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TransUnion's Job Applicant Privacy Notice Personal Information We Collect Your Privacy Choices What We'll Bring: At TransUnion, we have a welcoming and energetic environment that encourages collaboration and innovation we're consistently exploring new technologies and tools to be agile. This environment gives our people the opportunity to hone current skills and build new capabilities, while discovering their genius. Come be a part of our team - you'll work with great people, pioneering products and cutting-edge technology. What You'll Bring: 10+ years of professional experience performing applied data science or analytic consulting work in Financial Services, consumer credit, or a related industry 5+ years in team management and leadership roles with increasing complexity and responsibility Master's or PhD degree in statistics, data science, business analytics, applied mathematics, financial mathematics, engineering, operations research, computer science or another highly quantitative field. A track record of academic excellence Deep, hands-on expertise applying machine learning, statistical inference, and predictive modeling methods in a commercial setting Proficiency in one or more analytic languages (R, Python) Proven ability to architect and engineer machine-learning pipelines with online / real-time features Current knowledge of and strong interest in consumer credit trends and dynamics. Ability to speak authoritatively with customers on relevant topics Ability to collaborate with customers to frame and define ill-structured problems and design effective solution approaches An excellent oral and written communicator with highly technical and non-technical TU leaders, partners, and customers. A proven ability to establish rapport, persuade others, ask insightful questions, and promote understanding across all levels of the organization. Substantial prior experience making formal presentations to large and senior-level groups, as well as in smaller and less formal settings Availability to travel up to 25%. We'd Love to See: Consultative approach to decision-making, ability to gather and synthesize multiple perspectives Aptitude and passion for design of highly effective processes Proficiency in one or more general-purpose programming languages (C/C++, Java), follows software engineering best practices to generate performant and implementable code Experience manipulating large datasets in SQL Experience with big data frameworks (Spark, Redshift, BigQuery, Hadoop, Ab Initio) Experience with cloud computing (AWS, GCP) Experience serving highly regulated industries Familiarity with credit bureau data and business practices Impact You'll Make: The DSA Argus leader drives core components of TransUnion Argus strategy as part of the DSA Financial Services Consulting department. This leader will manage a full capability stack, and in close collaboration with matrix partners across multiple business units they will: Lead the development of models and solutions using machine learning, statistical analysis, mathematical modeling, and artificial intelligence techniques to predict and measure outcomes and consequences. Establish and enforce best practices in the design and development practices for the aforementioned models, including rigorous management of a robust, scalable codebase, collaboratively with other DSA leaders. Proactively participate in the development of operating policies and procedures of significant scope and complexity to promote operational excellence across Data Science & Analytics. Advocate for productivity-enhancing operating procedures and technologies. Cultivate and maintain strategic partnerships and customer relationships, including via actionable, data science consulting that spans the lifecycle from issue discovery through solution development, deployment, and governance. Support Sales and Argus Advisory Services in demonstrating efficacy and value, arming client-facing associates with tools to help drive adoption and revenue Work with the Solutions organization to propose, prioritize, design, develop and take to market new products, including generic scores, derived from Argus consortium data. Curate a robust repository of internally and externally sourced analytic data assets, constructing pipelines, preserving data quality, implementing appropriate privacy and compliance controls, maximizing utility for a broad and growing set of use cases, maintaining a complete data dictionary, and publishing relevant insights. Lead the design, management and automated production of custom insights for Argus consortium members. Maintain current knowledge of relevant machine learning research, open-source tools, commercial software, and competitors' offerings. Maintain knowledge and ensure compliance with regulatory and contractual requirements pursuant to minimizing legal risks in the management of Argus consortium data. Contribute novel methods and research findings to TransUnion's growing intellectual property (IP) portfolio, potentially including patents. Assemble, maintain, and lead a geographically dispersed, high-performing team with specialized domain and technical expertise in accordance with DSA global standards. Eliminate constraints to cross-team collaboration and integration. Promote the cross-team propagation of successful ideas and approaches. Evangelize the team's unique capabilities, regularly developing and delivering thought leadership content in conjunction with broader DSA capability marketing efforts, in collaboration with matrix partners in Marketing and Solutions Marketing. Advise sponsors and stakeholders on the capabilities and potential value of proposed vendors, partners, and acquisition targets, including commercial and open-source software tools and frameworks. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, Fair Chance Initiative for Hiring Ordinance, and the California Fair Chance Act. Adherence to Company policies, sound judgment and trustworthiness, working safely, communicating respectfully, and safeguarding business operations, confidential and proprietary information, and the Company's reputation are also essential expectations of this position. This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. Benefits: TransUnion provides flexible benefits including flexible time off for exempt associates, paid time off for non-exempt associates, up to 12 paid holidays per year, health benefits (including medical, dental, and vision plan options and health spending accounts), mental health support, disability benefits, up to 12 weeks of paid parental leave, adoption assistance, fertility planning coverage, legal benefits, long-term care insurance, commuter benefits, tuition reimbursement, charity gift matching, employee stock purchase plan, 401(k) retirement savings with employer match, and access to TransUnion's Employee Resource Groups. Spousal, domestic partner, and other eligible dependent coverage is available on select health and welfare plans. We are committed to being a place where diversity is not only present, it is embraced. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, genetic information, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law. Additionally, in accordance with Section 503 of the Rehabilitation Act of 1973 and the Vietnam Era Veterans' Readjustment Assistance Act of 1974, TransUnion takes affirmative action to employ and advance in employment qualified individuals with a disability and protected veterans in all levels of employment and develops annual affirmative action plans. Components of TransUnion's Affirmative Action Program for individuals with disabilities and protected veterans are available for review to any associate or applicant for employment upon request by contacting ERCoE@transunion.com. Pay Scale Information : The U.S. base salary range for this position is $187,500.00 - $312,500 annually. *The salary range for this position reflects a reasonable estimate of the range of compensation for this job. At TransUnion, actual compensation is based on careful consideration of additional factors such as (but not limited to) an individual's education, training, work experience, job-related skill set, location, and industry knowledge, as well as the scope and responsibilities of the position and market considerations. Regular, fulltime non-sales positions may be eligible to participate in TransUnion's annual bonus plan. Certain positions may be also eligible for long-term incentives and other payments based on applicable company guidance and plan documents. TransUnion's Internal Job Title: Sr Director, Data Science and Analytics

