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PENN Entertainment, Inc. is North America’s leading provider of integrated entertainment, sports content, and casino gaming experiences. From casinos and racetracks to online gaming, sports betting and entertainment content, we deliver the experiences people want, how and where they want them. We’re always on the lookout for those who are passionate about creating and delivering cutting-edge online gaming and sports media products. Whether it’s through ESPN BET , Hollywood Casino, theScore Bet Sportsbook & Casino , or theScore media app, we’re excited to push the boundaries of what’s possible. These state-of-the-art platforms are powered by proprietary in-house technology, a key component of PENN’s omnichannel gaming and entertainment strategy. When you join PENN Entertainment’s digital team, you’ll not only work on these cutting-edge platforms through theScore and PENN Interactive, but you’ll also be part of a company that truly cares about your career growth. We’re committed to supporting you as you expand your skills and explore new opportunities. With locations throughout North America, you can build a future at PENN Entertainment wherever you are. If you want to challenge conventions in gaming, media and entertainment, we want to talk to you. About the Role & Team We are looking for a Data Science Manager to lead a team of data scientists The Data Science team here at Penn is responsible for building models, forecasts, and simulations to help improve theScore Bet and ESPN Bet products. Our team values creativity, collaboration, ingenuity, and ownership. We are looking for someone who is interested in joining a team building and enhancing an industry leading football (NFL / NCAAFB) model for theScore Bet and ESPNBet football product. This position is a rare opportunity enabling a highly motivated candidate to make a significant impact on an enterprise grade football data product. About the Work Help identify and prioritize impactful data science projects as well define goals & objectives for the team. Manage and mentor team members as they progress through their career progression journey. Own decisions for Data Science project prioritization, roadmap, workflows, tooling, integrations, modeling techniques, algorithm, deliverables, etc. Subject Matter Expertise: Be the football subject matter expert for your teamto ensure data-driven solutions are in-line with sport-specific best practices Betting Expertise: Knowledge of the sports betting industry and demonstrated experience using football data to solve pricing problems Machine learning & statistical modeling: we want to be able to predict the likelihood or expected outcome of various events across different sports. Predictive & Prescriptive Analytics: we want to share in-depth knowledge on how our features are working and our forecasts are performing. Own relationships & touchpoints with primary stakeholders for each project in flight / on the roadmap & in production. Responsible for monitoring stability and accuracy of data science projects in production. Interact regularly department leaders; proactively initiate ideas to improve services or products; contribute to department or group objectives, strategy and priorities. Partner cross functionally with key executive leaders within the organization to leverage data in new and innovative ways to drive actionable insights and business value. Develop best practices for our internal data processes that include model building, modeling techniques, improved latency and readability. Design and build new predictive models and optimization routines that have an enterprise level impact. This varies from modeling expected sporting outcomes at an event level to utilizing various game state data to simulate full spectrums of expected outcomes. Write and maintain technical design and git/confluence documentation. Other duties as required. About You Expert-level skills in solving quantitative problems with NFL and/or NCAAFB data & using sports data to solve pricing problems. A passion for sports and sports betting A Strong grasp of sports betting terminology, the sports betting industry, and betting specific data sources A deep understanding of utilizing sport-specific problem-solving techniques to model various elements of the game. A deep understanding of utilizing player and ball tracking data and enriched NFL and/or NCAAFB play-by-play data to solve football problems and how to utilize model predictions to augment various forecasts. Knowledge of best practices in dynamically projecting various aspects of player and team performance. Strong grasp on the fundamentals of simulation modeling and latency reduction techniques. Previous experience leading a team either in football or in the sports betting industry Previous experience scaling an NFL and/or NCAAFB data product that provided demonstrable value Excellent written, communication, organization, and presentation skills. The ability to lead, mentor, and efficiently run a team of data scientists. Excellent critical thinking skills to enhance problem-solving techniques, ensure data products are incredibly resilient, and the ability to identify potential edge-cases Experience with being provided a high-level long-term objective and leading a team of data scientists to provide a solution. Experience working cross-functionally with engineering teams and provisioning services using GitHub. Strong experience with traditional DS tools and frameworks such as SQL, Pandas, Numpy, SKLearn etc. Experience with any of Docker, Kubernetes with Terraform, Cloudwatch. Experience with DAG orchestration tools suchs as Argo Workflows, Step Functions, Cloud Fucntions, Dagster, Airflow, etc. Significant experience with AWS/GCP. Nice to Have Familiarity with MLFlow. Experience setting up ML CI/CD pipelines, testing and validating code/data, managing databases, and deploying models. Experience with SKLearn, Tensorflow, PyTorch, Caffe, and/or Keras. Previous experience working in sports other than the NFL or NCAAFB What We Offer Competitive compensation package Education and conference reimbursements Parental leave Opportunities for career progression and mentoring others #LI-REMOTE Salary Range $150,000 — $200,000 USD Initial placement within the salary range is based on an individual's relevant knowledge, skills, and experience. Base salary is just one component of our competitive Total Rewards package, which includes wellness programs designed to support our team members' financial, physical, and mental well-being. Specific benefits—such as day-one medical coverage, 401(k) matching, annual performance bonus and equity package — depending on position. Paid time off is earned according to the local policy and increases with the length of employment. Click  HERE to discover how we empower team members to grow, thrive, and advance in their careers.  Check out our LinkedIn page!

At PrizePicks, we are the fastest-growing sports company in North America, as recognized by Inc. 5000. As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues, including the NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 450 employees thrives in an inclusive culture that values individuals from diverse backgrounds, regardless of their level of sports fandom. Ready to reimagine the DFS industry together? What you’ll do: Own pricing and risk strategy for our fantasy markets, balancing competitiveness and profitability. Lead and grow a high-performing team of pricing analysts and data scientists. Oversee the development and deployment of pricing models across major sports and esports (NBA, NFL, CS2, etc). Partner cross-functionally with Product, Engineering, and BizOps to launch and optimize pricing initiatives. Guide experimentation around payout structures, hold targets, and win rate optimization to drive engagement and margin. Maintain and evolve frameworks for pricing accuracy, risk exposure monitoring, and market health. Ensure data integrity and modeling quality across all pricing efforts. What you have: 5+ years of experience in sports betting, fantasy, or related gaming industries, ideally with exposure to pricing, trading, or risk management. Strong technical foundation in data science, statistics, or software engineering. Demonstrated management experience — leading, mentoring, and scaling high-output teams. Proficiency in SQL and Python or R; experience with simulation-based modeling and statistical optimization techniques. Deep understanding of how sports and/or esports markets are structured and modeled. Proven track record of driving complex projects from ideation through launch in a fast-paced environment. Strong communicator who thrives at the intersection of data, product, and operations. Where you’ll live: While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates. #LI-Remote Working at PrizePicks: The typical salary range for this position is $145,000 to $195,000. At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges. The compensation info you see on our job postings gives you an idea of the starting pay range for the position. Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education. Your recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process. This application period will remain open for 30 days. We’re committed to finding the best candidate, so this date may be adjusted, and any changes will be reflected in this posting. Date Posted: 7/2/2025 Benefits you’ll receive: In addition to your great compensation package, full-time employees will be eligible for the following perks: Company-subsidized medical, dental, & vision plans 401(k) plan with company match Annual bonus Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!) Generous paid leave programs, including 16-week paid parental leave and disability benefits Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked Company-wide in-person events and team outings Lifestyle enhancement program Company equipment provided (Windows & Mac options) Annual performance reviews with opportunities for growth and career development You must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. PrizePicks is an Equal Opportunity Employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

