Data scientist jobs in McKinney, TX

Our client is seeking a Senior Data Analytics Engineer (Customer Data) to join their team! This position is located in remote. Build, optimize, and maintain customer data pipelines in PySpark/Databricks to support CDP-driven use cases across AWS/Azure/GCP Transform raw and integrated customer data into analytics-ready datasets used for dashboards, reporting, segmentation, personalization, and downstream AI/ML applications Develop and enrich customer behavior metrics, campaign analytics, and performance insights such as: ad engagement, lifecycle metrics, retention Partner with Marketing, Sales, Product, and Data Science teams to translate business goals into metrics, features, and analytical data models Build datasets consumed by Power BI/Tableau dashboards (hands-on dashboard creation not required) Ensure high cluster performance and pipeline optimization in Databricks, including troubleshooting skewed joins, sorting, partitioning, and real-time processing needs Work across multiple cloud and vendor ecosystems such as: AWS/Azure/GCP; Hightouch or comparable CDP vendors Participate in the data ingestion and digestion phases, shaping integrated data into analytical layers for MarTech and BI Contribute to and enforce data engineering standards, documentation, governance, and best practices across the organization Desired Skills/Experience: 6+ years of experience in Data Engineering, Analytics Engineering, or related fields, including data modeling experience Strong Data Engineering fundamentals with the ability to design pipelines, optimize performance, and deliver real-time or near-real-time datasets Ability to deeply understand data, identifying gaps, designing meaningful transformations, and creating metrics with clear business context Understanding of how customer data moves through Customer Data Platforms (CDPs) and how to design pipelines that integrate with them Experience supporting Marketing, Customer Data, MarTech, CDP, segmentation, or personalization teams strongly preferred Hands-on experience required with: Databricks, PySpark, Python, SQL, Building analytics datasets for dashboards/reporting and customer behavior analytics or campaign performance insights Experience designing and implementing features that feed downstream AI or customer-facing applications Benefits: Medical, Dental, & Vision Insurance Plans Employee-Owned Profit Sharing (ESOP) 401K offered The approximate pay range for this position starting at $150-160,000+. 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 HCSC, our employees are the cornerstone of our business and the foundation to our success. We empower employees with curated development plans that foster growth and promote rewarding, fulfilling careers. Join HCSC and be part of a purpose-driven company that will invest in your professional development. **Job Summary** This position is responsible for providing advanced mathematical and statistical methods to solve business problems. Data Scientists collect, integrate and analyze data from sources related to health status and outcomes for our members, characteristics of health care providers, internal business processes, and other domains. Data Scientists perform complex statistical analysis on experimental or business data to validate and quantify trends or patterns identified by business analysts. Data Scientists use machine learning and probabilistic modeling to construct predictive algorithms to support data analysis or product functions; they verify model and algorithm effectiveness based on real-world results. Data Scientists design experiments and methodologies to generate and collect data for business use. Data Scientists create visualizations, interactive analytical applications and interpretive artifacts to support business application of data science findings. **Required Job Qualifications:** + Bachelor's degree and 1 year of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR Actuarial credential; OR Master's degree in an advanced mathematical, statistical, computer science, engineering, physics, economics or related quantitative field without experience; OR 5 years experience in an advanced mathematical, statistical, computer science, engineering, physics, economics or related quantitative field. + Learning and growth mindset. + Customer focus + Interpersonal, verbal and written communication skills. + Experience in at least four of the following six areas: 1) data analysis and relational-style query languages; 2) machine learning and/or statistical modeling; 3) data visualization; 4) a high-level programming language; 5) distributed computing; 6) understanding of healthcare. **Preferred Job Qualifications:** + Master's or Ph.D. in a quantitative field, or bachelor's degree with significant healthcare experience. **Are you being referred to one of our roles? If so, ask your connection at HCSC about our Employee Referral process!** **Pay Transparency Statement:** At Health Care Service Corporation, you will be part of an organization committed to offering meaningful benefits to our employees to support their life outside of work. From health and wellness benefits, 401(k) savings plan, pension plan, paid time off, paid parental leave, disability insurance, supplemental life insurance, employee assistance program, paid holidays, tuition reimbursement, plus other incentives, we offer a robust total rewards package for employees. Learn more about our benefit offerings by visiting ************************************* . The compensation offered will vary depending on your job-related skills, education, knowledge, and experience. This role aligns with an annual incentive bonus plan subject to the terms and the conditions of the plan. **HCSC Employment Statement:** We are an Equal Opportunity Employment employer dedicated to providing a welcoming environment where the unique differences of our employees are respected and valued. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristics. **Base Pay Range** $69,200.00 - $146,700.00 Exact compensation may vary based on skills, experience, and location. **Join our talent community and receive the latest HCSC news, content, and be first in line for new job opportunities.** **Join our Talent Community. (******************************************** PA8v\_eHgqFiDb2AuRTqQ)** For more than 80 years, HCSC has been dedicated to expanding access to high-quality, cost-effective health care and equipping our members with information and tools to make the best health care decisions for themselves and their families. As an industry leader, HCSC also has been helping to make the health care system work better for all Americans. To remain a leader, we offer compelling careers that encourage resourcefulness, strategic thought and empower you to make a difference in the lives of our members and their communities. Today, with the industry at an important crossroad, HCSC is reimagining health care and looking for original thinkers who aren't afraid to make innovative contributions. We are an Equal Opportunity Employment employer dedicated to workforce diversity and a drug-free and smoke-free workplace. Learn more about HCSC, our commitment to our members and the opportunity you'll have to improve health care delivery in an open, collaborative environment. HCSC is committed to diversity in the workplace and to providing equal opportunity to employees and applicants. If you are an individual with a disability or a disabled veteran and need an accommodation or assistance in either using the Careers website or completing the application process, you can call us at ************** to request reasonable accommodations. Please note that only **requests for accommodations in the application process** will be returned. All applications, including resumes, must be submitted through HCSC's Career website on-line application process. If you have general questions regarding the status of an existing application, navigate to "candidate home" to view your job submissions. Blue Cross and Blue Shield of Illinois, Blue Cross and Blue Shield of Montana, Blue Cross and Blue Shield of New Mexico, Blue Cross and Blue Shield of Oklahoma, and Blue Cross and Blue Shield of Texas, Divisions of Health Care Service Corporation, a Mutual Legal Reserve Company, and Independent Licensee of the Blue Cross and Blue Shield Association © Copyright 2025 Health Care Service Corporation. All Rights Reserved.

