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General Summary The Data Science Engineering Intern T will work on project opportunities that are designed to develop professional work knowledge and the abilities to support the efforts and projects that have global importance to the success of the business. The work involves transforming information that currently lives in disconnected PDFs, spreadsheets, and other various forms into a searchable, intelligent metadata system to streamline Engineering analysis, and enable new ways for data analysis. With direction from experienced engineers and access to a collaborative technical team, this role will also work on a portfolio project that showcases technical depth and UX to architect internal enterprise ML that will accelerate innovation cycles. Specific Duties and Responsibilities Under the supervision of an assigned engineer or experienced designee, the Data Science Engineering Intern T will: Architect and build a smart, structured metadata layer that enables faster, more accurate access to quality control data. Develop AI/ML tools that identify and tag important data attributes-such as supplier names, part numbers, spec limits, and inspection parameters. * Assist in the creation of a metadata system and chat user interface that enables fast, intuitive querying and analysis via RAG (Retrieval Augmented Generation). * Parse and clean structured and unstructured datasets work with AI tools such as OCR and intelligently convert spreadsheets to fit a single architecture. * Resolve inconsistencies across data and build schemas for Vector DB.* Adhere to the Company's Quality Management System (QMS) as well as domestic and global quality system regulations, standards, and procedures. * Understand relevant security, privacy and compliance principles and adhere to the regulations, standards, and procedures that are applicable to the Company. * Ensure other members of the department follow the QMS, regulations, standards, and procedures. * Perform other work-related duties as assigned. Indicates an essential function of the role Required Qualifications Minimum education and experience Junior or Senior pursuing a Bachelor's degree in Data Science, Computer Science or related field. Preferred qualifications Experience with Python and common data libraries (pandas, NumPy, etc.). Experience with Azure ML is a plus. Interest or background in machine learning, NLP, or ETL data modeling is a plus. Comfortable working with large and unstructured datasets. Self-starter with strong problem-solving skills. Resourceful and security-driven development practices with strict adherence to industry data compliance. (HIPAA, SOC2, etc.) Strong oral, written, and interpersonal communications skills are required. High degree of accuracy and attention to detail. Proficiency with MS Word, Excel, and other standard office tools. Location and Pay: Alameda, CA $21.00 to $33.00/hour Working Conditions General office environment. Willingness and ability to work on site. Must be able to move between buildings and floors. Must be able to remain stationary and use a computer or other standard office. equipment, such as a printer or copy machine, for an extensive period of time each day. Must be able to read, prepare emails, and produce documents and spreadsheets. Must be able to move within the office and access file cabinets or supplies, as needed. Must be able to communicate and exchange accurate information with employees at all levels on a daily basis. What We Offer A collaborative teamwork environment where learning is constant, and performance is rewarded. The opportunity to be part of the team that is revolutionizing the treatment of some of the world's most devastating diseases. A generous benefits package for eligible employees that includes medical, dental, vision, life, AD&D, short and long-term disability insurance, 401(k) with employer match, an employee stock purchase plan, paid parental leave, eleven paid company holidays per year, a minimum of fifteen days of accrued vacation per year, which increases with tenure, and paid sick time in compliance with applicable law(s). Penumbra, Inc., headquartered in Alameda, California, is a global healthcare company focused on innovative therapies. Penumbra designs, develops, manufactures, and markets novel products and has a broad portfolio that addresses challenging medical conditions in markets with significant unmet need. Penumbra sells its products to hospitals and healthcare providers primarily through its direct sales organization in the United States, most of Europe, Canada, and Australia, and through distributors in select international markets. The Penumbra logo is a trademark of Penumbra, Inc. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, age, disability, military or veteran status, or any other characteristic protected by federal, state, or local laws. If you reside in the State of California, please also refer to Penumbra's Privacy Notice for California Residents. For additional information on Penumbra's commitment to being an equal opportunity employer, please see Penumbra's AAP Policy Statement.

Job Description: THE OPPORTUNITY We are looking for a visionary leader for Data Science at Scholastic. The Director of Data Science has overall responsibility for leading data science, machine learning, artificial intelligence and predictive modeling projects within Scholastic. The Data Science team is tasked with critical projects designed to mitigate risks and/or promote growth for Scholastic. We are looking for an experienced leader with significant Data Science expertise who is motivated to make a significant impact in Scholastic. This role reports to the Vice President of Data and Analytics. The ideal candidate will have a proven track record in utilizing data science to drive revenue growth for an organization. RESPONSIBILITIES LEADERSHIP AND STRATEGIC DIRECTION Own the data science solutions strategy and uncover opportunities to apply data science to Scholastic's businesses. STAKEHOLDER ENGAGEMENT AND COLLABORATION Engage key stakeholders to understand their business and data needs and translate them into technical specifications to deliver data science, machine learning, and AI solutions that have meaningful business impact. PROJECT MANAGEMENT AND DELIVERY Ensure that the development and deployment of data science models adheres to industry best practices. Design and champion data science and data products methodologies for the entire team. Ensure consistent, on-time delivery of team projects. TEAM DEVELOPMENT AND MANAGEMENT Attract, hire, coach, mentor, retain and develop a top team of data scientists. Promote collaboration, continuous learning, and excellence. DATA SCIENCE EXPERTISE AND INNOVATION Serve as Scholastic's leading expert in data science, machine learning and artificial intelligence to guide strategy and projects. EXECUTIVE LEVEL COMMUNICATION Effectively communicate complex technical concepts and insights to executive level audiences ORGANIZATIONAL IMPACT Use data science to reduce costs, drive growth, and identify and mitigate risk for Scholastic The role is based in the NYC office and requires being in the office three days per week. WHO WE ARE Scholastic Corporation (NASDAQ: SCHL) is the world's largest publisher and distributor of children's books, a leading provider of core literacy curriculum and professional services, and a producer of educational and entertaining children's media. The Company creates quality books and ebooks, print and technology-based learning programs for pre-K to grade 12, classroom magazines and other products and services that support children's learning both in school and at home. With operations in 14 international offices and exports to 165 countries, Scholastic makes quality, affordable books available to all children around the world through school-based book clubs and book fairs, classroom collections, school and public libraries, retail and online. True to its mission of 100+ years to encourage the personal and intellectual growth of all children beginning with literacy, the Company has earned a reputation as a trusted partner to educators and families. Learn more at www.scholastic.com. Some benefits that we offer: Full suite of health and wellness benefits (including a $0 deductible Medical Plan) Retirement Savings Plan 401(k) with options for both Roth and Traditional Contributions Tuition-Free programs for undergraduate and graduate degrees Generous Parental Leave Program Employee Stock Purchase Plan (ESPP) with opportunity for discounted stock at a 15% discount Thank you for your consideration in choosing Scholastic. #LI-MV1 #LI-MA1 Qualifications HOW YOU CAN FIT (Qualifications) Knowledge, Skills, and Abilities: Experience using Statistical and Machine Learning algorithms on business data and solving problems in a commercial environment. Strong understanding of data analysis and modeling, solid background in statistics, computer science and related fields. Proven experience leading data science teams and data products teams. Expertise in Python, relevant machine learning packages such as scikit-learn. Expertise in SQL. Experience with AWS SageMaker, Redshift, S3. Excellent communication skills Excellent team and project management skills Experience: 8-10 years of experience in Data Science 7+ years of experience of people management including leading other people managers Education: Bachelor's degree in Statistics, Economics, Mathematics, or Computer Science. Advanced degree in quantitative discipline preferred Time Type: Full time Job Type: Regular Job Family Group: Information Technology Location Region/State: New York Compensation Range: Annual Salary: 220,000.00 - 250,000.00 EEO Statement: Scholastic is an Equal Opportunity Employer. Our policy is clear: there shall be no discrimination on the basis of race, religion, color, sex, pregnancy, national origin, marital status, sexual orientation, gender identity or expression, age, non-disqualifying physical or mental disability, or status as a disabled veteran or Vietnam veteran. Those factors shall not influence the determination of qualifications for a job or other opportunity within the company. Further, all personnel actions (such as compensation, tuition aid, benefits, transfers, promotions, and dismissals, company-sponsored training, social and recreational programs) shall be administered without discrimination. EEO is the Law Poster EEO Scholastic Policy Statement Pay Transparency Provision

