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Who are we: A professional basketball team and state-of-the-art arena/entertainment venue that specializes in creating memorable experiences for each guest we interact with. Some of our favorite things are live sports, concerts, comedy shows, family shows, and most any other world-class event you can think of, and we’re looking for someone who shares the same interests. We live for the fast-paced world of sports & live entertainment, and as such, we work hard, run fast, execute flawlessly, and party it up when it all comes together. Lastly, we strive to deliver wonderful experiences that create lasting memories, and we prefer to surround ourselves with those who are the best at what they do. Who are you : An enthusiastic lover of sports, live entertainment, and people. You have true passion for engaging in meaningful interactions and creating memorable experiences for all guests. You strive to be helpful, engaging, and knowledgeable of all things Atlanta Hawks and State Farm Arena. You enjoy being a part of an exciting and dynamic group, and you’re committed to continuously enhancing the productivity and effectiveness of your team. Lastly, you enjoy working hard and celebrating hard, and you’d be shocked if guests weren’t positively impacted by their interactions with you. Beyond the buzzer and bright lights, the Atlanta Hawks are igniting a new era of data-driven excellence, where analytics fuels bold strategies and drives transformative business impact. We're rethinking how data shapes decisions, moving beyond spreadsheets and dashboards to stories that drive decisive action within our organization. This isn't just about numbers; it's about building relationships that translate insights into a driver of unforgettable fan experiences and measurable growth across every corner of the organization. As a member of Hawks iQ, we aim to be visionaries who can see beyond the data to uncover opportunities others miss, partnering with leaders who shape everything from the roar of the crowd to the strategic vision of an organization that defines Atlanta's spirit. Join us, and your work won't just live in dashboards—it will echo through State Farm Arena, influence millions of fans, and help write the next chapter for one of the NBA's most dynamic organizations. This is analytics that matters, for a brand that matters, in a city that matters. About the Role The Senior Director, Data Science will be responsible for building and leading a brand-new capability within the Atlanta Hawks organization, leveraging predictive modeling and machine learning to accelerate decision-making across critical business functions. This leader will be at the forefront of driving impactful insights, developing cutting-edge models, and influencing strategic decisions with measurable results. With a focus on pricing optimization, demand forecasting, and fan engagement prediction, this role will be instrumental in identifying hidden patterns, optimizing revenue strategies, and shaping the future of consumer engagement. The Senior Director will create the roadmap for this new function, prioritize efforts based on business needs, and build a high-impact team to bring these capabilities to life. Success in this role requires deep technical expertise, the ability to translate complex insights into actionable strategies, and the leadership skills to drive collaboration across teams. The ideal candidate will be both a hands-on data scientist and a strategic leader who can communicate advanced analytics in a way that resonates with executives and business stakeholders. Key Responsibilities: Predictive Analytics & Decision Science Develop and implement predictive models that drive pricing optimization, revenue forecasting, and customer engagement scoring. Build machine learning and AI-driven models that surface demand signals, predict consumer behaviors, and identify new revenue opportunities. Leverage advanced analytics to refine customer lifetime value (CLV) scoring, optimize ticket pricing, and enhance marketing effectiveness. Collaborate with business leaders to ensure data science initiatives align with strategic priorities and deliver measurable impact. Leadership & Capability Building Establish and lead a high-performing Data Science team, fostering a culture of innovation, collaboration, and continuous learning. Define the roadmap for data science within Hawks iQ, prioritizing projects based on organizational needs and impact potential. Mentor and develop talent, ensuring the team stays at the forefront of cutting-edge data science methodologies and technologies. Act as a thought leader within the organization, advocating for data-driven decision-making and best practices in predictive analytics. Cross-Functional Collaboration & Communication Partner with teams across pricing, marketing, sales, and fan experience to integrate predictive insights into business strategies. Translate complex data science concepts into clear, actionable insights that drive decision-making at all levels of the organization. Work closely with data engineering and analytics teams to ensure seamless data integration and model deployment. Champion a test-and-learn culture, helping teams experiment with data-driven approaches to optimize business performance. Qualifications & Experience 10+ years of experience in data science, predictive analytics, or machine learning, with at least 4 years in a leadership role. Proven track record of building and deploying predictive models that drive business impact. Deep expertise in statistical modeling, machine learning algorithms, and AI-driven insights. Strong technical proficiency in Python, R, SQL, and cloud-based machine learning frameworks (AWS, Azure, GCP). Experience in pricing optimization, demand forecasting, revenue management, or customer engagement analytics is highly preferred. Ability to communicate complex technical concepts to non-technical stakeholders in a compelling and actionable manner. Strong leadership skills, with experience building and scaling data science teams. A strategic thinker with a challenger mindset—willing to push boundaries, experiment, and drive innovation. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class. If this opportunity looks exciting to you, please complete the application process. Go Hawks!

