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Department BSD NSU - Research About the Department Neurosurgeons at UChicago Medicine are devoted to patient care, research, and teaching. These experts in the Department of Neurological Surgery offer the full spectrum of neurosurgical services for children and adults with brain diseases including aggressive brain tumors, back and spine degenerative diseases, epilepsy, Parkinson's disease, and stroke. Our surgeons are truly at the forefront of neurosurgical care, utilizing the most advanced and sophisticated technologies and techniques to treat diseases of the brain and spine. Our expertise goes beyond that of delivering the best medical care; research is an integral part of our mission. With significant funding from the NIH in both bench and translational research, our staff and faculty are actively investigating complex conditions that affect the central nervous system, including cancer stem cell theory and aggressive brain cancers as well as the mechanisms behind cerebrovascular anomalies. This work serves as the groundwork for many new applications in neurosurgery, which will benefit patients for many years to come. Job Summary The job provides professional support and solves problems in collecting, organizing, and analyzing information from the University's various internal data systems as well as from external sources. The job performs data analysis assignments related to data manipulation, statistical applications, programming, analysis and modeling in order to support projects for the Department of Neurological Surgery. Responsibilities Supports trainees and interns with database handling and statistics generation in our neuro informatics laboratory. Produces quarterly outcomes reports for multiple registries using Python. Analyzes moderately complex data sets for the purpose of extracting and purposefully using applicable information. Provides professional support to staff or faculty members in defining the project and applying principals of data science in manipulation, statistical applications, programming, analysis and modeling. Cleans, transforms, merges, and matches between large and complex research and administrative datasets. Plans own resources to collect, organize, and analyze information from the University's various internal data systems as well as from external sources. Builds and analyzes statistical models and reproducible data processing pipelines using knowledge of best practices in machine learning and statistical inference. Serves as a single point of contact for all requests and engages other IT resources to assist as needed. May partner with other campus teams to assist faculty with data science related needs. Performs other related work as needed. Minimum Qualifications Education: Minimum requirements include a college or university degree in related field. Work Experience: Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline. Certifications: -- Preferred Qualifications Education: Advanced degree in Computer Science, Statistics, or Mathematics. Experience: Prior experience working in Neuro-Informatics at an academic medical center. Technical Skills or Knowledge: Experience developing and implementing machine learning solutions for real world use. Familiarity handling terabyte size datasets. Proficiency in Python. Preferred Competencies Ability to handle multiple tasks and assignments simultaneously. Problem-solving skills, including a strong ability to prioritize and collaborate. Excellent verbal and written communication skills. Proven ability to establish and stick to timelines. Excellent organizational skills, including strong attention to detail. Knowledge of university and research-related regulatory policies and procedures, including IRB procedures. Ability to train others. Application Documents Resume/CV (required) Cover Letter (required) When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application. Job Family Research Role Impact Individual Contributor Scheduled Weekly Hours 40 Drug Test Required No Health Screen Required No Motor Vehicle Record Inquiry Required No Pay Rate Type Salary FLSA Status Exempt Pay Range $70,000.00 - $100,000.00 The included pay rate or range represents the University's good faith estimate of the possible compensation offer for this role at the time of posting. Benefits Eligible Yes The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook. In addition to the base pay posted above, this position may be eligible for N/A Posting Statement The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination. Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form. All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position. The University of Chicago's Annual Security & Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: http://securityreport.uchicago.edu . Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.

Associate Director, Data Science This role is to be based near one of our offices in Los Angeles, Chicago, Austin, Oakland or New York. About us We turn customer challenges into growth opportunities. Material is a global strategy partner to the world's most recognizable brands and innovative companies. Our people around the globe thrive by helping organizations design and deliver rewarding customer experiences. We use deep human insights, design innovation and data to create experiences powered by modern technology. Our approaches speed engagement and growth for the companies we work with and transform relationships between businesses and the people they serve. About the Associate Director, Data Science position Material is seeking an Associate Director of Data Science who is passionate about helping clients make data-driven decisions. This role focuses on customer analytics using consumer surveys, first party datasets (CRM/CDP), and/or digital behaviors. You have experience integrating disparate data sources to transform both structured and unstructured data into meaningful insights using data-oriented programming languages, statistical modeling/machine learning, and/or business intelligence (BI) visualization software. This position requires not only strong technical and analytical acumen, but also the ability to translate findings into structured "data narratives" that resonate with non-technical clients. The ideal candidate has a background in statistical modeling, extraction and transformation in enterprise data warehouses, and experience with AI/ML. While this role is primarily analytics-focused, our team is part of a broader data and analytics practice, offering opportunities for collaboration on AI applications. Your role will encompass these areas of responsibility: Technical Extract, cleanse, and combine data from multiple sources and systems. Build statistical models to extract insights and predictions of client KPIs. Data manipulation in relational databases and/or data warehouses. Collaborate with research and strategy teams, manage clients, synthesize, and execute statistical analyses. Develop and continually improve multi-source data architecture and analytics procedures, systems, workflows, and data pipelines in collaboration with analysts, data scientists, and data engineers. Assess impact of data quality and coverage on downstream analytics; creatively problem-solve against blockers Managerial Deliver executive-ready analytics reviews and strategic points of view supported by quantitative and statistical analysis and clear, concise communication. Collaborate with team members to build client relationships and to deliver complex results and presentations , including recommendations for improvement. Scale personal impact through formal and informal leadership of junior analysts. Develop analytic plans and troubleshoot deviations from established plans. Prioritize and respond to ad-hoc requests for analysis and data needs quickly and accurately. Contribute to the development of end-to-end, data-driven solutions. Stay current on industry best practices to be able to formulate and execute point-of-view documentation. Manage multiple simultaneous projects and workstreams. Ideal experience: ~3+ years relevant experience in a dedicated data science or analytics role Proficiency in Python or R. Experience with data preparation and processing in data warehouses (Snowflake, Big Query and Amazon Web Services) for data mining. Expertise translating model insights and predictions into story-driven reports and presentations for stakeholders. Demonstrated ability to use data science to drive and communicate business impact. Familiarity with quantitative analysis and research methodologies. Experience managing and prioritizing work streams for 2-3 stakeholders and departments in different geographies. Bonus experience: Familiarity with clickstream data providers such as Disco, Luth, Verto, MFour, Behavix. Experience analyzing survey data. Experience with cloud-computing. Familiarity with time series models. Experience with complex B2C stakeholder ecosystems, including CRM platforms (Salesforce, Hubspot), CDPs (mParticle, Treasure Data, Segment), and ESPs (Salesforce, Braze, Marketo). Hands-on experience with dashboarding software: Tableau, Power BI, or Data Studio. Understanding of research methodologies for agile test & learn programs. This growth path for this role includes managerial responsibilities, thus opportunity for career growth includes providing leadership in this analytical space. As such, managerial experience, or strong indicators for being ready for managerial responsibilities are a major plus. Why work for Material? In addition to fulfilling, high-impact work, company culture and benefits are integral to determining if a job is a right fit for you. Here's a bit about who we are and highlights around what we offer. Who We Are & What We Care About Material is a global company and we work with best-of-class brands worldwide. We also create and launch new brands and products, putting innovation and value creation at the center of our practice. Our clients are in the top of their class, across industry sectors from technology to retail, transportation, finance and healthcare. Material employees join a peer group of exceptionally talented colleagues across the company, the country, and even the world. We develop capabilities, craft and leading-edge market offerings across seven global practices including strategy and insights, design, data & analytics, technology and tracking. Our engagement management team makes it all hum for clients. We prize inclusion and interconnectedness. We amplify our impact through the people, perspectives, and expertise we engage in our work. Our commitment to deep human understanding combined with a science & systems approach uniquely equips us to bring a rich frame of reference to our work. A community focused on learning and making an impact. Material is an outcomes focused company. We create experiences that matter, create new value and make a difference in people's lives. Pay Range: $95,000.00 - $125,000.00 The range shown represents a grouping of relevant ranges currently in use at Material. Actual range for this position may differ, depending on location and specific skillset required for the work itself. Equal Employment Opportunity All qualified applicants will receive consideration for employment without discrimination on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other factors prohibited by law. Privacy Statement Material is committed to protecting privacy in our recruiting processes for all candidates. For more information, please refer to our Privacy Policy. California-resident applicants should also refer to our California-resident Candidate Privacy Statement. If you need support with a privacy-related matter, please send an email to: privacyrequests@materialplus.io

