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Data Science Engineer - Tysons, VA Active Top Secret Clearance or above Salary: $150,000-$175,000 w/ full benefits Collaborate with data and subject matter experts from Customer and its customer teams to seek, understand, validate, interpret, and correctly use data and business insights DUTIES MLOps, Model Engineering, Training on time series data. After few weeks training on Customer's AI platform, develop AI-based applications using Customer's platform for operational cloud-deployed and secure lab deployed AI-based applications. Develop candidate models that are promoted to active models when their performance meets threshold. Train, validate and deploy machine learning pipelines Test, troubleshoot, and enhance customer AI-based applications based on feedback. Manage individual project deliverables Identify application performance bottlenecks and implement optimizations Write application specifications and documentation Articulate methodologies, experiments, and findings clearly in actionable way. Work in a fast-paced environment. This is NOT a data analytics role using Tableau or PowerBI. This is NOT an ETL & SQL role. This is NOT a R&D role prototyping at low TRL. REQUIRED Qualifications: Bachelor’s degree in a Science, Technology, Engineering or Mathematics (STEM), or comparable area of study. No experience in lieu of. 5+ years of Data Science development experience using Python Proficiency in data science, machine learning, and analytics, including statistical data analysis, model and feature evaluations. Strong proficiency in numpy & pandas. Demonstrated skills with Jupyter Notebook or comparable environments Practical experience in solving complex problems in an applied environment, and proficiency in critical thinking. Candidates require a TS to start. TS/SCI with Polygraph preferred PREFERRED Qualifications: Degree in Data Science, Machine Learning, Computer Science, Engineering, Statistics, or equivalent fields Strong mathematical background (linear algebra, calculus, probability & statistics) Experience with machine learning model training and analysis through open-source frameworks (Pytorch, Tensorflow, Sklearn) Experience crafting, conducting, analyzing, and interpreting experiments and investigations. Experience with modern software development tools and practices (Git, pull requests) Experience analyzing model performance with relevant metrics and optimizing. Familiarity with AI agent frameworks Ability to drive a project and work both independently and in a team Smart, motivated, can do attitude, and seeks to make a difference Excellent English communication and collaboration skills, particularly in multidisciplinary teams with data scientists, software engineers, product owners, & solution architects.

Location(s): United States of America City/Cities: Atlanta Travel Required: 00% - 25% Relocation Provided: No Job Posting End Date: August 6, 2025 Shift: Job Description Summary: The Director of Data Science & Analysis will lead collaborative efforts with the Portfolio Strategy & Human Insights (PSHI) team to develop solutions and processes that leverage data in innovative ways, employing exploratory and confirmatory analytics as well as AI. This role will liaise closely with the global shared platform services team and will be pivotal in instigating organizational transformation by blending business insight with expertise in data and analytics. You will serve as a unifying force, overseeing the entire analytics process for our PSHI teams. This role will be pivotal in pinpointing opportunities for value creation by transforming data into actionable insights. In this role, you will also work closely with data engineers and other data scientists to shape the target state data vision and roadmap for the Portfolio Strategy & Human Insights (PSHI) team. . This role is central to fostering an analytical mindset and will hold responsibility for the evolution and enhancement of analytical methodologies, emphasizing the innovation of new and the refinement of existing algorithms. The Ideal candidate will possess substantial, hands-on experience in data querying, analytical programming, statistical programming, and visualization. They should excel in transforming raw data into insightful visual representations and have a profound understanding and practical experience in various analytical and statistical approaches. The candidate should be adept at both innovating new methodologies and optimizing existing ones, ensuring the delivery of actionable, data-driven insights. Demonstrated ability to leverage learnings from deep analytics to business marketing applications is also required. Key Responsibilities: Provide leadership for all data science initiatives within the Portfolio Strategy & Insights team – working closely with shared services (platform services) and external partners. Develop and implement advanced statistical models and machine learning algorithms to analyze consumer and shopper behavior, identify consumer segments, and predict future consumer trends. Guide the team in analyzing, visualizing, and interpreting complex data sets to provide actionable insights into our consumer and shoppers. Lead some of the key projects for NAOU marketing team , working closely with external partners. E.g. of projects – marketing mix model, modeling customer loyalty data for understanding trends, growth pathways for brands leveraging multiple databases etc Stay updated with the latest industry trends, techniques, and methods within the field of Data Science. Help build data science capabilities within NAOU PSHI and Marketing teams. Qualifications : Bachelor’s / Master’s degree in a relevant field (e.g. Analytics, Computer Science, Mathematics, Statistics, Data Science, Economics) 10+ years of work experience in a data-centric business environment – understanding of marketing, consumer, CPG will be an added advantage. Familiarity and understanding of market research/survey and qualitative data sets is a plus. Extensive hands-on experience in building scalable models in R, Python etc and experience with cloud services like AWS, Azure, or Google Cloud Platform and leveraging them for deploying models and handling data. Expertise or demonstrable knowledge in Statistics / Machine Learning / Data Science Familiarity with big data technologies and frameworks like Hadoop, Spark, and experience with processing large and diverse datasets. Hands-on experience in deploying scalable models in production environments, integrating them with other business systems to maximize their utility. Proven comfort and an intellectual curiosity for working with large sets of data to address identified and sometimes undiscovered business needs. Demonstrated ability to use software to manipulate data, prototype new tools, and extract actionable insights from that data. Capable of presenting outcomes of analytic solutions in a format easily understood by a non-technical audience. The Coca-Cola Company will not offer sponsorship for employment status (including, but not limited to, H1-B visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require The Coca-Cola Company's sponsorship to continue to work legally in the United States. Skills: Analytical Thinking, Cross-Functional Teamwork, Data Analytics, Data Driven, Data Science, Influencing, Machine Learning Algorithms, Market Research Consultancy, Storytelling Pay Range: $160,000 - $186,000 Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered. Annual Incentive Reference Value Percentage: 30 Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target. Our Purpose and Growth Culture: We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what’s possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors – curious, empowered, inclusive and agile – and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class. When we collect your personal information as part of a job application or offer of employment, we do so in accordance with industry standards and best practices and in compliance with applicable privacy laws.