Must be able to work onsite at ABC Supply Co, National Support Center in Beloit, WI in a hybrid arrangement. ABC Supply is North America's largest wholesale distributor of exterior and interior building products. ABC Supply is proud to be an employee-first company. In fact, we have won the Gallup Great Workplace Award every year since its inception in 2007, and Glassdoor has named us one of the best places to work in the country. Be part of a company that recognizes your talents, rewards your efforts, and helps you reach your full potential. At ABC Supply, we have YOUR future covered. Summary: As the Manager of Data Science, you will be responsible for leading and managing our data science team, driving data-driven initiatives, and contributing to the overall data strategy of ABC Supply Co. You will collaborate closely with enterprise analytics and business teams to identify business challenges, develop innovative data science solutions, and provide actionable insights. Your role will be instrumental in shaping our data science capabilities and ensuring the successful execution of analytics projects. Essential Duties and Responsibilities: Lead and mentor a team of data scientists, providing guidance, technical expertise, and support to ensure the successful execution of projects. Foster a collaborative and innovative team environment. Oversee, in conjunction with Product Owners, end-to-end data science projects, from problem definition and data exploration to model development, validation, and deployment. Apply advanced statistical and machine learning techniques to analyze complex datasets, extract meaningful patterns, and develop predictive and prescriptive models. Contribute to the development of the company's data strategy by identifying opportunities to leverage data science to enhance business processes, optimize operations, and drive revenue growth. Collaborate with key stakeholders from various departments within the company, including the National Support Centers, Field Operations, and Branch Operations to understand their data needs and deliver solutions to meet business objectives. Stay updated with the latest advancements in data science, machine learning, and AI technologies. Evaluate and implement new tools, algorithms, and frameworks to enhance the team's capabilities. Ensure the team creates and maintains documentation using appropriate tools, including wikis for narrative documentation and version-controlled repositories for technical documentation. Operate in agile environment intended to facilitate iterative development and continuous delivery. Effectively communicate with colleagues on both technical and non-technical topics, across a variety of communications platforms, including voice and video calls, chat, and email Qualifications and Skills: 5+ years of experience in data science, with a proven track record of leading successful data science projects and managing teams Significant experience extracting data from databases or other sources with SQL Significant experience with at least one of Python or R, and common packages used for data wrangling (e.g. pandas, tidyverse), modeling (e.g. scikitlearn, caret/tidymodels), and data visualization (e.g. seaborn, ggplot2) Significant experience in at least one "non-wrangling" data science domain, e.g. optimization, clustering/segmentation, supervised learning, time-series forecasting Significant experience with descriptive and inferential statistics, e.g. hypothesis testing, confidence intervals, correlations, etc. Significant experience with at least one enterprise data visualization tool (Tableau preferred) Experience with at least one cloud data platform (Azure and Snowflake preferred) This role is likely best suited toward candidates with a master's degree and 7-10 years of related experience. Benefits may include: Health, dental, and vision coverage - eligible after 60 days, low out of pocket 401(k) with generous company match - eligible after 60 days, immediately vested Employer paid employee assistance program Employer paid short term and long term disability Employer paid life insurance Flex spending Paid vacation Paid sick days Paid holidays Equal Opportunity Employer / Drug Free Workplace ABC Supply values diversity and we actively encourage women, minorities, and veterans to apply.

Please note that the selected individual for this role will be expected to work in our Raleigh, NC location from the time of joining. If you reside outside of the Raleigh region and you are unable or unwilling to relocate, then please consider other roles across our organization that might allow for remote locations. About Us: LexisNexis, a part of RELX, is a leading global provider of legal, regulatory, and business information. We help customers increase productivity and improve decision-making and outcomes. Our 10,500 experts and innovative tools help us shape a better world for our customers and communities. Nexis Solutions, a division of LexisNexis, is seeking a Data Scientist who will focus on search and be dedicated to the creation of next-generation search relevance techniques and strategies for LexisNexis, dramatically improving how our users search and find the answers to their research questions. This role should be able demonstrate versatility, collaborate across teams, and be enthusiastic in tackling new problems as we continue to push technology forward. About the Role: As a Manager, Data Science, you will become a subject matter expert, defining projects and their execution. Leading small teams of indirect reports, you'll influence and mentor teams in best practices and methodologies. For this role, we are seeking candidates who are highly experienced inleading the development and deployment of advanced AI and machine learning models. The ideal candidate will have a deep understanding of machine learning algorithms, experience working with large datasets, and a track record of delivering high-quality results. You will be working closely with other data scientists and engineers to design, develop, and deploy cutting-edge AI solutions. Responsibilities: Leading the development of advanced AI and machine learning models to solve complex business problems Working closely with other data scientists and engineers to design, develop, and deploy AI solutions Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs Analyzing large datasets to identify patterns and trends that can inform AI development Communicating findings and insights to stakeholders in a clear and concise manner Staying current with the latest AI and machine learning trends and technologies Mentoring junior data scientists and provide guidance on AI and machine learning best practices Driving best practices across our data science functions Setting strategy and team direction, with a clear vision for Data Science Working with product leaders to apply data science solutions. Evaluating and creating new frameworks and defining methodologies and governance Leading small- to medium-sized teams (direct or indirect) Setting a high-bar for model development Requirements: Have substantial experience in a senior data scientist role Have experience in leading complex projects and customer relationships Have significant experience in managing larger Technical teams (direct or indirect) Have experience in mentoring or training others, acting as a subject matter expert to guide colleagues Be a natural problem solver, able to take a lead in collaborating to resolve issues Have excellent communication skills and the ability to convey information clearly to senior stakeholders Highly Desired Skills and Experience: PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field 7-10+ years of experience in AI and machine learning Deep understanding of machine learning algorithms, including deep learning, gradient boosting, and random forests Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc. Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc. Experience with reinforcement learning, prompt engineering, hallucination mitigation Working understanding of the business risks associated with applying LLM in a business Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark) Strong coding skills in Python or another programming language Excellent communicator, with the ability to translate complex technical concepts to non-technical stakeholders Strong problem-solving skills and the ability to think outside the box Work in a way that works for you: We promote a healthy work/life balance across the organization, with various flexible and remote working options available to employees Working with Us: LexisNexis Legal & Professional is proud to be an equal-opportunity employer. We are committed to equal opportunity employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Together, we are building a diverse and inclusive workplace. Working for you: We believe in a healthy work/life balance. We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Comprehensive, multi-carrier health plan benefits Disability insurance Dependent care and commuter spending accounts Life and accident insurance Retirement benefits (salary investment plan/employer stock purchase plan) Modern family benefits, including adoption and surrogacy About our Team: LexisNexis is a data and analytics company with 10,500 colleagues serving customers in more than 150 countries. We're one of the largest information and analytics companies on the planet. We design solutions that help our customers increase productivity, improve decision-making and outcomes, and be more successful. 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. USA Job Seekers: 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. EEO Know Your Rights.