TelevisaUnivision is the leading Spanish-language media company in the world! We’re investing in our content, our people, and our properties, which span digital, streaming, social, audio, linear and live events. We’re growing our offerings, building on the launch of our successful streaming platform ViX. TelevisaUnivision is seeking a Director of Data Science, Personalization and Product Analytics to join our Enterprise Data Science team. The Enterprise Data Science team serves as the data science hub for the organization, providing access and insights to our business leaders as they both develop new services and optimize existing services. This team is responsible for building and enhancing largescale and high-performance systems to organize and store data from multiple platforms and conducting advanced statistical analyses to help optimize the experience for our digital audience. This team also develops key data assets for the company, including the TelevisaUnivision Household Graph, personalization and lifecycle propensity algorithms for ViX, lookalike modeling capabilities, proprietary customer segments, and manages relationships with key partners to improve UCI data assets and enable new data-driven services. The Director of Data Science, Personalization and Product Analytics will be responsible for leading and developing the team driving personalization and advanced analytics efforts for ViX, the largest Spanishlanguage streaming platform in the world. This individual will guide development of the recommendation engine that powers many experiences on the ViX app, lifecycle propensity models that score users based on different behaviors (churn/upgrade/resubscription likelihood), and advanced analyses of ViX consumers as they traverse the ViX app, leveraging assets including the household graph and other proprietary data products to arrive at defensible, data-driven recommendations for product improvement. You are expected to be a player-coach, with an equal amount of time spent on hands-on technical work and mentoring junior colleagues. This role reports into the Head of Data Science. YOUR DAY-TO-DAY: • Manage, grow, and motivate a team of data scientists • Be a technical leader and go-to expert for tactics and technical strategy for all things personalization • Maintain and improve the recommendation engine powering ViX, our direct-to-consumer streaming platform • Maintain, improve, and increase the usage of lifecycle propensity models leveraged by the ViX product and marketing teams • Own the buildout, maintenance, and enhancements around our customer profile • Execute deep-dive analyses that are priorities for the ViX operations organization • Facilitate data-driven and informed decision making and prioritization • Develop strong cross-functional partnerships across ViX and the broader TelevisaUnivision organization to drive team success • Drive outstanding performance for the Personalization and Product Analytics pod YOU HAVE: • 3+ years of experience with team leadership or team management • 6+ years of experience with data science • Experience building customer-facing personalization/recommendation solutions in a prior role • Demonstrated use and understanding of statistical analysis • Expert level proficiency in Python • Expert level proficiency in SQL • Expert level proficiency with at least one cloud architecture service (GCP/AWS/Azure) • Bachelor’s degree in a broadly quantitative field • Experience conducting analyses to drive business impact • Experience communicating effectively with business leaders and cross-functional stakeholders of different disciplines • Experience managing multiple projects and deadlines in a fast-paced environment with minimal guidance Desired Skills, Qualifications and Experience • Experience building and deploying recommendation engines for a D2C ((preferably video streaming) app • Experience doing deep product analytics work for a D2C (preferably video streaming) app • Extensive experience with Google Cloud Platform, leveraging Vertex AI and Google BigTable • Advanced (M.S./Ph.D.) degree in a broadly quantitative field • Experience with large data sets and data warehouse environments (Big Query/Snowflake) • Ability to thrive in a high pressure and rapidly changing, less structured environment • Ability to multi-task, meet deadlines, and maintain focus and confidentiality • Strong relationship building ability • Excellent written and verbal communication skills • Full professional proficiency in English and either professional Spanish proficiency or the desire to become proficient in Spanish • Has knowledge of and actively consumes TelevisaUnivision content is a plus! ELIGIBILITY REQUIREMENTS • Must be willing to work in the US • Employment/education will be verified • Applicants must be currently authorized to work in the United States on a full-time basis OUR BENEFITS: TelevisaUnivision believes that a happy, well-balanced employee is what makes our culture thrive. We offer a wide selection of perks and benefits including PTO; tuition reimbursement; wellness and employee support programs; 401K; and life and other insurance plans. This is all in addition to our comprehensive and competitive health benefits package featuring medical, dental and vision coverage options. Exact compensation may vary based on skills, experience, and location. Please note the national salary range listed in the job posting reflects the new hire salary range across levels and U.S. locations that would be applicable to the position. Salary Range: $158,000 - $210,000 + benefits TelevisaUnivision is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to characteristics protected by law.

About our Team : LexisNexis Legal & Professional, serving customers in over 150 countries with 11,800 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. Our company is a leader in deploying AI and advanced technologies to improve productivity and transform the legal market. We prioritize using the best models from today's top creators for each legal use case. About LexisNexis Data Sciences: At LexisNexis, we're redefining legal intelligence through advanced AI. Our teams harness the power of large language models (LLMs) , retrieval-augmented generation (RAG) , and agentic systems to build tools that analyze, draft, and reason with legal text. Join us in building AI systems that help legal professionals move faster, think deeper, and operate with confidence. Role Overview: We are seeking a Senior Manager of Data Science to lead a high-impact team focused on building intelligent systems powered by LLMs and RAG architectures . This role centers on delivering AI agents that generate legal documents , interpret contracts , and autonomously execute multi-step tasks across complex legal workflows. You’ll drive the strategy, technical execution, and team growth necessary to build next-generation legal assistants—capable of grounded reasoning, contextual document drafting, and interaction with structured and unstructured data sources. Key Responsibilities: Vision & Strategy: Define the roadmap for applying LLMs and agentic AI to real-world legal drafting, summarization, and task automation challenges. Evangelize and embed AI-driven change across legal product platforms. Translate evolving generative AI capabilities into tangible customer value within the legal domain. Technical & Product Leadership: Architect systems that combine foundation models with RAG pipelines to draft contracts, memos, and pleadings grounded in enterprise knowledge. Guide the development of AI agents that perform multi-step reasoning, cite evidence, retrieve domain-specific content, and produce compliant outputs. Lead evaluation of model performance for generation, summarization, classification, and dialogue-based workflows with legal constraints in mind. Build scalable prompt engineering frameworks and manage fine-tuning or adaptation of models to legal datasets. Team & Operational Excellence: Mentor and grow a multidisciplinary team of LLM-focused Data Scientists and ML Engineers. Drive cross-functional collaboration with Legal SMEs, Data Engineers, Product Managers, and Design. Establish best practices for evaluation, observability, and responsible use of generative AI. Oversee development of infrastructure to support continuous delivery and monitoring of LLM systems in production environments. Core Qualifications: Experience Previous people management experience (3+ years) of teams building LLM-based applications , especially in domains requiring rigor and traceability like legal, finance, or compliance. Hands-on experience delivering systems using LangChain , LLM agent frameworks , vector databases , and prompt orchestration pipelines . Strong background in deploying retrieval-augmented generation (RAG) systems for grounded and auditable responses. Demonstrated success in taking LLM-powered applications from prototype to production. Technical Proficiency Proficient with Python and LLM tooling: LangChain, HuggingFace Transformers, OpenAI APIs, and prompt tuning techniques. Familiarity with vector databases (e.g., Solr, Elasticsearch, Qdrant, Weaviate), knowledge graphs, and hybrid retrieval architectures. Working knowledge of containerization (Docker, Kubernetes), CI/CD, and model serving tools (TorchServe, Triton, Ray Serve). Cloud infrastructure experience on AWS, Azure, or GCP. Preferred Background Graduate degree in Computer Science, AI, Machine Learning, or equivalent experience. 10 years of post-degree experience, with 4+ years in a data science or applied AI leadership role, with a focus on NLP/LLM systems. Prior experience in legal tech, legal AI, or document-intensive domains is highly desirable. Familiarity with ethical/legal considerations in deploying generative AI in professional settings. Work in a way that works for you : We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive Working for you : We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity Family Benefits, including bonding and family care leaves, adoption, and surrogacy benefits Health Savings, Health Care, Dependent Care and Commuter Spending Accounts Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice About the Business : LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy . We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights .

DS position on a team in C323 supporting a project that leverages advanced AI techniques, including natural language processing, computer vision, and machine learning. The project streamlines the analysis of engineering documents, performs comprehensive system decomposition, and identifies potential vulnerabilities. The framework provides a holistic approach to understanding, managing, mitigating cybersecurity risks, but integrating mission and system decomposition, software bill of materials analysis, and enriching vulnerability discovery capabilities.