The Data Enablement and Analytics (DEA) team, within the PMPD (Preclinical Manufacturing and Process Development) organization, is a multi-functional team that drives PMPD's digitalization efforts in support of the PMPD "Science to Process" mission, making data usable and useful! We are seeking a Staff Engineer, Data Science to join our Data Science team in DEA, who pairs deep bioprocess‐engineering expertise with sophisticated AI/ML capabilities to accelerate biologics development and manufacturing. You will design, implement, and operationalize models for upstream (cell-culture/bioreactor) and/or downstream purification operations while partnering closely with process-development, manufacturing-sciences, and digital teams. You will turn data into prescriptive guidance, deploy production-grade models, and build innovative AI solutions that enhance process understanding, optimization, and automation. A Typical Day in the Role of Staff Engineer Might Look Like: Develop, validate, and maintain mechanistic, hybrid, and data-driven models for cell culture and/or purification processes. Translate complex bioprocess questions into quantitative modeling strategies that inform scale-up, tech transfer, and continuous improvement. Advance PMPD's broader data-science and digital-maturity initiatives. Collaborate with process engineers, citizen data scientists, IT, and manufacturing colleagues to coordinate modeling efforts enterprise wide. Build and deploy AI/ML-powered digital solutions on cloud-based analytics platforms. Mentor citizen data scientists and champion best practices in model development, method selection, and code quality. Explore and prototype GenAI approaches (e.g., Retrieval-Augmented Generation) to enhance knowledge management, and decision support. This Role Might Be For You If You Have: Analytical rigor and creative problem solving Ability to drive projects autonomously while thriving in cross-functional teams Excellent written and verbal communication Passion for innovation and continuous learning This role requires a Ph.D. in Chemical/Biochemical Engineering, Biotechnology, Applied Mathematics, or related field with 4+ years of industrial experience OR- Master's with 7+ years. A deep mechanistic understanding of upstream and/or downstream bioprocess unit operations, scale-up/down principles, and critical quality attributes is required. A demonstrated success modeling bioprocesses via first-principles, hybrid, or data-driven (ML) methods is preferred. A strong foundation in AI/ML algorithms (regression, classification, Bayesian methods, deep learning, time-series, probabilistic modeling) is a plus, along with expertise in multivariate statistics for process modeling, real-time monitoring, and control. Expert programming proficiency in Python and SQL and experience with statistical/computational tools such as JMP, SIMCA, MATLAB is helpful. Proven ability to communicate technical concepts to multidisciplinary stakeholders a must. Preferred Qualifications Hands-on experience with cloud analytics platforms (e.g., Dataiku, Databricks). Strong working knowledge of Quality-by-Design (QbD) principles and statistically rigorous Design-of-Experiments (DoE) for defining design space, optimizing critical process parameters, and informing robust control strategies. Familiarity with PAT and chemometric modeling (e.g., Raman spectroscopy) for bioprocess monitoring and control. Understanding of operation research techniques such as combinatorial optimization, linear programming, mixed integer programming is a plus. Exposure to GenAI stacks (LLMs, vector databases, RAG pipelines) and multimodal techniques. Strong publication record in bioprocess modeling or AI for biomanufacturing. YouTube Video on PMPD Bioreactor Scale Up Development: https://www.youtube.com/watch?v=uikD5fzEwyM YouTube Video on Career Development at Regeneron: https://www.youtube.com/watch?v=4fg18hC-gsw&list=PL_7lj13Lp4fH4OssUue8J5bby6muZsaR4&index=2 #pmpd Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We have an inclusive and diverse culture that provides comprehensive benefits, which often include (depending on location) health and wellness programs, fitness centers, equity awards, annual bonuses, and paid time off for eligible employees at all levels! Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, nationality, national or ethnic origin, civil status, age, citizenship status, membership of the Traveler community, sexual orientation, disability, genetic information, familial status, marital or registered civil partnership status, pregnancy or parental status, gender identity, gender reassignment, military or veteran status, or any other protected characteristic in accordance with applicable laws and regulations. The Company will also provide reasonable accommodation to the known disabilities or chronic illnesses of an otherwise qualified applicant for employment, unless the accommodation would impose undue hardship on the operation of the Company's business. For roles in which the hired candidate will be working in the U.S., the salary ranges provided are shown in accordance with U.S. law and apply to U.S.-based positions. For roles which will be based in Japan and/or Canada, the salary ranges are shown in accordance with the applicable local law and currency. If you are outside the U.S, Japan or Canada, please speak with your recruiter about salaries and benefits in your location. Please note that certain background checks will form part of the recruitment process. Background checks will be conducted in accordance with the law of the country where the position is based, including the type of background checks conducted. The purpose of carrying out such checks is for Regeneron to verify certain information regarding a candidate prior to the commencement of employment such as identity, right to work, educational qualifications etc. Salary Range (annually) $126,700.00 - $206,900.00

Clio is more than just a tech company-we are a global leader that is transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice. Summary: Imagine being the Director, Data Science at Clio, the legal software company that is on a mission to revolutionize the legal experience for everyone. Reporting to Senior Director, Head of Data & Analytics, you will be responsible to build predictive and prescriptive solutions to enhance Clio's operations in marketing, sales, post-sales, and product development. In this role, you will partner with senior business leaders across go-to-market and product teams to identify opportunities for predictive and prescriptive data-driven solutions. You will lead development of advanced analytics and machine learning solutions for revenue forecasting, churn and cross-sell propensity modeling, pricing optimization, sentiment analysis, to name a few, and establish best practices for building modular reusable assets, to enable timely, robust, and rigorous analyses. You will mentor data science teams and collaborate with cross-functional stakeholders to deploy these solutions in practice and achieve the business impact. Your mission is to build the centre of excellence for data science, and to partner with senior leaders across Clio to make reliable, timely, and effective data-driven decisions! What you'll work on: Define and implement Clio's data science strategy that aligns with Clio's business objectives, including revenue growth, customer retention, and operational efficiency Establish an impact-driven prioritization framework and a comprehensive data science roadmap, with clear business cases for all initiatives Lead, manage, mentor, and grow a team of data scientists, and establish clear technical and professional development plans Foster strong collaboration across the Data & Analytics org, including with data modeling, business intelligence, data engineering, and operations analytics teams Partner with product teams to embed predictive and prescriptive analytics to improve customer experience and product adoption Be an active participant and contributor on the Business Operations Leadership Team and Extended Leadership Team (comprised of senior leaders Director+) Expand existing data science models to analyze customer behavior and predict their needs, interest, and readiness, and enable go to market teams to tailor their strategies Deploy machine learning models in production, ensuring scalability, reliability, and continuous monitoring of their performance Keep up-to-date with the latest developments in AI, and establish Clio as a thought leader in reusable data and analytics solutions, actively implementing and contributing to industry best practices Serve as a strategic voice and partner for senior leaders and executives, including educating the business on best practices and path to implement repeatable analytics and reporting About you: Graduate degree in Computer Science, Engineering, Statistics or a related field. 10+ years extensive experience building and scaling a data science function in a high-growth environment 10+ years extensive experience managing data, analytics, and engineering teams with 10+ direct and indirect reports 15+ years extensive hands-on experience with a wide range of data science and machine learning techniques, including classification, regression, time series forecasting, natural language processing, and unsupervised learning Experience reporting and presenting to senior business stakeholders Experience leading go-to-market initiatives and partnering with product development teams Experience with putting data science solutions in production and maintaining them Strong storytelling skills with the ability to coach and teach best practices, and to explain technical analyses to non-technical audiences Bonus points for: High level of business acumen obtained through professional experience or certification MBA, CFA, PMM Experience in SaaS or legal industry Experience with unstructured data and graph data structures What you will find here: Compensation is one of the main components of Clio's Total Rewards Program. We have developed a series of programs and processes to ensure we are creating fair and competitive pay practices that form the foundation of our human and high-performing culture. Some highlights of our Total Rewards program include: Competitive, equitable salary with top-tier health benefits, dental, and vision insurance Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, and Dublin) to be in office minimum 2 days per week on our Anchor Days. Flexible time off policy, with an encouraged 20 days off per year. EAP benefits for you and household members, including counseling and online resources 401k matching and Child Education Savings Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years The full salary range* for this role is $240,700 to $300,800 to $360,900 USD. Please note there is a separate band for those in the San Francisco / Bay Area. For those outside the United States, there are a separate set of salary bands for other regions.. In addition, this role is eligible for variable pay that is based on company performance, with actual payout amounts calculated and paid on a quarterly basis. We aim to hire all candidates between the minimum and the midpoint of the full salary range. We reserve the midpoint to the maximum of the salary band for internal employees who demonstrate sustained high performance and impact at Clio. The final offer amount for this role will be dependent on individual experience and skillset of the candidate. Diversity, Inclusion, Belonging and Equity (DIBE) & Accessibility Our team shows up as their authentic selves, and are united by our mission. We are dedicated to diversity, equity and inclusion. We pride ourselves in building and fostering an environment where our teams feel included, valued, and enabled to do the best work of their careers, wherever they choose to log in from. We believe that different perspectives, skills, backgrounds, and experiences result in higher-performing teams and better innovation. We are committed to equal employment and we encourage candidates from all backgrounds to apply. Clio provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs. Learn more about our culture at clio.com/careers

