience in cloud platforms (preferably Microsoft Azure) and end-to-end AI development (CRISP-DM and ML-Ops). An exceptional communicator who can distill complex technical ideas into strategic insights for diverse audiences, from the boardroom to the lab. A proactive problem solver and collaborative team player who thrives in a fast-paced, interdisciplinary setting, ready to balance innovative risk with practical execution. Responsibilities Strategize with leadership and stakeholders to align AI innovations with business objectives-identifying risks, seizing opportunities, and driving measurable outcomes. Architect and lead the development of next-generation AI solutions, with a special focus on Agentic AI, deep learning models, and transformer-based LLMs. Build automated MLOps pipelines to ensure continuous integration, deployment, and monitoring of models across diverse data environments. Act as both a thought leader and an active contributor-publishing in high-impact journals, representing ServiceLink at industry events, and safeguarding our IP. Collaborate cross-functionally to ensure our AI systems are secure, scalable, and cost-effective, continuously refining them based on rigorous performance metrics Mentor and empower your peers, fostering a culture of innovation, resilience, and learning. All other duties as assigned. Qualifications Advanced degree (Master's or Ph.D.) in Computer Science, Engineering, or a related quantitative discipline, backed by 10+ years of relevant industry experience. Demonstrated expertise in Python and practical experience deploying advanced ML/AI solutions-including deep learning, LLMs, and Agentic AI-in production environments. Proficiency with modern cloud platforms (preferably Microsoft Azure) and a proven record of operationalizing AI via MLOps best practices. Strong ability to balance innovation with practicality, evaluating technical capabilities versus business and cost considerations. Excellent communicator with a knack for translating intricate technical strategies into clear, actionable plans. A collaborative mindset with a history of mentoring teams and building high-impact technology solutions.

Locations: Boston | Chicago | Pittsburgh | New York | Brooklyn | Miami | Dallas | San Francisco | Seattle | Los Angeles | Manhattan Beach Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. We Are BCG X We're a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world's most complex problems. Leveraging BCG's global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions. What You'll Do Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions. Our Data Scientists are part of our rapidly growing team to apply data science methods and analytics to real-world business situations across industries to drive significant business impact. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions. Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, creative, and communicative. What You'll Bring We are looking for dedicated individuals with a passion for data science, statistics, operations research and redefining organizations into AI led innovative companies. Successful candidates possess the following: * Comfortable in a client-facing role with the ambition to lead teams * Likes to distill complex results or processes into simple, clear visualizations * Explain sophisticated data science concepts in an understandable manner * Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience) * Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data * Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients * Have strong project management skills Please note: any degree programs (including part-time) must be completed before starting at BCG. TECHNOLOGIES: Programming Languages: Python Additional info You must live within a reasonable commuting distance of your home office. As a member of that office, it is expected you will be in the office as directed. This role puts you on an accelerated path of personal and professional growth and development and so, at times, requires extended working hours. Our work often requires travel to client sites. FOR U.S. APPLICANTS: BCG is an Equal Employment Opportunity employer and is committed to a policy of administering all employment decisions and actions without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. The first-year base compensation for this role is: Data Scientist I: $110,000 USD Data Scientist II: $145,000 USD Data Scientist III: $160,000 USD At BCG, we are committed to offering a comprehensive benefit program that includes everything our employees and their families need to be well and live life to the fullest. We pay the full cost of medical, dental, and vision coverage for employees - and their eligible family members. * That's zero dollars in premiums taken from employee paychecks. All our plans provide best in class coverage: * Zero-dollar ($0) health insurance premiums for BCG employees, spouses, and children * Low $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs * Dental coverage, including up to $5,000 in orthodontia benefits * Vision insurance with coverage for both glasses and contact lenses annually * Reimbursement for gym memberships and other fitness activities * Fully vested Profit-Sharing Retirement Fund contributions made annually, whether you contribute or not, plus the option for employees to make personal contributions to a 401(k) plan * Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement * Generous paid time off including 12 holidays per year, an annual office closure between Christmas and New Years, and 15 vacation days per year (earned at 1.25 days per month) * Paid sick time on an as needed basis * Employees, spouses, and children are covered at no cost. Employees share in the cost of domestic partner coverage. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

Support data modeling process, creating algorithms and predictive models, as well as performing custom analysis Support identification of key indicators both for compliance and effectiveness critical to mission/business success Support manipulation of large data sets and using them to identify trends and reaching meaningful conclusions Support ability to clean, aggregate and organize data from multiple sources and transfer this information to data warehouses Support data requirements and ensure storage, availability and coherence of electronically stored information to guarantee it meets the organization's needs