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. S​ YNECHRON’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

Are you a data science expert eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of analytical discovery. With high‑quality training data, tomorrow’s AI can democratize world‑class education, keep pace with emerging technologies, and streamline data-driven decision-making for professionals everywhere. That training data begins with you—we need your expertise to help power the next generation of AI. We’re looking for data science specialists who live and breathe machine learning, statistical modeling, data engineering, data visualization, natural language processing, time series analysis, deep learning, and algorithm development. You’ll challenge advanced language models on topics like supervised learning, unsupervised clustering, regression techniques, model evaluation metrics, feature engineering, anomaly detection, and real-world data pipelines—documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on project scenarios and theoretical data science questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A master’s or PhD in data science, computer science, statistics, or a closely related field is ideal; peer‑reviewed publications, industry projects, experience with cloud platforms, or open-source contributions signal fit. Clear, metacognitive communication—“showing your work”—is essential. Ready to turn your data science expertise into the knowledge base for tomorrow’s AI? Apply today and start teaching the model that will teach the world. We offer a pay range of $8-to- $65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and high‑speed internet; company‑sponsored benefits such as health insurance and PTO do not apply. Job title: Data Science Specialist – AI Trainer Employment type: Contract Workplace type: Remote Seniority level: Mid‑Senior Level

Position Summary We are seeking a highly analytical and process-oriented Marketing Data Science Lead professional to join our dynamic marketing team. This role will report into the Revenue Strategy and Operations team. The ideal candidate will bridge the gap between marketing strategy and execution, leveraging data to optimize campaigns, streamline operations, and enhance overall marketing performance. Key Responsibilities Marketing Analytics: Develop, maintain, and automate marketing dashboards and reports that provide actionable insights into campaign performance, pipeline contribution, and ROI. Create data tables in Snowflake for marketing data from web sources. Analyze marketing data from various sources (CRM, marketing automation, web analytics, advertising platforms) to identify trends, opportunities, and areas for optimization. Conduct deep-dive analyses on specific campaigns, channels, and segments to understand their impact and inform future strategies. Define and track key marketing metrics (e.g., MQLs, SQLs, CAC, LTV, conversion rates, funnel velocity) and communicate performance to stakeholders. Collaborate with sales operations and finance teams to ensure alignment on reporting, data definitions, and attribution models. Forecast marketing performance and identify potential risks and opportunities based on data. Marketing Operations: Manage and optimize our marketing technology stack (e.g., Salesforce, Pardot, Outreach, Google Analytics, BI tools). Develop, implement, and optimize marketing processes, workflows, and best practices to improve efficiency and scalability. Ensure data integrity and cleanliness within marketing systems, including lead routing, lead scoring, and data enrichment. Oversee the implementation and maintenance of lead scoring models, nurturing programs, and segmentation strategies. Manage audience segmentation and targeting efforts to ensure effective delivery of marketing messages. Support campaign execution by providing technical assistance, list management, and performance tracking setup. Document marketing operations processes and provide training to marketing team members on system usage and best practices. Stay up-to-date with industry trends, marketing automation best practices, and new technologies. Qualifications Bachelor's degree in Marketing, Business, Statistics, Economics, Computer Science, or a related quantitative field. 5-7 years of experience in Marketing Analytics, Marketing Operations, Business Intelligence, or a similar role, preferably in a B2B SaaS environment. Strong proficiency with Marketing Automation Platforms (e.g., HubSpot, Marketo, Pardot). Proven experience with data visualization tools (e.g., Tableau, Power BI, Google Data Studio, Looker) and creating impactful dashboards. Experience with building underlying data tables in Snowflake. Excellent analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. Advanced Excel skills (e.g., pivot tables, VLOOKUPs, complex formulas). Solid understanding of marketing funnel mechanics, lead management processes, and sales & marketing alignment. Experience with SQL, R, or Python for data extraction and analysis is a strong plus. Familiarity with web analytics platforms (e.g., Google Analytics, Adobe Analytics). Strong project management skills and the ability to manage multiple priorities in a fast-paced environment. Exceptional communication and interpersonal skills, with the ability to translate complex data into clear, actionable insights for non-technical stakeholders. About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure. Compensation We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $170-210K OTE + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. This is a hybrid role based in the Bay Area. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy

About Attain Built for consumers and companies, alike. In a world driven by data, we believe consumers and businesses can coexist. Our founders had a vision to empower consumers to leverage their greatest asset—their data—in exchange for modern financial services. Built with this vision in mind, our platform allows consumers to access savings tools, earned wages and rewards without cost or hidden fees. In exchange, they give permission to use their real-time data for research, insights and targeted advertising. At Attain, your contribution will help us build a more equitable and efficient data sharing ecosystem—whether helping consumers access modern financial services or businesses leverage data to achieve better outcomes. You’ll have the opportunity to work directly with hands-on leaders and mission-driven individuals everyday. About the role Attain is seeking a Director of Consumer Data Science to support the growing needs of our suite of consumer mobile applications. You’ll own the application, maintenance, and evolution of advanced machine learning techniques to the cash-flow-based credit decisioning model that powers our earned wage advance product, Klover. You'll have boundless other opportunities to apply data science to improve business outcomes across our app portfolio: transaction categorization, paycheck detection, fraud scoring, churn prediction, and more. What a typical week might look like Hands-on contribution to the development of our the ML models at the core of our EWA product, driving for speedy and outstanding execution Lead by example and define best practices for robust and efficient machine learning service development that includes data processing, feature engineering, model development, model deployment, and in-production support, etc. Collaborate with a cross functional team of data analysts, engineers, product managers and business stakeholders to cost-effectively deliver advanced ML models with quality, efficiency and precision Identify new areas to apply data science models and algorithms to optimize the business Drive the consumer data science roadmap and priorities Preferred Qualifications  5+ years direct experience working as a Data Scientist on relevant business problems Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related field; advanced degree in a quantitative field (PhD preferred)  Strong expertise in developing and deploying machine learning models (especially credit decision models) in production Solid understanding of the underlying mathematical foundation of machine learning models Proficiency in Python Experience with cloud computing services or platform (GCP preferred) Strong SQL skills Familiarity with version control and peer code review systems Demonstrated ability to learn and embrace new technologies, applications, and approaches Willingness to roll up your sleeves and wear multiple hats across the data science team, based on the needs of the business Strong written and verbal communication skills and the ability to explain technical topics to both technical and non-technical audiences We’re excited to hear from you.  At Attain, we are passionate about finding people to continuously help us grow our organization. We encourage you to apply, even if your experience doesn’t match every detail of the job description. If we don’t see something that immediately fits, we will keep your resume on file for future opportunities.