General Summary Elevate is a leading online lending platform specializing in providing small dollar loans to individuals and businesses. Our mission is to offer accessible and responsible financial solutions through innovative technology and personalized service. As we continue to grow our operations, we are looking for a dynamic and strategic Vice President of Credit Risk Management to join our leadership team. Principal Duties and Responsibilities Strategic Leadership Develop and execute a comprehensive credit risk management strategy aligned with the company's growth objectives. Stay abreast of industry trends, competitive practices, and regulatory changes to inform strategic decisions. Collaborate with the executive team to integrate credit risk considerations into overall business strategy. Portfolio Performance Help design and monitor portfolio reports, dashboards, and KPIs that allow executive management to measure portfolio profitability. Develop and maintain a strong relationship with Marketing, IT, Legal/Compliance and other functions to ensure alignment of Risk Management initiatives with Company objectives. Work with internal risk partners to improve the efficiency and effectiveness of the end-to-end programs for each business. Analyze the expected risk impacts and profitability of new products/Marketing channels. Make recommendations and execute strategy enhancements to improve profitability through creative Risk Management solutions. Work with product and marketing to set goals on different financial levers (first pay defaults, fund rates, cost of acquisition, profitability, etc… Innovation and Technology Integration Champion the adoption and integration of innovative technologies that enhance risk assessment processes, such as AI and data analytics tools. Explore opportunities to improve customer experience and operational efficiency through technology solutions. Team Leadership and Development Lead and mentor a high-performing risk management team, promoting a culture of innovation, accountability, and collaboration. Foster talent development and ensure team members have access to the training and development they need to excel. Regulatory Compliance and Governance Ensure all credit risk management practices are compliant with relevant laws and regulations. Collaborate with legal and compliance teams to develop risk policies and procedures that align with best practices and regulatory requirements. Stakeholder Engagement Build strong relationships with internal and external stakeholders, including executives, product teams, and regulatory bodies. Present credit risk strategies and findings to the board and senior leadership in a clear and compelling manner. Experience and Education Master's degree in Finance, Business Administration, Economics, or a related field; PhD preferred. 10+ years of experience in credit risk management within the financial services or online lending industry. Proven track record of strategic leadership and driving high-impact initiatives successfully. Strong expertise in credit risk modeling methods, including experience with machine learning techniques. Excellent understanding of regulatory requirements and best practices in credit risk management. Exceptional analytical skills, with the ability to synthesize complex data and make informed decisions. Proven ability to drive innovation using technology and data analytics. Strong interpersonal and communication skills, with the ability to influence at all levels of the organization. California Employee Privacy Policy | Family & Medical Leave Act | Employee Polygraph Protection Act |E-Verify #LI-BJ1

We are seeking a strategic, collaborative, and technically skilled Director of Data Science to lead and grow our data science team. In this role, you will shape the team's vision, foster an inclusive and high-performing culture, and drive impactful machine learning and advanced analytics initiatives across the organization. You will work closely with cross-functional partners to address complex challenges and embed data science into our core products, services, and operations. The role will report to the VP of Data & Analytics. What You'll Do Leadership & Strategy Define and lead the data science vision, strategy, and roadmap in alignment with business goals and measurable outcomes Act as a strategic advisor and thought leader, championing the adoption and responsible use of AI/ML across the organization Advocate for ethical, transparent, and compliant data use, upholding standards of fairness and accountability in all initiatives Team Development & Management Build, mentor, and lead a high-performing, collaborative team of data scientists Foster a culture of inclusion, innovation, and continuous learning within the team Set clear goals and development plans to support team growth and success Cross-Functional Collaboration Partner closely with Sales, Product, Marketing, Customer Success, Engineering, and other teams to drive impactful data science initiatives Serve as a bridge between technical teams and business units, ensuring alignment on priorities, deliverables, and strategic value Analytical & Communication Excellence Translate complex, ambiguous problems into structured, actionable analytical solutions Deliver clear, compelling insights to both technical and non-technical audiences through storytelling and data visualization Present findings and strategic recommendations to senior and executive stakeholders to influence high-level decisions Model Development & Operations Oversee the full lifecycle of machine learning models, including development, validation, deployment, monitoring, and continuous improvement Collaborate with Data Engineering to design scalable, well-defined data assets, features, and metrics that support evolving analytical and product needs Standards & Best Practices Establish and promote best practices in experimentation, modeling, data governance, and model reproducibility Ensure robust documentation, version control, and transparency across all projects to support sustainability and auditability What You'll Need Minimum Qualifications 10+ years in data science or machine learning roles, including 5+ years in a leadership position Advanced degree (PhD/MS) in a quantitative field such as Computer Science, Statistics, Mathematics, or similar Proven experience deploying machine learning models at scale in production environments Preferred Qualifications Background in SaaS or experience working with B2B business models Strong programming skills in Python and experience with ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Deep understanding of statistical modeling, causal inference, and A/B testing Excellent communication and stakeholder management skills Familiarity with modern data stacks: cloud data warehouses (Snowflake, BigQuery), orchestration tools, and MLOps platforms Experience with NLP, recommendation systems, or time-series forecasting Experience managing and growing technical talent Working Conditions & Travel Requirements Reliable internet access for any period of time working remotely, not in a Workiva office Up to 20% travel How You'll Be Rewarded Salary range in the US: $177,000.00 - $284,000.00 A discretionary bonus typically paid annually Restricted Stock Units granted at time of hire 401(k) match and comprehensive employee benefits package The salary range represents the low and high end of the salary range for this job in the US. Minimums and maximums may vary based on location. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience and other relevant factors. Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other protected characteristic. Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email talentacquisition@workiva.com. Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards. Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment. #LI-LP1

The Head of Data Science & AI at Global Payments is a transformative leadership position responsible for refining and scaling the company's data science and artificial intelligence (AI) function from the ground up. This leader will architect and deliver an AI-first ecosystem that integrates generative AI, machine learning, and orchestration to drive business value globally. The role encompasses strategy, platform development, talent acquisition, and the operationalization of AI solutions-balancing build, buy, and co-create approaches with technology partners. The Head of Data Science & AI will collaborate closely with business leaders to incubate, scale, and systematize use cases, ensuring that data-driven innovation is embedded across the organization. Key Responsibilities: ● Build & Lead the Data Science Organization ○ Refine and scale a world-class data science and AI function, including recruiting, mentoring, and developing a multidisciplinary team of data scientists, ML engineers, platform engineers, and product managers while fostering a culture of innovation and experimentation. ○ Define the vision, strategy, and roadmap for data science and AI initiatives aligned with Global Payments' business objectives. ● Platform Strategy & Delivery ○ Architect and oversee the development of holistic AI platforms/solutions that leverage data science, advanced analytics, machine learning, generative AI, and automation. ○ Evaluate and implement leading data science and AI platforms to accelerate model development, deployment, and monitoring. ○ Build robust data pipelines, feature engineering workflows, and model management infrastructure to support scalable, production-grade AI solutions ● GenAI Strategy: Build, Buy, Co-Create ○ Develop and execute a hybrid GenAI strategy, leveraging internal development, third-party solutions, and co-creation with strategic partners. ○ Drive the adoption of GenAI technologies, integrating them into existing products and creating new AI-powered offerings. ● Business Partnership & Use Case Incubation ○ Establish an operating model to engage business units, incubate high-impact AI use cases, and operationalize solutions at scale. ○ Define and track success metrics for AI initiatives, ensuring measurable business outcomes and ROI. ○ Champion data-driven decision-making and embed analytics into business processes. ● Governance, Security & Compliance ○ Partner with Data and AI Governance teams to ensure all data science and AI initiatives adhere to industry standards for data privacy, security, and regulatory compliance. ● Thought Leadership & External Engagement ○ Represent Global Payments in external forums, building relationships with technology partners, research institutions, and the broader AI community. ○ Stay abreast of emerging trends in AI, ML, and GenAI, and translate them into actionable strategies for the business. Required Experience & Skills: ● 10+ years' leadership in data science, AI/ML, and analytics within fintech, payments, or related sectors. ● Proven success building and scaling global data science teams and platforms. ● Deep expertise in machine learning, generative AI, feature engineering, model design, MLOps, and cloud-based AI infrastructure. ● Skilled at integrating data science applications into software products and working with data at scale and velocity. ● Strong ability to translate complex technical concepts into business value. ● Exceptional stakeholder management, communication, and influencing skills. ● Track record of scaling high-impact AI use cases through buy/build strategies. ● Effective player-coach: hands-on problem solver and team facilitator. ● Experienced in attracting, developing, and retaining top talent. ● Dynamic, forward-thinking leader with a bias for action, experimentation, and rapid execution.