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 Within the R&D organization, we seek an experienced director of clinical data science to lead a high-functioning team at the intersection of clinical data, measurement science, and software engineering best practices. In this role, you and your team will provide data engineering and analytics support for DELFI's clinical studies that inform current and future diagnostic products. What you'll do Lead and develop a high-performing team of data engineers and analysts, fostering a culture of innovation and excellence Design and oversee the execution of comprehensive study and sample dashboards that provide critical insights into clinical research Collaborate closely with clinical statistical scientists to optimize statistical programming activities and methodologies Clean, transform, and deliver clinical, assay, and biosample data streams that will be used to train and validate machine learning algorithms for cancer detection Establish and maintain robust Standard Operating Procedures and best practices for the lifecycle management of statistical code Partner with other quantitative science groups (assay statistics, biostatistics, data science) to develop and implement consistent data standards (e.g. FAIR) across the organization Drive technical strategy for clinical data infrastructure and analytics Collaborate with statistical scientists, data scientists, and staff in clinical data management & quality groups on analysis projects to support product development Partner with Software Engineering on the design and development of new data infrastructure for managing clinical and research data pipelines What you'll bring to DELFI Required Graduate degree in Biostatistics, Data Science, Computer Science, or a related quantitative field; 7-12 years of progressive experience in clinical data science or data engineering, depending on education level Deep expertise in statistical programming, data infrastructure, and analytics as evidenced by number of clinical studies supported, products released, or clinical study publications 10+ years’ experience in statistical programming languages (e.g. R, SAS, or Python), relational databases (e.g. SQL, object relational models), and version control (git). 3-5 years’ experience building and maintaining best-practice clinical data infrastructure and analytics pipelines (e.g. using Dagster or Airflow/Prefect) with the relevant dictionaries and ontologies (e.g. OWL, Clinical Trials Ontology, etc) Strong understanding of clinical research data management and regulatory requirements and standards in US and EU (e.g. CDISC, 21CFR11, GxP data integrity and validation, ICH E6/8) At least 2-4 years’ experience developing in vitro diagnostics, with a solid understanding of analytical & clinical validation and the product development process for IVD Able to balance strategy and tactics, e.g. executing complex projects with multiple stakeholders, turning business goals into actionable departmental and individual goals, proactively translating opportunities into strategic plans 5-8 years’ experience leading and motivating high-functioning teams, including skill in recruiting, onboarding, delegation, performance management, and career development Exceptional leadership, communication, and collaboration skills, including the ability to translate complex technical concepts for diverse stakeholders, negotiating and collaborating with senior leaders, peers, and external partners Preferred Background or interest in cancer genetics and genomics Basic understanding of machine learning concepts and statistics The expected US base salary range for this position is $210k - $270k plus 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.

Systems Engineer with Data Science Expertise -TS/SCI with Poly Job Category: Engineering Time Type:Full time Minimum Clearance Required to Start: TS/SCI with Polygraph Employee Type: Regular Percentage of Travel Required: None Type of Travel: Local The Opportunity: CACI is seeking talented Systems Engineers with Data Science experience to support our client's national defense initiatives in the Fort Meade, Maryland area. This role combines Systems Engineering and Technical Assistance (SETA) expertise with data science skills to advance critical defense objectives. Responsibilities: Manage system requirements and architecture development using frameworks like DoDAF and SOA Develop and allocate system and functional requirements across hardware, software, and personnel components Participate in Integrated Product Teams to design new capabilities Generate system concepts, architectures, and design solutions Create verification plans and processes for systems and subsystems Contribute to system engineering documentation (e.g., System Engineering Plans, Requirements Specifications) Define and manage interfaces between system components throughout the lifecycle Derive lower-level requirements from high-level stakeholder needs Develop requirements for Information Assurance Services and Security Mechani sms Qualifications: Required: BS or MS in Computer Science, Data Science, Statistics, Mathematics, or related field Current TS/SCI with Poly 7+ years of relevant experience (12+ years if no degree) Strong background in systems engineering for complex systems of systems Expertise in data science, including NLP and machine learning Experience with data extraction from unstructured sources (e.g., PDFs, CONOPS) Proficiency in Python, R, and ML frameworks (e.g., TensorFlow, PyTorch) Familiarity with data processing tools like Apache Tika and PDFMiner Desired: Qualitative analysis and data visualization expertise Experience with DoD projects and methodologies Strong communication and collaboration skills ____ What You Can Expect: A culture of integrity. At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation. An environment of trust. CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. A focus on continuous growth. Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy. Your potential is limitless. So is ours. Learn more about CACI here. ____ Pay Range: There are a host of 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 employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here. The proposed salary range for this position is: $85,800 - $180,200 CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