Who we are. . . Pearl Health is powering the future of healthcare. We help primary care providers and organizations to deliver quality healthcare to the patients who need it most, when they need it most — and get rewarded for keeping patients healthy. Our technology, services, and financial tools enable better, more proactive care, decrease total cost of care across patient panels, and optimize performance in value-based care models for Traditional Medicare and Medicare Advantage. We are a team of physicians and public health experts (Stanford, Harvard, Mount Sinai), technologists (athenahealth, Amazon, Meta, Flatiron), healthcare innovators (Centivo, Aledade, Stellar, Arcadia), and experienced risk management professionals (CVS/Aetna, Humana, Oscar) who believe that primary care providers are the key to addressing our healthcare system’s biggest challenges. Since its founding in 2020, Pearl has expanded to partner with thousands of primary care providers in practices and organizations across 44 states. Our investors include Andreessen Horowitz, Viking Global Investors, AlleyCorp, and SV Angel. The role. . . As the VP of Data Science & Analytics (DS&A), you will be a pivotal leader within Pearl Health, reporting directly to the Chief Data Science Officer. You will lead a critical function responsible for shaping the strategic direction of our DS&A initiatives and research projects, helping DS&A leadership manage the day-to-day execution of those projects, and ensuring the delivery of high-impact solutions that drive business outcomes. This role demands a visionary leader with exceptional technical depth, a proven track record of building and scaling high-performing teams, and the ability to influence at an executive level. You will be responsible for establishing best practices and standards for the team’s research, stewarding the career development of talented managers and principal-level researchers, and fostering a culture of technical excellence and strategic impact within the DS&A organization. What you’ll bring. . . Strategic Leadership, Collaboration, and Vision : Partner with leadership across the company to establish and champion the DS&A team's priorities and ensure bidirectional strategic alignment. Work with these same leaders to deliver integrated, high-value, and timely solutions. Provide strategic guidance to DS&A leaders in managing complex projects, encompassing execution and critical cross-functional stakeholder alignment. Collaborate with the Chief Data Science Officer to define and evolve the team's multi-year research trajectory, identifying new opportunities and fostering innovation. Talent Leadership : Lead, mentor, and develop DS&A managers and Principal Data Scientists, fostering their professional growth and career progression so that they can harness the energy and talent of their reports to support Pearl’s mission. Technical Excellence & Research Taste : Cultivate and nurture exceptional research taste and technical rigor across DS&A leadership and their teams. Collaborate with the Principal Data Scientist and other senior talent in order to mentor, energize, and orient complicated and technically nuanced research. Operational Efficiency, Quality Assurance, & Risk Management : Collaborate with DS&A leadership and the Chief Data Science Officer to establish and refine internal systems and best practices, empowering the team to maximize impact by eliminating bottlenecks. Establish and refine robust frameworks to ensure the quality, rigor, and validity of team outputs are calibrated to business impact, risk, and regulatory considerations. Ensure all standard operating procedures (SOPs) adhere to statutory compliance standards and uphold a high ethical bar. Infrastructure & MLOps Partnership : Work closely with the VPs of Engineering and Technical Operations to envision, create, and maintain a robust, scalable, and secure MLOps environment, proactively addressing future infrastructure needs driven by research, product, and company growth. GenAI Application & Enablement : Pioneer the application of Generative AI (GenAI) within DS&A operations to amplify team impact and serve as a model for company-wide adoption. Organizational Development : Drive the long-term growth and evolution of the DS&A organization, including talent acquisition, retention, and succession planning, ensuring sustained capability to meet future business demands. Executive Communication : Communicate complex technical concepts and strategic initiatives clearly and persuasively to executive leadership, investors, and external partners, influencing critical decision-making. Who you are. . . 10-15 years of progressive experience in data science, analytics, or a related quantitative field, with 5-7+ years in senior leadership roles managing multiple teams. Advanced degree (Ph.D. or Master's) in a quantitative field (e.g., Data Science, Computer Science, Statistics, Mathematics, Operations Research, Physics) or equivalent practical experience. Proven track record of defining, building, and scaling high-performing data science and analytics organizations within fast-paced, high-growth environments. Deep expertise in advanced machine learning, statistical modeling, experimental design, causal inference, and/or large-scale data processing. A history of spearheading deep research initiatives in machine learning and analytics, with a proven ability to guide teams in delivering innovative, scalable, and production-ready models that drive significant business value. Exceptional leadership, communication, and interpersonal skills, with the ability to inspire, influence, and collaborate effectively with diverse stakeholders at all levels, including executive leadership and external stakeholders. Extensive experience establishing and refining data governance, MLOps, and quality assurance best practices. Strong understanding of data architecture principles and proven experience collaborating with engineering teams to build robust data and MLOps infrastructure. Experience in the healthcare domain is a plus. Our Values We are an Equal Opportunity Employer and our employees are people with different strengths, experiences and backgrounds, who share a passion for improving people's lives. Our definition of diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. We believe all of our colleague’s points of view are integral to our success, and that inclusion is everyone's responsibility and a cause of beautiful things. We welcome candidates from all backgrounds and are committed to a fair hiring process free from discrimination and focused around problem solving, improvement, and mutual empowerment. Compensation and Benefits The salary range Pearl Health expects to pay for this position is between $240,000 - $280,000 per year. Full time employees are also eligible for annual discretionary bonus. Where a given candidate falls within that range will depend on a variety of factors, including, but not limited to, the candidate’s relevant skills, experience and location, labor market conditions and participation, if any, in other compensation arrangements. Pearl Health provides its employees a competitive benefit package - for more information please review our benefits page . Agency Submissions We are not currently working with contingency search firms. If a resume is submitted to any Pearl Health employee by a third party without a valid written and signed search agreement, it will become the property of Pearl Health and no fee will be paid, irrespective of whether the candidate is hired.

Are you looking to develop your Data Scientist career? Do you enjoy coaching others to achieve high standards? Join us in shaping a more just world. 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. 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, w e 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 . We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights .

With a career at The Home Depot, you can be yourself and also be part of something bigger. Position Purpose: The Data Science Manager is responsible for leading a team of data scientists (individual contributors), ensuring that their efforts drive business profitability, increased efficiencies and improved customer experience. This role leads overall programs, maximizing resources, partnering with project teams and business partners, and supports problem solving efforts. Data Science Managers provide leadership, mentoring, and coaching to team members, along with supporting their development of business and technical skills . Based on the specific data science team, this role would need to be Proficient in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP. As a Data Science Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions. This role is expected to collaborate with other Data Science Managers across the organization for aligning strategies and effectively managing talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations. Key Responsibilities: 40% People Management & Team Leadership - Provide leadership, mentorship and coaching to Data Scientists (individual contributors) and evaluate performance, execution, and contribution; Attract, retain and develop top talent to build an effective and high performing team; Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress; Ensure appropriate processes and job-specific requirements are properly documented; Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team; Manage resources effectively to align with strategic initiatives and business needs; Foster collaboration with team members to develop a supportive and engaged team; Support team in the design and development of algorithms and models to use against large datasets to create business insights; Drive team's results and celebrate accomplishments 25% Project Management - Prioritize and assign projects by striking a balance between a variety of factors, like funding, return on investment, innovative or challenging work, among others; Manage programs for the team to ensure consistency of execution, balance of resources and quality solutions; Collaborate with program managers and business partners to align on objectives and expectations and ensure project teams deliver against them; Serve as escalation point for any issues or difficulties with specific projects; Provide executive updates to leaders at all levels of the organization on program effectiveness, team accomplishments, summary of findings and recommended solution, and explain internal and external impacts 15% Strategy & Business Development - Leverage extensive business knowledge and relationships to seek out new business opportunities to leverage data science and advocate for team's skills; Effectively develop trust and collaboration with internal customers and cross-functional teams; Ensure alignment with IT support model, collaboration, tools and governance to enable data scientists to be most effective in executing their roles; Collaborate with other data science managers across the organization to establish high level strategy and optimize talent management 20% Technical Exploration & Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Ensure best practices and vision for data analysis and model productionalization are leveraged Direct Manager/Direct Reports: This position typically reports to Senior Manager or above This position has Direct Reports & manages programs Travel Requirements: Typically requires overnight travel 5% to 20% of the time. Physical Requirements: Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Preferred Qualifications: 9+ years of experience in business intelligence and analytics Previous people or project team management experience Expertise in predictive modeling, data mining and data analysis Mastery running queries against data (preferably with Google BigQuery or SQL) Proficient with data visualization software (preferably Tableau) Mastery utilizing statistical techniques to identify key insights that help solve business problems Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP Demonstrated proficiency in predictive modeling, data mining and data analysis Experience managing and growing team members in a professional setting Minimum Education: The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Preferred Education: No additional education Minimum Years of Work Experience: 8 Preferred Years of Work Experience: No additional years of experience Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences Develops Talent: Developing people to meet both their career goals and the organization's goals Directs Work: Provides direction, delegating and removing obstacles to get work done Drives Engagement: Creating an environment where people are motivated to do their best to help the organization achieve its objectives Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity Interpersonal Savvy: Relating openly and comfortably with diverse groups of people Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics Persuades: Using compelling arguments to gain the support and commitment of others Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies

Acclaim Technical Services, founded in 2000, is a leading language, operations, and technology services company supporting a wide range of U.S. Federal agencies. We are an Employee Stock Ownership Plan (ESOP) company, which is uncommon within our business sector. We see this as a significant strength, and it shows: ATS is consistently ranked as a top workplace among DC area firms and continues to grow.   Our Defense & Homeland Security Division, based in Hanover, MD is seeking multiple NCU Data Science  Instructors with current TS/SCI with polygraph to deliver engaging, mission-aligned training for analysts operating in critical environments. The ideal candidate will translate complex concepts into accessible, meaningful instruction that empowers analysts to enhance their operational effectiveness and develop deeper competencies within their mission areas.   Key Responsibilities: Deliver interactive training sessions aligned with evolving mission requirements. Facilitate learning that helps analysts reach new levels of insight and performance. Adapt instructional methods to suit diverse learner needs and skill levels. Provide hands-on tutoring to analysts in respective technical subject areas. This would include one-to-one training sessions, quarterly seminars and virtual training support to include resolving course content issues and student questions. Collaborate with subject matter experts and leadership to refine course content and training as needed. Maintain an up-to-date understanding of mission areas and evolving analyst skill sets.   Required Qualifications: Teaching experience in relevant data science topics to include: visual data, Jupyter Notebooks, MS Excel formulas, Python, machine learning, data preparation, NetFlow, NLP, and Cyber Network Defense . Proven experience instructing or training professionals in mission-driven environments. Deep understanding of analytical tradecraft and intelligence or operations workflows. Exceptional communication and facilitation skills. A minimum of thirty-six (36) months relevant experience in the technical skill/area of expertise for which they are to provide training (Network Architectures of land-line, cellular, and satellite telephony systems, Cell phone operating systems, Satellite communication systems, Computer –to-computer network communication, Target Research, Tool fundamentals and other analyst tools, Geolocation Analysis, Social network Analysis, Network Characterization, Reporting Policies, Technical Reports, Data Science, etc.) . Adjunct Faculty certification is preferred. Current TS/SCI with polygraph clearance required.   Pay Range: There are many factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employee owners value the flexibility at ATS that allows them to balance quality work and their personal lives. We offer competitive compensation, career growth, benefits and learning and development opportunities. Our broad mix of exceptional benefits options is designed to support and protect employees and their families.   At ATS, you will be eligible to participate in a comprehensive benefits package such as: healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here Employee Resources . Equal Employment Opportunity / Affirmative Action ATS is committed to a program of equal employment opportunity without regard to race, color, ethnicity, national origin, ancestry, citizenship, sex, pregnancy, marital status, sexual orientation, age, religion/creed, hairstyles and hair textures, handicap/disability, genetic information/history, military/veteran status, or any other characteristic or condition protected by applicable law. We support the employment and advancement in employment of individuals with disabilities and of protected veterans, and we treat qualified individuals without discrimination on the basis of their physical or mental disability or veteran status. Powered by JazzHR

Location: 4900 Tiedeman Road, Brooklyn Ohio ABOUT THE JOB (JOB BRIEF) The Data Science Senior Manager is primarily responsible for leading a quantitative analytics team in support of quantitative analysis including model development, validation, and maintenance. This role must establish priorities for the team, assign and define the work to the right resources, and understand the strengths and opportunities of the team to ensure the group meets and exceeds expectations. This role is responsible for owning modeling practices, methods, and techniques as well as for influencing data strategy with a focus on leveraging both current and emerging technologies and applications. The Data Science Senior Manager acts as a leader, strategic advisor and credible thought partner to senior / executive level business partners. This position is also responsible for managing the integration of activities within and across teams as well as effectively manage, coach, develop, and guide a team of professionals to anticipate business needs, recommend solutions that are both effective and efficient, and communicate the right message. ESSENTIAL JOB FUNCTIONS Provide strategic consultation and thought leadership to senior / executive level business partners Anticipate business partner needs Drive the output of the team – ensure “executive ready” work product in alignment with business priorities Influence / impact strategy for data sourcing Anticipate emerging needs; identify industry data trends and technologies Proactively coach and develop others on building technical skills Promote the group and their capabilities to stakeholders Effectively collaborate and partner at all levels of the organization; guides, advises, challenges, and influences to drive organizational impact Provide solutions based on “connecting the dots”; leverage business insights to align, develop, and build holistic strategies and solutions that align with LOB priorities and consider knowledge of cross-LOB interdependencies REQUIRED QUALIFICATIONS Master’s degree (or its equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 6 years minimum of relevant experience; or Bachelor’s degree (or its equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 7 years of relevant experience DATA LITERACY Ability to: Influence / impact strategy for data sourcing; can anticipate emerging needs to be incorporated into strategy Lead discussions about pros/cons of applications with senior leadership Monitor industry trends and direction of data analysis technologies TECHNOLOGY & TECHNIQUES Advanced Microsoft Office Suite SQL/NoSQL Relationship data structure Selecting and retrieving data including unstructured data retrieval, archival, and ETL Databases Advanced Python/R/SAS: Databases Efficient coding Can build strong code controls and translate code into high-level commentary Understanding of and ability to leverage: Cloud-based computing Distributed computing MODEL BUILDING & MAINTENANCE Ability to: Establish standards and best practices; forecast future modeling tools / techniques Identify, employ, and evangelize emerging techniques from industry / research Coach others on data modeling methods / techniques Facilitate sessions for complex data models Assess and understand risks; contingency plans Communicate observations to senior executives Translate technical observations to a non-technical audience EXPECTED COMPETENCIES Leadership: Typically manages team of professionals; Resources and role model for broad team, beyond direct reports; Manages integration of activities within or outside of team; Promotes the group and their capabilities to stakeholders; Provides thought leadership Partnering / Influencing: Considered a strategic advisor to senior and executive level business partners; Able to effectively collaborate and partner at all levels of the organization; Sought after as credible thought leader; Leverages executive presence / credibility to guide, advise, challenge, and influence at all levels of the organization; Drives organizational impact; develops this skill in others Business Acumen: Possess an integrated, cross-functional perspective based on understanding of the business; Aware of leverages industry best-practices; Has the ability to teach or coach where there are gaps in business acumen; Provides solutions based on knowledge of cross-LOB interdependencies Critical Thinking / Problem Solving: Drives cross-functional and enterprise wide solutions; Takes a systematic approach to “connecting the dots”; Proactively solicits others to gain an understanding of impacts and intersections; Considers longer term KeyCorp strategy and priorities in recommending solutions Communication: Superior written and verbal communication skills; delivers high quality written messages; coaches others; Can effectively translate and simplify complex technical concepts and language; Keeps team apprised of relevant LOB and bank-wide topics; Knows when to ensure transparency; Confident and comfortable presenting to all levels of the organization including at most senior levels; Recognized for executive presence, knows how and when to elevate the message COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $150,000 to $180,000 annually depending on location and job-related factors such as level of experience. Compensation for this role also includes eligibility for short-term incentive compensation and deferred incentive compensation subject to individual and company performance. Please click here for a list of benefits for which this position is eligible. Key has implemented a role-based Mobile by Design approach to our employee workspaces, dedicating space to those whose roles require specific workspaces, while providing flexible options for roles which are less dependent on assigned workspaces and can be performed effectively in a mobile environment. As a result, this role may be Mobile or Home-based, which means you may work primarily either at a home office or in a Key facility to perform your job duties. Job Posting Expiration Date: 08/24/2025

KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance@keybank.com. # LI-Remote