We're defining what it means to build and deliver the most extraordinary sports and entertainment experiences. Our global team is trailblazing new markets, developing cutting-edge products, and shaping the future of responsible gaming. Here, "impossible" isn't part of our vocabulary. You'll face some of the toughest but most rewarding challenges of your career. They're worth it. Channeling your inner grit will accelerate your growth, help us win as a team, and create unforgettable moments for our customers. The Crown Is Yours Our team comprises algorithm experts and data science technologists, coming together to develop innovative data products that solve analytically challenging problems at DraftKings. Risk data science at DraftKings directly influences revenue, customer trust, and regulatory compliance. As a Senior Lead Data Science Engineer, Risk on this team, you're not just optimizing metrics-you're enabling safe play at scale. Your contributions will harden our defenses, reduce financial exposure, and support responsible platform growth. What you'll do as a Senior Lead Data Science Engineer, Risk Apply deep statistical reasoning and analytical creativity to detect, model, and counter evolving fraud patterns-where ground truth is ambiguous and adversaries adapt in real time Orchestrate end-to-end ML lifecycle planning across teams, with a focus on deeply analytical modeling approaches-ensuring solutions are mathematically grounded, interpretable, and resilient to adversarial manipulation. Design and implement scalable ML pipelines for real-time and batch environments, including robust testing, statistical validation, and data/application monitoring strategies to detect and mitigate adversarial behaviors such as payment abuse and stolen identities. Lead cross-functional technical strategy in how DraftKings builds, deploys, and maintains machine learning systems for fraud detection, trust, and identity verification, ensuring performance, scalability, and reliability across domains. Set the architectural and technical vision across teams, translating risk detection needs into measurable, production-ready outcomes-while shaping the future technical direction of our ML risk platform in close partnership with Risk Ops, Product, Legal, and Engineering. Drive process innovation in model development and evaluation, including backtesting frameworks, experimentation infrastructure, and system-level reporting to accelerate iteration and reduce model risk. Break down large, ambiguous initiatives into multi-team, technically executable plans, ensuring timely delivery across multiple sprints. Mentor senior engineers and technical leads across domains, setting modeling standards and fostering organizational excellence through scalable design reviews and capability-building. What you'll bring 8+ years of engineering experience, including 5+ years building and operating ML/AI systems at scale in production environments-especially in adversarial domains like fraud, risk, or abuse detection. Deep mastery of applied machine learning and statistical modeling, including the ability to formulate ambiguous problems with mathematical rigor and deliver accurate, interpretable solutions under real-world constraints. Exceptional critical thinking skills and a proven ability to design robust models in adversarial settings, where data is noisy, incomplete, or intentionally deceptive. Expert-level Python skills, with fluency in ML tooling and experience in other languages or frameworks that support scalable deployment. Hands-on experience with modern ML infrastructure and platforms, such as Databricks, Kubernetes, Terraform, Kafka, and MLflow. Track record of mentoring leads and scaling technical rigor across teams, coupled with high autonomy and the ability to drive cross-cutting strategic initiatives. Executive-level communication and influence, capable of aligning technical direction with cross-functional leadership across Legal, Risk Ops, Product, Compliance, and Engineering to deliver platform-wide outcomes. A commitment to continuous learning, with a passion for staying up to date on emerging ML technologies and fraud tactics in evolving risk landscapes. A Master's or PhD in a relevant field such as Computer Science, Statistics, or Mathematics is preferred. Join Our Team We're a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don't worry, we'll guide you through the process if this is relevant to your role. The US base salary range for this full-time position is 160,000.00 USD - 200,000.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific pay range and how that was determined during the hiring process. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron's progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets. Our challenge We are seeking a skilled Python Developer with a strong background in Artificial Intelligence, Machine Learning, and Data Science to join our innovative team. The ideal candidate will have extensive experience in developing production-grade NLP and NLG solutions, collaborating closely with data scientists, business analysts, and NLG teams to deliver impactful AI-powered applications. Candidate expertise will drive the development of scalable, efficient, and intelligent solutions across our platforms. Additional Information* The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Weehawken, NJ is $140k - $150k/year & benefits (see below). The Role Responsibilities: Develop, optimize, and maintain AI/ML models and NLP pipelines using Python, PyTorch, TensorFlow, and cloud platforms. Collaborate with data scientists, NLP specialists, and business teams to implement end-to-end production-grade Natural Language Generation (NLG) solutions. Handle large-scale text data processing, including tokenization, stemming, lemmatization, regex-based searches, and other text preprocessing techniques. Design and manage data storage solutions utilizing both relational and NoSQL databases, ensuring data integrity and performance. Build scalable backend services and APIs to support AI/ML applications and workflows. Implement efficient data pipelines for training, validation, and deployment of machine learning models. Stay updated with the latest developments in AI, ML, NLP, and cloud technologies, applying best practices to projects. Write clean, modular, and well-documented code following industry standards and CI/CD practices. Troubleshoot, optimize, and improve existing AI/ML workflows for better accuracy and performance. Requirements: Proven experience in Python programming with a strong understanding of AI/ML frameworks such as PyTorch and TensorFlow. Hands-on experience working with cloud platforms (AWS, Azure, GCP). Deep understanding of NLP concepts, techniques, and preprocessing steps including regex searches, tokenization, stemming, lemmatization, and large-scale text processing. Strong knowledge of relational databases (MySQL, PostgreSQL, etc.) and NoSQL databases (MongoDB, DynamoDB, etc.). Experience in deploying AI/ML models into production environments. Good communication skills to work effectively with cross-functional teams including data scientists, business analysts, and software engineers. Solid problem-solving skills and ability to optimize workflows for scalability and performance. Preferred, but not required: Experience with large language models (Transformers, GPT, BERT). Familiarity with NLP libraries such as spaCy, NLTK, or Gensim. Experience working on NLG projects, including dialogue systems or content generation. Knowledge of containerization and orchestration tools like Docker and Kubernetes. We offer: A highly competitive compensation and benefits package. A multinational organization with 58 offices in 21 countries and the possibility to work abroad. 10 days of paid annual leave (plus sick leave and national holidays). Maternity & paternity leave plans. A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region). Retirement savings plans. A higher education certification policy. Commuter benefits (varies by region). Extensive training opportunities, focused on skills, substantive knowledge, and personal development. On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses. Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups. Cutting edge projects at the world's leading tier-one banks, financial institutions and insurance firms. A flat and approachable organization. A truly diverse, fun-loving, and global work culture. SYNECHRON'S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative 'Same Difference' is committed to fostering an inclusive culture - promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. Candidate Application Notice