At PrizePicks, we are the fastest-growing sports company in North America, as recognized by Inc. 5000. As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues, including the NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 450 employees thrives in an inclusive culture that values individuals from diverse backgrounds, regardless of their level of sports fandom. Ready to reimagine the DFS industry together? The Analytics Team is responsible for building and maintaining analytics tools and workflows to support the PrizePicks business across all departments — at the core of these operations is data. As a Senior Data Science Engineer, you will be developing, maintaining, testing, and leading projects regarding streaming data and MLOps infrastructures to enable PrizePicks to offer real-time simulation based market pricing within the product. What you’ll do: Create and maintain optimal sport data stream architecture, ensuring data reliability in both speed and quality for both raw and transformed data pipelines. Partner with Data Science to determine best paths for operationalization of DS/ML assets, ensuring model output quality, stability, and scalability. Steer the design, implementation, and deployment of the data, MLOps, and API stack required for real-time pricing models, personalization/recommendations, risk management tooling, and other critical functions by contributing to architecture evaluations and decisions for the evolving data product roadmap. Partner cross-functionally with Engineering, QA, and Product teams to enable the creation and distribution of highly-visible and real-time data products to the PrizePicks platform. Build and own rigorous monitoring, alerting, and documentation processes, and work with Engineering teams to ensure complete feature uptime. Grow as a thought leader in the broader PrizePicks technology org, staying abreast of and implementing novel technologies, and disseminating knowledge and best practices to junior members of the team and collaborators alike. What you have: 5+ years of experience in Backend Engineering/Machine Learning Engineering, shipping and maintaining production-grade systems for internal tools and product users. 2+ years of experience acting as technical lead and providing mentorship and feedback to junior engineers and scientists. Extensive experience exposing real-time predictive model outputs to production-grade systems, leveraging large-scale cloud-based data streaming pipelines and infrastructure. Extensive experience working cross-functionally with data engineering, data science, product, and engineering teams, as well as external data providers and 3rd party services. Experience in most of the following: SQL/NoSQL databases/warehouses: Postgres, BigQuery, BigTable, Scripting languages: SQL, Python, Go, Rust. Cloud platform services in GCP and analogous systems: Cloud Storage, Cloud Compute Engine, Cloud Functions, Kubernetes Engine. Code version control: Git Code testing libraries: PyTest, PyUnit, etc Common ML and DL frameworks: scikit-learn, PyTorch, Tensorflow Modeling methods: classical ML techniques, deep learning, gradient boosting, bayesian methods, generative models. MLOps tools: DataBricks, MLFlow, Kubeflow, DVC. Data pipeline and workflow tools: Airflow, Argo Workflows, Cloud Workflows, Cloud Composer, Serverless Framework. Monitoring and Observability platforms: Prometheus, Grafana, Datadog, ELK stack. Infrastructure as Code platforms: Terraform, Google Cloud Deployment Manager. Other platform tools such as Redis, FastAPI, Docker and data visualization tools such as Streamlit or Dash. Excellent organizational, communication, presentation, and collaboration experience with organizational technical and non-technical teams Graduate degree in Computer Science, Statistics, Mathematics, Informatics, Information Systems or other quantitative field What makes you stand out: Experience building real-time production data science pipelines in a daily fantasy sports or oddsmaking business Where you’ll live: While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates. #LI-Remote Working at PrizePicks: The typical salary range for this position is $160,000 to $220,000. 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: 5/6/2025 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.