About us: SentiLink provides innovative identity and risk solutions, empowering institutions and individuals to transact confidently with one another. By building the future of identity verification in the United States and reinventing the currently clunky, ineffective, and expensive process, we believe strongly that the future will be 10x better. We’ve had tremendous traction and are growing extremely quickly. Already our real-time APIs have helped verify hundreds of millions of identities, beginning with financial services. In 2021, we raised a $70M Series B round, led by Craft Ventures to rapidly scale our best in class products. We’ve earned coverage and awards from TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, American Banker, LendIt, and have been named to the Forbes Fintech 50 list consecutively since 2023. Last but not least, we’ve even been a part of history -- we were the first company to go live with the eCBSV and testified before the United States House of Representatives . Role: As a Data Science Manager at SentiLink, you will directly manage a team of talented data scientists that build our suite of products: models that identify fraudsters and also advance our growing suite of products in financial risk. In this capacity, you will be relied upon to be a technical leader, mentor, and owner of your respective domain, both for your own team and the organization. Utilize your abilities as a strong data scientist to mentor your team, probe their understanding and challenge them to do their best work. Your team will often work on projects with high visibility and impact that require deep domain understanding, critical thinking and strong technical abilities. This role requires managing full-stack data scientists, whose work involves model development, analysis, and writing production code. You yourself should share that same skillset and be interested in having end-to-end ownership in a fast-moving environment where deep domain understanding drives development and unusual insights drive our competitive advantage rather than optimization of new machine learning methodologies. Technologies: Python 3, PostgreSQL, and AWS infrastructure (EC2, S3, RDS, Redshift, etc.) This is a remote, US-based role. Responsibilities: Directly manage a team of highly skilled data scientists. Start from 2-3 and grow to 5-6. Act as a technical mentor that can dive deep and provide detailed direction. Lead planning, resourcing and communications with senior leadership, product and engineering teams. Develop strong business intuition and guide your team to deliver performant DS solutions on aggressive timelines. Develop and maintain SentiLink’s fraud detection models through the full model development lifespan: from data acquisition decisions through featurization, focusing labeling resources, model training, experimentation, productionalization, and monitoring. Research new types of fraud and develop new SentiLink products around identity verification. Achieve success by researching / developing through iteration, integration of new data sources and inventive feature engineering. Write production-ready code that can be relied on for real-time decision making by our partners. Design, perform, and present analyses that will inform data acquisition, product development, risk operations priorities, marketing, and sales efforts. Requirements: 10+ years relevant work experience & relevant Masters or 7+ years & relevant PhD. 2-5 years experience directly managing a team of data scientists, ideally in a startup environment. 3+ years of startup experience. Excellent communicator and team player. Proven track record of solving complex / high profile business problems with DS / ML solutions. Experience in communicating outcomes / progress to senior management / stakeholders. Very strong in “end to end” DS development: Planning, fleshing out success criteria / metrics, getting buy-in, developing the solution, delivering the solution (prod / deck / strategy doc / etc) Strong practical ML / Stats knowledge, i.e. can easily employ the suite of standard ML / stats tools to quickly scope out solutions, and double down where needed. Experience with SOTA ML solutions is a plus Interest in developing deep domain expertise for product-focused work: a background in fraud is not required, but willingness to learn is Experience writing production code and tests Detail oriented and thoughtful -- someone we can rely on to make business-changing decisions Thrive in a fast paced environment characterized by the need to solve extremely varied, high impact, open ended problems. Bonus for familiarity with: identity solutions, fintech, or adjacent industries Candidates must be legally authorized to work in the United States and must live in the United States Salary Range: $210,000/year - $260,000/year + equity + benefits Perks: Employer paid group health insurance for you and your dependents 401(k) plan with employer match (or equivalent for non US-based roles) Flexible paid time off Regular company-wide in-person events Home office stipend, and more! Corporate Values: Follow Through Deep Understanding Whatever It Takes Do Something Smart

About the Role Build, validate, deploy, and maintain Data Science and Optimization models pertaining to Pricing Optimization, Inventory Optimization, and Fulfillment Optimization. Design and implementation of sophisticated experimental frameworks utilizing advanced methodologies such as synthetic pairs, synthetic controls, and randomized controlled experiments to rigorously measure causal impacts on key performance indicators, leveraging robust statistical techniques, including difference-in-differences and regression analysis, while conducting comprehensive sensitivity analyses and producing actionable insights. Develop End to End simulation pipelines to accurately and realistically mimic business phenomenon and deploy the simulation to measure model performance. Develop data validation and visualization dashboards to lead model validation and adoptions collaborations with functional stakeholders. Collaborate with Inventory Management, PdM, and Strategy teams, as well as the central Data Science & AI team, to set up data science roadmaps and measure actions resulting from analytics recommendations. Telecommuting permissible from any location within US. Salary Range: $158,642 – $177,000 Employee pay will vary based on factors such as qualifications, experience, skill level, competencies and work location. We will meet minimum wage or minimum of the pay range (whichever is higher) based on city, county and state requirements. What You'll Do 1. Linear models, Tree Based models; 2. Deep learning models to leverage large data sets and to define various allocation optimization, price optimization or fulfillment optimization policies; 3. Time Series Modeling to analyze and forecast data collected over time to identify trends and patterns in sales fluctuations; 4. At least two of the following areas: Inventory Optimization, Promo & Markdown9 Optimization, and Fulfillment Optimization; 5. Simulation Design; 6. Experiment design and Measurement including defining hypotheses, selecting appropriate experimental variables (independent and dependent), using techniques like randomization, sampling, and control groups to reduce bias and ensure validity, hypothesis testing, A/B testing, and regression analysis to measure causal relationships and derive actionable insights; 7. Visualization tools like Tableau, Power BI; 8. Bayesian Machine Learning Models; 9. Data Mining to discover insights from large datasets; 10. Python Programming Language & Data Science Libraries like Scikit; and 11. Cloud infrastructure Azure, AWS, or DataBricks Who You Are Masters’s degree or foreign degree equivalent in Data Science, Operations Research, Statistics or related field and three (3) years of experience in Data science or in the job offered.

With a career at The Home Depot, you can be yourself and also be part of something bigger. Position Purpose: The Data Science Manager is responsible for leading a team of data scientists (individual contributors), ensuring that their efforts drive business profitability, increased efficiencies and improved customer experience. This role leads overall programs, maximizing resources, partnering with project teams and business partners, and supports problem solving efforts. Data Science Managers provide leadership, mentoring, and coaching to team members, along with supporting their development of business and technical skills . Based on the specific data science team, this role would need to be Proficient in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP. As a Data Science Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions. This role is expected to collaborate with other Data Science Managers across the organization for aligning strategies and effectively managing talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations. Key Responsibilities: 40% People Management & Team Leadership - Provide leadership, mentorship and coaching to Data Scientists (individual contributors) and evaluate performance, execution, and contribution; Attract, retain and develop top talent to build an effective and high performing team; Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress; Ensure appropriate processes and job-specific requirements are properly documented; Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team; Manage resources effectively to align with strategic initiatives and business needs; Foster collaboration with team members to develop a supportive and engaged team; Support team in the design and development of algorithms and models to use against large datasets to create business insights; Drive team's results and celebrate accomplishments 25% Project Management - Prioritize and assign projects by striking a balance between a variety of factors, like funding, return on investment, innovative or challenging work, among others; Manage programs for the team to ensure consistency of execution, balance of resources and quality solutions; Collaborate with program managers and business partners to align on objectives and expectations and ensure project teams deliver against them; Serve as escalation point for any issues or difficulties with specific projects; Provide executive updates to leaders at all levels of the organization on program effectiveness, team accomplishments, summary of findings and recommended solution, and explain internal and external impacts 15% Strategy & Business Development - Leverage extensive business knowledge and relationships to seek out new business opportunities to leverage data science and advocate for team's skills; Effectively develop trust and collaboration with internal customers and cross-functional teams; Ensure alignment with IT support model, collaboration, tools and governance to enable data scientists to be most effective in executing their roles; Collaborate with other data science managers across the organization to establish high level strategy and optimize talent management 20% Technical Exploration & Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Ensure best practices and vision for data analysis and model productionalization are leveraged Direct Manager/Direct Reports: This position typically reports to Senior Manager or above This position has Direct Reports & manages programs Travel Requirements: Typically requires overnight travel 5% to 20% of the time. Physical Requirements: Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Preferred Qualifications: 9+ years of experience in business intelligence and analytics Previous people or project team management experience Expertise in predictive modeling, data mining and data analysis Mastery running queries against data (preferably with Google BigQuery or SQL) Proficient with data visualization software (preferably Tableau) Mastery utilizing statistical techniques to identify key insights that help solve business problems Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP Demonstrated proficiency in predictive modeling, data mining and data analysis Experience managing and growing team members in a professional setting Minimum Education: The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Preferred Education: No additional education Minimum Years of Work Experience: 8 Preferred Years of Work Experience: No additional years of experience Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences Develops Talent: Developing people to meet both their career goals and the organization's goals Directs Work: Provides direction, delegating and removing obstacles to get work done Drives Engagement: Creating an environment where people are motivated to do their best to help the organization achieve its objectives Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity Interpersonal Savvy: Relating openly and comfortably with diverse groups of people Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics Persuades: Using compelling arguments to gain the support and commitment of others Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies

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 We are looking for a Lead Data Science Engineer to join our Sportsbook Reinvestment team, where we focus on understanding and optimizing how players engage with our Online Sportsbook products over time. As a Lead Data Science Engineer, you will be responsible for building advanced models and algorithms, analyzing large-scale behavioral datasets, and driving measurable impact through experimentation and productionized solutions. What you'll do as a Lead Data Science Engineer Lead end-to-end modeling projects to improve customer engagement and retention, from ideation to production deployment. Build, test, and optimize machine learning models to forecast user behavior, personalize promotions, and enhance Sportsbook product engagement. Partner with engineers, analysts, product managers, and marketers to translate insights into scalable solutions embedded within customer-facing systems. Mentor junior data scientists and share modeling and engineering best practices across the team. Clearly communicate findings and the impact of your models to stakeholders to influence product and marketing strategy. What you'll bring Proven experience applying machine learning and statistical modeling to solve real-world business problems, ideally in marketing or customer lifecycle contexts. Experience leading and coaching other data scientists Strong proficiency in Python (or R) and experience working with large datasets using SQL and distributed computing platforms. Ability to structure and execute data science projects and deliver business value through production-ready models. Excellent communication and collaboration skills to work effectively across technical and non-technical teams. A Bachelor’s degree in a relevant field such as Computer Science, Statistics, Mathematics, or a related discipline. 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 140,800.00 USD - 176,000.00 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.

DS position in X32 as a support for a Natural Language Processing (NLP) project to accurately and automatically tokenize language data with spoken or written origins. This position involves developing automated solutions for the annotation of language data. This includes parts of speech information, and improved existing models by scoring performance against human-generated annotations for speech and text. The requirement involves NLP, machine learning (ML), data modeling, and programmatic optimizations where needed all while interacting with a premier agency system.

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 The Knot Worldwide is looking for a highly experienced and strategic Director of Data Science to lead the data science efforts supporting our Ecommerce workstream. This role is a key leadership position within our Product Data team, reporting directly to the VP of Product Data. As Director of Data Science, Ecommerce, you'll be responsible for defining and executing the data science strategy for our end-to-end wedding ecommerce experience. This includes workstreams such as paper, registry, wedding website, and guest management. You will lead and mentor a small, impactful team of data scientists, empowering them to drive significant business outcomes through data-driven insights, experimentation, and advanced analytical methods. This is an exciting opportunity to leverage your expertise in data science and product analytics to directly influence how millions of couples plan their most important day, optimize user experiences, and contribute to the continued growth and success of The Knot Worldwide. Responsibilities Strategic Leadership: Develop and champion the data science roadmap, aligning with overall business objectives and product strategy for our ecommerce workstream. Team Management & Development: Lead, mentor, and grow a team of talented data scientists, fostering a culture of continuous learning, innovation, and high performance. Provide guidance on technical challenges, career development, and best practices in data science. Experimentation & A/B Testing: Oversee the design, execution, and analysis of A/B tests and other experiments to optimize customer funnel, product features, and user experiences. Drive a strong culture of experimentation within the team and with product partners. Strategic Analyses & Insights: Partner closely with product, engineering, marketing, and business stakeholders to identify key business questions and translate them into analytical problems. Conduct in-depth strategic analyses to uncover actionable insights that drive product improvements and user engagement. Advanced Analytics & Machine Learning: Guide the application of machine learning techniques for advanced analyses, pattern recognition, and automation where explainability and interpretability are crucial. This may include leveraging models for forecasting, personalization, or identifying user behaviors, with a focus on informing decisions rather than necessarily deploying models into production. Reporting & Measurement: Partner with stakeholders to define success metrics, build reliable reporting pipelines, and ensure trustworthy, actionable insights across ecommerce initiatives. Cross-Functional Collaboration: Serve as a key data science partner to product managers, engineers, designers, and other stakeholders, effectively communicating complex technical concepts and data-driven recommendations. Technical Excellence: Stay abreast of the latest advancements in data science, machine learning, and product analytics trends, incorporating relevant technologies and methodologies into the team's work. Data Governance & Quality: Collaborate with data engineering and other teams to ensure data quality, accessibility, and governance best practices are followed within the Ecommerce workstream. Qualifications Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or a related discipline. PhD is a plus. 8+ years of progressive experience in data science, with at least 3+ years in a leadership or management role, leading data science teams. Proven track record of driving significant business impact through data science initiatives, particularly in product analytics and optimization for complex digital products or platforms. Deep expertise in experimental design, A/B testing, and statistical analysis. Strong experience applying machine learning for advanced analyses and automation where explainability is critical. Proficiency in Python and SQL . Experience with cloud platforms (e.g., AWS, GCP, Azure) and big data technologies (e.g., Spark, Snowflake, Databricks) is highly desirable. Excellent communication, presentation, and interpersonal skills, with the ability to articulate complex data insights to both technical and non-technical audiences. Strong business acumen and ability to connect data science initiatives to product and business objectives. Experience in ecommerce domain or related consumer lifecycle products is a plus. 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.

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use . I further attest that all information I submit in my employment application is true to the best of my knowledge. Job Description The Director, Advanced Analytics and Data Science is responsible for performing complex data research and analysis to support business operations. By creating data mining architectures, statistical reporting, and data analysis methodologies, this role helps identify trends in large data sets and informs business decisions. OBJECTIVES/PURPOSE Define and lead advanced analytics strategy that delivers actionable insights and AI/ML-driven personalization to drive Oncology US objectives . Oversee development and application of marketing mix modeling, ROI analysis, and omnichannel optimization to maximize promotional effectiveness and customer engagement. Design and implement scalable AI/ML predictive analytics solutions (e.g., next-best-action, next-best-channel , advanced targeting ) for HCP, patient, payer, and medical engagements. Enable data-driven decision-making through robust, complaint, and production-ready models embedded in business workflows through close collaboration wit h cross-functional partners Foster a culture of high-performing, collaborative analytics that partners effectively with commercial, medical, digital, DD&T, and finance team s and adeptly influences without authority ACCOUNTABILITIES Define and lead the advanced analytics strategy to align with Oncology BU goals, balancing short-term impact with long-term capability-building (inclusive of preparing and evaluating a dedicated offshore analytics team) Design and deliver marketing mix models, ROI analysis, and omnichannel optimization to inform investment decisions and maximize customer engagement effectiveness. Design and operationalize advanced AI/ML solutions (e.g., next-best-action, segmentation, targeting) to enable scalable, compliant personalization across HCP, patient, and payer engagements. Drive experimentation with novel data sources and advanced modeling approaches, including GenAI , to enhance precision, relevance, and self-serve analytics capabilities. Establish and monitor meaningful KPIs and ROI metrics to evaluate and continuously improve the impact of AI/ML initiatives. Translate complex analytics and model outputs into clear, actionable insights and recommendations that enable senior leadership decision-making and drive commercial excellence. Foster strong cross-functional alignment and collaboration by partnering with marketing, digital, DD&T, finance, and medical teams to embed analytics-driven decision-making. Build , mentor, and lead a high-performing, inclusive analytics team— comprising indirect and offshore professionals—while fostering a culture of innovation, accountability, and continuous learning. Work closely with analytics and marketing communities to quantify the ROI of AI/ML-driven personalization initiatives. LEADERSHIP BEHAVIORS Collaborate across data science communities and external partners to stay abreast of innovations and industry trends. Identify and evaluate emerging tools, algorithms, and AI/ML techniques relevant to pharma personalization and decision science. Drive experimentation with novel data sources and modeling approaches to enhance precision and relevance of personalization. Strategic Agility – strategic enterprise thinker who finds innovative ways to develop solutions. Exceptional ability to set an agenda aligned to a function’s future focused objectives, deploy it and deliver results Creates Clarity – focuses on the few priorities that matter most. Track record of developing and implementing programs that reduce complexity and measurably improve business performance REQUIREMENTS Master’s or Ph.D . in Computer Science, Data Science, Statistics , Engineering, or a related field. 10+ Years experience in insights, analytics , or strategic planning roles within the Pharmaceutical or biotech industry with 5+ years of hands-on experience in AI/ML modeling Proven track record leading analytics in a matrix organization Strong technical expertise in machine learning, NLP, recommendation systems, and AI personalization use cases . Proficient in tools and languages such as Python, R, SQL, Spark, and familiar with cloud platforms (AWS, Azure, GCP). Experience with commercial pharma data (e.g., Sales, Claims , EMR , CRM, digital engagement platforms etc. ) and strong understanding of compliance and privacy considerations . Hands-on experience with marketing mix modeling, multivariate regression, time series analysis, and other statistical techniques Excellent communication and presentation skills, with the ability to convey complex patient insights to non-technical audiences. Demonstrated ability to collaborate effectively with cross-functional teams and manage multiple projects. Excellent strategic thinking capabilities with ability to synthesize large amounts of information and translate into clear strategic objectives MORE ABOUT US At Takeda, we are transforming patient care through the development of novel specialty pharmaceuticals and best in class patient support programs. Takeda is a patient-focused company that will inspire and empower you to grow through life-changing work. Certified as a Global Top Employer, Takeda offers stimulating careers, encourages innovation, and strives for excellence in everything we do. We foster an inclusive, collaborative workplace, in which our teams are united by an unwavering commitment to deliver Better Health and a Brighter Future to people around the world. This position is currently classified as "hybrid" in accordance with Takeda's Hybrid and Remote Work policy. #LI-Hybrid Takeda Compensation and Benefits Summary We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices. For Location: Boston, MA U.S. Base Salary Range: $174,500.00 - $274,230.00 The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained , certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. The actual base salary offered will be in accordance with state or local minimum wage requirements for the job location. U.S. based e mployee s may be eligible for s hort - t erm and/ or l ong- t erm incentive s . U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation. EEO Statement Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law. Locations Boston, MA Worker Type Employee Worker Sub-Type Regular Time Type Full time Job Exempt Yes 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.