The Chan Zuckerberg Initiative was founded by Priscilla Chan and Mark Zuckerberg in 2015 to help solve some of society's toughest challenges - from eradicating disease and improving education to addressing the needs of our local communities. Our mission is to build a more inclusive, just, and healthy future for everyone. The Team CZI supports the science and technology that will make it possible to help scientists cure, prevent, or manage all diseases by the end of this century. While this may seem like an audacious goal, in the last 100 years, biomedical science has made tremendous strides in understanding biological systems, advancing human health, and treating disease. Achieving our mission will only be possible if scientists are able to better understand human biology. To that end, we have identified four grand challenges that will unlock the mysteries of the cell and how cells interact within systems - paving the way for new discoveries that will change medicine in the decades that follow: Building an AI-based virtual cell model to predict and understand cellular behavior Developing state-of-the-art imaging systems to observe living cells in action Instrumenting tissues to better understand inflammation, a key driver of many diseases Engineering and harnessing the immune system for early detection, prevention, and treatment of disease CZI's work in science includes grantmaking programs, open-source software development, and close collaboration with the Chan Zuckerberg Biohub Network. The CZ Biohub Network includes the San Francisco, Chicago, and New York Biohubs as well as the Chan Zuckerberg Imaging Institute. CZI also collaborates with institutional partners like the Kempner Institute for the Study of Natural & Artificial Intelligence at Harvard University. Join us in accelerating science. The Opportunity As a Senior Data Scientist, you'll lead the creation of groundbreaking datasets that power our scientific grand challenge to instrument tissues to understand inflammation-a cutting-edge initiative to determine the role of inflammation in disease and the molecular mechanisms through which it acts. Working at the intersection of data science, biology, and AI, your work will focus on mass spectrometry, spanning proteomics, metabolomics, and mass spectrometry imaging data. You will define data needs, format standards, analysis approaches and quality metrics and build pipelines to ingest, transform, and validate data products that form the foundation of our experiments. Our Data Ecosystem: These efforts will form a part of, and interoperate with CZI's larger data ecosystem. We are generating unprecedented scientific datasets that drive biological innovation: Billions of standardized cells of single-cell transcriptomic data, with a focus on measuring genetic and environmental perturbations 10s of thousands of donor-matched DNA & RNA samples 10s PBs-scale static and dynamic imaging datasets 100s TBs-scale mass spectrometry datasets Diverse, large multi-modal biological datasets that enable biological bridges across measurement types and facilitate multi-modal model training to define how cells act. When analysis of a dataset is complete, you will help publish it through public resources like CELLxGENE Discover and the CryoET Portal, used by tens of thousands of scientists monthly to advance understanding of genetic variants, disease risk, drug toxicities, and therapeutic discovery. Your Impact You'll collaborate with cross-functional teams to lead dataset definition, ingestion, transformation, and delivery for AI modeling and experimental analysis. Success means delivering high-quality, usable datasets that directly address modeling challenges and accelerate scientific progress. Join us in building the data foundation that will transform our understanding of human biology and move us along the path to curing, preventing, and managing all disease. What You'll Do Contribute the tools required for a robust data ecosystem: build mass spec data ingestion pipelines, select data formats, standards, and database schemas, and write validation tools, QC approaches, and analysis pipelines. Collaborate with Platform Scientists, ML engineers, AI Researchers, and Data Engineers to iteratively evaluate, refine and grow datasets to improve our biological understanding of inflammation. Work closely with Platform Scientists to identify technical variables and devise approaches to harmonize data across generation sites to enable joint analysis. Discover and define new data generation opportunities, and manage the delivery of those data products to our scientific teams. What You'll Bring 10+ years of experience with large scale mass spectrometry (proteomics, metabolomics, mass spectrometry imaging). Demonstrated ability to deliver multiple large biological data products. Experience with big data: extraction, transport, loading, databases, standardization, validation, QC, and analysis. Experience with processing and orchestration pipelines, such as Argo Workflows, Databricks Strong fundamentals in statistical reasoning and machine learning. Experience with biological data analysis and QC best practices Excellent written and verbal communication skills. Enthusiasm to ramp up on technologies and learn new domains. Experience working in a multidisciplinary environment (scientific platforms, engineering, product, AI Research). Compensation The Chicago, Illinois base pay range for this role is $162,000.00 - $222,200.00. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. Pay ranges outside Redwood City are adjusted based on cost of labor in each respective geographical market. Your recruiter can share more about the specific pay range for your location during the hiring process. Benefits for the Whole You We're thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible. CZI provides a generous employer match on employee 401(k) contributions to support planning for the future. Annual benefit for employees that can be used most meaningfully for them and their families, such as housing, student loan repayment, childcare, commuter costs, or other life needs. CZI Life of Service Gifts are awarded to employees to "live the mission" and support the causes closest to them. Paid time off to volunteer at an organization of your choice. Funding for select family-forming benefits. Relocation support for employees who need assistance moving to the Bay Area And more! If you're interested in a role but your previous experience doesn't perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role. Explore our work modes, benefits, and interview process at www.chanzuckerberg.com/careers. #LI-Onsite

Who We Are Arrive Logistics is a leading transportation and technology company in North America, with plans to continue to significantly grow year over year. Our success is a testament to our remarkable team and what we are building together. We're committed to providing employees with a meaningful work experience and have established an award-winning culture that supports personal and career development in a fun, casual, and collaborative environment. There has never been a more exciting time to get on board, so read on to learn more and apply today! Who We Want We're seeking an experienced and visionary Head of Data Science to join our technology leadership team. This is a pivotal role where you'll not only refine our data science strategy and spearhead innovation but also play a critical role in shaping our overall data strategy, influencing the future of our data infrastructure, and enhancing our data visualization capabilities for scalable growth. Arrive boasts an outstanding data foundation. The logistics industry is rich with market data, and we've built a proprietary platform for operations, instrumentation, and internal data collection. At Arrive, data-driven decisions, automation, and innovation are paramount. In this leadership role, you'll collaborate extensively with various teams across the technology group and the wider business. What You'll Do Develop and champion strategic data initiatives that directly align with quarterly and annual business objectives. You'll coordinate product and feature launches, foster the growth of your team, and serve as a senior leader within the Technology organization, articulating our holistic vision, strategy, and roadmap. Build upon and evolve Arrive's data science function and strategy, positioning us at the forefront of the industry. Collaborate closely with stakeholders across the organization to identify and solve complex business challenges, leveraging data to uncover and exploit new opportunities. Lead the creation of sophisticated data models that drive strategic initiatives and are seamlessly integrated into our products, delivering daily insights and automation to thousands of users. Continuously seek new and impactful ways to utilize Arrive's vast data assets for the benefit of our customers, always ensuring end-user privacy and security. Partner with the Engineering team to define and optimize our data infrastructure, and work with the Solutions group to enhance data visualization and utilization. Serve as an integral part of the technology leadership team, collaborating closely with Product Management and Engineering to drive integrated solutions. Strategize and create cutting-edge models and capabilities in areas such as supply chain forecasting, pricing, NLP for automation, and people forecasting, making our vision of "empowering the ambitious" through software and data a reality. Lead Arrive's entire data science function. This includes understanding the needs of various teams, establishing an optimal team structure, and designing end-to-end workflows to best serve those needs. Take ownership of developing, estimating, and executing a data science roadmap, consistently measuring and testing for quantitative success and continuous improvements. Build, lead, manage, and mentor a high-performing team of skilled data scientists, empowering them to proactively lead iteration cycles with stakeholders and advance according to the team's vision and business goals. Actively gauge fluctuations in the needs of relevant teams across Arrive and strategically hire new team members to scale the function effectively. Maintain highly effective communication and responsiveness within your team and with stakeholders across the company, adeptly managing a large volume of ongoing projects. Collaboratively partner with Arrive's internal teams, customers, carriers, and the broader freight logistics technology ecosystem to ensure seamless operations and foster strong relationships. Possess the ability to consider long-term sustainability in all data science decisions, with a keen eye for scalability and maintainability, while balancing future ideals with short and medium-term needs. Exhibit strong communication skills, effectively championing the best ideas and advocating for your beliefs with integrity and respect. Qualifications 5+ years in data analytics and quantitative modeling as a hands-on technical contributor. 3-5 years of relevant industry experience is a MUST (freight brokerage, logistics, supply chain, B2B pricing. 5+ years of leadership/management experience, leading a team deeply embedded in multiple functions of the business. Excellent educational background in a quantitative field, such as Operations Research, Economics/Econometrics, Forecast/Planning, Data Science/Machine Learning. Proficiency in SQL, Python, R, Spark, and familiarity with code and programming concepts. Experience with big data architectures, data modeling, ETL, and building large-scale data processing pipelines. Knowledge of deep learning, optimization, casual interference, and Agile methodologies. Excellent ability to translate complex technical concepts to non-technical audiences and vice-versa. A strategic, hands-on leader who simplifies complex problems and balances long-term vision with short-term needs. Proactive, self-starting, collaborative, and driven to personally own and complete critical initiatives. Supervisory Responsibility This position will supervise a team of Data Scientists within the Technology organization The Perks of Working With Us Take advantage of excellent benefits, including medical, dental, vision, life, and disability coverage. Invest in your future with our matching 401(k) program. Build relationships and take part in learning opportunities through our Employee Resource Groups. Enjoy office wide engagement activities, team events, happy hours and more! Leave the suit and tie at home; our dress code is casual. Work in the heart of downtown Chicago, IL! There are CTA and L train stops walking distance from the office and you can store your bike safely inside of the building. Sweat it out at the LifeStart gym in our office building that includes brand new Peloton bikes, top-of-the-line equipment and personal training options. Maximize your wellness with free counseling sessions through our Employee Assistance Program Get paid to work with your friends through our Referral Program! Take time to manage your physical and mental health - we offer company paid holidays, paid vacation time and wellness days. Receive 100% paid parental leave when you become a new parent. Get relocation assistance! If you are not local to the area, we offer relocation packages. $200,000 - $300,000 a year The base salary range for this position is $200K - $300K, plus bonus and benefits. The range displayed on each job posting reflects the pay range for the position across all locations. Within the range, individual pay is determined based on work location, job-related skills, experience, relevant education or training. Your Arrive Experience When we say "award-winning culture," we mean it. We've been recognized as a top workplace by Inc. Fast Company, Fortune, and earned Top Workplaces and Great Place to Work, to name a few. We intend on topping many more of those lists in the years to come, but we're not in it for the trophies. We're committed to culture because it keeps us connected to each other and invested in our shared success while having a blast along the way. Our employee-founded resource groups create communities within Arrive's walls, including Women in Logistics, Emerging Professionals, Prisms, Black Logistics Group, Salute and Unidos. Notice: To ensure a safe and transparent interview process, we want to note that Arrive Logistics adheres to strict recruitment practices. Candidates undergo an interview process, and Arrive Logistics does not provide unsolicited job offers. If you have concerns about receiving a fraudulent offer, please contact talentacquisition@arrivelogistics.com for verification.