At Caris, we understand that cancer is an ugly word—a word no one wants to hear, but one that connects us all. That’s why we’re not just transforming cancer care—we’re changing lives. We introduced precision medicine to the world and built an industry around the idea that every patient deserves answers as unique as their DNA. Backed by cutting-edge molecular science and AI, we ask ourselves every day: “What would I do if this patient were my mom?” That question drives everything we do. But our mission doesn’t stop with cancer. We're pushing the frontiers of medicine and leading a revolution in healthcare—driven by innovation, compassion, and purpose. Join us in our mission to improve the human condition across multiple diseases. If you're passionate about meaningful work and want to be part of something bigger than yourself, Caris is where your impact begins. Position Summary We are seeking a Staff Scientist to join the Data Science unit at our Cambridge, MA office to develop our core Caris data products. This role calls for a technical expert excelling at both (i) hands-on work with real-world clinico-molecular data and (ii) communicating and educating internal and external partners. Caris has collected an extensive multimodal clinico-molecular dataset with immense potential to impact cancer precision medicine – ranging from early target discovery efforts, through clinical trial design, as well as impacting patient care today. The scientist will work on a team with deep expertise in computational biology, data science, genomics, and pharma/biotech partnerships – with the unified goal of deriving maximal value from Caris’ data for external and internal research efforts to advance cancer care. Job Responsibilities Apply bioinformatics, data science, molecular biology, and computer science expertise to drive projects developing and refining Caris’ clinico-molecular data products for use by both external partners and internal Caris R&D. Communicate with external and internal partners on strategy as well as technical details of Caris data products. Educate partners on the use of Caris data products. Drive innovation by staying abreast of emerging data science tools, techniques, and best practices, and strategically incorporating them into our data products and workflows. Collaborate with research, clinical, and bioinformatics scientists to execute projects that translate scientific and clinical questions into analytical workflows, and exercise skill in delivering accurate data processing, quality control, and statistical analysis. Act as a subject matter expert on data science, collaborating with internal stakeholders, external partners, and customers to provide technical expertise, foster collaborations, and contribute to the development of joint research projects. Required Qualifications Education: PhD in computational biology, bioinformatics, genomics, or related quantitative fields. Experience: At least five years post-PhD work experience Strong technical competency: Deep experience analyzing and deriving insight from standard genomic data types (e.g., gene expression, whole exomes). Strong programming skills (python required) and experience working collaboratively on software development. Strong attention to detail and drive for scientific and technical rigor. Strong communication skills: A primary responsibility of this role is external communication at both general and specialist levels. The ability to clearly present nuanced technical material to a variety of stakeholders is critical. Experience working with large datasets (e.g., hundreds, or thousands of bams). Enthusiasm for working in a highly collaborative environment. Strong problem-solving and analytical skills. Proven ability to manage time effectively, respond quickly to changing priorities, and adapt within a fast-paced environment. Proficient in Microsoft Office Suite, specifically Word, Excel, Outlook, and general working knowledge of Internet for business use. Preferred Qualifications Experience working in an industry setting. Experience working with real-world datasets. Domain experience in oncology or immunology. Experience working in cloud (preferred) or high-performance compute (HPC) clusters. Physical Demands Will work at computer most of the time Training All job specific, safety, and compliance training are assigned based on the job functions associated with this employee. Other This position requires only rare travel and some evenings, weekends and/or holidays. Conditions of Employment: Individual must successfully complete pre-employment process, which includes criminal background check, drug screening, credit check ( applicable for certain positions ) and reference verification. This job description reflects management’s assignment of essential functions. Nothing in this job description restricts management’s right to assign or reassign duties and responsibilities to this job at any time. Caris Life Sciences is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with disability.