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

Data Scientist Engineer Client: Largest Telecom client Duration: Long Term Contract Required Skills: Data Science, Machine Learning, AI, Big Data/ Hadoop, Python, Cloud- AWS/GCP. What were looking for... You are an accomplished Data Scientist, a recognized Machine Learning expert, and a thought leader in AI Technology and business innovation. You are a master at analyzing big data. Required: Formal education: Bachelors degree with six or more years of relevant work experience as a Data Scientist practicing model development for business applications; Or a Master's Degree in Computer Science, Statistics, Math, Economics, Engineering, or Data Science related fields with four or more years of relevant experience as a data scientist or machine learning engineer. Hands-on experience in building machine learning and statistical models using Python, PySpark, Machine Learning libraries, SQL. Experience in computing/programming skills; proficiency in Python, R, and Linux shell script. Experience in data management and data analysis in a relational database, Hadoop and Spark. Experience with Cloud computing platform such as GCP or AWS Strong communication and interpersonal influencing skills. Excellent problem solving and critical thinking capabilities. Desired: A Ph.D. in Computer Science, Statistics, Math, Economics, Engineering, or Data Science, with two or more years of experience in practicing machine learning and data science in business. Expertise in deep learning, NLP, reinforcement learning, recommender system, etc. Experience in leading large scale data science projects and delivering from end to end. Experience with building data pipelines, model framework and model deployment.

You could be a data scientist anywhere. Why us? Join a pre-IPO startup with capital, traction and runway ($240M funded | 60X revenue growth in 5 years | $2T market size) Partner with our VP of Data Science & Analytics, Armando La Rocca (ex-BCG, Better) Disrupt a massive market and take us to a $10B business in the next few years Be immersed in a talent-dense environment and greatly accelerate your career growth About the opportunity: Jerry is looking for a Data scientist to join our growing team! We hit a huge milestone in early 2024 by achieving profitability and have ambitious goals for the next few years - scale from 5M to 50M customers and become a $10B business. As a data scientist, you will play a key role in championing data-driven decisions across the company's most critical business initiatives (including carrier growth and development, building new products from 0-1, etc.). As part of the data science & analytics team, you will leverage advanced machine learning models to conduct in-depth analyses and extract insights that will shape our growth strategies. Jerry is building the first super app to make car ownership affordable and accessible - insurance, buy/sell, registration, loans, safety, repairs, parking, etc - a $2T market in the U.S. We started with insurance in 2019, and since then we've launched loan refinancing, driving insights, repair marketplace, car diagnostics, and a GenAI-powered chatbot & voicebot. We have amassed over 5M customers, raised $240MM in funding, scaled our revenue 60X and our team to 225 across 6 countries. Here's what an ex-BCG teammate has to say about joining Jerry: "The biggest difference between my current role at Jerry and my past life at BCG is being able to feel the direct impact my work has on the business, every day. In consulting, I rarely felt like my work was having any impact on the world, despite advising the largest global corporations. Here, I can see that my work is moving the needle on key company metrics in a matter of weeks. When I say "key," I mean it: I am not talking about secondary KPIs that no one pays attention to, but business-critical metrics that the CEO and the rest of the C-suite look at on a daily basis (think sales, retention, pricing, etc). The benefit of being a digital-first company is that we are sitting on a treasure trove of data. This means we almost never have to make a decision that's not backed by a robust, statistically significant analysis. While data science can be a support function in some other places (this was something I wanted to avoid), data scientists at Jerry are at the core of the business. I have also appreciated the professional growth opportunities. I have had flexibility to work on the skills I wanted to develop, be it technical or soft skills. I have found continuous learning to be one of my most important drivers of happiness at work. Getting the space and latitude to work on projects that I am most interested in was all the more important for this reason." How you will make an impact: Partner with marketing, product, and business development teams to integrate customer performance insights into user and partner acquisition strategies Lead the design, execution, and analysis of A/B experiments on new and existing features, extracting key insights to inform product and business strategies Define, understand, and test levers to drive profitable and scalable user acquisition and partnership growth Identify opportunities to automate manual processes and optimize operational efficiency Preferred experience: Bachelor's degree in a quantitatively or intellectually rigorous discipline 1+ years of experience from a top-tier economic consulting firm (Analysis Group, Cornerstone Research, Charles River Associates preferred) OR 1+ years of management consulting experience from a top firm (McKinsey, Bain, and Boston Consulting Group preferred) OR relevant experience in data science/business analysis High level of comfort with SQL or Python Who you are: You have a framework for problem solving and live by first principles You are comfortable communicating with audiences varying from front-line employees to the company's C-suite You set a very high bar for yourself and for your team, and you are constantly pushing that bar higher in the pursuit of excellence While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at ******************* The successful candidate's starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai: Jerry.ai is America's first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers - and we're just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that's disrupting a massive market.