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

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.

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

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. We can recommend jobs specifically for you! Click here to get started.

**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 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.

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.

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.

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.

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.

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.

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.

Digitas is the Networked Experience Agency, built on the vision that we create magnetic experiences that earn the right for brands to exist in human networks. Today, and tomorrow. We deliver Networked Experiences by leveraging comprehensive data, technology, creative, media and strategy capabilities. Digitas delivers ambitious outcomes via unique solutions that include Creative Experiences, Integrated Media, Addressable Relationships, Social Marketing and Total Commerce. Celebrated by AdAge as Data and Insights Agency of the Year, U.S Campaign's Brand Experience Agency of the Year, Media Network of the Year and celebrated by Forrester and Gartner, Digitas serves the world's leading brands through a global network comprised of more than 5,500 employees across over 65 offices in 43 countries. The Digitas culture is made up of fearless, inventive and generous Unicorns of all kinds. Overview The Data Science team uses data-driven insights and recommendations to fuel strategic growth for clients through building industry-leading analytical solutions. We apply bespoke and cutting-edge arsenal of analytical, statistical and machine learning techniques to complex problems at scale, with an emphasis on game-changing and measurable business impact. We work in close collaboration with colleagues across all agency disciplines to develop truly innovative, highly effective, data-powered solutions for our clients. To help with this, we're looking for an outstanding Data Scientist - someone with an intellectually curious and creative problem solver who is willing to tackle the familiar and unfamiliar of all things data, including methods, technologies and applications. Sound like you? Read on. Responsibilities As a Data Scientist, you'll partner with the business leaders and diverse team members to solve complex marketing challenges and deliver impact - from cross-channel media and customer experience optimization to segmentation, targeting and business strategy - through analytics, machine learning and statistical methods. Day-to-day, your role includes: * Translate and reframe marketing and business questions and requirements into analytical plans. * Conduct extensive exploratory analysis to identify relevant insights, useful transformations and analytical applications. * Leverage machine learning, causal inference methods or statistically sound analyses to drive actionable insights and help shape our understanding of marketing strategy, campaign planning, efficacy and effectiveness. * Build and test scalable data pipelines and models for real-time applications. * Summarize, visualize, communicate and document analytic concepts, processes and results for technical and non-technical audiences * Collaborate with team members to establish clear analytical objectives, approaches and timelines. * Facilitate ownership and accountability by ensuring that the team is producing trustworthy and high-quality outputs that influence the decisions and direction of a variety of business areas. * Proactively explore trends in marketing and digital performance and stay up-to-date with latest AI/ML advancements to surface future opportunities. * Share knowledge, debate techniques, and conduct research to advance the collective knowledge and skills of our Data Science practice. * Work independently and drive your own projects. Qualifications * Two years of industry experience in data science and marketing field * Strong understanding of statistical modeling, machine learning algorithms, causal inference and experimental design * Experience in media performance analytics such as attribution modeling, incrementality testing and advance measurement methodologies. * Proficiency in common data science coding languages such as in SQL, Python and/or R (Spark is preferred) * Practical experience with Google Cloud Platform and services such as BigQuery, Looker, and DataProc * Exceptional communication and presentation skills with technical and non-technical audiences * Comfort with ambiguity; ability to thrive with minimal oversight and process. * Embodies Digitas values while bringing a new perspective to continue improving our team. Additional information Our Publicis Groupe motto "Viva La Différence" means we're better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent. Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off. If you require accommodation or assistance with the application or onboarding process specifically, please contact *****************************. Compensation Range: $72.390 - $99,960. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 11/30/25. All your information will be kept confidential according to EEO guidelines.