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

Sony Pictures Entertainment (SPE) is a subsidiary of Tokyo-based Sony Corporation. SPE's global operations encompass motion picture production, acquisition, and distribution; television production, acquisition, and distribution; television networks; digital content creation and distribution; operation of studio facilities; and development of new entertainment products, services and technologies. SPE’s Motion Picture Group production organizations include Columbia Pictures, Sony Pictures Animation, Screen Gems, TriStar Pictures, 3000 Pictures, Stage 6 Films, AFFIRM Films, and Sony Pictures Classics. Sony Pictures Television (SPT) operates three complementary lines of business: 1) Distribution of SPE's feature films and television programming to television outlets around the world, 2) Local television production in key international markets, 3) International television networks and digital networks. For additional information, visit http://www.sonypictures.com/corp/divisions.html . GENERAL SUMMARY The Financial Analyst plays a critical role in supporting financial reporting, analysis, and strategic decision-making. This includes, but is not limited to, planning and preparing budgets, forecasts, and long-term financial plans, conducting ad-hoc financial analyses, and providing accurate and data-driven insights to support the management team. We are seeking a highly analytical FP&A professional with a strong background in data science, adept at leveraging advanced analytical tools such as Power BI, and Excel to enhance financial modeling, reporting, and business intelligence. The ideal candidate possesses problem-solving skills, a keen attention to detail, and the ability to translate complex data into actionable insights that drive business performance. The Financial Analyst reports to the Director and collaborates with all levels of the SPT management team, both at the home office and across territories, as well as with SPE Corporate Finance. RESPONSIBILITIES Financial Reporting & Analysis (80%) Conduct financial analysis for the SPT group and various business initiatives Assist with special projects and ad hoc management reporting Analyze financial and operational data to identify trends, risks, and opportunities that drive business performance Design and implement interactive data dashboards using advanced visualization tools like Tableau, Power BI Collaborate with business units to assess the financial impact of strategic decisions and optimize resource allocation Automate data collection, transformation, and reporting processes to enhance efficiency and reduce manual effort Prepare monthly variance analysis comparing actuals to budget/forecast for key management reports Support the accounting department during the month-end close process by explaining variances Budget & Forecasting (20%) Prepare monthly flash forecasts, quarterly forecasts, annual budgets, and mid-range plans, ensuring all required corporate submissions are completed accurately and on time Leverage advanced data analytics and statistical modeling to enhance financial forecasting, scenario planning, and decision-making Coordinate with local offices to manage budget and forecast submissions and respond to requests Develop forecasts for monthly Home Office Flash reports Assist in preparing presentations for Budget and Mid-Range Plan (MRP) meetings KNOWLEDGE/SKILLS/ABILITIES Experience of 1+ years in Finance, Accounting, Economics or Data Science experience is required Industry experience in cable, network or digital platforms, advertising sales or television is preferred with international experience also is a plus Fluency in English (required); Fluency in Spanish (preferred) Proficiency in financial modeling and data analysis tools (Excel, PowerPoint, VBA, PowerBI, Tableau etc.) SAP financial system experience is preferred Strong analytical and problem-solving skills, with the ability to interpret complex financial data Excellent communication, presentation and strong leadership skills are essential to this individual’s success Effective prioritization skills and time management are essential, as well as the ability to multi-task Ability to make commitments and meet deadlines Proactive, self-starter and independent thinker Team player with strong interpersonal skills who can work well with all levels of employees and is comfortable/experienced working in a multicultural environment The ideal candidate will have a mix of financial and accounting experience, including financial reporting, budgeting, forecasting, and planning Knowledge of financial statement preparation and variance analysis, and experience in budget and forecast preparation EDUCATION Bachelor’s degree with a focus on Accounting, Finance, Economics, Engineering is required. #LI-DA1 Sony Pictures Entertainment is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, age, sexual orientation, gender identity, or other protected characteristics. SPE will consider qualified applicants with arrest or conviction records in accordance with applicable law. To request an accommodation for purposes of participating in the hiring process, you may contact us at SPE_Accommodation_Assistance@spe.sony.com.