Application close date: Applications will be accepted on an ongoing basis until the requisition is closed. At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We're working to develop reusable, safe, and low-cost space vehicles and systems within a culture of safety, collaboration, and inclusion. Join our team of problem solvers as we add new chapters to the history of spaceflight! This role is part of Blue Origin Operations, which is comprised of Integrated Supply Chain, Facilities, and Security, and Safety, Quality, and Mission Assurance. This includes Manufacturing and Supply Chain support across all Blue Origin facilities. We are looking for a strategic and driven Sr. Manager to lead our Data Sciences & Analytics team within the Business Operations organization. This pivotal role demands a candidate with a strong manufacturing and operations background, outstanding communication skills, and proven experience managing cross-functional technical teams. We look forward to welcoming a central leader who can improve our operational efficiency through data-driven insights and pivotal initiatives. We are looking for someone to apply their technical expertise, leadership skills, and commitment to quality to positively impact safe human spaceflight. Passion for our mission and vision is required! Special Mentions: Relocation: Relocation assistance provided, if eligible. Location: Preferred locations include any of the major manufacturing sites in WA, FL, or AL. New Team Opportunity: This is an outstanding opportunity to join a newly formed team where you can make a significant impact from the ground up. Your leadership and vision will be instrumental in crafting the future of our data analytics initiatives and driving substantial business value. Responsibilities Include but not limited to: Strategy Development: Develop and coordinate the organization's data analytics roadmap to align with business and operational goals. Team Leadership: Leading, mentoring, and managing a team of Data Analysts, encouraging a collaborative, innovative, and high-performing team culture. Spearhead initiatives that integrate advanced analytics into our business processes, encouraging a culture centered around data. Metrics Management: Build a high-performing team and analytics platform that captures and reports on critical business performance metrics, including production rates, production costs, quality, scheduling, and workforce efficiency. Advanced Analytics: Drive strategic decisions through in-depth data exploration and analysis. Lead initiatives around advanced analytics, including machine learning, AI, and statistical modeling. Dashboards and Reporting: Develop dashboards and automated reporting to monitor trends and results. Collaborator Communication: Share findings and results with executive leadership in a clear and actionable way. Present and defend metrics to executive leadership. Problem-Solving: Possess outstanding problem-solving skills to assess and navigate complex data problems with creativity and analytical rigor. Minimum Qualifications: Bachelor's degree in data science, Computer Science, Statistics, Mathematics, Engineering, or related field. 8+ years of professional experience in data science, analytics, or a related field. 3+ years of experience in manufacturing, operations, and/or supply chain analytics. 3+ years of experience managing data science, analytics, or cross-functional technical teams. Proficiency in data analysis tools and languages (e.g., Python, SQL). Experience with data visualization tools (e.g., Tableau, PowerBI). Familiarity with big data platforms and cloud technologies. Demonstrated ability to lead and develop teams in a dynamic environment. Strong project management and prioritization abilities. Strong communication skills, with the ability to explain complex data concepts to technical and non-technical collaborators. Demonstrated capability to lead cross-functional projects and work closely with various collaborators. Must be a U.S. citizen or national, U.S. permanent resident (current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Ability to earn trust and maintain positive professional relationships Preferred Qualifications: Industry Experience: Experience in Aerospace Manufacturing. Specific Tools: Experience with data from Costpoint, Workday, Databricks, AWS, Confluence, and Cornerstone. Compensation Range for: CA applicants is $191,265.00-$267,771.00;CO applicants is $175,867.00-$246,213.45;WA applicants is $191,265.00-$267,771.00 Other site ranges may differ Culture Statement Don't meet all desired requirements? Studies have shown that some people are less likely to apply to jobs unless they meet every single desired qualification. At Blue Origin, we are dedicated to building an authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every desired qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Export Control Regulations Applicants for employment at Blue Origin must be a U.S. citizen or national, U.S. permanent resident (i.e. current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Background Check Required for all positions: Blue's Standard Background Check Required for Certain Job Profiles: Defense Biometric Identification System (DBIDS) background check if at any time the role requires one to be on a military installation Required for Certain Job Profiles: Drivers who operate Commercial Motor Vehicles with a Gross Vehicle Weight (GVW), Gross Vehicle Weight Rating (GVWR) or combination of power unit and trailer that meets or exceeds 10,001 lbs. and/or transports placardable amounts of hazardous materials by ground in any vehicle on a public road while in commerce, may be subject to additional Federal Motor Carrier Safety Regulations including: Driver Qualification Files, Medical Certification, Road Test, Hours of Service, Drug and Alcohol Testing (CDL drivers only), vehicle inspection requirements, CDL requirements (if applicable) and hazardous materials transportation/shipping training. Benefits Benefits include: Medical, dental, vision, basic and supplemental life insurance, paid parental leave, short and long-term disability, 401(k) with a company match of up to 5%, and an Education Support Program. Paid Time Off: Up to four (4) weeks per year based on weekly scheduled hours, and up to 14 company-paid holidays. Discretionary bonus: Bonuses are designed to reward individual contributions as well as allow employees to share in company results. Eligibility for benefits varies by role type, please check with your recruiter for a comprehensive list of the benefits available for this role. Equal Employment Opportunity Blue Origin is proud to be an Equal Opportunity/Affirmative Action Employer and is committed to attracting, retaining, and developing a highly qualified, diverse, and dedicated work force. Blue Origin hires and promotes people on the basis of their qualifications, performance, and abilities. We support the establishment and maintenance of a workplace that fosters trust, equality, and teamwork, in which all employees recognize and appreciate the diversity of individual team members. We provide all qualified applicants for employment and employees with equal opportunities for hire, promotion, and other terms and conditions of employment, regardless of their race, color, religion, gender, sexual orientation, gender identity, national origin/ethnicity, age, physical or mental disability, genetic factors, military/veteran status, or any other status or characteristic protected by federal, state, and/or local law. Blue Origin will consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state, and local laws, including the Washington Fair Chance Act, the California Fair Chance Act, the Los Angeles Fair Chance in Hiring Ordinance, and other applicable laws. For more information on "EEO Is the Law," please see here. Affirmative Action and Disability Accommodation Applicants wishing to receive information on Blue Origin's Affirmative Action Plans, or applicants requiring a reasonable accommodation in order to participate in the application and/or interview process, please contact us at EEOCompliance@blueorigin.com. California Applicant Privacy Notice If you are a California resident, please reference the CA Applicant Privacy Notice here.

