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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position using the Career worklet, please review this tip sheet . Job Profile Name: Res. Assistant Professor Job Code: JP3_24102 Job Family Group: Research FLSA Status: Exempt Job Family: Researchers Career Level: P4 Created/Revision Date: 8/1/2017, 1/1/2024 Grade: CORE JOB SUMMARY The Research Assistant Professor, SOM (A) carries out a particular research agenda in support of the University’s research goals and objectives. Moreover, the Research Assistant professor, SOM (A) contributes to the scientific community by publishing research findings and promotes the University’s reputation as a leader in the field. CORE JOB FUNCTIONS Contributes to basic and applied research activities and authors scientific publications, technical and agency reports, and patent preparations. Collaborates with senior staff to publish findings in refereed journals. Creates and conducts experiments and analyzes results. Works with other researchers to use and develop end products. Writes extramural proposals with approval from appropriate senior staff. Provides ready access to all experimental data for managing staff. Requests or acquires equipment and supplies for assigned project(s). Uses the internet, surveys, legal documents, and other available sources to collect information. Applies for grants to continue research and prepares materials for submission to granting agencies and foundations. Adheres to University and unit-level policies and procedures and safeguards University assets. This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary. CORE QUALIFICATIONS Education: Ph.D., M.D. or other doctoral level degree relevant field Certification and Licensing: Not Applicable Experience: Minimum 1 year of relevant experience Knowledge, Skills and Attitudes: Skill in collecting, organizing, and analyzing data. Ability to recognize, analyze, and solve a variety of problems. Ability to exercise sound judgment in making critical decisions. DEPARTMENT ADDENDUM Department Specific Functions The Department of Informatics and Health Data Science (DIHDS) , Media Innovation Lab (MIL) at the University of Miami is ushering in a new age of healthcare investigation, innovation, and improvement by breaking down the artificial barriers that separate discovery, development, and deployment of new solutions. Investigators at The MIL are reimagining and harnessing technologies available today, while inventing the solutions of tomorrow and are aspiring to create a legacy of insight and impact and to be a trusted voice in digital health, technology and transformation. The Research Assistant Professor will serve as the MIL site expert in bioinformatics setting the strategic vision for the group, leading the development of data analysis approaches, and implementing bioinformatics methodologies to support the needs of the DIHDS/MIL research team. Faculty members in the Department of Informatics and Health Data Science and The Media and Innovation Lab are required to actively support the department chair and lead research, educational/mentorship, and service outreach, policy and ethical initiatives related to informatics, digital technology, and health data science. Candidate must possess a strong computational and quantitative biology background that includes a broad understanding of key biological concepts and have significant experience in software and database engineering enabling an integrated understanding of biological data analysis as it relates to underlying biological processes. An extensive experience with the analysis of large data sets generated by next generation sequencing is encouraged. We prefer candidates with a strong record of accomplishments in bioinformatics, including but not limited to a proven track record of developing innovative tools and applications for computational biology, providing bioinformatics support for complex research projects involving multidisciplinary scientific teams, and a strong publication record in bioinformatics and computational biology. Qualification for this position requires demonstrated expertise in designing and developing software, databases, and interfaces for analyzing and manipulating research data applications including expertise with simple programming using Perl/Python or Java, statistical programming, web-development, and database query through SQL. This role collaborates with researchers to develop high throughput data processing and analysis capability. Directs and guides database searches and the computational analysis of resulting data. May assist in grant and other funding applications, as necessary and appropriate. Demonstrated ability to function as part of a team. Performs other responsibilities as required. This distribution of effort may change in future years based on your interests, department needs, and your success in obtaining extramural grant funding. Department Specific Qualifications Education: PhD in a mechanical engineering, quantitative/computational field including computer science, software engineering, bioinformatics, mathematics, human/statistical genetics, neuroimaging, or a related field (with an emphasis on data science or statistical analyses of human subjects’ datasets). Certification and Licensing: Type Here Experience: Type Here Knowledge, Skills and Attitudes: Type Here PHYSICAL REQUIREMENTS/ WORKING ENVIRONMENT The following sections capture the physical demands and working environment that are required for this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Working Conditions Environmental Dimension Never Occasionally Frequently Constantly Conditions of extreme heat or extreme cold x Wet/Humid conditions x Fumes/Dust/Dirt/Smoke x Confined areas x High places x Equipment in motion x High noise levels x Environmental hazards x Exposure to TB x Exposure to Blood-borne Pathogens x Exposure to Radiant Energy x Outdoor/Exposed areas x Equipment Used Equipment Used Never Occasionally Frequently Constantly Vehicle Type Operate vehicles (Select Vehicle) x Use hand tools x Use power tools x Physical Requirements Physical Dimension Never Occasionally Frequently Constantly Weight Sitting x Standing x Walking x Stooping/Climbing x Carrying x Kneeling x Crouching x Bending x Crawling x Reaching x Handling x Sensory Requirements Sensory Dimension Never Occasionally Frequently Constantly Vision Type Vision x Depth Perception x Color Vision x Peripheral x Concentration x Use of keyboard or touchscreen x Talking x Feeling x Smelling x The above statements are intended to describe the general nature and primary responsibilities of this job classification. Specific duties and tasks may vary based upon departmental needs. Other duties may be assigned to the above consistent with the knowledge, skills, and abilities required for the job. This is a job profile description and not all duties may be assigned to a specific position in each individual department. End of Job Description Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position using the Career worklet, please review this tip sheet . Job Status: Full time Employee Type: Faculty

Here at Scotts Miracle-Gro there is no such thing as a typical day. Our culture is constantly energized by new and exciting growth opportunities and at a rapid pace. Below are details on an open job. If the role interests you and you would like to be considered we encourage you to apply! Summary: The Data Scientist will support our research, product, sales, leadership and marketing teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Key Responsibilities: Select and employ advanced statistical learning models to obtain actionable insights. Cross-validate models to ensure their generalizability. Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. Suggest ways in which insights obtained might be used to inform business strategies. Actively engage with key internal and external technology partners Collate, clean, and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies. Visualize data and create reports. Align data projects with organizational goals. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes. Collaborate with data engineers to put machine learning models in production following best practices in machine learning operations (MLOps) Coordinate with different functional teams to implement models and monitor outcomes Technical Knowledge Requirements: 5+ years of experience manipulating data sets and building and operationalizing functional statistical models Proficiency in Python or R, where the former is preferred. Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc. In-depth knowledge of SQL. Experience using Apache Spark to process large data sets. Experience querying databases and using various languages: R, Python, SQL. Experience using Amazon Web Services: Athena, Glue, EMR, RDS, S3, SageMaker, etc. Experience creating and operationalizing advanced machine learning algorithms: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. Experience visualizing/presenting data for stakeholders using: Tableau, D3, ggplot, etc. Non-Technical Skills: Complex problem solving & analysis Excellent communication skills A business mindset Strong organization and leadership skills Ability to relay insights in layman’s terms, such that these can be used to inform business decisions. Ability to formulate an in depth technical strategy meeting the needs of supported business functions Ability to meet with the business and technical teams to provide understandable technical direction that demonstrates understanding of and alignment with business objectives. Relationship building with technical and non-technical personnel Research new tools on the market and evaluate their value within the company. Ability to develop strategic roadmap and serve as SME in related area Education/Training: MS degree in Statistics, Mathematics, Computer Science or another quantitative field 5+ years of data modeling experience 5+ years of Python, Java, R, SQL 4+ years of experience with algorithm development, tuning, and operalization 2+ years of experience with AWS cloud services: EMR, RDS, Glue, Athena, S3, SageMaker Experience with Neo4j Graph Database, Mulesoft, and Graphql a plus. The starting budgeted pay range for this role will generally fall between $111,500.00 - $131,200.00 per year. Scotts will consider various factors in determining the actual pay including your skills, qualifications, experience, and geographical location.In addition to the determined base salary, this role is also incentive eligible under our corporate bonus programs.For remote roles where the final candidate