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.

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

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

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. We are seeking a Senior Staff Data Scientist with profound expertise to drive the direction and vision of a major data science initiative. The ideal candidate will have a deep understanding of machine learning, AI, and data science, with a proven track record of designing and developing complex AI solutions that scale. This role requires exceptional leadership skills to mentor senior data scientists and work closely with executive leadership. You will lead innovation, set technical direction, and help establish high-impact AI solutions aligned with our business goals. Key Responsibilities: Drive the Direction and Vision of a Major DS Initiative: Lead and define the technical direction for a significant data science initiative, ensuring alignment with organizational goals and delivering transformative AI solutions at scale. Identify High-Impact Opportunities: Discover business opportunities through in-depth research, data exploration, and collaboration with executive leadership to align on strategic initiatives and high-value projects. Development & Productionization: Spearhead the development and productionization of machine learning models, from concept to deployment. Ensure that models are scalable, reliable, and optimized for performance in real-time and batch systems. Establish Robust ROI Measurement Mechanisms: Develop and implement mechanisms to measure ROI on AI/ML initiatives, including setting up experimentation frameworks to evaluate system capabilities and performance. Innovation & Research Intergration: Keep up with the cutting-edge research and industry development; Experiment and prototype research findings to enhance model performance and business impact Cross-functional Collaboration: Drive collaboration across AI, Engineering, Product, and Design teams to integrate data-driven decision-making and advanced AI capabilities into the organization's products and services. Mentorship and Guidance: Mentor senior data scientists, set technical standards, promote best practices, and ensure thorough documentation. Provide coaching to help the team grow both technically and professionally, fostering an environment of continuous learning and improvement. Presentations and Engagement: Regularly present to executive leadership and cross-functional teams, delivering impactful executive-level presentations to secure buy-in and alignment on AI/ML initiatives. Business Strategy Alignment & Resource Allocation: Align AI/ML efforts with business strategy and resource allocation. Provide guidance on the prioritization of AI/ML projects to maximize impact and drive business value. Technical Direction & Innovation: Lead and provide senior-level technical direction across teams. Promote innovative AI/ML solutions that push the boundaries of what's possible, generating excitement and buy-in from technical and non-technical stakeholders. Problem Identification & Solution Development: Identify complex company-wide challenges and opportunities for AI/ML solutions. Lead the development of prototypes or MVPs that can evolve into impactful, scalable solutions. Strategic and Cultural Leadership: Contribute to the overarching strategy, roadmap, and vision for the AI/ML organization. Foster a culture of craftsmanship, innovation, and excellence, promoting best practices across the team and ensuring high-quality solutions. Qualifications: B.Sc. in AI/ML, Computer Science, Statistics, Mathematics, or a related quantitative field Minimum of 10 years of experience in data science, machine learning, or AI, with a proven track record of leading end-to-end model development cycle and delivering impactful projects Profound experience and theoretical understanding of advanced quantitative methods in statistical, machine learning and deep learning. Demonstrated ability to lead and mentor senior data scientists, fostering a collaborative environment for technical growth Exceptional communication skills, with the ability to influence stakeholders and deliver executive-level presentations and documentation Extensive experience with SQL, Python, and machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) Significant experience with cloud platforms (e.g., AWS, Microsoft Azure, Databricks, Kubernetes) Ability to solve complex technical challenges and create long-term strategic visions for AI/ML teams Preferred Skills: Strong background in experimentation, causal inference, and counter-factual modeling Experience in advanced modeling techniques, including numerical optimization algorithms, natural language processing (NLP), large language models (LLM) and reinforcement learning Research experience in computer science, statistics, machine learning and operational research, or a related field Strong leadership skills and the ability to manage cross-functional teams with a strategic mindset Advanced degree (M.Sc., Ph.D.) in a related field is a plus. This is a unique opportunity to shape the future of AI/ML initiatives within the organization, drive meaningful business outcomes, and help cultivate a culture of excellence and innovation in the data science field. If you're passionate about leading impactful AI/ML projects and mentoring the next generation of data scientists, we encourage you to apply. At this time, GEICO will not sponsor a new applicant for employment authorization for this position. The GEICO Pledge: Great Company: At GEICO, we help our customers through life's twists and turns. Our mission is to protect people when they need it most and we're constantly evolving to stay ahead of their needs. We're an iconic brand that thrives on innovation, exceeding our customers' expectations and enabling our collective success. From day one, you'll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people's lives. Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career - and your potential - in mind. You'll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels. Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose. As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers. Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future. Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being. Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance. Access to additional benefits like mental healthcare as well as fertility and adoption assistance. Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year. The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