August 2025 Start Ekimetrics is a leader in data science and AI solutions provider. Since 2006, we have been using data science to optimize marketing and business performance and the transition to more sustainable performance. If you are driven by the desire to "crack" the most complex business questions using data and AI, and you want to be an actor in your professional future, your place is surely at Ekimetrics! At Ekimetrics, we aim to help our clients rethink their business model by reconciling economic, environmental and social performance, thanks to data science. In our New York office, we focus primarily on Marketing Analytics and the deployment of our ‘MMO’ offer (Marketing Mix Optimization), leveraging both our analytics-as-a-service expertise and our own data and AI platforms. Our 400 experts with varied profiles (business, data, technology) and the use of our technological assets guarantee fluidity between strategy and execution. The result is faster delivery times and a tangible business impact. 📊Key figures about Ekimetrics · 400+ data science experts globally · 1000+ diverse projects & 350+ clients · 5 offices: Paris, Hong Kong, Shanghai, London and NY · UK data company of the year 2023 · Voted Great Place to Work 2023 · Microsoft’s sustainability partner · Voted as a leader in “Marketing Measurement & Optimization” by Forrester wave 2023 About the Role This role is perfect for recent graduates with previous internships under their belt or people early on in their career journey. As a Junior Consultant you will work with international blue-chip clients across diverse industries. As both a data scientist and consultant, you will use and develop advanced data analytics and consulting skills on your projects. From day one, you will join a team of three to six consultants and collaborate on one to two projects simultaneously. You will have a hand in projects from discovery meetings to final recommendation; responsibilities include gathering and analyzing data, building statistical models, translating quantitative insights into strategic recommendations, and delivering the final results. The projects will push you to create innovative approaches as an owner and you’ll present your results directly to C-suite clients and business executives. Our close-knit team will guide your growth to build expertise on best-practice methodologies and industry knowledge, working directly with Ekimetrics partners. Each member of our team takes a vested interest in the development of your technical skills and business acumen. Our team members continuously learn and grow through 70+ proprietary training sessions and collaboration with colleagues as coaches and mentors. Finally, the opportunity to work for a growing, international pioneer in data science, will empower you to have an immediate impact by contributing to our passionate team. Responsibilities: 1. Data Analysis and Model Construction - Utilize advanced statistical techniques and best data practices to help the team progress through project work - Develop a logical story combining data and industry knowledge to share actionable insights that will drive our clients' businesses 2. Strategic Partnerships with Clients - Liaise daily with clients to develop a deep understanding of their business context and experience - Deliver findings and battle plans with excellence and confidence - Provide ad-hoc analyses that further develop projects and client relationships by parameterizing the business questions 3. Ekimetrics Life - Support our fast growth by contributing to local and global initiatives such as Knowledge Management, Recruitment, Culture, Gender Balance and Diversity teams, Pioneering Machine Learning/AI techniques for the office, etc. Qualifications: We are looking for a talented, dual-profile consultant. Data Skills - Bachelor’s or Master’s degree (or equivalent) in Business Analytics, Statistics, Economics, Engineering or other related field, or a data science bootcamp. - Outstanding record of academic achievement. - 0-2 years of experience in Data Analysis / Modeling / Advanced Analytics - Passion for data, statistics or applied mathematics - Familiarity with modeling / optimization techniques - Completed projects using advanced analytical methodologies and/or statistics to answer business questions - Experience with statistical software such as Python (preferred) or R. Consulting Skills - Consulting experience or interest in working as a consultant - Strong interest in marketing & business issues - Exceptional written and oral communication skills - Ability to work collaboratively in a team setting - Self-driven and motivated to thrive in a fast-paced environment - Continuously striving for high performance - Spanish-speaking is a plus What we offer: At Ekimetrics, final base salary is determined by a multitude of factors and vary from candidate to candidate. Determining factors for base compensation include, but are not limited to, professional background, years of experience, and skillset. A reasonable estimate of the base salary for our NYC office is $75,000. In addition to this base salary, we have a comprehensive benefits package, generous bonus package, and a dynamic promotions and salary raise structure. - An emphasis on work-life-balance and 20 PTO days per year and holidays - Dynamic environment with a strong culture and great offices - Close-knit team with friendly environment, bi-monthly team events and more - Creative and entrepreneurial start-up environment with vertical and lateral mobility - Best-in-class methodologies and cutting-edge technologies - Unique internal training package with 70+ sessions in our Eki.Academy digital platform - Growth to develop a double profile in data science and strategic consulting - Client exposure up to the executive level - Opportunities for international mobility across our three other offices in Paris, London, and Hong Kong Position Type: Permanent Ekimetrics is an equal opportunity employer committed to making all employment decisions without regard to race/ethnicity, gender, pregnancy, gender identity or expression, color, creed, religion, national origin, age, disability, marital status (including domestic partnerships and civil unions), sexual orientation, military veteran status, unemployment status, or other legally protected categories, subject to applicable law. Please note that we do not offer visa sponsorship or transfer for this hire.

Many structural heart patients suffer from heart failure with limited options. Our Implantable Heart Failure Management (IHFM) team is at the forefront of addressing these unmet patient needs through pioneering technology that enables early, targeted therapeutic intervention. Our innovative solutions are not just transforming patient care but also creating a unique and exciting environment for our team members. It's our driving force to help patients live longer and healthier lives. Join us and be part of our inspiring journey. How you will make an impact: Looking for an enthusiastic and motivated manager for our growing Data Science Team. We have a constantly growing, unique and rich healthcare dataset and have big plans to leverage this for the betterment of our patients. Adopting a largely greenfield infrastructure & barebones group; build, mold & grow them into your ideal team. This is a very novel opportunity to lead the development of innovative solutions with massive impact on patients' daily lives. This is a people management role with the Data Science Manager tasked with building, leading and daily management of the Data Science team. This will encompass all aspects to ensure the success of the team in building new algorithms and models for internal use or deployed as product features for clinicians or patients. The manager will give direction, guidance and structure to the team while being at the center of hypothesis testing and experimentation. You will be empowered to deliver innovative, insightful & impactful features and projects. Additional Roles/Responsibilities: Hire, build and grow the data science team. Multiple expansion requisitions approved for FY'25 Manage, mentor and guide team members to excel at their roles. Build upon your own deep technical strengths to impart insight and guidance to the team. Contribute and constructively challenge technical proposals & requests. Handle team career development and annual reviews. Own the Data Science roadmap & project backlog. Use your project management skills to steer, manage and prioritize the Data Science Teams workload & projects. Aid distillation of complex technical approaches and progress into digestible presentations and updates to management & senior leadership. Liaise with immediate teams (Data Engineering, Data Analytics) and external groups to understand needs and requests while progressing your team's needs. Demonstrate good data governance practices and approaches equivalent to the risks and needs of the team. Ensure the highest levels of confidentiality and sensitivity for dealing with Patient Health Information [PHI] What you'll need (Required): Bachelor's Degree in Computer Science, Engineering, Biostatistics or Scientific field including either industry or industry/education- OR- Master's Degree or equivalent in Computer Science, Engineering, Biostatistics or Scientific field including either industry or industry/education- OR- Ph.D. or equivalent in Computer Science, Engineering, Biostatistics or Scientific field including either industry or industry/education Experience in technical leadership or management role Previous hands-on knowledge of mathematical principals, Statistics, Data Analytics and Data Science principles and their use with building models and insights What else we look for (Preferred): Experience as a Data Scientist, Statistician or other technical data related role strongly preferred Expert understanding of related aspects of machine learning, data science and artificial intelligence processes and/or systems Hands-on experience with working and analyzing clinical or patient data (an advantage) Demonstrated ability to manage one or more teams and provide coaching and feedback, including responsibility for all employee actions including hire/fire authority and partnering with HR on all aspects of employee relations (Experience leading Data Science, Data Analytics or Software Management teams is strongly preferred). Ability to develop and integrate metrics into the projects and operations that clearly demonstrate the value of machine learning, data science and artificial intelligence to the business Strict attention to detail Ability to interact professionally with all organizational levels Ability to work and excel within a fast paced, dynamic, and constantly changing work environment Ability to frequently interacts with internal and external management and senior-level stakeholders concerning projects, operational decisions, scheduling requirements, and/or contractual clarifications Ability to provide leadership and direction to cross-functional teams to successfully implement global enterprise systems and related solutions Adhere to all company rules and requirements (e.g., pandemic protocols, Environmental Health & Safety rules) and take adequate control measures in preventing injuries to themselves and others as well as to the protection of environment and prevention of pollution under their span of influence/control Aligning our overall business objectives with performance, we offer competitive salaries, performance-based incentives, and a wide variety of benefits programs to address the diverse individual needs of our employees and their families. For Illinois (IL), the base pay range for this position is $118,000 to $167,000 (highly experienced). The pay for the successful candidate will depend on various factors (e.g., qualifications, education, prior experience). Applications will be accepted while this position is posted on our Careers website. Edwards is an Equal Opportunity/Affirmative Action employer including protected Veterans and individuals with disabilities. COVID Vaccination Requirement Edwards is committed to protecting our vulnerable patients and the healthcare providers who are treating them. As such, all patient-facing and in-hospital positions require COVID-19 vaccination. If hired into a covered role, as a condition of employment, you will be required to submit proof that you have been vaccinated for COVID-19, unless you request and are granted a medical or religious accommodation for exemption from the vaccination requirement. This vaccination requirement does not apply in locations where it is prohibited by law to impose vaccination.

Every day, Global Payments makes it possible for millions of people to move money between buyers and sellers using our payments solutions for credit, debit, prepaid and merchant services. Our worldwide team helps over 3 million companies, more than 1,300 financial institutions and over 600 million cardholders grow with confidence and achieve amazing results. We are driven by our passion for success and we are proud to deliver best-in-class payment technology and software solutions. Join our dynamic team and make your mark on the payments technology landscape of tomorrow. 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. Global Payments Inc. is an equal opportunity employer. Global Payments provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex (including pregnancy), national origin, ancestry, age, marital status, sexual orientation, gender identity or expression, disability, veteran status, genetic information or any other basis protected by law. If you wish to request reasonable accommodations related to applying for employment or provide feedback about the accessibility of this website, please contact jobs@globalpay.com.