Title: Data Science and Analytics Location: New York City Duration: 3 months to perm Responsibilities: •Deliver Data-driven, actionable insights •Analyze on-site customer journeys under an optimization-focused lens •Present insights to clients and account teams in a compelling and relevant story with recommendations backed by robust analysis •Provide strategic guidance on analytics and measurement strategies, while leading by example with an active delivery role •Develop an intimate understanding of our clients business and their customers, and pro-actively identify ways to help our clients achieve their goals •Work closely with account teams to identify opportunities, participate in sales pitches and strengthen leadership position in digital transformation •Collaborate with cross functional teams, including creative, design and technology to shape meaningful customer journeys and customer centric thinking Experience Guidelines: •3-6 years of experience with a focus in Site Analytics and Optimization or related fields. •Bachelor’s degree, in Marketing, Business, Engineering or a related field. •Passion for digital analytics, working with data and deriving insights to answer client business questions •Experience leading and delivering analytics engagements • Strong knowledge of the digital space and digital analytics •Strong communication and client service skills •Strong organizational skills and attention to detail •Strong consultative skills and the ability to challenge status quo and gain adoption •Comfort with working in and contributing to a fast-paced, team based environment •Management or mentorship experience - providing training, project support, career advice and delegated responsibilities •Proficiency in Adobe Analytics and other Adobe Marketing Cloud products, specifically Test and Target •Proven ability to influence stakeholder and senior leaders, and manage organizational change •Recruit and Manage team of ‘rock-star’ analysts •Build a customer obsessed culture and grow our business

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

About SandboxAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company's Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we've cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we're building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. About the Role: Join AQMed to revolutionize heart health using AI and advanced sensing for next-gen medical diagnostics. You will lead our Data Science/ Machine Learning (DS/ML) team and deliver impactful data products to benefit patients and physicians worldwide. In close collaboration with Product and Engineering, you will be responsible for designing and building data products that provide actionable and useful insights that are derived from our proprietary hardware & data. You excel in user-centricity, project execution, and you drive the development and delivery of data products that solve real-world user problems. You are excited by shipping functional, useful, and market-driven products and iterating them in the real world. The success indicators for this role include product adoption, user satisfaction, regulatory & quality success, time-to-market, and business impact. What You'll Do: As one of the AQMed leads, you'll work closely with Product & Engineering to define the vision, strategy, and roadmap for data products that align with business objectives, incorporating ML capabilities where valuable. Curiosity & partnership are critical: you will be working alongside other leads to optimize the entire signal processing chain, from sensors to final data output. Collaborate with AQMed leads to periodically and relentlessly prioritize our work to achieve BU-level goals using an OKR framework. Exemplify user-centricity by working closely with our clinical partners. Through rapid prototyping and iterative development, turn clinical insights, user needs, and business goals into clear product requirements and design specifications. Prioritize features by balancing business impact, user feedback, and technical feasibility to drive meaningful outcomes. Establish & track progress of DS/ML team-level OKRs, oversee timelines and budgets, and drive the end-to-end lifecycle of data products to ensure successful delivery and impact. Ensure the scalability, usability, and impact of ML models in production environments. Skillfully balance the need to execute quickly with the need to uphold a high standard in research. Keep abreast of the cutting-edge techniques that align with product requirements. Be a confident representative of AQMed internally within SandboxAQ and externally (for example, with clinicians, development partners, regulators, industry partners, etc). Identify opportunities (e.g. conference presentations & proceedings, peer-reviewed journals) to elevate our team members & showcase our team's capabilities. Lead & mentor a multidisciplinary team of data scientists and ML engineers. Foster a collaborative and innovative work environment, driving professional growth and excellence. About You: 10+ years in engineering and product leadership roles: You have served as an individual contributor in an engineering role. You have been an engineering manager. You excel as a leader at the intersection of Product Development & AI/ML. Advanced degree in engineering, computer science, AI, mathematics, or related field. Strong experience in AI-enabled data/ software medical product development from concept development (stage 0-3) through commercialization (stage 4+) You effectively communicate at the executive level, ensuring decisions are clearly linked to business objectives and routed to appropriate stakeholders for efficient action. Action-oriented: you proactively create solutions, knowing that a delay in our product launch means a delay in impacting patient care. You are willing and able to work from our Palo Alto location 50% of the time (hybrid). Nice to Haves Cardiovascular device/cardiology experience and familiarity/expertise in the electrophysiology of the heart. The US base salary range for this full-time position is expected to be $204k-$286k per year. Our salary ranges are determined by role and level. Within the range, individual pay is determined by factors including job-related skills, experience, and relevant education or training. This role may be eligible for annual discretionary bonuses and equity. SandboxAQ welcomes all. We are committed to creating an inclusive culture where we have zero tolerance for discrimination. We invest in our employees' personal and professional growth. Once you work with us, you can't go back to normalcy because great breakthroughs come from great teams and we are the best in AI and quantum technology. We offer competitive salaries, stock options depending on employment type, generous learning opportunities, medical/dental/vision, family planning/fertility, PTO (summer and winter breaks), financial wellness resources, 401(k) plans, and more. Equal Employment Opportunity: All qualified applicants will receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Accommodations: We provide reasonable accommodations for individuals with disabilities in job application procedures for open roles. If you need such an accommodation, please let a member of our Recruiting team know.

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

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

Leidos has an exciting opening for you, as our next TS/SCI cleared Product Owner , to play a critical role advancing the state of the art in mission-focused big data analytics and predictive analytics for DIA-National Media Exploitation Center (NMEC) under our 10-year DOMEX Technology Platform (DTP) contract. You will have impact as part of a mission focused, solutions oriented, and adaptive team that values innovation, collaboration, and professional development. The selected individual will work closely with the Lead Systems Engineer, Release Train Engineer, and government leads to decompose high priority requirements from the product roadmap into valuable delivered solutions, executing on requirements analysis, design, system integration, and system testing. Candidates for this position require an ability to understand and articulate both business and technical needs, transforming them into actionable items within a software development environment. As a Data Science Product Owner, you will assist a Data Science Team in delivering advanced data science and machine learning capabilities to push forward national security objectives, swiftly produce and analyze results, disseminate findings, and contribute to presentations with actionable intelligence insights. Our team supports both research and development projects as well as mission critical applications and the work includes applying machine learning libraries such as SciKit Learn, Keras, TensorFlow, or PyTorch to develop and train ML models. While most work is conducted on-site at our client location in Bethesda, MD, we offer a flexible schedule and, occasionally, some tasks may be performed remotely. Percentage of remote work will vary based on client requirements/ deliverables priorities. Fun stuff you will do on the job: Work closely with a tight-knit team of data scientists, as well as a larger team of software developers, network engineers, senior investigators, program managers, researchers, and data analysts to design, build, and optimize a Data Science platform to produce and analyze results, disseminate findings, and contribute to publications and presentations. Provide a single point of contact for the D3P Data Science Team with government customers and stakeholders. Participate in requirements sessions, briefings, and status meetings. Develop, manage and continually improve the backlog of work items for an Agile scrum team. Update and prioritize stories and epics via feedback from various program stakeholders ensuring the team is always working on the highest-value tasks. Provide technical support, coordination, and execution of product owner activities such as feature/requirements analysis, design, implementation planning, integration and test, sustainment, documentation, deployment, and system assessment. Support Scaled Agile Framework (SAFe) program increment planning and execution through creation of work tickets as well as program/system documentation using collaboration software. Participate in all Agile ceremonies to include daily stand up, planning, reviews, and retrospectives. Stay informed of increment and sprint progress and work with the team to identify and remove impediments and dependencies. Perform backlog refinement on a regular basis. This may include decomposing features into workable stories, prioritizing or reprioritizing items in the backlog for upcoming sprints, refining acceptance criteria and complexity estimates or removing tickets that are no longer relevant. Accept or reject completed work based on defined acceptance criteria to ensure delivery of high-quality software. To be successful in this role you need these skills (required): BS Degree and 12-15 years of prior experience or Masters with 10-13 years of prior relevant experience in a quantitative or analytical field such as Engineering, Computer Science, Systems Engineering, Mathematics, Economics, Statistics, Engineering, Physics, or Computational Social Science or related field. 10+ years of experience in data science, analytics, or quantitative intelligence analysis, and demonstrating progressive technical development and outcomes. Must have an active TS/SCI with polygraph security clearance. Experience as a Product Owner, Scrum Master or a similar role in an Agile software development team. Demonstrated ability to break down complex problems into actionable steps. Experience managing and prioritizing product backlogs effectively. Strong understanding of Agile methodologies, and experience with tools for ticketing and documentation (e.g., Gitlab, Jira, Confluence). Experience with facilitating scrum for the team (Planning, Retrospective, Grooming & Review/Demo) Excellent communication skills (verbal and written) to articulate technical and non-technical concepts to diverse audiences. Proven ability to work cross-functionally with engineering, design, and project management teams. Demonstrated ability to manage expectations and maintain strong relationships with stakeholders. You will wow us even more if you have some of these skills: A significant share of your data analytics experience in direct support of military or intelligence community customers, demonstrating progressive technical development and mission-focused outcomes. Significant experience dealing with at least two of the following data classes: open source, publicly available information (PAI); forensic media (i.e., DOMEX); measurement and signatures intelligence (MASINT); or cybersecurity and cyber forensics Agile certification: Certified Scrum Product Owner (CPSO), SAFe Agilist or other. Experience with Elastic Search, Kubernetes, and Python. Familiarity with continuous integration/continuous development tools (e.g., Gitlab, Jenkins, Bamboo). Experience with creating design packages and workflows. Experience in writing technical solutions and whitepapers. Original Posting: May 28, 2025 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $126,100.00 - $227,950.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