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What you’ll be doing... The Artificial Intelligence & Data (AI&D) Organization is an exciting center of excellence supporting all of Verizon. Our team will be a catalyst to Verizon's future in creating networks that move the world forward through the power of Artificial Intelligence & Data. You will leverage advanced analytics and Generative AI (GenAI) to drive competitive intelligence, inform strategy and create actionable insights. You will use deep analytical skills to build a Center of Excellence focussed on bringing together different datasets for insights generation. You will be a strategic thinker joining a high profile, high visibility team that powers analytics and strategic thinking for Verizon. The Market and Network Intelligence team focuses on using competitive intelligence, network data and consumer data to enable decision making and drive insights into the business. You will lead a team that builds tools, analyses, and insights that informs, quantifies, and enables the visualization of data. Bring a consultative mindset to transform data into actionable insights to achieve business outcomes Automate data collection, cleansing, and integration processes using GenAI, enabling rapid and scalable intelligence gathering from structured and unstructured sources (e.g., news, social media, financial reports, customer feedback etc.). Build and maintain interactive dashboards, automated reports, and data visualizations to communicate findings clearly to executive leadership. Lead a strong internal data analytics team to support the business. Collaborate with cross-functional teams to translate analytics-driven insights into strategic business recommendations. Performing exploratory and targeted data analyses using descriptive statistics and other methods. Presenting results and recommendations to senior management and business users. Mentor and elevate analytics professionals, building a team that combines technical expertise with business acumen to drive sustained competitive advantage What we’re looking for... You are the one reading up on the latest standard methodologies in data mining and visualization. You can visualize the big picture strategy, but can also break it down into the components to get the job done. You believe that the best decisions are based in data and you’re the one that knows how to tease out the key learning within a dataset. You have credibility with people because you are a specialist in all things data but you also know how to bring it down to the level that your audience can understand—that’s practical and will help the business improve. And you’re an effective and inspiring leader who brings out the best in others. You’ll need to have: Bachelor’s degree or four or more years of relevant work experience Six or more years of relevant experience Demonstrated experience applying GenAI or advanced analytics tools in business Knowledge of forward-looking technologies and trends, including Generative AI (prompt engineering) Experience leading analytical teams Ability to present complex or technical topics in an engaging way Even better if you have one or more of the following: MBA and/or Master's of Engineering or technical field Understanding of telecom industry trends, competitive landscape and the role of AI in business strategy Prior experience at a top-tier consulting firm or in a strategy/analytics role at a major telecom company is highly desirable Experience with quantitative modeling, statistics, or data mining. Strong understanding of data science Experience with Alteryx or similar ETL/geospatial tools If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and a minimum eight assigned office days per month that will be set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status, disability or other legally protected characteristics. Benefits and Compensation Our benefits are designed to help you move forward in your career, and in areas of your life outside of Verizon. From health and wellness benefit options including: medical, dental, vision, short and long term disability, basic life insurance, supplemental life insurance, AD&D insurance, identity theft protection, pet insurance and group home & auto insurance. We also offer a matched 401(k) savings plan, stock incentive programs, up to 8 company paid holidays per year and up to 6 personal days per year, parental leave, adoption assistance and tuition assistance, plus other incentives, we’ve got you covered with our award-winning total rewards package. Depending on the role, employees have the opportunity to receive compensation in the form of premium pay such as overtime, shift differential, holiday pay, allowances, etc. Newly hired employees receive up to 15 days of vacation per year, which grows with additional service. For part-timers, your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances. The salary will vary depending on your location and confirmed job-related skills and experience. This is an incentive based position with the potential to earn more. For part-time roles, your compensation will be adjusted to reflect your hours. The annual salary range for the location(s) listed on this job requisition based on a full-time schedule is: $126,000.00 - $242,000.00.