The Data Scientist Consultant (DSC) actively pursues new business opportunities for consulting engagements focusing on casualty and absence management data mining and predictive modeling projects. Upon acquiring new business, the DSC owns the remaining phases of the project lifecycle: definition/planning, execution and completion. The definition/planning and execution phases focus on identifying relationships across data sources to provide insight into the individual and environmental characteristics and factors that drive behaviors and outcomes in the casualty and absence space. Methods include basic descriptive approaches including trending and visualization to advanced causal analysis rooted in statistics and data mining techniques. The DSC interprets results and presents findings to clients coupled with solutions for preventing or mitigating future exposures in conjunction with product line teams brought into the project as needed and as outlined in the project acquisition process. Skills: Significant knowledge of statistics and data mining methods such as, but not limited to, various forms of regression analysis and decision tree techniques Familiarity with visualizations tools such a Qlik or Tableau Understanding of data warehousing concepts Highly developed communication skills covering report development, presentation, and meeting management Project management Organized and collaborative Self-starter that works well alone as well as in a group Requirements Bachelor's degree in mathematics, statistics, or related field; Masters or advanced certificate in data analytics preferred. 7-10 years of experience in the data science field; 1-3 years in consulting preferred; 1-3 years in casualty or absence management industry preferred.

We are seeking a motivated Data Scientist to research, develop, and enhance machine learning and deep learning algorithms that drive innovative healthcare solutions. This role involves maintaining high data quality standards, collaborating with clinical and business partners to understand their needs, and translating advanced research into practical applications. The ideal candidate will assist in building and improving deep learning frameworks, manage projects independently, and work effectively both individually and within cross-functional teams. Staying current with emerging technologies and demonstrating strong communication, attention to detail, and persistence are essential for success in this role. Essential Duties and Responsibilities: * Research, develop, and enhance machine learning and deep learning algorithms and frameworks for computer vision applications, translating cutting-edge research into practical healthcare solutions. * Implement and optimize deployment pipelines for trained models to enable efficient, scalable, and hardware-optimized inference. * Apply model optimization techniques to reduce computational overhead while preserving accuracy. * Maintain data quality and integrity across the data lifecycle to support robust algorithm development and model training. * Collaborate with clinical partners and internal stakeholders to understand needs and deliver AI solutions that improve model performance. * Assist in writing deep learning framework templates, identifying improvement areas, and implementing new model architectures. * Manage projects independently and contribute effectively as part of a team, ensuring reproducible analyses, clear documentation, and knowledge sharing. * Stay updated with the latest data science methods, technologies, and industry trends. * Demonstrate strong communication skills, persistence, attention to detail, and a drive to complete research projects end-to-end. Qualifications: * M.S. or Ph.D. in Computer Science, Electrical Engineering, Biomedical Engineering, Statistics, Applied Mathematics or related field. Knowledge, Skills, and Abilities: * Strong foundation in state-of-the-art deep learning architectures (e.g., vision transformers) for computer vision tasks including image classification, object detection, and semantic segmentation. * Proficiency in deep learning libraries and frameworks, including PyTorch and TensorFlow. * Proficiency in C++ regarding object-oriented programming, data structure and performance optimization technique. * Solid knowledge of model optimization techniques, such as pruning, quantization, mixed-precision inference, and other performance-enhancing strategies. * Solid knowledge of model deployment tools, including ONNX, LibTorch, and TensorRT. * Strong grasp of model evaluation metrics, benchmarking, and best practices for computer vision model validation. * Self-driven with the ability to deliver on ambiguous projects with incomplete data. * Excellent written communication skills, especially in writing technical manuscripts. Bonus: * Experience and knowledge in healthcare domain with successful outcomes. * Experience with CUDA programming for developing custom GPU kernels, optimizing computational performance, and accelerating deep learning workflows. Physical Requirements: Prolonged periods of sitting at a desk and working on a computer. Travel: N/A Equal Employment Opportunity: Spectral MD, Inc. is an equal opportunity and affirmative action employer. All applicants will be considered for employment without regard to race, color, ancestry, national origin, sex, gender, sexual orientation, marital status, religion, age, disability, gender identity, results of genetic testing, protected veteran status, or any other characteristic protected by applicable federal, state or local laws.