resides in Alaska, California, Colorado, Illinois, New York, Oregon or Washington, state required pay thresholds will be factored into base salary. Here at ScottsMiracle-Gro, we believe providing an enriching and engaging employee experience is what sets us apart from other organizations. We recognize our employees are so much more than just their job title so we offer programs and benefits that support them in all aspects of their lives. Wondering how we do it? Below is a glimpse of our highlight reel… Our Live Total Health program provides you with options to align to your personal needs . Selections range from medical, dental and vision coverage for you, your spouse/domestic partner and dependents to an outstanding wellness reimbursement program to an unbelievable 401K match (up to 7.5%) as well as a 15% discount on company stock and much more We know our talent is our most precious asset and your unique development contributes to our organization’s success now and in the future. Career growth at our company is not always a ladder. It’s much more like a rock climbing adventure. Grow through exploration and experiences rather than a predictable linear path. We value the importance of family . We provide access to Maven Family Planning and up to $30,000 to accommodate for adoption, fertility and surrogacy . Be part of something bigger by joining one of our Employee Resource Groups focusing on diversity and inclusion, family, education and sustainability : Scotts Women’s Network, Scotts Black Employees’ Network, Scotts Veterans Network, Scotts Young Professionals, Scotts Pride Network (GroPride), Scotts Associates for a Greener Earth (SAGE), Scotts Family TREE and our Associate Boards. Join a company with a strong belief in giving bac k to the communities where we live and work. We have a shared passion for service and volunteerism and believe participating in community service benefits our communities and strengthens our team. Not interested in this role? Stay up to date on future opportunities by joining our ScottsMiracle-Gro and Hawthorne Gardening talent communities. Scotts is an EEO Employer, dedicated to a culturally diverse, drug free workplace. EEO/AA Employer/Minority/Female/Disability/Veteran/Sexual Orientation/Gender Identity Notification to Agencies : Please note that the Scotts Miracle-Gro company does not accept unsolicited resumes from recruiters or employment agencies. In the absence of a signed Master Service Agreement, and specific approval to submit resumes to an approved requisition, the Scotts Miracle-Gro company will not consider or approve payment regarding recruiter fees or referral compensations.

Supporting X323 Tradecraft innovation team - Experience creating analytics leveraging Access Discovery and CNE experience is required. Will need to have familiarity with AMOD query tools.

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

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. At our core, we are dedicated to enriching lives by bridging the gap between individuals and premium wireless experiences that not only meet but exceed expectations in value and quality. We believe that everyone deserves access to seamless, reliable, and affordable wireless solutions that enhance their day-to-day lives, connecting them to what matters most. By joining our team, you'll play a pivotal role in this mission, working towards delivering innovative, customer-focused solutions that open up a world of possibilities. We're not just in the business of technology; we're in the business of connecting people, empowering them to explore, share, and engage with the world around them in ways they never thought possible. Building on our commitment to connect people with quality experiences that offer the best value in wireless, let's delve deeper into how we strategically position our diverse portfolio to cater to a broad spectrum of needs and preferences. Our portfolio, comprising 11 distinct brands, is meticulously organized into five families, each designed to address specific market segments and distribution channels to maximize reach and impact. Total by Verizon & Verizon Prepaid : At the forefront, we have Total by Verizon and Verizon Prepaid, our flagship brands available at Verizon exclusive and/or national/retail stores. Verizon Prepaid continues to maintain a robust and loyal consumer base, while Total by Verizon is on a rapid ascent, capturing the hearts of more customers with its compelling offerings. Straight Talk, TracFone, and Walmart Family Mobile : Straight Talk, Tracfone, and Walmart Family Mobile stand as giants in our brand portfolio, boasting significant presence in Walmart. Their extensive reach and solidified position in the market underscore our commitment to accessible, high-quality wireless solutions across diverse retail environments. Visible : Visible, as a standalone brand family, caters to the digitally-savvy, single-line customers who prefer streamlined, online-first interactions. This brand is a testament to our adaptability, embracing the digital evolution of customer engagement. Simple Mobile : Carving out a niche of its own, Simple Mobile shines as the premier choice among authorized resellers. Its consistent recognition as the most carried brand in Wave7 Research’s prepaid dealer survey for 36 consecutive quarters speaks volumes