The Core Data Science team owns a suite of products that provide actionable insights to the on-vehicle software teams. In particular, our scenario search tools are used by teams developing and validating Zoox’s on-vehicle AI stack to estimate and analyze event rates at scale, enabling the launch of an autonomous mobility service. Our team also works closely with dedicated Data Science teams to develop key driving behavior metrics and direct new feature development, using large scale data from our autonomous driving fleet and simulations. You are a good fit for our team if you are a software engineer with a propensity for big data analysis, or a data engineer / scientist with an understanding of and enthusiasm for sound software engineering practices. You will join a diverse, experienced team with rapidly growing scope and responsibility while also having access to a uniquely valuable data set in the autonomous vehicle industry. In this role, you will: Collaborate with our software and systems engineering teams to build and support core scenario search capabilities for Zoox Work alongside our data engineering and data science teams to develop and use robust large scale data solutions Identify key areas of investment for our vehicle software teams Establish best practices and processes around data-driven decision-making Qualifications Extensive experience with large-scale data processing frameworks, with preference for Spark or Hadoop Software development experience in a production environment, with preference for Scala, Python, or Java; or demonstrated experience learning new programming languages Familiarity with any version control system, with preference for GitExperience designing metrics and building mechanisms that deliver robust, actionable insights Good communication and collaboration skills Bonus Qualifications Experience training and deploying ML models to large scale production use cases Basic familiarity with C++ Experience with geospatial data analysisFamiliarity with or exposure to experimentation platforms Basic familiarity with any autonomous vehicle competency, e.g. perception, localization, prediction, planning, or controls Compensation: There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary range for this position is $192,000 to $273,000. A sign-on bonus may be offered as part of the compensation package. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

Senior Director, Clinical Informatics and Health Data Sciences The Regeneron Genetics Center uses genetics and health data on millions of people to advance our understanding of human disease and guide Regeneron's therapeutic programs. You will lead our efforts to organize health information aggregated from electronic health records, surveys, digital devices, and laboratory assays from multiple collaborators. This will require supervising and mentoring a small high-performing team and working with them to develop and implement standards for health data as well as code repositories, pipelines and analysis tools that facilitate interacting with data. This will also require coordination with an extensive team of stakeholders and users of this health data. You will need expertise in organizing and structuring large and diverse datasets as well as top-notch software engineering and orchestration skills. You will be responsible for the design of data structures that store health data. You will architect the code and processes that populate, validate, and analyze these data. You will participate in downstream analysis using machine learning, genomics, and epidemiology. This will be a dynamic, challenging position with lots of work and lots of opportunities. A typical day might include: Managing priorities and schedules for your team, as your work to match their abilities and expertise with the needs and goals of the organization. You will have to prioritize among a variety of tasks - ranging from datasets that might need data curation and harmonization to potential improvements to code, processes and APIs that might improve long-term team productivity. Oversee the design and implementation of a set of interactive tools and APIs that facilitate access to health datasets, including through the calculation of basic summary statistics and informative graphics, the calculation of quality metrics and reports, and the ability for users to programmatically query and retrieve data. Identifying courses, projects and resources that facilitate the professional development and growth of your team members, with the goal of growing their knowledge of clinical informatics, computer science, data engineering, epidemiology and collaboration. Reviewing the structure, content, and quality of phenotype data extracted from electronic health records, surveys, digital devices, or laboratory assays. Each of these datasets may include data on 100,000s of people and require coordination and input from multiple stakeholders with varied expertise. Architect, develop and test the tools and code that will transform electronic health records, surveys, laboratory assays, or digital device data into a harmonized format compatible with RGC analytical tools, applications and processes. You and your team will probably be writing and updating code in Python and using associated data science libraries, such as pandas, Polars, NumPy, scikit, and others. You will be presenting results and summaries of these datasets and data processing plans to a variety of technical audiences, ranging from experts in statistics, epidemiology, genetics, and computation to experts in biology, drug design, and medicine. You will need outstanding communication skills and an ability to summarize and present to a variety of technical audiences. You will work in a highly interactive environment with a diverse team of colleagues. We highly value the ability to interact, learn, and teach so that you and other skilled individuals consistently achieve high levels of motivation, enthusiasm, and performance. This role might be for you if: An outstanding candidate will have an advanced degree in Computer Science, Health Informatics, Clinical Informatics, Biostatistics, or a related field. 10+ years of experience in organizing and processing rich datasets is expected as well as demonstrated experience in managing, growing and developing junior team members. A demonstrated knowledge of Python and key data science libraries is a must. Knowledge of R, SQL and/or C/C++ is also highly valued. If you have contributed to code in GitHub or another public repository, let us know. Have a passion for teaching others and helping your team grow. We expect our people managers to make their teams better! Understanding strategies for mapping structured and unstructured data to ontologies such as ICD-10, RxNORM and LOINC. Knowledge and experience applying best practices for data quality control, summarization and visualization. A passion for learning. We are a fast-moving team in a fast-moving company. You should expect to encounter challenging work and to learn many new skills. Ability to summarize and distil results concisely. Excellent oral presentation and writing skills. To be considered for this position you should have demonstrated experience in management of health-related data, in application design and development, and as a people manager. This position will be based in Westchester County, New York. Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We have an inclusive and diverse culture that provides comprehensive benefits, which often include (depending on location) health and wellness programs, fitness centers, equity awards, annual bonuses, and paid time off for eligible employees at all levels! Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, nationality, national or ethnic origin, civil status, age, citizenship status, membership of the Traveler community, sexual orientation, disability, genetic information, familial status, marital or registered civil partnership status, pregnancy or parental status, gender identity, gender reassignment, military or veteran status, or any other protected characteristic in accordance with applicable laws and regulations. The Company will also provide reasonable accommodation to the known disabilities or chronic illnesses of an otherwise qualified applicant for employment, unless the accommodation would impose undue hardship on the operation of the Company's business. For roles in which the hired candidate will be working in the U.S., the salary ranges provided are shown in accordance with U.S. law and apply to U.S.-based positions. For roles which will be based in Japan and/or Canada, the salary ranges are shown in accordance with the applicable local law and currency. If you are outside the U.S, Japan or Canada, please speak with your recruiter about salaries and benefits in your location. Please note that certain background checks will form part of the recruitment process. Background checks will be conducted in accordance with the law of the country where the position is based, including the type of background checks conducted. The purpose of carrying out such checks is for Regeneron to verify certain information regarding a candidate prior to the commencement of employment such as identity, right to work, educational qualifications etc. Salary Range (annually) $238,400.00 - $397,300.00

The Data Science team at Asana is pivotal in fulfilling our mission by fostering a data-driven approach in shaping both our product and business strategies. In your role on the Marketing Data Science team, you will be a key player in using data and scientific techniques to enhance Asana's marketing effectiveness. You will work closely with marketing leadership and the wider Asana data community, unearthing new opportunities to advance our marketing capabilities and efficiency. You will lead a team of data scientists, collaborating with marketing leadership to influence overall marketing strategy. Your enthusiasm for mentoring and leading a team will be matched by your drive to solve complex technical challenges. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you'll achieve: Propel the Marketing Data Science team in executing its roadmap aimed at enhancing marketing initiatives, including projects like Lead Scoring, Media Mix Modeling (MMM), Multi-touch Attribution (MTA), and Spend Optimization. Lead and nurture a team of over four data scientists at varying levels, guiding their professional growth and expanding the team as necessary for ongoing business success. Collaborate with marketing leadership to pinpoint how data science can be further integrated into Asana's business approach. Take on a leadership role within the broader Asana Data Community, interacting with other Data Science teams, Data Engineering, and Analytics, along with MarketingOps and Paid Media teams that heavily rely on data outputs. Educate partners on emerging capabilities in the marketing data science space, acting as an advocate and guide to demonstrate its potential benefits. About you: Over 5 years of experience in a comparable data science role. At least 2 years of experience in managing a team of at least three data scientists. More than 4 years of experience collaborating with Marketing functions on projects like Multi-touch Attribution (MTA), Media Mix Modeling (MMM), geo-based testing, Spend Optimization, and Life-Time Value Modeling (LTV). Extensive track record in developing and implementing scalable machine learning solutions and data products that align with our business's evolving needs. Strong expertise and proven experience in orchestrating data-driven marketing strategies. At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we'll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $258,000 - $328,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences. These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. About us Asana helps teams orchestrate their work, from small projects to strategic initiatives. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named a Top 10 Best Workplace for 5 years in a row, is Fortune's #1 Best Workplace in the Bay Area, and one of Glassdoor's and Inc.'s Best Places to Work. After spending more than a year physically distanced, Team Asana is safely and mindfully returning to in-person collaboration, incorporating flexibility that adds hybrid elements to our office-centric culture. With 11+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. We also comply with the San Francisco Fair Chance Ordinance and similar laws in other locations. #LI-Hybrid #LI-AS2