Job Title- Lead Data Scientist Department- Elevate, Digital Marketplace Reports to- VP, Software Engineering Who We Are- Founded in 1995, Elevate Aviation Group is the parent organization uniting Elevate Jet, Private Jet Services (PJS), and Elevate MRO under one standard of aviation excellence. We operate in the space between small operators and faceless corporations - large enough to deliver global capability, yet agile enough to provide true personal service. As we enter our fourth decade, we're revolutionizing how we approach the market, combining decades of operational expertise with modern technology to deliver certainty, safety, and seamless experiences across every stage of private aviation - from charter to acquisition, management, and maintenance. Summary of position- We are seeking a highly skilled Lead Data Scientist to lead efforts in analyzing market demand and dynamic pricing across the private jet charter ecosystem. This role plays a pivotal part in shaping our pricing algorithms, demand forecasts, and sourcing strategies that directly power our charter broker platform. Essential Duties & Responsibilities- * Develop and maintain pricing models that reflect real-time supply, demand, and market conditions. * Analyze historical booking patterns, aircraft availability, and operational costs to optimize instant-book pricing logic. * Collaborate with product managers, engineers, and revenue teams to design data-driven pricing features and dashboards. * Use machine learning, statistical modeling, and predictive analytics to forecast user demand and route popularity. * Automate data collection pipelines sourcing from internal systems, aviation APIs, and third-party data providers. * Design A/B tests and performance metrics to evaluate the success of pricing and recommendation models. * Translate scientific insights into actionable strategies that improve conversion rates, margin, and user satisfaction. * Build customer segmentation models to enable personalized experiences and targeted marketing * Track and report on key performance metrics including conversion rates, average booking value, and customer lifetime value Requirements Requirements- * Master's or PhD in Data Science, Statistics, Computer Science, or related field. * 8+ years of experience in applied data science, ideally in travel, mobility, logistics, or dynamic marketplace environments. * Strong proficiency in Python, SQL, and analytical libraries (Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch). * Experience designing and deploying pricing or forecasting models in production environments. * Excellent understanding of time-series analysis, demand elasticity modeling, and revenue optimization. * Proven ability to communicate complex models in clear, business-relevant terms. * Familiarity with aviation or charter scheduling data is a strong plus. Schedule & Travel- * The typical work schedule includes five 8-hour shifts assigned to one of the established schedules within the department. Nights, weekends and/or holidays may be required to support the needs of the organization. * Ability to travel as needed up to 10% Miscellaneous- * FLSA Status- Full Time Exempt * Lifting requirements- Up to 20lbs * U.S. work authorization is a precondition of employment. Applicants must be authorized to work for ANY employer in the U.S, both now and at all future times. We are unable to sponsor or take over sponsorship of an employment Visa at this time. Elevate Aviation Group Elevate Aviation Group is a privately held aviation organization established in 1995, comprising Private Jet Services (PJS), Elevate Jet, and Elevate MRO. Together, these divisions serve every stage of private aviation, from first inquiry and flight planning to aircraft acquisition, management, and maintenance. We occupy a rare position in private aviation, combining the scale and resources of a national organization with the agility and discretion of a boutique firm. Operating at the standard of aviation excellence means holding our people to that same standard. Our teams anticipate needs, take ownership, and approach every mission with care, precision, and pride. In this world, the greatest cost is not the flight itself but the cost of not arriving when it matters most. As we enter our fourth decade, we are revolutionizing how we approach the market, building a technology-enabled system that empowers our people to focus on what they do best: anticipating problems before they occur so they never reach our clients, and providing a frictionless, calm experience from departure to destination. For nearly thirty years, we have supported some of the most defining moments in modern history-from presidential campaigns and global sporting events to world tours and humanitarian missions-all with an unwavering commitment to flawless execution. We are the architects of seamless arrival.

Navan is expanding its Fraud Risk Management organization to build world-class fraud detection, prevention, and analytics capabilities supporting our rapidly growing travel and expense businesses. We are seeking a highly skilled and visionary Staff / Senior Staff Data Scientist, Fraud, to design and scale advanced data science solutions that protect Navan's customers, platform, and financial ecosystem. This is a strategic and hands-on role, where you'll partner with other fraud strategy members, product, engineering, and data teams to design the ML features, build the rule workflow, build next-generation fraud models, develop actionable insights, and lead the application of AI/ML to mitigate emerging fraud threats both in expense card issuing and travel fraud. The ideal candidate combines deep technical expertise in machine learning and data systems with a strong understanding of payment, identity, and transactional fraud patterns. You'll report to the Head of Fraud Risk Data Science strategy and play a critical role in shaping Navan's end-to-end fraud detection infrastructure and analytical roadmap. What You'll Do: * Lead the design and deployment of advanced ML features, build rule workflows to detect and prevent fraud across travel and expense. * Lead the design and development of advanced ML and statistical models to detect, predict, and prevent fraudulent behavior across onboarding, payments, and expense workflows. * Drive applied research in anomaly detection, network/graph modeling, real-time clustering, and link analysis to identify emerging fraud patterns and organized fraud rings. * Partner cross-functionally with other Risk Strategy team members, Fraud operations, Engineering, and Product teams to translate insights into scalable prevention rules, thresholds, and model-driven interventions. * Own model lifecycle management from feature engineering and experimentation to monitoring, model retraining, and post-deployment optimization. * Perform root-cause and loss attribution analyses, identifying vulnerabilities and quantifying financial impact to inform control effectiveness and business risk appetite. * Sign up for the stretch fraud loss goals and the ability to drive the roadmap to meet the goal. * Collaborate with Data Engineering and Platform teams to define data schemas, pipelines, and infrastructure that enable real-time fraud monitoring and analytics. * Mentor junior data scientists and fraud analysts, providing technical guidance and driving excellence in experimentation, model governance, and reproducibility. * Contribute to the overall fraud strategy roadmap, helping evolve Navan's machine learning and analytics capabilities to stay ahead of emerging fraud trends. * Partner with external vendors and third-party data sources to enrich detection signals and improve model precision and recall. What We're Looking For: * 10+ years of experience in data science strategy, with a strong focus on fraud detection, risk modeling, or financial crime analytics. * Deep technical expertise in machine learning, predictive modeling, anomaly detection, and network analysis applied to fraud problems. * Proficiency in Python, SQL, and modern ML libraries. * Experience with large-scale data environments such as Snowflake, Databricks, Spark, or equivalent big data platforms. * Strong understanding of payment processing, card networks, identity verification, and behavioral fraud typologies (e.g., synthetic identities, ATO, friendly fraud, first-party fraud, third-party fraud, scams). Demonstrated success in developing and deploying ML models in production, including monitoring and score drift management. * Familiarity with fraud detection tools, rule engines, and streaming data systems is a plus. * Proven ability to communicate complex data science findings to technical and non-technical audiences, including executives. * Experience collaborating in cross-functional teams that include Product, Engineering, and Fraud Operations. * Master's or PhD in Computer Science, Statistics, Applied Mathematics, or related quantitative field.