We are seeking a strategic, collaborative, and technically skilled Director of Data Science to lead and grow our data science team. In this role, you will shape the team’s vision, foster an inclusive and high- performing culture, and drive impactful machine learning and advanced analytics initiatives across the organization. You will work closely with cross- functional partners to address complex challenges and embed data science into our core products, services, and operations. The role will report to the VP of Data & Analytics. What You’ll Do Leadership & Strategy Define and lead the data science vision, strategy, and roadmap in alignment with business goals and measurable outcomes Act as a strategic advisor and thought leader, championing the adoption and responsible use of AI/ ML across the organization Advocate for ethical, transparent, and compliant data use, upholding standards of fairness and accountability in all initiatives Team Development & Management Build, mentor, and lead a high- performing, collaborative team of data scientists Foster a culture of inclusion, innovation, and continuous learning within the team Set clear goals and development plans to support team growth and success Cross-Functional Collaboration Partner closely with Sales, Product, Marketing, Customer Success, Engineering, and other teams to drive impactful data science initiatives Serve as a bridge between technical teams and business units, ensuring alignment on priorities, deliverables, and strategic value Analytical & Communication Excellence Translate complex, ambiguous problems into structured, actionable analytical solutions Deliver clear, compelling insights to both technical and non- technical audiences through storytelling and data visualization Present findings and strategic recommendations to senior and executive stakeholders to influence high- level decisions Model Development & Operations Oversee the full lifecycle of machine learning models, including development, validation, deployment, monitoring, and continuous improvement Collaborate with Data Engineering to design scalable, well- defined data assets, features, and metrics that support evolving analytical and product needs Standards & Best Practices Establish and promote best practices in experimentation, modeling, data governance, and model reproducibility Ensure robust documentation, version control, and transparency across all projects to support sustainability and auditability What You’ll Need Minimum Qualifications 8+ years in data science or machine learning roles, including 3+ years in a leadership position Advanced degree (PhD/MS) in a quantitative field such as Computer Science, Statistics, Mathematics, or similar Proven experience deploying machine learning models at scale in production environments Preferred Qualifications Background in SaaS or experience working with B2B business models Strong programming skills in Python and experience with ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Deep understanding of statistical modeling, causal inference, and A/B testing Excellent communication and stakeholder management skills Familiarity with modern data stacks: cloud data warehouses (Snowflake, BigQuery), orchestration tools, and MLOps platforms Experience with NLP, recommendation systems, or time-series forecasting. Experience managing and growing technical talent Working Conditions & Travel Requirements Reliable internet access for any period of time working remotely, not in a Workiva office Up to 20% travel ​ How You’ll Be Rewarded ✅ Salary range in the US: $177,000.00 - $284,000.00 ✅ A discretionary bonus typically paid annually ✅ Restricted Stock Units granted at time of hire ✅ 401(k) match and comprehensive employee benefits package The salary range represents the low and high end of the salary range for this job in the US. Minimums and maximums may vary based on location. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience and other relevant factors. Workiva is an Equal Employment Opportunity and Affirmative Action Employer. We believe that great minds think differently. We value diversity of backgrounds, beliefs, and interests, and we recognize diversity as an important source of intellectual thought, varied perspective, and innovation. Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression genetic information, marital status, citizenship status or any other protected characteristic. We strongly encourage and welcome people from historically marginalized groups to apply. Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email talentacquisition@workiva.com . Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards. Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment. #LI-LP1