Job Summary: WHO ARE WE? Live Nation Entertainment is the world's leading live entertainment company, comprised of global market leaders: Ticketmaster, Live Nation Concerts, and Live Nation Media & Sponsorship. Ticketmaster is the global leader in event ticketing with over 500 million tickets sold annually and more than 12,000 clients worldwide. Live Nation Concerts is the largest provider of live entertainment in the world promoting more than 40,000 shows and 100+ festivals annually for nearly 4,000 artists in over 40 countries. These businesses allow Live Nation Media & Sponsorship to create strategic music marketing programs that connect over 1,000 brands with the 98 million fans that attend Live Nation Entertainment events each year. For additional information, visit www.livenationentertainment.com. Live Nation's Concerts Division is where tours are born, artists come to life, and fans get to experience the rush of live music. From our dozens of owned/operated Amphitheaters to our Global Touring team, from Ticketing and Venue Operations to Marketing and Sales... we foster a fun and upbeat work culture with no shortage of opportunities. With perks ranging from free concert tickets to dog-friendly offices, to progressive benefits like student loan reimbursement and adoption/fertility support... it's no wonder we are certified as a Great Place to Work organization and one of People Magazine's "50 Companies that Care". We want everyone to feel like they belong and can thrive in our community, so we strive to help you achieve your career and personal goals. Live music is our passion and where we find our common ground. There has never been a better time to join Live Nation. WHO ARE YOU? Passionate and motivated. Driven, with an entrepreneurial spirit. Resourceful, innovative, forward thinking and committed. At Live Nation Entertainment, our people embrace these qualities, so if this sounds like you then please read on! THE ROLE We are seeking a Data Science Intern to join our Chicago-based team to support our analytics, machine learning, and AI initiatives. In this role, you will gain hands-on experience manipulating and analyzing concert and venue data, building machine learning models, and leveraging data intelligence platforms for streamlining workflows and automating processes. WHAT THIS ROLE WILL DO Partner with Data Scientists to design, implement, and maintain retrieval-augmented generation (RAG) pipelines and AI applications powered by large language models (LLMs), including vector embedding store setup, prompt engineering, and integration with internal business systems. Conceptualize, build, and implement Machine Learning models within the Databricks platform. Build complex SQL queries to compile, manipulate, and aggregate data. Perform ad-hoc statistical/exploratory analysis including, but not limited to, regression, clustering, and optimization. Partner with engineering and IT teams to productionize models, debug/troubleshoot code, and integrate with other internal business systems. WHAT THIS PERSON WILL BRING Currently pursuing a Master's degree in a relevant field, such as data science, computer science, statistics, or business analytics. Proficiency in Python. Proficiency in SQL. Experience working with LLMs, including prompt-engineering and RAG pipelines. Experience using statistical modeling and machine learning to solve business problems. Experience working with large and complex datasets. Thorough understanding of machine learning principles and experience using machine learning algorithms (e.g., gradient-boosted machines, neural networks). Strong communication skills and the ability to summarize complex analyses. Experience with MLOps and model deployment pipelines is a plus, but not required. EQUAL EMPLOYMENT OPPORTUNITY We are passionate and committed to our people and go beyond the rhetoric of diversity and inclusion. You will be working in an inclusive environment and be encouraged to bring your whole self to work. We will do all that we can to help you successfully balance your work and homelife. As a growing business we will encourage you to develop your professional and personal aspirations, enjoy new experiences, and learn from the talented people you will be working with. It's talent that matters to us and we encourage applications from people irrespective of their gender, race, sexual orientation, religion, age, disability status or caring responsibilities. Live Nation strongly supports equal employment opportunity for all applicants regardless of age (40 and over), ancestry, color, religious creed (including religious dress and grooming practices), family and medical care leave or the denial of family and medical care leave, mental or physical disability (including HIV and AIDS), marital status, domestic partner status, medical condition (including cancer and genetic characteristics), genetic information, military and veteran status, political affiliation, national origin (including language use restrictions), citizenship, race, sex (including pregnancy, childbirth, breastfeeding and medical conditions related to pregnancy, childbirth or breastfeeding), gender, gender identity, and gender expression, sexual orientation, or any other basis protected by applicable federal, state or local law, rule, ordinance or regulation. We will consider qualified applicants with criminal histories in a manner consistent with the requirements of the Los Angeles Fair Chance Ordinance, San Francisco Fair Chance Ordinance and the California Fair Chance Act and consistent with other similar and / or applicable laws in other areas. We also afford equal employment opportunities to qualified individuals with a disability. For this reason, Live Nation will make reasonable accommodations for the known physical or mental limitations of an otherwise qualified individual with a disability who is an applicant consistent with its legal obligations to do so, including reasonable accommodations related to pregnancy in accordance with applicable local, state and / or federal law. As part of its commitment to make reasonable accommodations, Live Nation also wishes to participate in a timely, good faith, interactive process with a disabled applicant to determine effective reasonable accommodations, if any, which can be made in response to a request for accommodations. Applicants are invited to identify reasonable accommodations that can be made to assist them to perform the essential functions of the position they seek. Any applicant who requires an accommodation in order to perform the essential functions of the job should contact a Human Resources Representative to request the opportunity to participate in a timely interactive process. Live Nation will also provide reasonable religious accommodations on a case by case basis. HIRING PRACTICES The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job. Live Nation recruitment policies are designed to place the most highly qualified persons available in a timely and efficient manner. Live Nation may pursue all avenues available, including promotion from within, employee referrals, outside advertising, employment agencies, internet recruiting, job fairs, college recruiting and search firms. --------- The expected compensation for this position is: $20.00 USD - $25.00 USD Hourly Pay is based on a number of factors including market location, qualifications, skills, and experience.

RDQ225R487 Job Description Databricks is looking for a Senior Manager, Infrastructure Data Science to shape the future of Databricks infrastructure through data science. You will tackle some of the most complex challenges related to capacity planning, performance optimization, reliability engineering, infrastructure efficiency, and customer experience. You will lead a team of data scientists and work directly in partnership with engineering leaders to empower them with data-driven insights and solutions. At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, CA to a global organization with over 7000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest-growing SaaS companies in the world. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform. The impact you will have: Thought leadership and strategic guidance on infrastructure planning, balancing current needs with future growth projections to ensure scalability and cost-effectiveness. Promote a data-driven approach to infrastructure decisions, influencing stakeholders across engineering, and support to leverage data science insights for high-impact, aligned strategies. Implement data-driven solutions to identify, predict, and mitigate infrastructure risks and failures, reducing downtime and improving system reliability and performance, directly impacting end-user satisfaction and operational continuity. Spearhead analyses to improve resource utilization efficiency, identifying and eliminating inefficiencies across infrastructure usage, resulting in cost savings and optimized performance. Establish data frameworks that empower support teams to troubleshoot and resolve product issues faster, decreasing response times and enhancing customer experience and support quality. Mentor and manage a team of data scientists, instilling best practices in data science, engineering, and fostering a collaborative environment focused on innovative, scalable infrastructure solutions. What we look for: 10+ years of infrastructure data science, machine learning, advanced analytics experience in high velocity, high-growth companies 5+ years of management experience hiring and developing teams Experience developing data science, analytics, and machine learning and AI products and capabilities in a cloud environment Knowledge of statistics and rigorous analytical techniques Experience with data visualization tools, knowledge of data engineering, data modeling, and big data technologies Leadership skills and experience to lead across functional and organizational lines Strong communication skills to explain and evangelize analytics and data science to executives and the senior management team Bias to action and passion for delivering high-quality data solutions A passion for problem-solving and comfort with ambiguity MS or Ph.D. in quantitative fields (Statistics, Math, CS or Engineering)