For one of our ongoing multiyear opportunity based out of Dallas, TX, we are looking for a AI engineer. Perform statistical analysis, clustering, and probability modeling to drive insights and inform AI-driven solutions Analyze graph-structured data to detect anomalies, extract probabilistic patterns, and support graph-based intelligence Build NLP pipelines with a focus on NER, entity resolution, ontology extraction, and scoring Contribute to AI/ML engineering efforts by developing, testing, and deploying data-driven models and services Apply ML Ops fundamentals, including experiment tracking, metric monitoring, and reproducibility practices Collaborate with cross-functional teams to translate analytical findings into production-grade capabilities Prototype quickly, iterate efficiently, and help evolve data science best practices across the team The consultant should have Solid experience in statistical modeling, clustering techniques, and probability-based analysis Hands-on expertise in graph data analysis, including anomaly detection and distribution pattern extraction Strong NLP skills with practical experience in NER, entity/ontology extraction, and related evaluation methods An engineering-forward mindset with the ability to build, deploy, and optimize real-world solutions (not purely theoretical) Working knowledge of ML Ops basics, including experiment tracking and key model metrics Proficiency in Python and common data science/AI libraries Strong communication skills and the ability to work collaboratively in fast-paced, applied AI environments .

What Gives Us Purpose Merit Advisors is a fast-growing consulting firm built on 25+ years of experience helping companies in the energy, industrial, and construction sectors improve cash flow and uncover hidden value. Our team of expert consultants combines technical insight with a client-first approach to deliver real financial impact-and we're continuing to expand our reach and talent to support that mission. What We Seek We're looking for a versatile and curious Data Scientist to join our team as our first hire in this function. This is a unique opportunity to shape how data is used across the organization-from driving insights and business decisions to building the foundation for future AI and machine learning initiatives. You'll start by focusing on analytics, business intelligence, automation, and research, working closely with leadership to uncover insights and tell compelling stories with data. Over time, you'll help us evolve toward more advanced machine learning and statistical modeling, supported by a strong data infrastructure and engineering team. What Your Day Will Look Like Partner with executive and business development teams to identify opportunities for data-driven decision-making. Analyze structured and unstructured data to uncover trends, patterns, and actionable insights. Build dashboards and reports using tools like Power BI to support business operations and strategy. Conduct exploratory data analysis and hypothesis testing to support strategic initiatives. Collaborate with analysts and engineers to ensure data quality and accessibility. Contribute to the development of predictive models and machine learning solutions as the company's data maturity grows. Communicate findings clearly and effectively to both technical and non-technical stakeholders. Stay current with emerging tools, techniques, and best practices in data science and AI. You're perfect for this role if you: Proficiency in Python and SQL for data analysis and scripting. Experience with Power BI or similar BI tools. Strong analytical thinking and problem-solving skills. Excellent communication and storytelling abilities. Ability to work independently and collaboratively in a fast-paced environment. Growth mindset and willingness to learn new tools and techniques. Exposure to AWS cloud services. Preferred (Nice to Have): Familiarity with SQL Mesh or similar data orchestration tools. Familiarity with AI Coding Tools such as Claude Code, Cursor, Windsurf, or similar. Basic understanding of machine learning concepts (e.g., regression, classification, clustering). Experience with statistical analysis (e.g., hypothesis testing, A/B testing). Knowledge of version control (e.g., Git) and collaborative development practices. What You Bring: Bachelor's degree (B.S.) in Computer Science, Statistics, Mathematics, Data Science, Management Information Systems, and or Engineering, or other equivalent degrees from a top four-year college or university Minimum 3-5 years of experience is preferred Master's is optional What We Provide At Merit, we ask a lot of our employees, which is why we give so much in return. In addition to your competitive salary, PTO program, medical/dental/vision plan, and matching 401(k), you'll enjoy company-sponsored events, continuous learning opportunities, and the flexibility to manage your work/life balance.