Application close date: Applications will be accepted on an ongoing basis until the requisition is closed. At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We're working to develop reusable, safe, and low-cost space vehicles and systems within a culture of safety, collaboration, and inclusion. Join our team of problem solvers as we add new chapters to the history of spaceflight! This role is part of Blue Origin Operations, which is comprised of Integrated Supply Chain, Facilities, and Security, and Safety, Quality, and Mission Assurance. This includes Manufacturing and Supply Chain support across all Blue Origin facilities. We are looking for a strategic and driven Sr. Manager to lead our Data Sciences & Analytics team within the Business Operations organization. This pivotal role demands a candidate with a strong manufacturing and operations background, outstanding communication skills, and proven experience managing cross-functional technical teams. We look forward to welcoming a central leader who can improve our operational efficiency through data-driven insights and pivotal initiatives. We are looking for someone to apply their technical expertise, leadership skills, and commitment to quality to positively impact safe human spaceflight. Passion for our mission and vision is required! Special Mentions: Relocation: Relocation assistance provided, if eligible. Location: Preferred locations include any of the major manufacturing sites in WA, FL, or AL. New Team Opportunity: This is an outstanding opportunity to join a newly formed team where you can make a significant impact from the ground up. Your leadership and vision will be instrumental in crafting the future of our data analytics initiatives and driving substantial business value. Responsibilities Include but not limited to: Strategy Development: Develop and coordinate the organization's data analytics roadmap to align with business and operational goals. Team Leadership: Leading, mentoring, and managing a team of Data Analysts, encouraging a collaborative, innovative, and high-performing team culture. Spearhead initiatives that integrate advanced analytics into our business processes, encouraging a culture centered around data. Metrics Management: Build a high-performing team and analytics platform that captures and reports on critical business performance metrics, including production rates, production costs, quality, scheduling, and workforce efficiency. Advanced Analytics: Drive strategic decisions through in-depth data exploration and analysis. Lead initiatives around advanced analytics, including machine learning, AI, and statistical modeling. Dashboards and Reporting: Develop dashboards and automated reporting to monitor trends and results. Collaborator Communication: Share findings and results with executive leadership in a clear and actionable way. Present and defend metrics to executive leadership. Problem-Solving: Possess outstanding problem-solving skills to assess and navigate complex data problems with creativity and analytical rigor. Minimum Qualifications: Bachelor's degree in data science, Computer Science, Statistics, Mathematics, Engineering, or related field. 8+ years of professional experience in data science, analytics, or a related field. 3+ years of experience in manufacturing, operations, and/or supply chain analytics. 3+ years of experience managing data science, analytics, or cross-functional technical teams. Proficiency in data analysis tools and languages (e.g., Python, SQL). Experience with data visualization tools (e.g., Tableau, PowerBI). Familiarity with big data platforms and cloud technologies. Demonstrated ability to lead and develop teams in a dynamic environment. Strong project management and prioritization abilities. Strong communication skills, with the ability to explain complex data concepts to technical and non-technical collaborators. Demonstrated capability to lead cross-functional projects and work closely with various collaborators. Must be a U.S. citizen or national, U.S. permanent resident (current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Ability to earn trust and maintain positive professional relationships Preferred Qualifications: Industry Experience: Experience in Aerospace Manufacturing. Specific Tools: Experience with data from Costpoint, Workday, Databricks, AWS, Confluence, and Cornerstone. Compensation Range for: CA applicants is $191,265.00-$267,771.00;CO applicants is $175,867.00-$246,213.45;WA applicants is $191,265.00-$267,771.00 Other site ranges may differ Culture Statement Don't meet all desired requirements? Studies have shown that some people are less likely to apply to jobs unless they meet every single desired qualification. At Blue Origin, we are dedicated to building an authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every desired qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Export Control Regulations Applicants for employment at Blue Origin must be a U.S. citizen or national, U.S. permanent resident (i.e. current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Background Check Required for all positions: Blue's Standard Background Check Required for Certain Job Profiles: Defense Biometric Identification System (DBIDS) background check if at any time the role requires one to be on a military installation Required for Certain Job Profiles: Drivers who operate Commercial Motor Vehicles with a Gross Vehicle Weight (GVW), Gross Vehicle Weight Rating (GVWR) or combination of power unit and trailer that meets or exceeds 10,001 lbs. and/or transports placardable amounts of hazardous materials by ground in any vehicle on a public road while in commerce, may be subject to additional Federal Motor Carrier Safety Regulations including: Driver Qualification Files, Medical Certification, Road Test, Hours of Service, Drug and Alcohol Testing (CDL drivers only), vehicle inspection requirements, CDL requirements (if applicable) and hazardous materials transportation/shipping training. Benefits Benefits include: Medical, dental, vision, basic and supplemental life insurance, paid parental leave, short and long-term disability, 401(k) with a company match of up to 5%, and an Education Support Program. Paid Time Off: Up to four (4) weeks per year based on weekly scheduled hours, and up to 14 company-paid holidays. Discretionary bonus: Bonuses are designed to reward individual contributions as well as allow employees to share in company results. Eligibility for benefits varies by role type, please check with your recruiter for a comprehensive list of the benefits available for this role. Equal Employment Opportunity Blue Origin is proud to be an Equal Opportunity/Affirmative Action Employer and is committed to attracting, retaining, and developing a highly qualified, diverse, and dedicated work force. Blue Origin hires and promotes people on the basis of their qualifications, performance, and abilities. We support the establishment and maintenance of a workplace that fosters trust, equality, and teamwork, in which all employees recognize and appreciate the diversity of individual team members. We provide all qualified applicants for employment and employees with equal opportunities for hire, promotion, and other terms and conditions of employment, regardless of their race, color, religion, gender, sexual orientation, gender identity, national origin/ethnicity, age, physical or mental disability, genetic factors, military/veteran status, or any other status or characteristic protected by federal, state, and/or local law. Blue Origin will consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state, and local laws, including the Washington Fair Chance Act, the California Fair Chance Act, the Los Angeles Fair Chance in Hiring Ordinance, and other applicable laws. For more information on "EEO Is the Law," please see here. Affirmative Action and Disability Accommodation Applicants wishing to receive information on Blue Origin's Affirmative Action Plans, or applicants requiring a reasonable accommodation in order to participate in the application and/or interview process, please contact us at EEOCompliance@blueorigin.com. California Applicant Privacy Notice If you are a California resident, please reference the CA Applicant Privacy Notice here.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science is at the heart of Lyft's products and decision-making. As a member of the Rider & Safety team, you will work in a dynamic environment, where we embrace moving quickly to build the world's best transportation. Data Scientists take on a variety of problems ranging from shaping critical business decisions to building algorithms that power our internal and external products. We're looking for passionate, driven Data Scientists and managers to take on some of the most interesting and impactful problems in ridesharing. We're seeking a highly analytical and product-focused leader with strong business intuition, technical expertise, and a collaborative mindset. The ideal candidate is deeply curious, comfortable navigating ambiguity, and passionate about leveraging data to drive product strategy and business outcomes. As the data science manager, you'll help develop the vision, set roadmaps, and lead execution for projects in Rider New Product & Partnerships. These pods are responsible for some of the key strategic initiatives in Rider, with frequent exposure to the company's senior leadership team. You will be reporting to the Senior Data Science Manager leading Lyft's Rider & Safety Data Science & Analytics team. Responsibilities: Lead and grow a high-performing team of data scientists with various backgrounds including analytics, experimentation, machine learning, and causal inference. Lead and coach the team to investigate complex problems and identify key drivers of product performance and customer behavior Be a thought leader and go-to expert for goals, strategy, and long-term vision Develop clear, insight-driven narratives about our users, translating findings into actionable recommendations Influence product roadmaps by forming data-backed perspectives and guiding prioritization decisions Operate effectively at both the strategic and tactical levels, including regular engagement with senior leadership Facilitate and foster a data-driven culture and informed decision making and prioritization Design and implement data frameworks to evaluate and prioritize high-impact product initiatives Experience: Advanced degree in a quantitative field like computer science, statistics, economics, operations research, or engineering; or relevant work experience 6+ years of hands-on technical experience in machine learning, causal inference, or data science 4+ years of management experience building and leading data science teams Strong track record of using machine learning and data science to improve business outcomes Strong track record of guiding teams through unstructured technical problems to deliver business impact Skilled at managing cross-functional relationships and communicating with leadership across multiple teams Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible Subsidized commuter benefits Lyft Pink- Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule- Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid The expected base pay range for this position in the San Francisco area is $176,000 - $220,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process. Total compensation is dependent on a variety of factors, including qualifications, experience, and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