At eBay, we're more than a global ecommerce leader - we're changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We're committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work - every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers - and help us connect people and build communities to create economic opportunity for all. About the team and the role: eBay, Inc. seeks Data Science - Analyst 4 in Bellevue, WA What you will accomplish: Job Duties: Conduct product analysis and identify opportunities to drive transformative change in the customer experience and result in significant business growth through mining the largest datasets and leverage big data techniques to extract impactful insights. Utilize statistical models and data visualization software (i.e.: Python, Tableau, SQL, Spark, R, Hadoop, Amplitude, etc.) on large structured and unstructured data to derive insights that improve the relevance and ranking of Search results. Drive integration of Generative Artificial Intelligence (Al) capabilities into eBay's search engine. Perform product A/B experiments and provide structured, hypothesis-driven, and data supported practical solutions to facilitate product decisions. Coordinate with Engineering, Product, Business, and Data Science teams to deploy new search features and implement and support data pipelines that leverage eBay's unique platforms and data sets. Lead and oversee the full scope of analytical projects for the GenAI, Autocomplete and Relevance in Search. This role involves managerial responsibilities, including training and mentoring junior analysts to ensure successful delivery of project outcomes. Partial telecommuting permitted from within a commutable distance. What you will bring: Minimum Requirements: Masters degree, or foreign equivalent, in a quantitative field such as Data Science, Computer Science, Applied Mathematics, Statistics or a related field plus four years of data science or analytics experience in the job offered or a related occupation. Employer will accept a Bachelor's degree, or foreign equivalent, in a quantitative field such as Data Science, Computer Science, Applied Mathematics, Statistics or a related field plus six years of data science or analytics experience in the job offered or a related occupation. Special Skill Requirements: SQL (4 years) Programming experience in Python (3 years) Experience in large scale distributed data mining systems like Spark (2 years) Experience in A/B testing (2 years) Experience in Data visualization tools like Tableau (2 years) Experience in Machine learning and Statistical models (2 years) Experience in Natural language processing (1 year) Experience in product analytics tools like Mixpanel or Amplitude (2 years) Salary: $183,581.00-262,900.00 per annum. 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m. Must be legally authorized to work in the U.S. without sponsorship. Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employees will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay. eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.

RDQ225R487 Job Description Databricks is looking for a Senior Manager, Infrastructure Data Science to shape the future of Databricks infrastructure through data science. You will tackle some of the most complex challenges related to capacity planning, performance optimization, reliability engineering, infrastructure efficiency, and customer experience. You will lead a team of data scientists and work directly in partnership with engineering leaders to empower them with data-driven insights and solutions. At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, CA to a global organization with over 7000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest-growing SaaS companies in the world. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform. The impact you will have: Thought leadership and strategic guidance on infrastructure planning, balancing current needs with future growth projections to ensure scalability and cost-effectiveness. Promote a data-driven approach to infrastructure decisions, influencing stakeholders across engineering, and support to leverage data science insights for high-impact, aligned strategies. Implement data-driven solutions to identify, predict, and mitigate infrastructure risks and failures, reducing downtime and improving system reliability and performance, directly impacting end-user satisfaction and operational continuity. Spearhead analyses to improve resource utilization efficiency, identifying and eliminating inefficiencies across infrastructure usage, resulting in cost savings and optimized performance. Establish data frameworks that empower support teams to troubleshoot and resolve product issues faster, decreasing response times and enhancing customer experience and support quality. Mentor and manage a team of data scientists, instilling best practices in data science, engineering, and fostering a collaborative environment focused on innovative, scalable infrastructure solutions. What we look for: 10+ years of infrastructure data science, machine learning, advanced analytics experience in high velocity, high-growth companies 5+ years of management experience hiring and developing teams Experience developing data science, analytics, and machine learning and AI products and capabilities in a cloud environment Knowledge of statistics and rigorous analytical techniques Experience with data visualization tools, knowledge of data engineering, data modeling, and big data technologies Leadership skills and experience to lead across functional and organizational lines Strong communication skills to explain and evangelize analytics and data science to executives and the senior management team Bias to action and passion for delivering high-quality data solutions A passion for problem-solving and comfort with ambiguity MS or Ph.D. in quantitative fields (Statistics, Math, CS or Engineering)

** Please note that the selected individual for this role will be expected to work in our Raleigh, NC location from the time of joining. If you reside outside of the Raleigh region and you are unable or unwilling to relocate, then please consider other roles across our organization that might allow for remote locations. ** About Us : LexisNexis, a part of RELX, is a leading global provider of legal, regulatory, and business information. We help customers increase productivity and improve decision-making and outcomes. Our 10,500 experts and innovative tools help us shape a better world for our customers and communities. Nexis Solutions, a division of LexisNexis, is seeking a Data Scientist who will focus on search and be dedicated to the creation of next-generation search relevance techniques and strategies for LexisNexis, dramatically improving how our users search and find the answers to their research questions. This role should be able demonstrate versatility, collaborate across teams, and be enthusiastic in tackling new problems as we continue to push technology forward. About the Role : As a Manager, Data Science, you will become a subject matter expert, defining projects and their execution. Leading small teams of indirect reports, you'll influence and mentor teams in best practices and methodologies. For this role, we are seeking candidates who are highly experienced inleading the development and deployment of advanced AI and machine learning models. The ideal candidate will have a deep understanding of machine learning algorithms, experience working with large datasets, and a track record of delivering high-quality results. You will be working closely with other data scientists and engineers to design, develop, and deploy cutting-edge AI solutions. Responsibilities : · Leading the development of advanced AI and machine learning models to solve complex business problems · Working closely with other data scientists and engineers to design, develop, and deploy AI solutions · Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs · Analyzing large datasets to identify patterns and trends that can inform AI development · Communicating findings and insights to stakeholders in a clear and concise manner · Staying current with the latest AI and machine learning trends and technologies · Mentoring junior data scientists and provide guidance on AI and machine learning best practices · Driving best practices across our data science functions · Setting strategy and team direction, with a clear vision for Data Science · Working with product leaders to apply data science solutions. · Evaluating and creating new frameworks and defining methodologies and governance · Leading small- to medium-sized teams (direct or indirect) · Setting a high-bar for model development Requirements : · Have substantial experience in a senior data scientist role · Have experience in leading complex projects and customer relationships · Have significant experience in managing larger Technical teams (direct or indirect) · Have experience in mentoring or training others, acting as a subject matter expert to guide colleagues · Be a natural problem solver, able to take a lead in collaborating to resolve issues · Have excellent communication skills and the ability to convey information clearly to senior stakeholders Highly Desired Skills and Experience : · PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field · 7-10+ years of experience in AI and machine learning · Deep understanding of machine learning algorithms, including deep learning, gradient boosting, and random forests · Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc. · Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc. · Experience with reinforcement learning, prompt engineering, hallucination mitigation · Working understanding of the business risks associated with applying LLM in a business · Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark) · Strong coding skills in Python or another programming language · Excellent communicator, with the ability to translate complex technical concepts to non-technical stakeholders · Strong problem-solving skills and the ability to think outside the box Work in a way that works for you : We promote a healthy work/life balance across the organization, with various flexible and remote working options available to employees Working with Us : LexisNexis Legal & Professional is proud to be an equal-opportunity employer. We are committed to equal opportunity employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Together, we are building a diverse and inclusive workplace. Working for you: We believe in a healthy work/life balance. We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: - Comprehensive, multi-carrier health plan benefits - Disability insurance - Dependent care and commuter spending accounts - Life and accident insurance - Retirement benefits (salary investment plan/employer stock purchase plan) - Modern family benefits, including adoption and surrogacy About our Team: LexisNexis is a data and analytics company with 10,500 colleagues serving customers in more than 150 countries. We’re one of the largest information and analytics companies on the planet. We design solutions that help our customers increase productivity, improve decision-making and outcomes, and be more successful. 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 . USA Job Seekers: 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. EEO Know Your Rights .