Starszy(-a) specjalista(-ka) ds. data science and engineering Country: Poland To masz na bank: umowa o pracę (pierwsza na 12 miesięcy), praca hybrydowa (częściowo w biurze w Poznaniu, ul. Kolorowa 8 i 10 (przy centrum handlowym King Cross) zespół/lider: Biuro Technologii Danych, Damian Bandosz cel: projektowanie i rozwój zaawansowanych algorytmów przetwarzania danych oraz rozwiązań opartych na sztucznej inteligencji (AI), ze szczególnym uwzględnieniem ich optymalizacji i skalowalności. Wskazywanie kierunków rozwoju technologicznego w obszarze Data & AI, w tym automatyzacja procesów przetwarzania danych oraz implementacja cyklicznych zadań ETL. Budowa mechanizmów oceny wartości danych pod kątem ich użyteczności biznesowej oraz rozwój narzędzi do zarządzania zadaniami i przepływami danych w środowiskach produkcyjnych. Jesteśmy bankiem z zapleczem technologicznym. W naszej centrali łączymy kilkanaście jednostek biznesowych. Choć jesteśmy zupełnie różni to mamy jeden cel - wszystko robimy na bank. Na co dzień tworzymy wspólnie zespół 9 osób. Mamy też możliwość integracji z innymi pracownikami np. dzięki ponad 20 Klubom Zainteresowań. Cenimy różnorodność wśród naszych pracowników. Wierzymy, że każdy, bez względu na indywidualne predyspozycje, może wnieść niepowtarzalną perspektywę do naszej firmy. Aplikuj, jeśli posiadasz: Wykształcenie wyższe na kierunkach powiązanych z informatyką/przetwarzaniem danych/statystyką. Praktyczną wiedzę i potwierdzone kompetencje w zakresie danych, nabywane i rozwijane w sposób ciągły, w okresie powyżej 2 lat: data engineering, data science, business intelligence, data analysis. Umiejętność analitycznego i algorytmicznego myślenia oraz syntezy informacji. Umiejętności wypracowywania rozwiązań technologicznych, prowadzenia projektów oraz koordynacji prac w ramach portfela zmian obszaru (waterfall/agile). Bardzo dobra znajomość języka Python, SQL oraz frameworków PyTorch lub TensorFlow, LangChain. Dobrą znajomość rozwiązań chmurowych (np. Microsoft Azure, Databricks, Salesforce) Znajomość i doświadczenie, nabywane i rozwijane w sposób ciągły, w okresie powyżej 2 lat: z bazami danych i SQL w pracy z MS Office, Power Query w pracy z językami programowania Python, DAX w projektowaniu i automatyzacji procesów zasileń: batch, ETL, strumieniowych (on-line), wykorzystaniu API w projektowaniu i rozwoju zaawansowanych algorytmów przetwarzania danych W pracy z modelami genAI Doświadczenie/współpraca w budowaniu modeli statystycznych (w tym predykcyjnych). Podejście "Can do", umiejętność rozwiązywania problemów i podejmowania decyzji' Doskonałe planowanie i organizacja pracy, nastawienie na jakość, dokładność i systematyczność. Umiejętność współpracy w Zespole oraz sprawnego komunikowania się w środowisku biznesowym oraz IT. Wysoką kulturę zawodową i osobistą. Umiejętność udzielania i otrzymywania feedbacku. Znajomość języka angielskiego w stopniu komunikatywnym. Mile widziane Doświadczenie z narzędziami BI (np. Power BI) Twoje zadania w tej roli: Prowadzenie i właścicielstwo kluczowych inicjatyw i projektów przetwarzania danych w Pionie Bankowości Biznesowej i Korporacyjnej. Tworzenie rozwiązań AI wspierających inicjatywy biznesowe Santander Bank Polska. Wprowadzanie i rekomendowanie rozwiązań i kierunków w przetwarzaniu danych. Identyfikacja brakujących danych, rekomendacje wykorzystania nowych źródeł danych, analiza dostępności i modelu zasilania. Integracja i wprowadzanie rozwiązań opartych o nowe źródła danych. Łączenie danych z różnych źródeł, przygotowanie danych i procesów dla jednostek w obszarze. Automatyzacja procesów wokół danych, tworzenie automatycznych zadań cyklicznych oraz rozwój mechanizmów zarządzania zadaniami. Stosowanie i dokumentowanie standardów przetwarzania - spójnych definicji oraz procesów. Dbałość o optymalne wykorzystanie narzędzi w obszarze danych. Przygotowanie, wskazywanie kierunków rozwoju oraz optymalizacja algorytmów przetwarzania danych. Kreowanie rozwiązań i ukierunkowanie prac mających na celu wycenę wartości danych pod kątem użyteczności biznesowej. Przygotowanie rozwiązań opartych o BI oraz genAI. Na bank zadbamy dla Ciebie o: umowę o pracę (pierwszą na 12 miesięcy), pracę w trybie hybrydowym w (lokalizacja na początku oferty), prywatną opiekę medyczną Medicover (z możliwością wykupienia pakietu stomatologicznego), system kafeteryjny z punktami do wymiany na aktywności, np. wypoczynkowe, kulturalne, gastronomiczne lub dofinansowanie do przedszkola/żłobka/klubu dziecięcego, kartę Multisport, ofertę produktową banku oraz pożyczki na pracowniczych warunkach, aktywności wellbeingowe, np. Kluby Zainteresowań, webinary, ćwiczenia, podcasty; inicjatywy w biurach np. mammobus, profilaktyczne badanie wzroku, warsztaty z samoobrony, wyprawkę dla dzieci, benefity dla osób z niepełnosprawnościami: dodatek finansowy na cele prozdrowotne, dodatkowe 2 dni urlopu dla pracowników z lekkim stopniem niepełnosprawności, całkowita praca zdalna, jeśli charakter pracy na to pozwala, platformę ze szkoleniami zewnętrznymi i wewnętrznymi - np. programowanie czy analiza danych lub komunikacja, podejście strategiczne, negocjacje i inne, program poleceń pracowniczych - nagrodę pieniężną za polecenie osoby do pracy w banku. Jak wygląda wdrożenie i rozwój? Na bank nie rzucimy Cię na głęboką wodę. Zaplanowaliśmy wdrożenie, które obejmować będzie wprowadzenie do organizacji, Twojej jednostki biznesowej i zadań. Na początku Twój przełożony pokaże Ci naszą kulturę organizacyjną i odpowie na wszystkie pytania. Dołącz do nas w kilku krokach. Wyślij CV do naszej analizy, a my podejmiemy decyzję czy zaprosimy Cię do kolejnego etapu. Spotkaj się (online) z rekruterem(-ką) i managerem(-ką). Wykonaj zadanie merytoryczne/test (w zależności od stanowiska). Pracuj z nami w naszym zespole! Po każdym z etapów rekrutacji otrzymasz od nas informację zwrotną, dostosowaną do jego poziomu zaawansowania. Po spotkaniach zaś wrócimy do Ciebie z kompleksowym podsumowaniem mailowym lub telefonicznym. Stosujemy najwyższe standardy zarządzania ryzykiem, dbamy o bezpieczeństwo naszych klientów i świadczonych usług