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

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

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

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

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

Beauty Co-Lab (BCL) is a bespoke Omnicom Media Group unit for L'Oréal USA delivering an industry-leading agency solution that drives business growth and transformation. With deep expertise in data and technology, we deliver audience first, full-funnel and omni-channel strategies to deliver against L'Oréal's mission: Create the Beauty that moves the world. For over a century, L'Oréal has devoted its energy, innovation, and scientific excellence solely to one vocation: Creating Beauty with a main goal of offering each and every person around the world the best of beauty in terms of quality, efficacy, safety, sincerity and responsibility to satisfy all beauty needs and desires in their infinite diversity. At Beauty Co-Lab, our mission is to co-create what's next and our team of beauty champions and media challengers possess modern media, commerce, and analytics skillsets to keep pace with the rapidly changing ecosystem and reflect the wonderful diversity of the consumers and communities we serve. We are passionate about beauty, media, data, and technology. About BCL Data Science: We are a team of engaged, data-curious professionals who continuously seek new and improved ways to create value for our clients. We share ideas, code, outcomes, and credit for our collective efforts. We're looking for explorative, independent data scientists to grow with us as we tackle ever-changing challenges with our amazing partners. Responsibilities As a key, senior member of the Data Science team, the Senior Director will lead a team of data science leads and hands-on experts to deliver on client demands. This will include working with agency strategists and media buyers to create solutions that shape the strategic direction of your client's marketing plans through data-driven insights, audience solutions, and measurement techniques. They will provide subject matter expertise on all things data and analytics to internal as well as external stakeholders, by developing compelling actionable insights through quantitative analysis and innovative thinking. The ideal candidate for this role will have a passion for mentorship and be excited to participate in the professional development of our high performing junior team members. Leading and helping to build a team of on and offshore resources that interpret, ideate, and deliver client needs Interacting with client and programmatic teams (internal agency and external) to plan & execute data science projects and strategies related to media performance Working directly with tech and data partners regarding data, clean rooms, custom bidding platform functionality, and troubleshooting related issues Working with data from behavioral partners, ad servers, DSPs, measurement partners, and other online or offline datasets to develop client-specific solutions Collaboratively ideating and building tools that aid with analysis and ML transparency, visualization, and performance measurement Comfortable working in ambiguous situations Required Skills and Qualifications 8+ years of industry experience; knowledge of ad-tech ecosystem, programmatic advertising, and agency work experience a plus Bachelor's degree in statistics, mathematics, economics, engineering, information management, social sciences, or business/marketing related fields Advanced quantitative degree or intensive bootcamp experience is preferred Must have hands-on expertise in Python; SQL proficiency preferred Experience with cloud computing platforms such as AWS or GCP Demonstrated experience managing mid-sized or larger data teams and end-to-end analytics projects Must have demonstrated experience working with client teams as it relates to client media, marketing, planning and related data science projects #LI-CC2 This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). The Company reserves the right to modify this pay range at any time. For this role, benefits include: health insurance, vision insurance, dental insurance, 401(k), Healthcare Flexible Spending Account, Dependent Care Flexible Spending Account, vacation days, sick days, personal days, paid parental leave, paid medical leave, and STD/LTD insurance benefits. Compensation Range $180,000-$210,000 USD This role is hybrid, requiring three (3) days per week in the office. The remaining two (2) days may be worked remotely. Specific in-office days will be discussed during the interview process, with flexibility to align with team needs. Please note that the number or required in-office days may be adjusted over time, potentially increasing the number of required in-office days based on business needs. Review Our Recruitment Privacy Notice