General Summary: Elevate is a technology firm which develops next-generation financial products focused on managing life's everyday expenses. The Data Science team conceptualizes, develops, deploys, and maintains predictive models using advanced statistical and machine learning methods. These models are used in Elevate's Underwriting, Account Management, and Operations applications. The Sr. Data Scientist plays a critical role by applying cutting-edge modeling techniques to drive growth, control risk, and ensure operations excellence. Primary Responsibilities: Manage a team of data scientists through predictive models and analytical exercises to deliver business value, innovative approaches and quality execution. Design, Develop and Deploy advanced machine learning and Artificial Intelligence algorithms/predictive models for use in Underwriting, Customer Management, Marketing, and Operations; Functional lead and point of contact with business partners to support the needs and goals of all Elevate portfolios, Rock teams, and Pods. Assess, clean, merge, and analyze large datasets adhering to standardized data manipulation techniques and methodology by leveraging Python, Spark, Snowflakes, etc. Design, Develop and Deploy linear, nonlinear, and other ML algorithms for testing, development and deployment into our underwriting engine in the application of risk management in all of Elevate's acquisition channels; Efficiently apply data mining methodologies to minimize credit/fraud losses, maximize response and approval rates, and develop methods to enhance profitability of Elevate products; Successfully implement scoring models on multiple decision platforms Including cloud. Provide knowledge, insight and guidance of third party data providers such as Transunion, Clarity/Experian and Equifax to include knowledge of products and data available, products to purchase or discontinue, cost benefit analysis of retrospective analysis, effective use of variables, data dictionaries as well as advantages and limitations; Maintain clear, detailed model documentation on our Wiki Server by leveraging reproducible research technologies such as Jupyter Notebook, Rmarkdown, etc. Experience and Education Master's degree in highly quantitative field (Statistics, Economics, Mathematics, Engineering, or other quantitatively-oriented degree). Ph.D. preferred. At least six years of experience in Data Science or Modeling for consumer lending, two years of leadership experience in highly quantitative teams; Professional experience waived with at least four years of Data Science or Modeling experience and Ph.D. Degree in highly quantitative field (Statistics, Economics, Mathematics, or other quantitatively oriented degree) Superior communication skills for communication with Risk Management peers and executive team Proven experience working in fast-paced environment with ever-changing demands Demonstrated proficiency with advanced statistical modeling and substantial experience with machine learning techniques (e.g., Random Forest, Gradient Boosting, LASSO, Elastic Net, etc). Knowledge various penalized regression and classification methods a plus; Strong data skills, with ability to conduct substantial data munging/engineering. Proficiency with Linux, R, Python, or Java; expertise with versioning software (e.g., Git), big data solutions and data processing frameworks (e.g., Spark, Hadoop); Experience with database technologies such as Snowflakes, Hadoop, Apache Hive/Impala, Spark, NoSQL, JSON & XML parsing, etc. Proficiency of contemporary supervised and unsupervised data mining techniques a plus California Employee Privacy Policy | Family & Medical Leave Act | Employee Polygraph Protection Act |E-Verify #LI-BJ1

Overview Job Summary: The IS Manager is responsible for planning, leading, organizing, and motivating the data science teams within the Connected Program to achieve a high level of performance and quality in delivering exceptional business value to users. The IS Manager is expected to lead and manage the development, deployment, and support of new and existing capabilities as it relates to artificial intelligence and business intelligence software, services, and platforms and integrated systems/solutions to meet the current and future needs of the business. This role is responsible for managing agile team in a high visibility global program (Connected) using various methods in a fast-paced environment that crosses multiple business divisions and operating companies globally. The IS Manager may play many different roles in actual practice: At an enterprise level, leading and managing large, complex technical deliverables consisting of multiple cross functional teams delivering AI and BI-driven predictions and recommendations to business users At a team level, orchestrate the continued formation and success of a high performing group of individuals with disparate technology backgrounds and skills with the purpose of producing the highest quality AI and BI solutions Drive the successful delivery of product-based initiatives across multiple teams and release trains In-office presence required at least 4 days per week Responsibilities Essential Functions: Drive team members to develop practices and processes that optimally advance the translation of effort into value creation; minimize total cost of ownership by establishing high bar on quality including test driven development, continuous integration, and automated unit testing; establish metrics to measure and help the teams improve Provide input to assist the Delivery Manager to implement Best Practices, SDLC standards, and champion ongoing process improvement initiatives to implement best practices. Work closely with the Enterprise Data team to collaborate on data governance standards, platforms, and shared data models Establish direction and clear sense of meaning to inspire teams in creating their own connection and passion to the business goals Act as technology owner, accountable for development and configuration implementation of capabilities related to data science, machine learning, Salesforce, Snowflake, Google Cloud Platform, Elasticsearch, and other related platforms Partner with Platform Architect, Product Owners and Business Sponsors in providing transparency in execution and monitoring within delivery plans. Manage deliverables, status, and quality elements throughout the lifecycle for work efforts that may span multiple functions, departments, and processes Identify risks, create mitigation plans and drive deliverables for production launches and articulate any operational/performance gaps needing to be addressed Provide recommendations for operational efficiency and process improvements subject to management review in support of change Supervisory or Management Responsibility: Act as Coach-Leader, coaching others in their development as leaders, catalyzing the growth of people's capacity to embrace greater complexity, and focus on helping others formulate their development agenda Assist in team development while holding teams accountable for their commitments, removing roadblocks to their work; leveraging organizational resources to improve capacity for project work; and mentoring team members Promote empowerment of the team, ensure that each team member is fully engaged in the project and making a meaningful contribution, and encourage a sustainable pace with high-levels of quality for the team Management responsibility for the teams, including hiring, leadership, development and accountability for performance. Establish operational/team objectives and goals. Evaluate conceptual aspects of technical designs of applications, systems and solutions to ensure sound decisions and investments are made in accordance with application architecture governance policies and standards. Budget Responsibility: Develops and manages budget Produces monthly forecasts Approves operational expenditures Determines variance of actual to forecast and takes action to correct/explain variances Plans capacity fluctuations based on roadmap of features Qualifications Minimum Education and/or Experience: BA or BS or equivalent experience is required Strong interpersonal skills including mentoring, coaching, collaborating, and team building Strong analytical, planning, and organizational skills with an ability to manage competing demands Proven ability to lead software development teams and efforts and ensure objectives, goals, and commitments are met Excellent oral and written communications skills and experience interacting with both business and IT individuals at all levels including the executive level Thorough understanding of project management methodologies, Agile continuous development and Systems Implementation Life Cycle Able to identify and understand complex problems/issues and develop solutions Experience with enterprise-scale applications Strong leadership, group facilitation, organizational, analytical and communication skills Experience working in an offshore/onshore collaborative environment Ability to travel internationally without restrictions required. Skills and Abilities: Solid understanding of Agile software development life cycle models Experience overseeing multi-function teams with at least 10-15 team members including developers, business analysts, UX/front-end developers and QA personnel Prior experience managing both software development and data science teams and initiatives Prior software development or data science experience - a plus Consulting background - a plus Software development or data science hands-on experience - a plusSalesforce, Snowflake platforms - a Plus Core Competencies: Build relationships Develop people Lead change Inspire Others Think critically Communicate clearly Create Accountability B enefits Overview: Benefits are subject to change and may be subject to specific elections, plan, or program terms. This role is eligible for the following: Medical, dental & vision Hospital plans 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available Life Insurance (Company paid Basic Life and AD&D as well as voluntary Life & AD&D for the employee and dependents) Company paid Short and long-term disability Health & Dependent Care Spending Accounts (HSA & DCFSA) Transportation benefits Employee Assistance Program Tuition Assistance Time Off/Leave (PTO, Allegis Group Paid Family Leave, Parental Leave) Salary Range: $116,600.00 - $174,800.00 This position is bonus eligible The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email Lauren Lara at llara@allegisgroup.com or call 410-579-3526 for other accommodation options.