WHAT WE DO MATTERS: At The Knot Worldwide, we champion celebration - and that starts with celebrating our people. Our employees are passionate dreamers, thoughtful doers, and lifelong learners who power meaningful moments for millions around the world. We’re united by authentic connection, shared purpose, and a deep commitment to the global community we serve. Here, flexibility and belonging go hand in hand with high performance. We believe the best ideas come from empowered teams: those who consistently collaborate with intention to design solutions, spark ideas, and drive impact. We inspire, we build, and we celebrate. We dream big, love our users, hustle every day, and always do the right thing to win - together. Our people are at the heart of our success. About the Role and Team The Knot Worldwide is actively seeking a skilled Lead Data Scientist to become an integral part of our Marketing Science team. This role is centered around utilizing advanced analytics and statistical methods to empower our marketing team with insights that optimize performance. As a Lead Data Scientist, you will develop analytical tools, conduct ad-hoc analyses, and assist in correlating user activity with marketing initiatives. Your involvement will extend to statistical modeling, investigations, and visualizations, collaborating with various teams to drive measurable outcomes. As a member of the wider Data organization within TKWW, your primary focus will be on constructing analytic models and designing as well as analyzing experiments to quantify the impact of your contributions. In this capacity, you will serve as both a valued partner and trusted advisor, playing a pivotal role in our data-driven decision-making process across the Data and Marketing departments. As a Lead Data Scientist, you will be responsible for: Collaborating with marketing stakeholders across Brand Media, Lifecycle Marketing, Product Marketing, or Acquisition Marketing to provide data-driven insights. Conducting in-depth analysis of TKWW user behavior to identify growth opportunities that enhance couple or vendor acquisition and engagement. Tackling advanced analytics challenges related to media mix modeling, geographic experimentation, landing page testing, and lifetime value prediction. Spearheading end-to-end projects from initial ideation and business alignment, through to measurement and deployment of insights. Assisting teams in defining KPIs, setting strategic goals, and designing and analyzing A/B testing for data-driven decision making. Developing and maintaining reports and data products for the organization using various BI tools such as Preset, Looker, Shiny, or Streamlit. Effectively communicating, collaborating and presenting results to stakeholders within TKWW to drive data-informed decisions. Investigating novel methodologies to analyze our data for continuous improvement. Mentoring junior team members in analytic and statistical best practices. To be successful in this role, you should have: A bachelor’s or master’s degree in Statistics, Mathematics, Data Science, Engineering, or a related field A minimum of 5-8 years of experience in data science and analytics roles within technology brands, with a preference for experience in a two-sided marketplace or e-commerce domain. Demonstrated experience and knowledge in metrics and models relevant to Marketing such a Media Mix Modeling. Foundational knowledge of statistics including hypothesis testing, regression analysis, and forecasting, and hands-on experience with A/B testing design and analysis. Advanced knowledge of SQL and ability to write efficient SQL code Ability to code in Python for data manipulation, visualization, and analysis using Jupyter notebooks Experience in using and building self-service analytics tools. Excellent communication skills, both written and verbal, with the ability to explain complex concepts to audiences of varying technical proficiency. A strategic mindset capable of translating business problems into analytics opportunities and solutions. A collaborative attitude that fosters a culture of data-driven decision making across the organization. An innovative spirit that thrives on exploring new ideas and approaches to solve challenging problems. At The Knot Worldwide, we believe you are more than a resume and invite you to go for it, take the leap of faith, and apply for this job if it sparks your passion to join TKWW and make a difference! WHAT WE LOVE ABOUT YOU: You Dream Big. You iterate and experiment to drive innovation. You Love Our Users. You keep our global community at the center of everything you do. You Do the Right Thing. You strengthen your team through respect, fairness, and inclusion. You Hustle Every Day. You favor urgency and own your outcomes. You Win Together. People are at the heart of our success and you play as a team. WHAT YOU LOVE ABOUT US: We believe in a wide range of holistic offerings to support our employees so that they can live our values day in and day out. From mental wellbeing, physical health and financial planning, to engaging perks and discounts, we are in the business of celebrating and supporting the Moments that Matter both in and out of the “office”. We offer flexible vacation, generous parental leave and prioritize initiatives that support the growth, development, and happiness of our people. Together@TKWW is our approach to hybrid work. It’s designed to support how we work best: combining the flexibility we value with meaningful opportunities to connect in person. Whether a role is Together@TKWW-eligible or not, we believe in purposeful moments to come together, build strong relationships, and drive bold ideas forward. For Together@TKWW-eligible roles, this includes regular in-office time to foster collaboration and connection. For roles not eligible for in-office expectations , we support connection through virtual collaboration and intentional gatherings. To facilitate in-person collaboration, we have office spaces in Barcelona, Spain; Delhi, India; Galway, Ireland; London, England; New York, NY; and Washington, D.C. -- US Notice: The Knot Worldwide provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, or disability. In addition to federal law requirements, The Knot Worldwide complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. The Knot Worldwide expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Privacy Notice: TKWW processes your personal data as part of the recruitment process, based on the legal basis of executing pre-contractual measures at your request. This means we use your information to assess your application and carry out the necessary steps for a potential employment contract. Only the information strictly necessary for evaluating your application is collected. You can request access, rectification, or deletion of your data. For more information on how we handle your personal data, please refer to our . If you wish to file a complaint, you may contact the competent data protection authority.

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? The Analytics Team is responsible for building and maintaining analytics tools and workflows to support the PrizePicks business across all departments - at the core of these operations is data. As a Staff Data Science Engineer, you will be developing, maintaining, testing, and leading projects regarding streaming data and MLOps infrastructures to enable PrizePicks to offer real-time simulation based market pricing within the product. What you’ll do: Create and maintain optimal sport data stream architecture, ensuring data reliability in both speed and quality for both raw and transformed data pipelines. Partner with Data Science to determine best paths for operationalization of DS/ML assets, ensuring model output quality, stability, and scalability. Steer the design, implementation, and deployment of the data, MLOps, and API stack required for real-time pricing models, personalization/recommendations, risk management tooling, and other critical functions by contributing to architecture evaluations and decisions for the evolving data product roadmap. Partner cross-functionally with Engineering, QA, and Product teams to enable the creation and distribution of highly visible and real-time data products to the PrizePicks platform. Empower teams to build and own rigorous monitoring, alerting, and documentation processes, and work with Engineering teams to ensure complete feature uptime. Act as a thought leader in the broader PrizePicks technology org, staying abreast of and implementing novel technologies, and disseminating knowledge and best practices to junior members of the team and collaborators alike. What you have: 7+ years of experience in Backend Engineering/Machine Learning Engineering shipping and maintaining production-grade systems for internal tools and product users. 3+ years of experience acting as technical lead and providing mentorship and feedback to junior engineers and scientists. Extensive experience exposing real-time predictive model outputs to production-grade systems leveraging large-scale cloud-based data streaming pipelines and infrastructure. Extensive experience working cross-functionally with data engineering, data science, product, and engineering teams, as well as external data providers and 3rd party services. Experience in most of the following: SQL/NoSQL databases/warehouses: Postgres, BigQuery, BigTable, Scripting languages: SQL, Python, Go, Rust. Cloud platform services in GCP and analogous systems: Cloud Storage, Cloud Compute Engine, Cloud Functions, Kubernetes Engine. Code version control: Git Code testing libraries: PyTest, PyUnit, etc Common ML and DL frameworks: scikit-learn, PyTorch, Tensorflow Modeling methods: classical ML techniques, deep learning, gradient boosting, bayesian methods, generative models. MLOps tools: DataBricks, MLFlow, Kubeflow, DVC. Data pipeline and workflow tools: Airflow, Argo Workflows, Cloud Workflows, Cloud Composer, Serverless Framework. Monitoring and Observability platforms: Prometheus, Grafana, Datadog, ELK stack. Infrastructure as Code platforms: Terraform, Google Cloud Deployment Manager. Other platform tools such as Redis, FastAPI, Docker and data visualization tools such as Streamlit or Dash. Excellent organizational, communication, presentation, and collaboration experience with organizational technical and non-technical teams Graduate degree in Computer Science, Statistics, Mathematics, Informatics, Information Systems or other quantitative field What makes you stand out: Experience building real-time production data science pipelines in a daily fantasy sports or oddsmaking business 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 $200,000 to $270,000. 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: May 6th, 2025 1st Extension: June 6th, 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.