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

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

The role: Join Curri to build and refine our data function with purpose and vision. As Director of Data Science and Engineering, you'll thoughtfully evolve our existing modern data infrastructure to drive strategic decision-making across the organization. This is an opportunity to make a significant impact at a growth-stage startup by translating complex data operations into actionable insights that directly influence our business trajectory. You'll lead a small, talented team (currently 3 members) while working closely with our executive leadership to shape how we leverage data. This role offers the autonomy to "make data your baby" while working within a collaborative environment that values both technical excellence and thoughtful implementation. What you will do: Lead and develop our existing data team to maximize their potential and impact Refine and optimize our Snowflake-based data infrastructure, building upon the foundation we've established with Snowflake, DBT, and Metabase Create platforms for operationalizing generative AI across the business, building on our successful implementations in support, driver optimization, and data summarization Partner with the executive team to translate data insights into strategic business decisions Collaborate closely with Engineering, Product, Finance, and other teams to ensure data solutions directly support company growth Identify and implement targeted infrastructure improvements that enhance system performance without unnecessary rebuilding Mentor team members to foster growth and continuity, resulting in strong retention and consistently high-quality work Share insights and perspectives at executive meetings and company All Hands, particularly around data strategy and AI initiatives What you need to have: 8+ years in data roles, including 3+ years in a leadership position, with a track record of impact in growth environments Deep expertise with Snowflake and modern data stack technologies (DBT, etc.) Strong understanding of AI/ML implementation and operationalization in business contexts Proven ability to build and mentor technical teams with limited resources Strategic mindset that balances long-term vision with practical, iterative execution Excellent communication skills to share complex concepts across all levels of the organization Experience working effectively across departments to deliver cohesive solutions Self-directed work style with a bias toward ownership and accountability What will make you stand out: Thoughtful Innovation: You identify which emerging tools and methods create genuine business value versus following trends Team Development: You create multiplier effects by combining technical excellence with people development Business Impact: You connect data initiatives to concrete business outcomes rather than pursuing technical initiatives in isolation Strategic Communication: You confidently share insights that shape company-wide decisions while maintaining independent perspective Cross-functional Influence: You maintain strong relationships across the organization while delivering high impact Iterative Approach: You value thoughtful evolution over disruptive change, building upon what works while strategically addressing gaps What is in it for you? A chance to make an immediate, meaningful impact at a fast-growing start-up. Significant responsibility from Day 1, with opportunities to shape our go-to-market strategy and directly contribute to company success. Work in a remote environment with a flexible schedule. We don't micromanage and want to help you do great work. There is no work/life-there is only life, and we want your time at Curri to be life-giving and foster the best version of you. We care about family and your personal development and don't expect you to always be engaged with work. Competitive salary, along with health, dental, vision, 401K, and equity compensation. Who are we? We are Curri and our mission is to be the way the world delivers construction and industrial supplies. Curri provides on-demand, last-mile logistics for construction and adjacent industries with our nationwide fleet of cars, trucks, and flatbeds. Curri was founded in 2019 and was a part of the YC S19 Batch. Employees work out of our office in Ventura, CA, but the majority of our fast-growing start-up operates remotely, with over 100 employees spread across the United States. We're solving a massive, global problem of inefficiency in the construction industry. We imagine a world of efficient construction sites resulting in a net win for the entire world. Find out more at curri.com.

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.