Job Description We are seeking a motivated Data Scientist to research, develop, and enhance machine learning and deep learning algorithms that drive innovative healthcare solutions. This role involves maintaining high data quality standards, collaborating with clinical and business partners to understand their needs, and translating advanced research into practical applications. The ideal candidate will assist in building and improving deep learning frameworks, manage projects independently, and work effectively both individually and within cross-functional teams. Staying current with emerging technologies and demonstrating strong communication, attention to detail, and persistence are essential for success in this role. Essential Duties and Responsibilities: Research, develop, and enhance machine learning and deep learning algorithms and frameworks for computer vision applications, translating cutting-edge research into practical healthcare solutions. Implement and optimize deployment pipelines for trained models to enable efficient, scalable, and hardware-optimized inference. Apply model optimization techniques to reduce computational overhead while preserving accuracy. Maintain data quality and integrity across the data lifecycle to support robust algorithm development and model training. Collaborate with clinical partners and internal stakeholders to understand needs and deliver AI solutions that improve model performance. Assist in writing deep learning framework templates, identifying improvement areas, and implementing new model architectures. Manage projects independently and contribute effectively as part of a team, ensuring reproducible analyses, clear documentation, and knowledge sharing. Stay updated with the latest data science methods, technologies, and industry trends. Demonstrate strong communication skills, persistence, attention to detail, and a drive to complete research projects end-to-end. Qualifications: M.S. or Ph.D. in Computer Science, Electrical Engineering, Biomedical Engineering, Statistics, Applied Mathematics or related field. Knowledge, Skills, and Abilities: Strong foundation in state-of-the-art deep learning architectures (e.g., vision transformers) for computer vision tasks including image classification, object detection, and semantic segmentation. Proficiency in deep learning libraries and frameworks, including PyTorch and TensorFlow. Proficiency in C++ regarding object-oriented programming, data structure and performance optimization technique. Solid knowledge of model optimization techniques, such as pruning, quantization, mixed-precision inference, and other performance-enhancing strategies. Solid knowledge of model deployment tools, including ONNX, LibTorch, and TensorRT. Strong grasp of model evaluation metrics, benchmarking, and best practices for computer vision model validation. Self-driven with the ability to deliver on ambiguous projects with incomplete data. Excellent written communication skills, especially in writing technical manuscripts. Bonus: Experience and knowledge in healthcare domain with successful outcomes. Experience with CUDA programming for developing custom GPU kernels, optimizing computational performance, and accelerating deep learning workflows. Physical Requirements: Prolonged periods of sitting at a desk and working on a computer. Travel: N/A Equal Employment Opportunity: Spectral MD, Inc. is an equal opportunity and affirmative action employer. All applicants will be considered for employment without regard to race, color, ancestry, national origin, sex, gender, sexual orientation, marital status, religion, age, disability, gender identity, results of genetic testing, protected veteran status, or any other characteristic protected by applicable federal, state or local laws.