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.

Duties: Build advanced machine learning and NLP models to address complex business challenges and enhance product capabilities. Design and implement creative software solutions that integrate machine learning models into real-world business flows, leveraging programming languages for production-quality code development. Collaborate with product managers and partner teams to translate business requirements into technical specifications and designs, incorporating state-of-the-art machine learning models. Develop scalable APIs using cloud services, ensuring secure and high-quality production code that meets industry standards. Utilize CI/CD tools and containerization methodologies to deploy code into production environments, automating processes to enhance operational stability and efficiency. Facilitate data pipelines to ensure seamless integration of machine learning models into existing systems. Drive evaluation sessions with external vendors, startups, and internal teams to assess architectural designs and technical credentials, ensuring applicability within existing information architecture. Drive firm-wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across various business areas, contributing to reusable code and components. Engage in independent research and exploration of new machine learning methods to stay abreast of advancements and apply them to complex business- critical problems. Implement statistical analysis and testing to validate machine learning models and ensure their effectiveness in solving business problems, providing insights into data-driven decision-making processes. Develop and utilize knowledge graphs to enhance data connectivity and semantic understanding, enabling advanced data analytics and solving problems such as fraud detection. QUALIFICATIONS: Minimum education and experience required: Master's degree in Data Science, Machine Learning, Computer Science, or related field of study plus 3 years of experience in the job offered or as Data Scientist, Software Engineer, Machine Learning Engineer, Research Engineer, or related occupation. The employer will alternatively accept a Bachelor's degree in Data Science, Machine Learning, Computer Science, or related field of study plus 5 years in the job offered or as Data Scientist, Software Engineer, Machine Learning Engineer, Research Engineer, or related occupation. Skills Required: This position requires experience with the following: Applying statistical methods and probability theory for effective hypothesis and A/B testing to enhance machine learning models and business decisions; Designing and developing machine learning models to address real-world business challenges using structured and unstructured data; Leveraging Python for machine learning model development, training, and inference using a rich library ecosystem; Integrating knowledge graphs with ML models to infer data relationships to enhance semantic understanding and AI decision-making; Building backend services using Java, and integrating solutions into business systems with multi-threading and multiprocessing for performance and security; Streamlining software development and deployment using Jenkins for CI/CD pipelines; Containerizing ML applications using Docker for consistent, scalable deployment; Deploying ML models with AWS services such as SageMaker leveraging AWS infrastructure for data storage, processing, and hosting; Employing Informatica for data integration and ETL processes, ensuring quality data management for timely analysis; Automating and scheduling workflows using Autosys for efficient machine learning and data pipeline execution; Providing modular, scalable software solutions using Microservices architecture integrating ML models into business workflows. Job Location: 8181 Communications Pkwy, Plano, TX 75024

Important Note: Candidates should have the following experience Reason for contingent headcount? Workload What is the project(s) name? What specific departments will they interact with? What phase is the project currently in? Ongoing Support Requirements: Must Haves: Strong quantitative skills Preferred/ Nice-to-haves: (The below is not necessary for this position. These are the responsibilities of the new big data architect position we are hiring for) Additional Information All your information will be kept confidential according to EEO guidelines.