About Axtria Axtria is a global provider of data analytics, software, and consulting services for the Life Sciences and Pharmaceutical industry. With 3,700+ employees and clients in over 30 countries, Axtria empowers life sciences organizations to drive commercial success and improve patient outcomes. Since our founding in 2010, Axtria has differentiated itself through technology innovation. Our cloud-native platforms—Axtria DataMax™, InsightsMax™, SalesIQ™, MarketingIQ™, and CustomerIQ™—enable seamless integration of data science and AI across commercial operations, supporting functions from sales planning to omnichannel engagement. Role Summary As a GenAI/Data Science Leader, you will drive high-impact AI/ML strategy and delivery across commercial, medical, and clinical domains for top global pharma clients. This Executive-track role blends strategic client advisory, revenue generation, and team leadership. You’ll design and implement cutting-edge GenAI, predictive modeling, NLP, and experimentation pipelines using Axtria platforms—delivering measurable business impact and improved patient outcomes. Key Responsibilities Client & Delivery Leadership Lead complex, high-value data science engagements across commercial and medical domains. Architect GenAI, causal inference, NLP, and predictive models using Axtria’s platforms. Solve critical problems across the stakeholder journey, e.g., GTM strategy, omnichannel orchestration, patient support. Ensure delivery governance, scientific rigor, and business value realization. Business Growth Drive $1M+ in annual new revenue through client expansion, solution selling, and platform cross-sell. Identify whitespace opportunities and influence go-to-market strategies in AI and data science. Strategic Advisory & Thought Leadership Serve as trusted advisor to VP/CXO-level stakeholders; shape AI/ML Data Science strategy and analytics transformation. Lead workshops, develop industry points-of-view, and contribute to thought leadership through whitepapers, conferences, and publications. Contribute reusable IP, agent libraries, and GenAI asset kits aligned with commercial, medical and clinical domains. Team & Capability Building Build, lead, and mentor global data science teams. Attract and retain top talent while establishing learning agendas and knowledge assets. Foster a culture of scientific excellence, reusability, and ethical AI. Experience & Skills: 18+ years in data science, analytics, or AI consulting with a focus on life sciences or healthcare. Deep domain expertise in commercial pharma analytics, RWE/HEOR, field force optimization, and patient-level data. Advanced technical skills in GenAI (LLMs, RAG), causal modeling, NLP, and predictive modeling (Python, R, SQL). Cloud deployment expertise (AWS, Azure, GCP), MLOps, and data governance experience. Executive presence; proven ability to lead $1M+ client engagements and consultative sales cycles. Strong leadership and mentoring track record with global delivery teams. Education: Master’s or PhD in Data Science, Biostatistics, Computer Science, Epidemiology, Public Health, or related field. Why Join Axtria Platform-Led Innovation: Deliver integrated solutions via proprietary platforms like SalesIQ™, InsightsMax™, CustomerIQ™, etc. Career Growth: Entrepreneurial environment with strong leadership exposure and Partner-track potential. Industry Impact: Serve 100+ global life sciences clients, including 16 of the top 20 pharma companies. Ethical AI Leadership: Join a team driving responsible GenAI innovation across the life sciences value chain. Additional Details Hybrid work model (3 days onsite) Boston, MA or client. Competitive compensation, performance-based bonus, 401(k) with company match, health benefits, and PTO. Axtria is an EEO/AA employer. All qualified applicants will receive consideration without regard to race, gender identity, religion, national origin, disability, veteran status, or other protected characteristics. #LI-MHT1 Powered by JazzHR

Summary: Quadax, an award-winning leader in healthcare revenue cycle technology, is seeking a Data Science Analyst to join our Team and help us create the best Revenue Cycle Optimization solution in the industry. You’ll use your knowledge of healthcare revenue cycle business objectives to identify necessary data (SQL, Excel, Snowflake), apply appropriate analytics (BI tools, Azure Foundry) and derive strategic insights to achieve the desired business benefits. You’ll work closely with product managers, other data scientists, engineers, and business analysts to ensure clear definition of all requirements and translating them into value. You’ll leverage data insights to optimize the revenue cycle product design and user experience of our Platform. We use PowerBI for visualization, Snowflake for data management & sharing, and Azure Foundry for all modeling. Local candidates preferred. Open to remote employees ONLY in: OH (if residence is outside a reasonably commutable distance), PA, MI, IN, KY, WV, WI, AL TN, GA, FL, TX, MO, SD, NC. Responsibilities: Ability to analyze complex data sets and create actionable insights Uses knowledge of business objectives, strategies, and needs to identify opportunities where data can be leveraged to achieve the desired business benefits Understands current data context, processes and availability, and how current data processes and existing data can be leveraged to achieve the desired benefits Prepares and analyzes data. This can include - locating, profiling, cleansing, extracting, mapping, importing, transforming, validating, or modeling Applies query, data exploration and transformation, basic statistical methods, and visualization techniques to create business insights or improve data quality Performs validation and testing to confirm the accuracy of the information created Interprets results of analyses, identifies trends, and issues, and develops recommendations to support business objectives Communicates complex information so that it is easy to understand and influences others to take action based on the useful information provided Facilitate the design and development of product features Interview subject matter experts, customers, and other stakeholders to identify and clarify requirements Establish rapport with stakeholders and ensure that their questions and concerns are clearly documented Present on-time delivery of requirements and user stories/specifications Support the creation and maintenance of project documentation Write user stories, technical requirements for projects including complex business rules, logic flow diagrams, conditional logic, use cases and specific workflows Qualifications: Healthcare revenue cycle experience with hospitals, providers, and/or other healthcare delivery organizations 2+ years of experience working in Data Science Professional experience with, and more than a basic understanding of AI technology Proficient in building process flow diagrams and data mapping Experience with agile development and software development life cycle (SDLC) processes Proficiency with SQL programming Extensive experience working in a BI environment and familiarity with data warehouses Extensive experience in gathering and documenting business requirements Strong business acumen and data analysis skills and the ability to identify customer needs, analyze them against available solutions, and identify gaps Interprets and presents data analysis results including explanation of statistical and financial techniques used, assumptions made and summary of results Excellent written and verbal communication skills