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’re defining what it means to build and deliver the most extraordinary sports and entertainment experiences. Our global team is trailblazing new markets, developing cutting-edge products, and shaping the future of responsible gaming. Here, “impossible” isn’t part of our vocabulary. You’ll face some of the toughest but most rewarding challenges of your career. They’re worth it. Channeling your inner grit will accelerate your growth, help us win as a team, and create unforgettable moments for our customers. The Crown Is Yours Our Sports Modeling team comprises sports modeling experts and data science technologists, coming together to develop innovative products that deliver incremental value across our Sportsbook platform. As a Senior Data Scientist on the Sports Modeling team, you will develop models and data-driven solutions that enhance the Sportsbook experience for our users. In this role, you will work on implementing advanced sports models, refining data assets, and ensuring seamless integration into applications. What you’ll do as a Senior Data Scientist, Hockey Create statistical and machine learning models and integrate them into data science applications. Collect and engineer sports data assets to assist in model development. Implement the sports models and pricing engines in Python. Create automatic tests to ensure model and pricing engine accuracy. Collaborate closely with Trading, Product, Engineering, and QA teams to move projects from ideation to deployment. Test data flows and model integration in a larger business context. Coach and support more junior data scientists within the team . What you’ll bring Demonstrated passion for sports and a strong understanding of relevant leagues and their dynamics. A college degree in Statistics, Data Science, Mathematics, Computer Science, Engineering, or another related field. Proficiency in Python, with experience building statistical or machine learning models across various sports. Solid grasp of data science principles, statistical modeling techniques, and object-oriented programming concepts. Familiarity with tools and practices such as Kubernetes, Kafka, version control, and MLOps principles. Self-motivation and eagerness to expand knowledge and understanding of Sportsbook products and related technologies. Join Our Team We’re a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don’t worry, we’ll guide you through the process if this is relevant to your role. The US base salary range for this full-time position is 120,800.00 USD - 151,000.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific pay range and how that was determined during the hiring process. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Company Summary: Korro is a biopharmaceutical company focused on developing a new class of genetic medicines for both rare and highly prevalent diseases using its proprietary RNA editing platform. Korro is generating a portfolio of differentiated programs that are designed to harness the body's natural RNA editing process to effect a precise yet transient single base edit. By editing RNA instead of DNA, Korro is expanding the reach of genetic medicines by delivering additional precision and tunability, which has the potential for increased specificity and improved long-term tolerability. Using an oligonucleotide-based approach, Korro expects to bring its medicines to patients by leveraging its proprietary platform with precedented delivery modalities, manufacturing know-how, and established regulatory pathways of approved oligonucleotide drugs. Korro's lead program is Alpha-1 Antitrypsin Deficiency (AATD). Korro is based in Cambridge, Massachusetts. We are collaborative and united by a common mission. We are building a company with extraordinary people with an audacious vision to create transformative genetic medicines for prevalent diseases. Our values - Rewrite the future, On the Cutting Edge, Better Together, Dynamically Different, Kindness and Integrity form the fabric of the organization. They are reinforced daily and serve as key dimensions in the hiring process to help us ensure that Korro is a magnet for outstanding talent and a great place to work. Join us as we redefine what's possible in genetic medicine and work to make a lasting impact on human health. Position Summary: Korro Bio is seeking a dynamic, innovative, and experienced Sr. Director to lead our Data Science team. This individual will provide both strategic direction and hands-on leadership, overseeing the development and execution of Korro's bioinformatics strategy. A key focus will be enabling efficient data management, analysis, and visualization to support discovery research efforts. The ideal candidate will bring deep expertise in computational biology and a strong track record in scientific leadership. Success in this role requires the ability to thrive in a fast-paced, interdisciplinary startup environment and a proactive, collaborative mindset. This position reports to the SVP of Platform Development. Key Responsibilities: Function as a key member of Korro Bio's scientific leadership team, providing scientific expertise, strategic planning, and goal-oriented execution. Lead and mentor a small team of data scientists and computational engineers. Partner with other groups (e.g. chemistry, platform biology, pharmacology) within research and development to facilitate lead identification, optimization and development candidate nomination. Build strong relationships enabling trust, respect and effective collaboration cross disciplinary colleagues to ensure productive and successful company-wide research and development programs. Serve as a role model and foster a scientifically rigorous, open and supportive corporate environment. Effectively communicate scientific planning, progress and results to Korro's executive leadership, R&D teams, and external audiences. Additionally, build and develop appropriate relationships with key opinion leaders and SAB members. Required Qualifications: Ph.D. in a quantitative discipline (Bioinformatics, Statistics, Applied Mathematics, Computer Science, Biophysics, Computational Biology, Physics, Engineering, or Machine Learning) with relevant industry experience, OR M.S. degree with 10+ years of extensive industry experience. Minimum 7+ years of industry experience with demonstrated leadership and management capabilities, including proven ability to build, develop, and mentor high-performing teams Experience analyzing gene therapy, gene editing, in vitro/vivo assay, genetics, genomics and cell biology data Experience analyzing the multiple facets of next generation sequencing data, including amplicon sequencing, tag counting, exon sequencing. Experience using comparative genomics as a tool for gene discovery. Passionate scientific leader with strong emotional intelligence and exceptional communication skills, adept at navigating a fast-paced, rapidly evolving biotech environment and driving programs forward under aggressive timelines. Hands-on approach with meticulous attention to detail. Track record of collaboration, stakeholder relationship management, and influencing key decision makers. Benefits: Korro offers competitive compensation, including equity-based compensation, and a comprehensive benefits package that includes medical, dental, vision, 401(k) retirement plan, life insurance, a dependent care flexible spending account and a Company-funded health savings account and free parking.