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

At PrizePicks, we are the fastest-growing sports company in North America, as recognized by Inc. 5000. As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues, including the NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 450 employees thrives in an inclusive culture that values individuals from diverse backgrounds, regardless of their level of sports fandom. Ready to reimagine the DFS industry together? The PrizePicks Analytics Team is responsible for building and maintaining analytical tools and products to support the PrizePicks business across all departments - at the core of these operations is data. As Data Science Engineering Manager , you will lead a team to develop, test, maintain, and evolve initiatives in streaming data, productionized algorithms, and MLOps infrastructure to mature PrizePicks’ digital offering. What you’ll do: Lead a team to create and maintain sport and user data stream architecture, ensuring data reliability, low latency, and high throughput for both raw and transformed data pipelines. Collaborate with our Data Science team to determine the best paths for operationalizing DS/ML assets, ensuring model output quality, stability, and scalability. Steer the design, implementation, and deployment of the data, MLOps, and API stack required for real-time pricing models, personalization/recommendations, risk management tooling, and other critical functions by contributing to architecture evaluations and decisions for the evolving data product roadmap. Partner cross-functionally with Engineering, QA, and Product teams to enable the creation and distribution of highly-visible and real-time data products to the PrizePicks platform. Empower teams to build and own rigorous monitoring and alerting services and work with Engineering and DevOps teams to ensure stability and complete uptime of our production services. Solidify and disseminate information and ideas through rigorous documentation, roadmaps, and knowledge transfer processes within and across teams. Act as a thought leader in the broader PrizePicks technology org, staying abreast of and implementing novel technologies and stewarding best practices both upward and downward within your direct team and to other people leaders/collaborators alike. What you have: Track Record 3+ years in a people leadership role, managing and growing a team of Associate through Staff level Data Science Engineers/Machine Learning Engineers/ML-focused Software Engineers. Extensive experience working cross-functionally with data engineering, data science, product, and engineering teams, as well as external data providers and 3rd party services. Proven experience (both personally and in leading a team) in Backend Engineering/Machine Learning Engineering shipping and maintaining production-grade systems for internal tools and product users. Role Specific Experience with simulation frameworks, personalization, and/or near real-time consumer-facing machine learning implementations. Strong understanding of software development life cycle principles related to shipping critical and always-on services in the cloud. Experience/familiarity in most of the following technology/stack areas: Scripting languages: Python, SQL. SQL/NoSQL databases/warehouses: Postgres, BigQuery, BigTable. Cloud platform services in GCP and analogous systems: Cloud Storage, Cloud Compute Engine,Cloud Functions, Kubernetes Engine, Redis. Code testing libraries: PyTest, PyUnit, etc. Common ML and DL frameworks: scikit-learn, PyTorch, Tensorflow. Modeling methods: classical ML techniques, exposure to deep learning, gradient boosting, bayesian methods, and generative models. MLOps tools: DataBricks, MLFlow, Kubeflow, DVC. Data pipeline and workflow tools: Airflow, Argo Workflows, Cloud Workflows, Cloud Composer, Serverless Framework. Monitoring and Observability platforms: Prometheus, Grafana, Datadog, ELK stack. Infrastructure as Code platforms: Terraform, Google Cloud Deployment Manager, Pulumi. Other platform tools such as FastAPI, Docker, and data visualization tools such as Streamlit or Dash. Industry Specific A passion for daily fantasy sports and an understanding of the users, data, and competitive landscape. Personal Attributes Purposeful people growth, mentorship experience, and coaching perspective. Excellent organizational, communication, presentation, and collaboration experience with organizational technical and non-technical teams. Graduate degree in Computer Science, Statistics, Mathematics, Informatics, Information Systems or other quantitative field. Advanced degree preferred. What makes you stand out: Experience building with or leading a team using Rust, Go, or other high-performance programming languages. Experience building real-time production data science pipelines in a daily fantasy sports or odds-making business. Experience shipping products in both the D2C and B2B SaaS operational spaces. Experience deploying and upholding regulated data products. Where you’ll live: While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates. #LI-Remote Working at PrizePicks: The typical salary range for this position is $155,000 to $215,000. At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges. The compensation info you see on our job postings gives you an idea of the starting pay range for the position. Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education. Your recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process This application period will remain open for 30 days. We’re committed to finding the best candidate, so this date may be adjusted, and any changes will be reflected in this posting. Date Posted: 1/17/2025 First Extension: 2/17/2025 Second Extension: 3/17/2025 Third Extension: 4/17/2025 Fourth Extension: 5/17/2025 Benefits you’ll receive: In addition to your great compensation package, full-time employees will be eligible for the following perks: Company-subsidized medical, dental, & vision plans 401(k) plan with company match Annual bonus Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!) Generous paid leave programs, including 16-week paid parental leave and disability benefits Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked Company-wide in-person events and team outings Lifestyle enhancement program Company equipment provided (Windows & Mac options) Annual performance reviews with opportunities for growth and career development You must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. PrizePicks is an Equal Opportunity Employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

DS position 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.