About the Role: CloudZero is pioneering the Cloud Cost Intelligence category, building the world's first Cloud Economics Operating System. We're transforming how cloud-driven companies connect engineering decisions to business outcomes in real-time. This is a strategic scale-up role. You'll take our AI research and experimentation to the next level, transforming early prototypes into production systems that define the market. We've built a strong foundation with experiments in time series anomaly detection, GenAI applications, and cost attribution - now we need a hands-on leader to evolve these early innovations into customer-facing products. You'll tackle genuinely hard problems that will define the future of FinOps: Real-time Unit Economics: Calculate per-unit costs across millions of transactions with dynamic efficiency management. Predictive Cost Intelligence: Predict and prevent cost efficiency breaches before they impact business. Multi-Cloud Attribution: Accurately attribute cloud spend across complex systems using probabilistic modeling. Autonomous Optimization: Build AI agents that make safe infrastructure changes within business constraints. Responsibilities: Technical Leadership & Hands-On Development Lead by example: spend 60-70% of your time building, architecting, and solving technical problems. Prototype novel ML/AI research ideas, and help translate them into production-ready systems that handle enterprise scale. Build AI-powered features (in partnership with product/engineering teams) for cost optimization, anomaly detection, and predictive analytics. Establish technical standards and development processes for AI/ML systems. People Leadership & Cross-Functional Collaboration Hire and develop a small team of AI/ML specialists Provide hands-on coaching and technical guidance to team members Foster a culture of innovation, continuous learning, and customer focus Lead by example in technical decision-making and problem-solving approach Partner closely with engineering teams to embed AI throughout the platform Translate complex AI concepts into business value for executives and customers Drive AI strategy alignment with company vision and product roadmap Represent CloudZero's AI capabilities in customer conversations and industry events Qualifications: 8+ years in Data Science or ML Engineering at high-growth SaaS companies, building and deploying impactful production systems. Holds a degree in Computer Science, Statistics, or a related technical field. Hands-on technical leader with experience mentoring, coaching, and hiring data and ML talent. Fluent across the modern data science stack — data pipelines, modeling, deployment, and monitoring. Proven experience with time series modeling, forecasting, and anomaly detection systems. Skilled in Python and comfortable with cloud ML tools like SageMaker, Bedrock, and related infrastructure. Experience integrating GenAI/LLM systems into production use cases, with a realistic understanding of their strengths and challenges. Excellent communicator — able to explain technical concepts clearly to non-technical and executive stakeholders. Pragmatic and impact-driven — prioritizes simplicity, customer value, and speed over complexity. Stays current with research but thrives in environments where innovation translates quickly into customer outcomes. Please note: CloudZero is unable to sponsor employment visas or provide immigration-related support now or in the future. All candidates must have current, unrestricted authorization to work in the United States permanently.

Play an integral role in the development of an ML ops framework for cyber incident detection. This is a project with high visibility that seeks to revolutionize cyber hunting. The role is multifaceted and will enable the contractor to strengthen and broaden skills in the areas of data engineering, ML, and cyber threat hunting and pen testing.

About Palm Venture Studios Palm Venture Studios (Palm) is a single-family-office-backed venture studio with a national footprint, headquartered in Greenwich CT. As a venture studio we both acquire early stage distressed companies or assets and seed new startup companies that will be both good businesses and create positive impact for society. We are a team of entrepreneurs and operators that partner with mission-driven founders to give their companies rescue capital and expertise, and build new companies from scratch. About Gentoro Gentoro is an innovation-driven B2B software startup dedicated to empowering enterprises to harness the full potential of Generative AI. Our mission is to enable businesses to effortlessly develop, deploy, and manage AI Agents with cutting-edge solutions that interact with enterprise ecosystems, safely and securely. As the creators of Gentoro, the groundbreaking Model Context Protocol (MCP)-based LLM-to-Enterprise Bridge, we are redefining how AI Agents integrate into enterprise ecosystems. By harnessing the latest advancements in Generative AI, our innovative no-code solution seamlessly, safely, and securely extends the transformative power of Large Language Models (LLMs) to enterprises. If you’re passionate about the transformative power of Generative AI to solve real-world business challenges, thrive in a collaborative and fast-paced environment, and aspire to be part of a category leading product, we want you on our team! Join us as a foundational engineer and play a pivotal role in creating cutting-edge AI-powered products for the future. Role Overview  As the Chief AI & Data Scientist, you will lead the strategy, development, and deployment of our AI and data science initiatives. You will work closely with the rest of the engineering team to ensure our AI solutions deliver measurable value to our customers and competitive advantages for Gentoro. This is a leadership role that combines hands-on expertise with strategic oversight, driving innovation in generative AI and machine learning.    Responsibilities:  Strategic Leadership: Define and execute the AI and data strategy aligned with the company's vision and goals.   R&D Oversight: Lead research and development in generative AI, machine learning, NLP, and data analytics to create state-of-the-art solutions.   Product Innovation: Collaborate with product teams to identify and implement AI-driven features and capabilities.   Enterprise Integration: Drive initiatives to integrate AI solutions seamlessly with enterprise systems and complimentary vendor solutions.   Thought Leadership: Represent the company at industry conferences, contribute to publications, and foster partnerships with academic and research institutions.  Requirements Education: Ph.D. or Masters in Computer Science, AI, Data Science, or related field.   5 + years of professional experience in AI or data science roles in the industry. Experience with enterprise AI development, deployments and integrations technologies  Proficiency in B2B software development in Java, Python, and related technologies Familiarity with LangChain, LamaIndexing or similar AI Agent Development frameworks.   Working knowledge of MLOps, data engineering, and cloud platforms (AWS, GCP, Azure).    Soft Skills: Excellent communication, problem-solving, and decision-making abilities.   Why Join Us? Be a Pioneer: Join us at the ground level of a well positioned, visionary startup. Be part of a passionate, driven team shaping the future of Generative AI and leaving a lasting impact on the industry.   Shape the Future with CuttingEdge Tech: Work on revolutionary technology, pushing the boundaries of innovation and creativity.  Competitive Compensation with a Stake in Success: Enjoy a competitive salary paired with earlystage equity, giving you a direct stake in the company’s success and a chance to grow alongside us.   Work Your Way: Thrive in a flexible work environment tailored to your needs—choose between remote, hybrid, or onsite arrangements that work best for you.   Invest in Yourself: Unlock opportunities for professional growth, continuous learning, and career development in a supportive, innovation-focused culture.  Futureproof your career by building expertise in one of the most transformative fields of our time.   Join us to create, innovate, and grow in a place where your ideas truly matter.

Worth is seeking an experienced and visionary Director of Data Science to lead the development and deployment of machine learning and statistical modeling solutions that drive business impact across our organization. This individual will guide a team of data scientists and partner with cross-functional stakeholders to build scalable, production-grade models for both analytical and product applications. The ideal candidate brings a strong foundation in predictive modeling, statistical analysis, and machine learning, with proven leadership experience in building data science teams and influencing strategic decisions. Expertise in areas such as NLP, computer vision, or reinforcement learning is highly desirable. This role requires exceptional communication skills and the ability to distill complex insights into clear, actionable recommendations for executive audiences. Responsibilities Lead, mentor, and scale a high-performing team of data scientists while fostering a culture of innovation, collaboration, and continuous learning. Oversee the end-to-end development of machine learning models—design, training, validation, and deployment—within cloud-based production environments. Partner with product, engineering, and business teams to identify opportunities for data science solutions, define success metrics, and deliver measurable impact. Drive the integration of large-scale data systems and pipelines to power intelligent, adaptive models that reflect changing customer, market, and business dynamics. Ensure rigorous model monitoring, governance, and retraining protocols to maintain accuracy, fairness, and compliance. Communicate technical results and strategic insights clearly and persuasively to senior leadership and non-technical stakeholders. Champion the adoption of advanced analytics tools, frameworks, and best practices across the company. Requirements Bachelor’s degree and 8+ years of professional experience, or Master’s degree and 6+ years, or PhD and 4+ years, in a quantitative field such as Computer Science, Statistics, Applied Mathematics, or Engineering. Proven leadership experience managing data science or machine learning teams in fast-paced, agile environments. Deep expertise in statistical modeling and machine learning techniques (e.g., regression, time series, clustering, ensemble methods, simulation, NLP, deep learning, etc.). Hands-on proficiency in Python and SQL; familiarity with R or other languages is a plus. Practical experience with ML libraries and frameworks such as Scikit-learn, TensorFlow, Keras, PyTorch, Statsmodels, NumPy, and SciPy. Strong understanding of data architecture and MLOps practices in cloud environments such as AWS, Azure, or GCP. Excellent data storytelling and executive communication skills; confident in building and delivering compelling visual presentations (e.g., Tableau, PowerBI). Deep understanding of Agile methodologies such as Scrum or Kanban. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance Unlimited Paid Time Off 9 paid Holidays Family Leave Work From Home Free Food & Snacks (Access to Industrious Co-working Membership!) Wellness Resources