About Gap Inc. Our brands bridge the gaps we see in the world. Old Navy democratizes style to ensure everyone has access to quality fashion at every price point. Athleta unleashes the potential of every woman, regardless of body size, age or ethnicity. Banana Republic believes in sustainable luxury for all. And Gap inspires the world to bring individuality to modern, responsibly made essentials. This simple idea-that we all deserve to belong, and on our own terms-is core to who we are as a company and how we make decisions. Our team is made up of thousands of people across the globe who take risks, think big, and do good for our customers, communities, and the planet. Ready to learn fast, create with audacity and lead boldly? Join our team. About the Role Gap Inc. is seeking a Principal Data Scientist with deep expertise in operations research and machine learning to lead the design and deployment of advanced analytics solutions across the Product-to-Market (P2M) space. This role focuses on driving enterprise-scale impact through optimization and data science initiatives spanning pricing, inventory, and assortment optimization. The Principal Data Scientist serves as a senior technical and strategic thought partner, defining solution architectures, influencing product and business decisions, and ensuring that analytical solutions are both technically rigorous and operationally viable. The ideal candidate can lead end-to-end solutioning independently, manage ambiguity and complex stakeholder dynamics, and communicate technical and business risk effectively across teams and leadership levels. What You'll Do * Lead the framing, design, and delivery of advanced optimization and machine learning solutions for high-impact retail supply chain challenges. * Partner with product, engineering, and business leaders to define analytics roadmaps, influence strategic priorities, and align technical investments with business goals. * Provide technical leadership to other data scientists through mentorship, design reviews, and shared best practices in solution design and production deployment. * Evaluate and communicate solution risks proactively, grounding recommendations in realistic assessments of data, system readiness, and operational feasibility. * Evaluate, quantify, and communicate the business impact of deployed solutions using statistical and causal inference methods, ensuring benefit realization is measured rigorously and credibly. * Serve as a trusted advisor by effectively managing stakeholder expectations, influencing decision-making, and translating analytical outcomes into actionable business insights. * Drive cross-functional collaboration by working closely with engineering, product management, and business partners to ensure model deployment and adoption success. * Quantify business benefits from deployed solutions using rigorous statistical and causal inference methods, ensuring that model outcomes translate into measurable value * Design and implement robust, scalable solutions using Python, SQL, and PySpark on enterprise data platforms such as Databricks and GCP. * Contribute to the development of enterprise standards for reproducible research, model governance, and analytics quality. Who You Are * Master's or Ph.D. in Operations Research, Operations Management, Industrial Engineering, Applied Mathematics, or a closely related quantitative discipline. * 10+ years of experience developing, deploying, and scaling optimization and data science solutions in retail, supply chain, or similar complex domains. * Proven track record of delivering production-grade analytical solutions that have influenced business strategy and delivered measurable outcomes. * Strong expertise in operations research methods, including linear, nonlinear, and mixed-integer programming, stochastic modeling, and simulation. * Deep technical proficiency in Python, SQL, and PySpark, with experience in optimization and ML libraries such as Pyomo, Gurobi, OR-Tools, scikit-learn, and MLlib. * Hands-on experience with enterprise platforms such as Databricks and cloud environments * Demonstrated ability to assess, communicate, and mitigate risk across analytical, technical, and business dimensions. * Excellent communication and storytelling skills, with a proven ability to convey complex analytical concepts to technical and non-technical audiences. * Strong collaboration and influence skills, with experience leading cross-functional teams in matrixed organizations. * Experience managing code quality, CI/CD pipelines, and GitHub-based workflows. Preferred Qualifications * Experience shaping and executing multi-year analytics strategies in retail or supply chain domains. * Proven ability to balance long-term innovation with short-term deliverables. * Background in agile product development and stakeholder alignment for enterprise-scale initiatives. Benefits at Gap Inc. * Merchandise discount for our brands: 50% off regular-priced merchandise at Old Navy, Gap, Banana Republic and Athleta, and 30% off at Outlet for all employees. * One of the most competitive Paid Time Off plans in the industry.* * Employees can take up to five "on the clock" hours each month to volunteer at a charity of their choice.* * Extensive 401(k) plan with company matching for contributions up to four percent of an employee's base pay.* * Employee stock purchase plan.* * Medical, dental, vision and life insurance.* * See more of the benefits we offer. * For eligible employees Gap Inc. is an equal-opportunity employer and is committed to providing a workplace free from harassment and discrimination. We are committed to recruiting, hiring, training and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We have received numerous awards for our long-held commitment to equality and will continue to foster a diverse and inclusive environment of belonging. In 2022, we were recognized by Forbes as one of the World's Best Employers and one of the Best Employers for Diversity.

**MUST BE US CITIZEN OR GREEN CARD HOLDER** We are looking for a experienced Data Scientist/Machine Learning Engineer. 1. Must have a Master's Degree in any of the these field - Mathematics, Statistics, Computer Science, Data Science, Engineering or related field. 2. At least 5 Years of industry Experience with machine learning algorithms and frameworks like scikit-learn, TensorFlow, and PyTorch. 3. Programming Proficiency: Expertise in programming languages such as Python, R, and SQL for data manipulation and analysis. 4. Statistical Analysis: Strong understanding of statistics and probability to develop and validate models. 5. Data Wrangling: Ability to clean, organize, and preprocess large datasets for analysis. 6. Data Visualization: Proficiency in visualization tools such as Matplotlib, Seaborn, and Tableau to present insights clearly. 7. Database Management: Knowledge of database systems and SQL for efficient data retrieval and storage. 8. Domain knowledge: Understanding of the specific industry domain to contextualize data insights and make relevant recommendations. 9. Communication Skills: Ability to effectively communicate complex data findings to non-technical stakeholders. ABOUT AD-HOC RESEARCH Ad-Hoc Research specializes in providing the full spectrum of Systems Engineering services to major DOD acquisition programs and Research & Development projects. Our company believes in inducing innovations through focused research. We are an army veteran owned 8a company with defense contracts in many states. We are also launching a cyber range platform to provide customer support to our army and defense clients. Our data science team supports a major telecom company to develop and operationalize AI/ML models. We have a lot of exciting opportunities to grow and be successful in our fast growing company! Ad-Hoc Research is an Equal Opportunity Employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or national origin.