This role is not open to visa sponsorship or transfer of visa sponsorship including those on OPT and STEM-EXT OPT, nor is it available to work corp-to-corp. This role requires a hybrid schedule and will be based in our Fort Mill, SC Headquarters (Tuesday through Thursday) and work fully remotely on Mondays and Fridays each week. We are looking to hire an Associate Data Science Product Manager to join our Deregulated Energy industry group on our marketplace business. This product team is responsible for transforming our sales center, digital buy flows, and our business operations through applications in AI & ML. This group focuses on both building the underlying technology and applying the applications to the business opportunities to create value. Example projects include building agentic workflows for site personalization and real-time technology, powered by generative AI, to assist our sales professionals. In this role, you will play a pivotal role in bridging the gap between complex data science initiatives and impactful product solutions to create value for both our business and our customers. As an Associate, you will be-hands on technical, both in leveraging the AI/ML solutions to drive value and in assisting in point solutions that augment the product you’re working on. We are looking for 1+ years of hands-on data science / advanced analytics experience or a masters degree in related fields. This is a hybrid position located in our South Charlotte or NYC office. What You'll Do Responsible for identifying opportunities to increase the impact of your product through deep understanding of the problem space, thorough comprehension of the product strategy and technology, and advanced statistical analysis. Effectively communicating recommendations to your product leads to create buy-in and action. Translate your recommendations into clear work streams and features that contribute to the product roadmap. Collaborate with Data Science, Design, and Engineering teams to turn objectives into detailed requirements with assistance from your product lead. Leverage algorithms and programming tools to execute relevant technical workstreams. This includes building items such as: Data pipelines to gather, manipulate, prepare, and visualize large datasets Machine learning models for offline and proof-of-concept use cases LLM workflows to automate tasks or for reasoning capabilities for specific features in your product End to end ownership of experiments. Assist in deploying features aimed at improving core KPIs. Conduct analyses to assess the impact of the experiments, synthesizing and owning the narrative. Stay up-to-date with advancements in machine learning and generative AI to identify innovative ways to solve business challenges. Who You Are Strong analytical and critical thinking skills. Can connect the dots between the business problem, the approach, the data, and the relevant recommendation. Strong grit and learning mentality when faced with challenging projects, unfamiliar technology, and ambiguous business problems. Takes a proactive approach to overcoming obstacles.  Creative problem solver with an entrepreneurial mindset and a strong business acumen with an interest in solving business and customer problems to create impact. You have a strong technical and data foundation that enables you to communicate effectively with data scientists, understand relevant algorithms, and explain technical concepts to non-technical stakeholders. What We're Looking For Demonstrated ability to root cause problems through a data-driven approach, synthesizing takeaways and effectively communicating recommendations to relevant audiences. Hands-on application of machine learning and/or generative AI to a relevant problem through statistical programming languages or large language models (e.g., Python, R, GPT4). Thorough knowledge in statistics and machine learning techniques. Demonstrated ability to collect, mine, and manipulate large data from disparate data sources, with an ability to dig deep and understand the process (e.g., SQL, Pandas, Tableau). Compensation Cash Compensation Range: *$95,000-120,000  *Note actual salary is based on geographic location, qualifications, and experience.  Additionally, the following benefits are provided by Red Ventures, subject to eligibility requirements. Health Insurance Coverage (medical, dental, and vision) Life Insurance Short and Long-Term Disability Insurance Flexible Spending Accounts Paid Time Off Holiday Pay 401(k) with match Employee Assistance Program Paid Parental Bonding Benefit Program Who We Are Founded in 2000, Red Ventures is a portfolio of growing digital businesses that bring consumers and brands together through integrated e-commerce, strategic partnerships and many proprietary brands including Bankrate, AllConnect.com and Reviews.com. Headquartered south of Charlotte, NC, Red Ventures has over 3000 employees in offices across the US, as well as London and Sao Paulo. For more information, visit https://redventures.com and follow @RedVentures on social platforms. We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program. Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications.  We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodation@redventures.com .  If you are based in California, we encourage you to read this important information for California residents linked here . #LI-KS1 #LI-TL1 Click here for more details regarding the employee privacy policy:  https://www.redventures.com/legal/us-emp-privacy-notice Questions about this Privacy Notice can be directed to  employeerights@redventures.com . Alternatively, you may raise any questions or concerns to your manager, HR Business Partner, or through the Privacy Team.

Why TrueML? TrueML is a mission-driven financial software company that aims to create better customer experiences for distressed borrowers. Consumers today want personal, digital-first experiences that align with their lifestyles, especially when it comes to managing finances. TrueML's approach uses machine learning to engage each customer digitally and adjust strategies in real time in response to their interactions. The TrueML team includes inspired data scientists, financial services industry experts and customer experience fanatics building technology to serve people in a way that recognizes their unique needs and preferences as human beings and endeavoring toward ensuring nobody gets locked out of the financial system. Role Overview We are seeking an experienced and visionary Technical Product Manager (TPM) to lead the product strategy and execution for our Data Science team. This is a pivotal opportunity to shape the future of AI and Data Science at TrueML. This critical role sits at the intersection of data science, engineering, and business strategy. You will be responsible for defining, prioritizing, and delivering innovative data-driven products and capabilities that leverage machine learning, statistical modeling, and advanced analytics to solve key business challenges and unlock new opportunities. As the product leader for our data science initiatives, you will work closely with data scientists, engineers, business stakeholders, and customers to translate complex technical concepts and user needs into a compelling product roadmap and tangible results. Benefits & Perks Everything you need to work remotely Unlimited PTO Medical/dental/vision insurance 401k through Charles Schwab Flexible Spending Account, Limited FSA, and Health Savings Account- with an eligible health care package. Company-paid short-term and long-term disability plus basic life insurance. Family-friendly maternity and paternity leave Employee assistance program (EAP) via Claremont. Get free short-term counseling for mental health, free + discounted legal consultations, free financial consultations, access to work/life consultants, and more! PerkSpot discount program. PerkSpot offers exclusive discounts to 900+ merchants nationwide, and has exclusive discounts up to 60% on hotels worldwide. Paid time off to do volunteer work in your community. Access to the Wellness Coach app for you and 5 family members Responsibilities Product Strategy & Vision: Define and champion the product vision, strategy, and roadmap for data science initiatives, aligning with overall company objectives and market opportunities. Roadmap & Prioritization: Develop and maintain a prioritized product backlog based on business value, technical feasibility, user feedback, and strategic goals. Make the tough trade-off decisions necessary to ensure we efficiently deliver value to users and our business. Requirements Definition: Collaborate closely with data scientists, engineers, designers, and stakeholders to gather requirements, define use cases, and translate them into clear, detailed technical specifications and user stories. Cross-functional Collaboration: Act as the primary liaison between the Data Science team and other departments (Engineering, Marketing, Sales, Operations, etc.) to ensure alignment and successful product development and launch. Technical Understanding: Develop a deep understanding of our data infrastructure, machine learning models, algorithms, and analytical techniques to effectively guide product development and communicate technical concepts to non-technical audiences. Product Lifecycle Management: Oversee the entire product lifecycle from ideation and discovery through development, launch, iteration, and end-of-life. Market & User Research: Conduct market research, competitive analysis, and user research to identify unmet needs, validate hypotheses, and inform product decisions. Go-to-Market: Partner with marketing and sales teams to define go-to-market strategies, positioning, and messaging for new data products and features. Performance Monitoring: Define key performance indicators (KPIs) and success metrics for data science products; monitor performance, analyze results, and drive continuous improvement. Stakeholder Management: Communicate product plans, progress, and insights effectively to stakeholders at all levels, including executive leadership. Qualifications (Required) Bachelor's degree or equivalent professional experience in Computer Science, Engineering, Statistics, Mathematics, or a related technical field. 3+ years of experience in technical product management, preferably working with data science, machine learning, or AI-powered products. Proven ability to define product strategy, develop roadmaps, and manage a product backlog. Strong understanding of the data science lifecycle, including data collection, cleaning, modeling, validation, and deployment. Familiarity with common machine learning algorithms, statistical concepts, and data analysis techniques. Experience working closely with engineering and data science teams in an Agile/Scrum environment. Excellent analytical and problem-solving skills, with a data-driven approach to decision-making. Exceptional communication, presentation, and interpersonal skills, with the ability to influence and collaborate effectively across teams and levels. Demonstrated ability to translate complex technical concepts into clear business value. Qualifications (Preferred) Master's or PhD degree in a relevant technical field. Hands-on experience with data science tools and platforms (e.g., Python, R, SQL, Spark, TensorFlow, PyTorch, cloud ML platforms like AWS SageMaker, Google AI Platform, Azure ML). Experience with A/B testing, experimentation frameworks, and data visualization tools (e.g. Tableau, Power BI). Experience in fintech, consumer finance, and/or consumer marketing. Experience managing platform products or APIs. $99,000 - $132,000 a year Compensation Disclosure: This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience, and other relevant factors. We are a dynamic group of people who are subject matter experts with a passion for change. Our teams are crafting solutions to big problems every day. If you're looking for an opportunity to do impactful work, join TrueML and make a difference. Our Dedication to Diversity & Inclusion TrueML and TrueAccord are equal opportunity employers. We promote, value, and thrive with a diverse & inclusive team. Different perspectives contribute to better solutions and this makes us stronger every day. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. For California Applicants: we collect personal information for employment purposes. We do not sell personal information. Most of the information we have is provided to us by you and/or collected as part of the employment process. For more details on how we use, share, and delete personal information see our Privacy Policy.