Job Description We are seeking a collaborative and experienced Associate Dean to support the academic and administrative leadership of the School. Reporting directly to the Dean, this role plays a critical part in advancing our teaching, research, and student success mission. The Associate Dean works closely with faculty, staff, and program directors to support curriculum development, faculty affairs, student advising, and school operations. This position also serves as a key liaison with university offices and represents the School when the Dean is unavailable. Key Responsibilities: Support faculty hiring, onboarding, development, and mentoring. Oversee curriculum processes, course scheduling, and program support. Lead student success initiatives, including advising, retention, and graduation review. Manage staff coordination, lab operations, and administrative support. Assist with strategic planning, budget planning, and accreditation efforts. Teach up to two courses per year. The ideal candidate will have strong leadership skills, experience in academic administration, and a passion for student-centered education. Minimum Requirements: Doctoral degree or equivalent terminal degree in Computer Science, Cybersecurity, Applied Mathematics, Mathematics, Data Science, Information Technology, or Education with a strong quantitative or computing focus, or a closely related field. Exceptional candidates with an ABD (All But Dissertation) status or a relevant Master's degree plus significant teaching or research experience will also be considered. 3+ years of administrative, leadership, or program management experience in higher education, government, nonprofit, or industry settings-preferably in roles involving curriculum oversight, faculty or staff management, or academic program coordination. 3+ years of teaching or instructional experience in a related discipline. This may include university teaching (adjunct, lecturer, or tenure-track), workforce training, curriculum development, online education, or professional workshops. Comprehensive knowledge and understanding of higher education and its challenges and opportunities Experience in serving students, management, and leadership Established record as an exceptional teacher and scholar or comparable professional achievement meriting the rank of an associate or full professor in an appropriate discipline. 3+ years academic administration experience in technical management fields Record of commitment to inclusive excellence. Preferred Requirements: Doctoral degree in Computer Science, Applied Mathematics, Mathematics, Data Science, Cybersecurity, Information Technology or Education. 5-8 years of experience in academic or program leadership within a university or equivalent organization. Experience in faculty supervision, accreditation processes, strategic planning, or cross-functional coordination is a plus. 5-8 years of teaching experience, ideally in higher education. Candidates with demonstrated instructional excellence, curriculum development, or mentorship in applied or interdisciplinary fields are strongly encouraged. Multidisciplinary/inter-disciplinary education Established record of working across academic or disciplinary units and programs Demonstrated knowledge of assessment and accreditation standards (ABET, NECHE, etc.) Demonstrated leadership, management, and time-management skills Demonstrated ability to work independently with professional discretion and judgment Demonstrated support for traditional and emergent technologies and the development of innovative, future-oriented curricula Strong organizational skills to balance multiple and simultaneous priorities Interest in student, faculty and staff well-being/collegiality Interpersonal skills that indicate a high level of professionalism, initiative, resourcefulness, and personal accountability We value diverse career paths and encourage applicants from industry, government, or interdisciplinary academic backgrounds who demonstrate commitment to teaching, innovation, and student success. Candidates who bring experience in inclusive pedagogy, emerging technologies, or cross-disciplinary collaboration are especially encouraged to apply. Be a part of a team shaping the future of higher education. Apply by sending a cover letter and CV to this posting. About Wentworth & the School of Computing and Data Science: Wentworth is an institution known as a university of opportunity with a high return on investment for its graduates. Our mission is to empower, inspire, and innovate through experiential learning and a student-centered approach to education. The School of Computing & Data Science consists of 30+ full-time faculty that offer undergraduate majors in Computer Science, Cybersecurity, IT, Data Science, and Applied Mathematics and graduate degrees in Computer Science, Data Science, and Cybersecurity. The school has teaching and research strengths in artificial intelligence, data science, cybersecurity, high-performance computing, mobile/web application development, stochastic processes, dynamical systems, financial math and modeling. In addition, members of the school have close collaborative relationships with faculty in sciences, humanities, and electrical and computer engineering, among others. Our faculty comprises individuals from wide-ranging backgrounds and experiences, where collaboration is highly encouraged and supported, and our School has no department boundaries. Another point of pride is that our faculty members include those with significant industrial, consulting, entrepreneurial, and project management experience. Inclusive Excellence at Wentworth Inclusive Excellence is one of the four pillars of the Strategic Plan. Actively and intentionally cultivating a diverse and culturally competent institution where each member has the opportunity and support to reach their full potential and make contributions to our campus community and beyond is Inclusive Excellence at Wentworth. To find out more about the Wentworth's commitment to Inclusive Excellence, please visit the website https://wit.edu/about/inclusive-excellence . 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. E-Verify for Employment Eligibility Verification (Form I-9) Wentworth participates in E-Verify. E-Verify is an internet-based system that compares information from your Form I-9 to records available to the U.S. Department of Homeland Security (DHS) and Social Security Administration (SSA) to confirm that you are authorized to work in the United States.

Lead AI Innovation Lead - Data Science Lab Overview Guardian is on a transformation journey to evolve into a modern, forward-thinking insurance company committed to enhancing the wellbeing of its customers and their families. As part of the Data & AI team, this role presents a distinctive opportunity to collaborate with the CDAO and the Head of Data Science, actively contributing to Guardian's ongoing evolution. Guardian's Data & AI team spearheads a culture of data insights across Guardian, facilitating the successful realization of our strategic initiatives. Our core activities encompass creating business value from our data and analytic products. Key responsibilities include data lifecycle management, insight development, and data product delivery. We are a team of data analysts, data product owners, data scientists and most importantly, data business leaders. Our solutions and actions are critical to Guardian's revenue growth, risk management and customer experience. Guardian created a Data Science Lab (DSL) to reimagine insurance in light of emerging technology, societal shifts, and evolving consumer needs. The DSL will expedite Guardian's transition to data-driven decision making and insight generation, fostering long-term innovation. The DSL will establish rapid testing capabilities for new technology and the translation of pioneering research into practical, enterprise-wide solutions. In this role as Managing Lead Data Scientist for the DSL, you'll be entrusted with the crucial task of managing the DSL and devising AI strategy for the Data Science team. Your responsibilities will include identifying new AI capabilities, coming up with solutions to scale the Data Science team, leveraging machine learning and artificial intelligence, to drive enterprise-wide innovation across various business lines and Guardian products. You'll collaborate with senior executives on high-impact high-visibility projects to deliver AI/ML solutions that will be market-tested and deployed to make a real difference to risk management and Guardian's overall financial performance. Successful candidates bring expertise in insurance and financial services, a passion for applying cutting-edge ML and AI insights, and the ability to design and implement data science capabilities that foster growth, competitive advantage, and customer satisfaction. Key Responsibilities Include: Leadership & Strategy Lead the Data Science Lab (DSL) by setting strategic direction, driving innovation, and ensuring alignment with Guardian Life's business goals and digital transformation initiatives. Manage and mentor a high-performing team of data scientists, fostering a culture of continuous learning, experimentation, and excellence. Monitor developments across the AI and data science community to position Guardian as a leader in responsible and effective AI adoption. Report and communicate progress, opportunities, and risks to executive stakeholders, delivering insights and recommendations in a clear, actionable manner. Innovation & Research Stay current with advancements in machine learning (ML), artificial intelligence (AI), and industry trends to identify and evaluate emerging capabilities and technologies. Collaborate with academic and industry partners to develop and test novel AI/ML methods and approaches. Introduce and apply ML/AI innovations to practical, high-impact opportunities across Guardian's business units. Create patentable technologies and methodologies that drive long-term innovation. AI/ML Development Build and lead experimentation efforts to validate the feasibility and impact of new data science techniques in real-world insurance use cases. Develop capabilities in Deep Learning, Large Language Models (LLMs), and Generative AI. Apply AI/ML to unstructured data sources such as insurance contracts, medical records, sales notes, and customer service logs. Deliver solutions that enhance underwriting risk assessment, claims auto-adjudication, and customer servicing. Operational Excellence Establish scalable processes, frameworks, and governance models for efficient and responsible AI/ML development, testing, and deployment. Assess and recommend cutting-edge tools, platforms, and technologies to enhance data science workflows and model lifecycle management. Actively participate in proof-of-concept evaluations of new data, software, and technologies. Collaboration & Integration Collaborate cross-functionally with business leaders, technology teams, and data professionals to translate business challenges into AI-driven solutions. Contribute to the standardization of data science tools, processes, and best practices across the enterprise. Function as the data science expert in internal and external meetings, including vendor engagements and industry conferences You are: You are passionate about cutting-edge technology and keen on applying new AI/ML algorithms and approaches. You are analytically driven, intellectually curious, and experienced leading the development and implementation of data and analytic solutions to solve challenging business problems. You enjoy leading and managing a team of data scientist to crack hard to solve problems with AI/ML and seeing it deployed in-market and generating value for Guardian. You enjoy collaborating with a multi-disciplinary team including data engineers, business analysts, software developers and functional business experts and business leaders. You have demonstrated track record of managing data science teams and working with business leaders. You have: PhD with 6+ years of experience, Master's degree with 8+ years of experience, or Bachelor's degree with 10+ years of experience in Computer Science, Engineering, Applied mathematics or related field 7+ years of hands-on ML modeling/development experience Extensive experience in deep learning models including Large Language Models (LLM) and Natural Language Processing (NLP) Hands-on experience with GPU, distributed computing and applying parallelism to ML solutions Strong programming skills in Python including PyTorch and/or Tensorflow Solid background in algorithms and a range of ML models Experience leading team of Data Scientist of four or more Excellent communication skills and ability to work and collaborating cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level Excellent analytical and problem-solving abilities with superb attention to detail Proven leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor/track performance for enterprise success Location: Three days a week at a Guardian office in New York, NY, Holmdel, NJ, Boston, MA, Stamford, CT, Pittsfield, MA or Bethlehem, PA Remote Candidates who can travel up to 20% of the time to our New York office will be considered. Salary Range: $148,940.00 - $244,685.00 The salary range reflected above is a good faith estimate of base pay for the primary location of the position. The salary for this position ultimately will be determined based on the education, experience, knowledge, and abilities of the successful candidate. In addition to salary, this role may also be eligible for annual, sales, or other incentive compensation. Our Promise At Guardian, you'll have the support and flexibility to achieve your professional and personal goals. Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards. Inspire Well-Being As part of Guardian's Purpose - to inspire well-being - we are committed to offering contemporary, supportive, flexible, and inclusive benefits and resources to our colleagues. Explore our company benefits at www.guardianlife.com/careers/corporate/benefits. Benefits apply to full-time eligible employees. Interns are not eligible for most Company benefits. Equal Employment Opportunity Guardian is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, race, color, creed, religion, sex, affectional or sexual orientation, national origin, ancestry, marital status, disability, military or veteran status, or any other classification protected by applicable law. Accommodations Guardian is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Guardian also provides reasonable accommodations to qualified job applicants (and employees) to accommodate the individual's known limitations related to pregnancy, childbirth, or related medical conditions, unless doing so would create an undue hardship. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact applicant_accommodation@glic.com. Current Guardian Colleagues: Please apply through the internal Jobs Hub in Workday.