Job Description We are looking for a talented Data Scientist skilled in Python and SQL. In this role, you will analyze large datasets, develop predictive models, and derive actionable insights that will guide business decisions. Requirements Proven experience as a Data Scientist or a similar role, with a strong focus on data analysis and modeling. Proficiency in programming languages, especially Python, and strong SQL skills for database management and querying. Experience with statistical analysis techniques and data visualization tools (e.g., Tableau, Matplotlib, Seaborn). Familiarity with machine learning frameworks and libraries (e.g., Scikit-learn, TensorFlow). Strong analytical skills and the ability to work with large datasets to extract meaningful information. Experience in data preprocessing, feature engineering, and model evaluation. Excellent problem-solving abilities and strong communication skills to present findings effectively. A degree in Computer Science, Mathematics, Statistics, or a related field is preferred. Benefits About Us We specialize in Digital, ERP, and larger IT Services. We offer flexible, efficient and collaborative solutions to any organization that requires IT, experts. Our agile, agnostic, and flexible solutions will help you source the IT Expertise you need. If you are looking for new opportunities, send your profile at ***************************. Also follow our LinkedIn page for new job opportunities and more. Zone IT Solutions is an equal opportunity employer and our recruitment process focuses on essential skills and abilities. We encourage applications from a diverse array of backgrounds, including individuals of various ethnicities, cultures, and linguistic backgrounds, as well as those with disabilities.

Bring your expertise to JPMorganChase. As part of Risk Management and Compliance, you are at the center of keeping JPMorganChase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class. As a Technology Operational Risk Management Data Scientist within our risk assessment team, you will utilize your expertise in data science, machine learning, and data engineering, coupled with a keen interest in technology and cybersecurity risk. Your proficiency in Python and SQL, experience with data visualization tools, and a working knowledge of AI and machine learning algorithms will be vital. Your role will encompass supporting the business by conducting independent risk assessments on specific technologies, employing data-first strategies and advanced analytics. You will be responsible for identifying emerging technology risks and understanding third-party risks associated with the technology in use. This role offers the opportunity to join the Tech & Cyber Operational Risk Management team, responsible for the successful implementation and execution of the Compliance, Conduct, and Operational Risk (CCOR) Tech & Cyber framework within JPMorganChase. You will provide Second Line of Defense challenge and oversight to our technology and cybersecurity partners. Job Responsibilities Perform independent Technology and Cybersecurity Risk assessments on specific technologies using AI, data-first approaches, and advanced analytics to identify and mitigate potential risks. Define and test statistical hypotheses to evaluate the impact of emerging technologies and third-party risks on the organization. Utilize Python and SQL to manipulate and analyze large data sets, providing actionable insights to support risk management strategies. Create and maintain dashboards and reports using Tableau and AWS Quicksight to visualize data and communicate findings to stakeholders. Develop and operate data loads into Oracle and Databricks environments, ensuring data integrity and quality. Apply AI and Machine Learning algorithms, including Open AI GPT, Scikit-learn, TensorFlow, and AWS SageMaker, to develop predictive models and enhance risk assessment capabilities. Required Qualifications, Capabilities and Skills Bachelor's degree in Computer Science, Engineering, Data Science, or a related field. Experience and passion for data science, data engineering, and technology & cybersecurity risks. Excellent analytical skills with the ability to define and test risk hypotheses using advanced data-science tools. Experience with data visualization tools such as Tableau and AWS Quicksight. Proficiency in Python and SQL data science tools (e.g., Pandas, NumPy, Matplotlib, etc.) Strong knowledge of AI and Machine Learning algorithms, including Scikit-learn, TensorFlow, or AWS SageMaker. Strong communication and collaboration skills, with the ability to convey complex technical concepts to non-technical stakeholders effectively. Keen interest in developing skills in cybersecurity, technology operations, and risk management.

A retail client is hiring Applied Data Scientists to join their Profit to Serve (PTS) initiative-a priority program driving scenario modeling and last-mile routing optimization to improve profitability and service. PTS is a foundational enabler in our AI strategy, connecting precision costing with automated insights and routing simulations. You'll work on-site in Plano, TX, partnering directly with transformation leaders to shape a high-impact initiative at the intersection of AI, data science, and operational excellence. If you love fast iteration, hands-on coding, and solving real-world business problems, this is your opportunity to make an impact at scale. What You'll Do - Build and iterate models for cost impact estimation, price elasticity, and routing optimization. - Design clustering approaches for route/service segmentation and validate optimization assumptions. - Translate ambiguous business questions into testable models and ship prototypes weekly. - Collaborate closely with business partners and data science leads to deliver reusable solutions. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ********************.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: **************************************************** Skills and Requirements - Strong coding skills in Python (pandas, numpy, scikit-learn) and SQL. - Experience with regression, elasticity estimation, clustering, and experimental validation. - Comfort working with optimization outputs and constraints. - Ability to wrangle data from cloud-based sources and iterate quickly with stakeholders. - Logistics simulation experience, API-driven optimization tools, and basic MLOps hygiene.