About Ovative Group: Ovative Group is an independent, full-funnel media, measurement, and creative firm. Leveraging our deep industry expertise, we help brands like Best Buy, Domino's, American Eagle, The Home Depot, Post, Disney, Tumi, Michael Kors, Boost Mobile, and UnitedHealth Group transform their media and measurement programs. The result? Profitable growth that speaks for itself. About the Role: As the Senior Data Scientist, you will play a key role in Developing advanced marketing measurement capabilities that unlock our company vision to transform the measure of marketing success. You will be at the forefront of developing and delivering differentiated AI assisted marketing data science and measurement solutions focused on maximizing profitable enterprise revenue and customer value for our clients. Partnering with driven, solution-minded experts, business leaders, analysts, and scientists at Ovative in engaging with clients, and defining approaches and road maps for solutions to client problems. Technical mentoring of junior data scientists, guiding their algorithmic, testing methodological approaches, and reviewing their code. Working with technology leaders, product owners and engineers to convert novel solutions developed to scalable new services and product offerings at Ovative . Being a part of an inclusive culture that inspires and motivates the team and attracts new, diverse technical talent to the organization. Responsibilities of a Sr. Data Scientist: Lead technical contributor in a high-performance data science & advanced analytics team, responsible for your team’s productivity, operational excellence, and business impact Drive value across multiple business verticals by leading the technical development and deployment of impactful and interpretable models Partner closely with Engineering and Product Management to scale your team’s innovative measurement solutions into product and service offerings Provide mentoring, training, and other opportunities for effective technical development of data scientists Assist with technical parts of business development as needed, including RFP response , sales and conference presentations using A I assistance where applicable. Build strong relationships across the organization to understand internal stakeholder needs for trusted data science support Requirements: 5+ years of hands-on experience in data science, analytics, or a related quantitative field, with a strong track record of delivering business value through technical innovation. Proven success as a technical contributor in high-performing data science teams , preferably within product-centric or consulting environments . Very Important : Ability to quickly learn and execute Expertise in advanced statistical modeling and machine learning , with hands-on experience preferred in techniques such as: Media Mix Modeling (MMM) , Incrementality Testing/Causal Inference , Attribution Modeling , Customer Analytics: Lifetime Value (CLV) Modeling, Segmentation , and Generative AI Data Science Proficiency in the following preferred programming and data environments: Languages : SQL, and/or R or Python Tools : Git, Docker, dbt , MLflow , POSIT Supported IDEs , cloud notebooks Data platforms : BigQuery , Databricks Familiarity with cloud infrastructure and deployment practices (e.g., AWS/GCP/Azure), MLOps pipelines, and containerization. Experience with Bayesian / Probabilistic modeling frameworks (e.g., PyMC , Stan) is a plus. Strong business acumen , especially within digital and traditional marketing domains ; ability to translate data insights into clear strategic recommendations. Excellent communicator: able to lead conversations with technical and non-technical stakeholders , including senior client partners and internal executives. Demonstrated leadership and mentorship skills ; able to think independently, guide junior team members and influence cross-functional teams. Bonus: Familiarity with Generative AI applications in marketing analytics (e.g., using LLMs for data summarization, content tagging, or creative testing insights) . Pay Transparency At Ovative , we offer a transparent view into three core components of your total compensation package: Base Salary, Annual Bonus, and Benefits. The salary range for this position below is inclusive of an annual bonus. Actual offers are made with consideration for relevant experience and anticipated impact. Additional benefits information is provided below. For our Sr. Data Scientist positions, our compensation ranges from $ 90,000 to $132,000, which is inclusive of a 2 0 % bonus. Benefits of Working at Ovative Group : We provide strong, competitive, holistic benefits that understand the importance of your life inside and out of work. Culture: Culture matters and we’ve been recognized as a Top Workplace for ten years running because of it. We demand trust and transparency from each other. We believe in doing the hard and complicated work others put off. We’re open in communication and floor plan. We’re flat – our interns sit next to VPs, our analysts work closely with senior leaders, and our CEO interacts with every single person daily. Put together, these elements help foster an environment where smart people can support each other in performing to their highest potential. Ovative is committed to fostering an inclusive environment where everyone can participate and thrive. We do not tolerate discrimination of any kind, including on the basis of race, sexual orientation, gender identity, or gender expression. Our policies reflect this commitment—for example, our medical leave benefits are inclusive of same-sex partners, ensuring equitable care and support for all families. Compensation and Insurance: We strive to hire and retain the best talent. Paying fair, competitive compensation, with a large bonus incentive, and phenomenal health insurance is an important part of this mix. We’re rewarded fairly and when the company performs well, we all benefit. Tangible amenities we enjoy: Access to all office spaces in MSP, NYC, and CHI Frequent, paid travel to our Minneapolis headquarters for company events, team events, and in-person collaboration with teams Flexible paid vacation policy 401k match program Top-notch health insurance options, inclusive of same sex partners Family formation benefits including reimbursement options for fertility, pregnancy, and parenting needs Monthly stipend for your mobile phone and data plan Sabbatical program Charitable giving via our time and a financial match program Shenanigan’s Day Working at Ovative won’t be easy, but if you like getting your hands dirty, driving results, and being surrounded by the best talent, it’ll be the most rewarding job you’ll ever have. If you think you can make us better, we want to hear from you!

With 1,000 intelligence professionals, over $300M in sales, and serving over 1,900 clients worldwide, Recorded Future is the world’s most advanced, and largest, intelligence company! Team Lead, Data Science - Graph Quality  Recorded Future combats cyber security threats by delivering actionable intelligence from the Security Intelligence Graph . The Graph Quality team aggregates data from various sources and Indicators of Compromise (IOCs) to ensure that risk is properly attributed in the defender space graph.  Key Responsibilities: Manage a team of 3-4 developers  Mentor the team, plan team goals, and lead Agile scrum meetings to ensure that engineering deliverables are completed in a timely manner, with high quality Develop data pipelines to analyze and ingest data at scale Identify, scope, and own technical solutions to drive the successful execution of projects Create technical project plans and drive the successful execution of projects, with input from our Product team and other developers on your team Collaborate with Data Scientists, Data Engineers, and business leaders to scope and implement technical solutions  Qualifications: 2+ years of previous team leadership experience  5+ years of programming and experience in Data Science, including 1+ years of experience with Python programming 3+ years of experience with cloud computing tools, e.g. from AWS, Azure, or Google Cloud 1+ years of experience managing or leading a team Experience writing scalable, production-grade applications and ETL/ELT pipelines Efficient & accurate problem solving skills, including the ability to debug both software and data  Proven ability to analyze data and apply statistical techniques to draw accurate, impactful conclusions Proven success in delivering projects from design and implementation to release Excellent attention to detail & ability to work independently while delivering high-quality results Excellent written & verbal communication when collaborating with colleagues across various locations and timezones, designing technical approaches, and writing documentation  Eagerness to continue learning and teaching new skills to team members, in order to raise the bar across the team Track record of presenting information to stakeholders with varying levels of technical expertise Experience engaging with technical leaders across geographies and divisions/companies Preferred Qualifications: Familiarity with both batch and streaming pipelines Familiarity with any of the following: message buses (e.g. Kafka, RabbitMQ), NoSQL databases (e.g. MongoDB, AWS Neptune, Neo4j), ElasticSearch  Bachelor's/Master's degree in Computer Science, Mathematics, Statistics, Engineering, or equivalent experience Exposure to ML approaches, including experience productizing ML models Experience with developing REST APIs with Python frameworks (e.g. Flask, Django, FastAPI) Why should you join Recorded Future? Recorded Future employees (or “Futurists”), represent over 40 nationalities and embody our core values of having high standards, practicing inclusion, and acting ethically. Our dedication to empowering clients with intelligence to disrupt adversaries has earned us a 4.8-star user rating from Gartner and more than 45 of the Fortune 100 companies as clients. Want more info?   Blog & Podcast : Learn everything you want to know (and maybe some things you’d rather not know) about the world of cyber threat intelligence Linkedin , Instagram  &  Twitter : What’s happening at Recorded Future The Record : The Record is a cybersecurity news publication that explores the untold stories in this rapidly changing field Timeline : History of Recorded Future Recognition : Check out our awards and announcements We are committed to maintaining an environment that attracts and retains talent from a diverse range of experiences, backgrounds and lifestyles.  By ensuring all feel included and respected for being unique and bringing their whole selves to work, Recorded Future is made a better place every day. If you need any accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to our recruiting team at careers@recordedfuture.com   Recorded Future is an equal opportunity and affirmative action employer and we encourage candidates from all backgrounds to apply. Recorded Future does not discriminate based on race, religion, color, national origin, gender including pregnancy, sexual orientation, gender identity, age, marital status, veteran status, disability or any other characteristic protected by law. Recorded Future will not discharge, discipline or in any other manner discriminate against any employee or applicant for employment because such employee or applicant has inquired about, discussed, or disclosed the compensation of the employee or applicant or another employee or applicant. Recorded Future does not administer a lie detector test as a condition of employment or continued employment. This is in compliance with the law of the Commonwealth of Massachusetts, and in alignment with our hiring practices across all jurisdictions. Notice to Agency and Search Firm Representatives: Recorded Future will not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to Recorded Future, including those sent to our employees or through our website, will become the property of Recorded Future. Recorded Future will not be liable for any fees related to unsolicited resumes. Agencies must have a valid written agreement in place with Recorded Future's recruitment team and must receive written authorization before submitting resumes. Submissions made without such agreements and authorization will not be accepted and no fees will be paid.