Lead AI Innovation Lead - Data Science Lab Overview Guardian is on a transformation journey to evolve into a modern, forward-thinking insurance company committed to enhancing the wellbeing of its customers and their families. As part of the Data & AI team, this role presents a distinctive opportunity to collaborate with the CDAO and the Head of Data Science, actively contributing to Guardian's ongoing evolution. Guardian's Data & AI team spearheads a culture of data insights across Guardian, facilitating the successful realization of our strategic initiatives. Our core activities encompass creating business value from our data and analytic products. Key responsibilities include data lifecycle management, insight development, and data product delivery. We are a team of data analysts, data product owners, data scientists and most importantly, data business leaders. Our solutions and actions are critical to Guardian's revenue growth, risk management and customer experience. Guardian created a Data Science Lab (DSL) to reimagine insurance in light of emerging technology, societal shifts, and evolving consumer needs. The DSL will expedite Guardian's transition to data-driven decision making and insight generation, fostering long-term innovation. The DSL will establish rapid testing capabilities for new technology and the translation of pioneering research into practical, enterprise-wide solutions. In this role as Managing Lead Data Scientist for the DSL, you'll be entrusted with the crucial task of managing the DSL and devising AI strategy for the Data Science team. Your responsibilities will include identifying new AI capabilities, coming up with solutions to scale the Data Science team, leveraging machine learning and artificial intelligence, to drive enterprise-wide innovation across various business lines and Guardian products. You'll collaborate with senior executives on high-impact high-visibility projects to deliver AI/ML solutions that will be market-tested and deployed to make a real difference to risk management and Guardian's overall financial performance. Successful candidates bring expertise in insurance and financial services, a passion for applying cutting-edge ML and AI insights, and the ability to design and implement data science capabilities that foster growth, competitive advantage, and customer satisfaction. Key Responsibilities Include: Leadership & Strategy Lead the Data Science Lab (DSL) by setting strategic direction, driving innovation, and ensuring alignment with Guardian Life's business goals and digital transformation initiatives. Manage and mentor a high-performing team of data scientists, fostering a culture of continuous learning, experimentation, and excellence. Monitor developments across the AI and data science community to position Guardian as a leader in responsible and effective AI adoption. Report and communicate progress, opportunities, and risks to executive stakeholders, delivering insights and recommendations in a clear, actionable manner. Innovation & Research Stay current with advancements in machine learning (ML), artificial intelligence (AI), and industry trends to identify and evaluate emerging capabilities and technologies. Collaborate with academic and industry partners to develop and test novel AI/ML methods and approaches. Introduce and apply ML/AI innovations to practical, high-impact opportunities across Guardian's business units. Create patentable technologies and methodologies that drive long-term innovation. AI/ML Development Build and lead experimentation efforts to validate the feasibility and impact of new data science techniques in real-world insurance use cases. Develop capabilities in Deep Learning, Large Language Models (LLMs), and Generative AI. Apply AI/ML to unstructured data sources such as insurance contracts, medical records, sales notes, and customer service logs. Deliver solutions that enhance underwriting risk assessment, claims auto-adjudication, and customer servicing. Operational Excellence Establish scalable processes, frameworks, and governance models for efficient and responsible AI/ML development, testing, and deployment. Assess and recommend cutting-edge tools, platforms, and technologies to enhance data science workflows and model lifecycle management. Actively participate in proof-of-concept evaluations of new data, software, and technologies. Collaboration & Integration Collaborate cross-functionally with business leaders, technology teams, and data professionals to translate business challenges into AI-driven solutions. Contribute to the standardization of data science tools, processes, and best practices across the enterprise. Function as the data science expert in internal and external meetings, including vendor engagements and industry conferences You are: You are passionate about cutting-edge technology and keen on applying new AI/ML algorithms and approaches. You are analytically driven, intellectually curious, and experienced leading the development and implementation of data and analytic solutions to solve challenging business problems. You enjoy leading and managing a team of data scientist to crack hard to solve problems with AI/ML and seeing it deployed in-market and generating value for Guardian. You enjoy collaborating with a multi-disciplinary team including data engineers, business analysts, software developers and functional business experts and business leaders. You have demonstrated track record of managing data science teams and working with business leaders. You have: PhD with 6+ years of experience, Master's degree with 8+ years of experience, or Bachelor's degree with 10+ years of experience in Computer Science, Engineering, Applied mathematics or related field 7+ years of hands-on ML modeling/development experience Extensive experience in deep learning models including Large Language Models (LLM) and Natural Language Processing (NLP) Hands-on experience with GPU, distributed computing and applying parallelism to ML solutions Strong programming skills in Python including PyTorch and/or Tensorflow Solid background in algorithms and a range of ML models Experience leading team of Data Scientist of four or more Excellent communication skills and ability to work and collaborating cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level Excellent analytical and problem-solving abilities with superb attention to detail Proven leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor/track performance for enterprise success Location: Three days a week at a Guardian office in New York, NY, Holmdel, NJ, Boston, MA, Stamford, CT, Pittsfield, MA or Bethlehem, PA Remote Candidates who can travel up to 20% of the time to our New York office will be considered. Salary Range: $148,940.00 - $244,685.00 The salary range reflected above is a good faith estimate of base pay for the primary location of the position. The salary for this position ultimately will be determined based on the education, experience, knowledge, and abilities of the successful candidate. In addition to salary, this role may also be eligible for annual, sales, or other incentive compensation. Our Promise At Guardian, you'll have the support and flexibility to achieve your professional and personal goals. Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards. Inspire Well-Being As part of Guardian's Purpose - to inspire well-being - we are committed to offering contemporary, supportive, flexible, and inclusive benefits and resources to our colleagues. Explore our company benefits at www.guardianlife.com/careers/corporate/benefits. Benefits apply to full-time eligible employees. Interns are not eligible for most Company benefits. Equal Employment Opportunity Guardian is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, race, color, creed, religion, sex, affectional or sexual orientation, national origin, ancestry, marital status, disability, military or veteran status, or any other classification protected by applicable law. Accommodations Guardian is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Guardian also provides reasonable accommodations to qualified job applicants (and employees) to accommodate the individual's known limitations related to pregnancy, childbirth, or related medical conditions, unless doing so would create an undue hardship. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact applicant_accommodation@glic.com. Current Guardian Colleagues: Please apply through the internal Jobs Hub in Workday.