This position is posted by Jobgether on behalf of ASU Enterprise Partners. We are currently looking for a Student Assistant, Data Science in United States. This hands-on role offers a unique opportunity for a student to apply their data science knowledge in a real-world setting, working on prescriptive and predictive data products that drive impactful decisions. You’ll engage with large datasets, build models, and deploy solutions using tools like Python, BigQuery, and Vertex AI. Whether you’re interested in data exploration or operationalizing models, this role allows you to work alongside experienced professionals in a collaborative and dynamic environment — all while contributing to measurable business outcomes. Accountabilities: Contribute to the development and deployment of data products including dashboards, predictive models, and LLM-based applications. Explore and analyze complex datasets to uncover patterns and support experimentation. Design and implement applied solutions that deliver tangible business value. Assist in deploying and maintaining scalable, reliable data solutions in production environments. Collaborate with the data science team to align work with stakeholder goals. Leverage tools like Python, SQL, BigQuery, Vertex AI, and Colab Enterprise. Monitor performance of deployed solutions and support iterative improvements. Clearly communicate findings and recommendations via reports and visualizations. Requirements Currently enrolled in a Bachelor's, Master’s, or Graduate program in a quantitative or technical field (e.g., Computer Science, Mathematics, Statistics, Neuroscience). Familiarity with Python, SQL, and notebook-based workflows (e.g., Jupyter or Colab). Understanding of core data science techniques such as regression, classification, and deep learning. Exposure to concepts of MLOps, DevOps, or deploying data solutions in cloud environments. Strong analytical and problem-solving skills, with a willingness to learn new tools and concepts. Effective communication skills for both technical and non-technical audiences. Collaborative mindset with a constructive approach to feedback. Preferred: internship or project experience in data science or engineering; familiarity with GCP tools (e.g., Vertex AI, BigQuery ML), GA4 data, and real-world application of LLMs. Benefits Hybrid work schedule (work-from-home on Mondays and Fridays). $30 bi-weekly cell phone reimbursement. Hands-on experience with real projects and tools. Personalized professional development plans. Networking opportunities with organizational leaders and peers. Access to 8,000+ LinkedIn Learning courses. Workshops to strengthen professional skills. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1

McColm & Company (McColm) is a mission-driven and customer-focused consulting firm that equips change makers with the knowledge, skills, and insights they need to succeed in an increasingly complex world. McColm specializes in supporting U.S. federal customers with national security, military, law enforcement, and foreign affairs portfolios by managing bespoke professional training programs, delivering effective education and training support solutions, and providing highly specialized technical assistance and analysis expertise to decision makers.  McColm & Company is seeking 4 qualified STEM Tutors to provide academic tutoring to U.S. Coast Guard Academy cadets. Tutors will support mathematics, data analysis/programming, science (chemistry or physics), and engineering courses for the Fall 2025, Spring 2026, and Summer 2026 semesters. The roles are part-time, Sunday through Thursday evenings (7:00 PM – 10:00 PM), and will be performed onsite in New London, CT. These positions are contingent upon contract award. Successful candidates will provide individual and group tutoring sessions for undergraduate-level STEM courses, including: Mathematics: Pre-Calculus, Calculus I & II, Probability and Statistics (non-calculus based). Data Analysis and Computing: Data Visualization, Programming Principles, Tools for Business Intelligence (Python and Microsoft Suite). Science: Chemistry I (Fall) and Physics I (Spring). Engineering: Statics. Please ensure your cover letter and/or resume clearly identify which subject area you have expertise in tutoring when applying. Tutoring Schedule is anticipated to be: Fall 2025: Sept 1 – Dec 19 (no tutoring Nov 24–28) Spring 2026: Jan 19 – May 7 (no tutoring Mar 7–15) Summer 2026: May 11 – July 24 (Mathematics only). It is not required that 1 candidate be available to teach full hours for an entire semester. Please indicate your general availability in your application (i.e. unavailable on Tuesdays, pre-planned vacation from Sept 4-10, etc). Additional Responsibilities include: Assist students in understanding course concepts, completing assignments, and preparing for quizzes and exams. Maintain detailed attendance records for all tutoring sessions. Provide feedback to instructors on student progress and flag at-risk students. Ensure continuity of support , coordinating with McColm and USCGA to reschedule or arrange coverage if absent. Adhere to all DHS/USCGA site policies , including security, conduct, and identification requirements. Requirements Education: Bachelor’s degree required; advanced degree preferred in the subject area tutored (Mathematics, Data Science/Programming, Chemistry, Physics, Engineering). Experience: Minimum 1 year of teaching or tutoring experience in a higher education setting . Skills: Strong communication and interpersonal skills. Ability to explain complex STEM concepts clearly and effectively. Proficiency in Microsoft Suite and Python (for data analysis tutors). Other Requirements: Ability to pass a background check and obtain site clearance. Ability to perform work on site in New London, CT at US Coast Guard Academy facilities, as required. Fluency in English (read, write, speak). Professional demeanor, punctuality, and commitment to academic success of cadets. McColm & Company is an equal opportunity employer offering employment without regard to race, color, religion, sex, age, sexual orientation, national origin, citizenship, gender identity or expression, disability status, or any other characteristic protected by federal, state or local laws. Due to the high volume of applications McColm receives and to ensure we comply with our internal hiring policies, we regret we are not able to respond to individual phone calls or emails regarding application statu

Job Description Adjunct Professor - Data Science Department: School of Computing and Data Science Location: Wentworth Institute of Technology Wentworth Institute of Technology is seeking adjunct professors to teach undergraduate and graduate courses in Data Science. We are dedicated to fostering educational excellence and preparing students for success in their fields. Position Summary: Adjunct professors are responsible for delivering course materials in a learner-centered environment, engaging students in the learning process, and supporting their academic success. Responsibilities include developing and teaching a range of courses, from introductory undergraduate classes to advanced graduate-level courses in Data Science. Key Responsibilities: Prepare syllabi and develop curricula to meet course requirements and student learning outcomes. Deliver engaging and effective instruction. Provide timely and constructive feedback on assignments and exams. Submit midterm and final grades, attendance records, and other required reports. Communicate consistently with students, faculty, and administrators. Required Qualifications: Master’s degree in Data Science, Computer Science, or a related field. Teaching experience in a relevant subject area. Preferred Qualifications: PhD in Data Science or a related field. Experience teaching diverse student populations. Familiarity with online and remote teaching tools. Application Process: To apply, please submit a letter of interest and resume. Applications will be reviewed on a rolling basis until the positions are filled. Wentworth Institute of Technology is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Inclusive Excellence at Wentworth Wentworth Institute of Technology is committed to diversity, equity, and inclusion in all University programs and activities. The University does not discriminate based on race, color, national origin, sex, sexual orientation, religion, disability, age, genetic information, gender identity, veteran status or any other category protected by law. All qualified applicants will receive consideration. To find out more about the Wentworth’s commitment to Diversity, Equity and Inclusion, please visit the website https://wit.edu/about/diversity . All applicants have the right to accessibility support and accommodations. To request accessibility support or accommodations, contact the Executive Director of Equity and Compliance, Catlin Wells, at wellsc1@wit.edu .