As an Associate Analyst on the Marketing Sciences team, your curiosity never ends. You wonder about the application of data to digital experience, and   you   are eager to contribute to marketing science deliverables across a broad range of initiatives   (e.g.,   website analytics, data visualization, data integration, data engineering, and data management).   You   are able to   define and apply a logical approach to data   management and   analysis,   moving data from point A to point B in the right shape at the right time, and   enjoy collaborating and learning with others. You will: •   Automate manual processes using SQL, python, etc. •   Define solutions for using, extracting, and transforming data as driven by   the business need for knowledge and decision-making. •   Analyze documentation and propose data extraction solutions. •   Write code that uses APIs to move data through   pipelines and processes. •   Help to continuously improve the efficiency of existing automations and   maintain concise and accurate datasets and processes. •   Understand the nuances of   analyses on which cross-functional teams rely •   Explain the complexities involved with data extraction and transformation to team members across cross-functional groups •   Work closely with the rest of the Marketing Science and account teams to understand business context and logic •   Stay up to date on the latest industry news and techniques •   Assist in guiding data architecture and infrastructure design You have: •   Proficiency in English (B2+ level reading, writing, conversation) • Advanced studies in   a quantitative or technical field, including but not limited to:   Computer Science, Mathematics, Engineering, Statistics,   and/or related   disciplinesrequiring proficiency in data management, analysis,   and engineering fundamentals. •   Working knowledge of   SQL   (including PostgreSQL)   and python,   understanding of how to work with APIs   and database   components like schemas, tables, stored procedures, triggers, etc. •   Understanding of data and pipeline management and SDLC best practices, including but not limited to:   ETL/ELT; building and understanding DAGs; CI/CD; version-control •   Understanding of   basic data visualization methods and how to get the data in the right shape to tell a clear and concise story •   Demonstrated ability to learn   new tools and techniques in the data analytics domain   quickly •   A knack for documenting your work and processes thoroughly, clearly, and intuitively •   An ability to proactively communicate needs, roadblocks, statuses to   the team, stakeholders, and leadership with clarity – you’re not afraid to reach out for help and consultation whenever needed •   A demonstrated ability to adapt in adverse situations, think outside the box in collaboration with the team to come up with creative solutions to tough problems •   Strong critical thinking skills: you’re willing to ask questions and go the extra mile to understand processes   and to understand the   why   behind the work and not just the   how . •   A strong desire to learn and grow in your role. Nice-to-haves: •   Familiarity with working in AWS and DevOps. •   Familiarity with third party ETL/pipeline and data orchestration tools (e.g.,   Rivery/Boomi,   FiveTran, etc.) and/or distributed processing platforms like Databricks. •   Some exposure working with Tableau,   PowerBI, or similar business intelligence and visualization tools. •   Familiarity with at least one of the following areas is an asset: • Advertising platform pixel tracking • Dynamic Creative Optimization • Digital media taxonomy nomenclature • Experience with digital media intelligence platforms (e.g.,   SimilarWeb,   Brandwatch, etc.)   What We Offer: Maternity and parental leave extra days Competitive benefits packages Vacation, compassionate leave, sick days, and flex days Access to online services for families and new parents Diversity and Inclusion Board with 12 affinity groups Internal learning and development programs Enterprise-wide employee discounts And more… At Critical Mass, we value our employees and offer competitive compensation and benefits packages.  If you’re looking for a challenging and rewarding opportunity to make a significant impact on the lives of our employees, we encourage you to apply for this exciting position today! The Talent Team at Critical Mass is focused on ensuring we provide the best training, onboarding, and employee experience possible! Our new hires & employees are the future of our organization, and we want to set you up for long-term success. In an effort to do so, we expect our team to  work from an office a minimum of 3 days a week . The ask stems from our want to: Strengthen opportunity for continuous learning Improve collaboration and team relationships. Increase employee engagement This work model balances the need for individual flexibility while maintaining the relentless customer focus we provide at CM. We understand that not everyone may feel comfortable with this expectation, so we ask that you please let us know immediately if there are any concerns so we can help navigate accordingly.   Critical Mass is an equal opportunity employer.  The Critical Mass Talent Acquisition team will only communicate from email addresses that use the URLs criticalmass.com   and   us.greenhouse-mail.io . We will not use apps such as Facebook Messenger, WhatsApp, or Google Hangouts for communicating with you. We will never ask you to send us money, technology, or anything else to work for our company. If you believe you are the victim of a scam, please review your local government consumer protections guidance and reach out to them directly. If U.S. based:   https://www.consumer.ftc.gov/articles/job-scams#avoid If Canada based:   https://www.canada.ca/en/services/finance/consumer-affairs.html If U.K. based:   https://www.gov.uk/consumer-protection-rights If Costa Rica based: https://www.consumo.go.cr/educacion_consumidor/consejos_practicos.aspx  

About Us DELFI Diagnostics, Inc. (DELFI Diagnostics) is developing next-generation, blood-based tests that are reliable, accessible and deliver a new way to help detect cancer. Employing advanced machine-learning methods to whole-genome sequencing data, the DELFI ("DNA EvaLuation of Fragments for early Interception") platform is built to address the highest-burden health challenges. DELFI Diagnostics prioritizes solutions that have the potential to save lives on a global scale, including for historically underserved populations. DELFI Diagnostics’ platform relies on fragmentomics – the discovery that cancer cells are more chaotic than normal cells and, when they die, leave behind tell-tale patterns and characteristics of cell-free DNA (cfDNA) fragments. FirstLook Lung, for individuals eligible for lung cancer screening, is DELFI Diagnostics’ first laboratory-developed screening test and can be part of routine blood work. FirstLook Lung uses millions of data points to reliably identify individuals who may have cancer detected through low-dose CT, including early stage disease with a negative predictive value of 99.8 percent. This test has not been cleared or approved by the FDA. In our passionate pursuit to radically improve health outcomes, we serve humanity when we: Lead with Science, Anchor in Pragmatism : We pioneer life-changing science by ensuring quality, transparency, and rigor at all times. We explore thoughtfully, experiment smartly, and deliver impact with conviction. Build With & For All : We embrace diverse backgrounds to innovate and achieve together. We are not just building a product - we aim to disrupt the path of cancer for all - no matter geography or socioeconomic class Put We over I : We are a home for high-performing people. Through teamwork, we build collective intelligence. Each of us wins when those we serve and those who serve with us--win. We show up with empathy, humility, and integrity at every step of the journey. DELFI has 1-2 designated in-office working days each week for employees who live within within 50 miles of Palo Alto CA or Baltimore MD offices The head of Data Science is an accomplished computational biologist who works at the interface of cancer biology, genetics, genomics, and machine learning, and manages a team of data scientists, computational biologists, and ML scientists. This role will collaborate closely with teams in bioinformatics/software pipeline development, assay, and biostatistics to develop cutting-edge algorithms to detect cancer from blood samples. Reporting to the CTO, you will work closely with commercial, clinical and laboratory leadership to understand the indications and requirements of diagnostic algorithms, and to deliver these. You will also continue to develop the state of the art in machine learning, as described below. This position requires expertise in computational science, cancer biology, team leadership, and strong communication skills. This role is an excellent fit for those who are decisive, proactive and bring a balance of high IQ and EQ. What You'll Do Manage and lead a cross-functional team of data scientists, computational biologists, and bioinformatics engineers Oversee the development and delivery of cutting-edge machine learning algorithms to detect cancer from blood samples Collaborate with peers leading assay design & development, laboratory operations, and clinical development to substantively advance DELFIs R&D objectives Partner with IT & cybersecurity team lead to develop a 2-3 year technology roadmap, including in-house tooling for GenAI and ML infrastructure Represent DELFI externally at national and international conferences, and in strategic meetings with academic partners and governmental / regulatory bodies What You'll Bring to DELFI Required PhD (or MS and equivalent experience) in Computer Science, Computational Biology / Bioinformatics, Applied Mathematics, Statistics, Physics, or EE 10-15 years’ experience with a wide variety of classical and modern methods used in machine learning and AI (unsupervised, semi-supervised, or supervised learning) as evidenced by strong publication record and/or algorithms released into production 3+ years expertise in developing transformer models, neural networks, and/or representation learning as applied to biological problems 5+ years expertise programming in Python/R including modern ML frameworks (Tensorflow, Pytorch, or Jax), production compute environments (AWS/Nvidia), and versioning principles for reproducible model-building and evaluation 10+ years of experience leading and managing teams exemplifying best practice in recruiting, team-building, employee performance management and career development, goal-setting, and cross-functional collaboration Superb written, verbal communication, and influencing and presentation skills, including the ability to communicate complex concepts succinctly to a variety of audiences Decisive, intellectually curious, proactive, and composed with a balance of high IQ and EQ Preferred 3+ years of experience working in biotech/pharma/diagnostics Expertise in explainable models, interpretability/white-box models, and federated learning Background or interest in cancer genomics, molecular biology, and the latest genotyping and phenotyping techniques Total Compensation at DELFI is a combination of salary, bonus, equity, and benefits. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skillset, years & depth of experience, certifications & relevant education, geography. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. This position is not eligible for agency partnership. Resumes and outreach from staffing representatives will be declined.