Overview Who we are Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Toyota. As one of the world's most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We're looking for talented team members who want to Dream. Do. Grow. with us. An important part of the Toyota family is Toyota Financial Services (TFS), the finance and insurance brand for Toyota and Lexus in North America. While TFS is a separate business entity, it is an essential part of this world-changing company- delivering on Toyota's vision to move people beyond what's possible. At TFS, you will help create best-in-class customer experience in an innovative, collaborative environment. To save time applying, Toyota does not offer sponsorship of job applicants for employment-based visas or any other work authorization for this position currently. This position is based at the Toyota Headquarters in Plano, TX with onsite work Monday-Thursday and remote work on Fridays Who We're Looking For Toyota Financial Services (TFS) seeks a dynamic and experienced Data Science Manager to drive data-driven innovation across our organization. The role offers the opportunity to lead strategic data science initiatives across multiple business domains, including Sales and Marketing, Credit Risk, Residual Value, Customer Management and Collections, Insurance. As an ideal candidate, you'll combine hands-on technical expertise with strong leadership abilities to guide both project outcomes and team development. What you'll be doing Technical Leadership: Spearhead the development of sophisticated predictive and prescriptive models that drive business value Establish and maintain data science best practices, methodologies, and quality standards Design and implement scalable data pipelines for extracting, transforming, and analyzing complex datasets Translate analytical insights into clear, actionable recommendations for senior leadership Regularly participate in code review and hold a high bar for code quality. Team Management: Build and mentor a high-performing team of data scientists, fostering their professional growth and technical capabilities Balance hands-on model development with strategic team leadership Drive project execution through both direct reports and cross-functional project teams Business Partnership: Partner with business leaders to identify high-impact opportunities for data science applications Present complex analytical findings to stakeholders at all levels of the organization Develop and execute data science strategies that align with TFS's business objectives Lead the evaluation and adoption of emerging data science technologies and methodologies Qualification Section What you bring Education & Experience Master's degree or higher in Statistics, Data Science, Computer Science, Mathematics, or related quantitative field At least 5 years of progressive experience in applied data science and analytics Demonstrated experience leading and mentoring junior data scientists and analysts Track record of successfully delivering complex data science projects in a business environment Technical Expertise Strong proficiency in Python and its data science ecosystem Extensive experience with modern machine learning frameworks including scikit-learn, PyTorch, and statsmodels Deep understanding of statistical and machine learning techniques. Experience with data manipulation, cleaning, and pipeline development Leadership & Soft Skills Proven ability to translate complex technical concepts into actionable business insights Strong problem-solving skills with a proactive approach to identifying opportunities Excellence in stakeholder management and cross-functional collaboration Outstanding written and verbal communication skills Added bonus if you have Ph.D. in Statistics, Mathematics, Economics, Computer Science, or related quantitative field Cloud Platform Expertise: Experience deploying and scaling machine learning models on cloud platforms (AWS SageMaker, Azure ML) Understanding of cloud-based data processing and storage solutions Knowledge of MLOps best practices and deployment workflows Strategic Leadership: Track record of successfully influencing and driving change across multiple departments Experience managing complex, cross-functional initiatives with competing priorities Ability to build consensus and align stakeholders around data science initiatives Technical Architecture: Experience modernizing legacy systems and processes Knowledge of data architecture principles and system integration Proven ability to design and implement scalable data science solutions What We'll Bring During your interview process, our team can fill you in on all the details of our industry-leading benefits and career development opportunities. A few highlights include: A work environment built on teamwork, flexibility and respect. Professional growth and development programs to help advance your career, as well as tuition reimbursement. Team Member Vehicle Purchase Discount Toyota Team Member Lease Vehicle Program (if applicable) Comprehensive health care and wellness plans for your entire family Toyota 401(k) Savings Plan featuring a company match, as well as an annual retirement contribution from Toyota regardless of whether you contribute. Paid holidays and paid time off Referral services related to prenatal services, adoption, childcare, schools and more. Tax Advantage Accounts (Health Savings Account, health Care FSA, Dependent Care FSA) Belonging at Toyota Our success begins and ends with our people. We embrace all perspectives and value unique human experiences. Respect for all is our North Star. Toyota is proud to have 10+ different Business Partnering Groups across 100 different North American chapter locations that support team members' efforts to dream, do and grow without questioning that they belong. Applicants for our positions are considered without regard to race, ethnicity, national origin, sex, sexual orientation, gender identity or expression, age, disability, religion, military or veteran status, or any other characteristics protected by law. Have a question, need assistance with your application or do you require any special accommodations? Please send an email to talent.acquisition@toyota.com.

Position at MTA Headquarters Department: MTAHQ - Strategic Initiatives Location: 2 Broadway, New York, NY 10004 Position Title: Data Science Intern - Ridership & Congestion Pricing Emerging Talent Intern Hourly Rate: $22.00 (Post-Graduate) OVERVIEW OF DEPARTMENT: The MTA Data and Analytics Team builds modern data infrastructure, owns the product experience of analytics within the MTA, manages our institution's Open Data Program, and tackles the agency's biggest data-driven challenges. RESPONSIBILITIES: Write code to clean, combine, and transform data generated from business operations Assist in data analyses to answer questions from MTA leadership Design and document algorithmic processes to carry out data transformations Incorporate quality checks in data processes to ensure sustainable accuracy Build Apache Airflow pipelines to deploy data processes as long-term, maintainable data pipelines Update existing data processes to manage input changes, address new business priorities, and improve maintainability Monitor the health of existing data pipelines, and help fix them if breakdowns occur Assist in the creation of presentation documents (e.g., PowerPoints) for presentation of data findings and products to MTA leadership and other MTA groups PROJECTS: Authoring analysis to quantify the near-term impacts of the MTA's Congestion Pricing program. Building data pipelines to synthesize insights from MTA Bus telematics hardware. Accelerating efforts to increase OMNY adoption and sunset MetroCard usage, bringing the MTA onto a single payment platform. REQUIRED QUALIFICATIONS: Proficiency in Microsoft Office Suite is a must. The candidate should possess organizational, analytical and communication skills. The candidate should be able to work well under pressure and prioritize tasks effectively. The candidate should have a keen eye for detail and be able to work independently while being an active team player. REQUIRED EDUCATION: Matriculated in an undergraduate program in good standing with at least 2.5 GPA AND/OR matriculated in a graduate program in good standing with at least 2.8 GPA Major(s) Preferred, but not required: Computer Science, Data Science, Transportation, Urban Science and Informatics, Economics, Statistics, or related field. All applicants must be authorized to work in the United States at the time of application. Students' transcript must be submitted. Equal Employment Opportunity MTA and its subsidiary and affiliated agencies are Equal Opportunity Employers, including with respect to veteran status and individuals with disabilities. The MTA encourages qualified applicants from diverse backgrounds, experiences, and abilities, including military service members, to apply.

Carrier Global Corporation, a global leader in intelligent climate and energy solutions, is committed to creating solutions that matter for people and our planet for generations to come. From the beginning, we've led in inventing new technologies and entirely new industries. Today, we continue to lead because we have a world-class, diverse workforce that puts the customer at the center of everything we do. For more information, visit corporate.carrier.com or follow Carrier on social media at @Carrier. Role Purpose: The successful candidate will have ownership of driving critical initiatives for analytics and data products, interfacing with our leadership team to align priorities, while providing guidance to the internal teams on analytics strategy and delivery. Additionally, the candidate will deliver end-to-end data and analytics solutions that will scale and empower our users to deliver on Carriers goals and mission. Ideal Candidate will be within a commutable distance of Carrier's office in Palm Beach Gardens, FL or Carrier's office in Atlanta, GA. Role Responsibilities: Define, develop, and maintain the product roadmap for analytics data products in alignment with business goals. Collaborate with stakeholders to gather requirements, define use cases, and prioritize features to maximize value. Act as a liaison between business and technical teams, translating business needs into technical solutions. Work closely with data engineers, data scientists, and BI developers to ensure accurate implementation of analytics solutions. Drive the integration of data analytics solutions into business processes, ensuring scalability and reliability. Monitor and evaluate product performance using KPIs, user feedback, and business impact metrics. Own the backlog for analytics and data-related products, ensuring that user stories are well-defined, prioritized, and executed efficiently. Basic Qualifications: Bachelors Degree 7+ years of experience in analytics, data, statistics, Machine Learning, and/or AI delivery roles Preferred Qualifications: Experience working with cloud-based data platforms such as AWS, Snowflake. Proficiency in data visualization tools (ex. Power BI) and SQL. Experience at large companies with complex data landscapes and scale. Experience delivering scalable analytics solutions, ideation through deployment. Experience leading teams and managing individual contributors. Data warehousing and data lake experience. Strong background in enterprise data and technology principles and best practices. #LI-Onsite RSRCAR Carrier is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. Carrier provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Job Applicant's Privacy Notice: Click on this link to read the Job Applicant's Privacy Notice