about its popularity and reliability. SafeLink : SafeLink remains dedicated to serving customers through government subsidies. With a strategic pivot towards Lifeline in the absence of ACP, SafeLink continues to fulfill its mission of providing essential communication services to those in need. Join the team that connects people with quality experiences that give them the best value in wireless. What You’ll Be Doing: We are seeking an Associate Director of Data Science to lead data-driven decision-making across our base management team. You will work at the intersection of performance marketing, customer insights, and advanced analytics, delivering strategic recommendations that fuel growth, optimize campaigns, and enhance customer engagement. Insight generation & optimization Develop and oversee end-to-end marketing analytics strategy, ensuring data-driven decision-making across all channels & campaigns Work cross-functionally with our marketers, product teams, finance, and technology teams to translate data into strategic recommendations Strong storytelling to drive recommendations based on the data analysis and articulate trade offs and communication plan to senior executives Measure and report on marketing ROI, Uplift, LTV, churn, and other conversion metrics to assess marketing campaign performance with precision and uncover high-impact opportunities to enhance campaign effectiveness, reach, and engagement Deliver actionable insights that refine targeting strategies, enhance messaging, and optimize channel execution, ensuring every campaign delivers maximum impact Own the analytics-to-execution pipeline—turning complex models into clear, strategic business recommendations Present insights and recommendations to senior executives, influencing major business decisions Build financial models and develop business cases to enable effective decisions across all base-management initiatives and campaigns Lead the development of dashboards and real-time reporting tools for executive and marketing teams Partner with our Data Science team to design, deploy, and scale personalization strategies using first-party data, predictive analytics, and model-based targeting Leadership: Be the go-to thought leader on data-driven marketing strategy, driving executive discussions and shaping how analytics fuel business outcomes Develop strong relationships with business partners across the Value organization to drive transformational change Supercharge collaboration with other analytics and off-shore teams to modernize reporting, enhance presentations, and scale automation—ensuring every insight drives immediate, tangible business value Partner with functional groups (Finance, Marketing, Operations, GTS, AI&D and others) to drive effective business decisions. Mentor and elevate analytics professionals, building a team that combines technical expertise with business acumen to drive sustained competitive advantage In this role, you'll have a defined work location that includes work from home and assigned office days (in-office days are Tuesday, Wednesday, and Thursday). What we're looking for… You’ll Need to Have: Bachelor's degree or four or more years of work experience. Eight or more years of relevant work experience required, demonstrated through one or a combination of work and/or military experience, or specialized training. Experience leading a team. High proficiency with Microsoft Excel and PowerPoint. Strong financial modelling experience. Proficiency in SQL and data visualization tools (Tableau, ThoughtSpot, Qlik or Looker). Advanced proficiency in SQL, Python (/R) and data visualization tools (Tableau, Qlik or native Python or other libraries like Plotly/Streamlit etc). Even Better If You Have One or More of the Following: Ability to translate complex ideas and express them in concise, simple to understand way to a variety of stakeholders at various levels. Strong Predictive / Prescriptive modeling experience. Experience managing large complex projects involving multiple work streams and stakeholders If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and a minimum eight assigned office days per month that will be set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status, disability or other legally protected characteristics. Our benefits are designed to help you move forward in your career, and in areas of your life outside of Verizon. From health and wellness benefits, short term incentives, 401(k) Savings Plan, stock incentive programs, paid time off, parental leave, adoption assistance and tuition assistance, plus other incentives, we’ve got you covered with our award-winning total rewards package. For part-timers, your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances. If you are hired into a California, Colorado, Connecticut, Hawaii, Illinois, Maryland, Minnesota, Nevada, New York, Rhode Island, Washington or Washington, D.C. work location, the compensation range for this position is between $138,500.00 and $242,000.00 annually based on a full-time schedule. The salary will vary depending on your location and confirmed job-related skills and experience. This is an incentive based position with the potential to earn more. For part time roles, your compensation will be adjusted to reflect your hours.

Graduate Management Admission Council (GMAC™) is a mission-driven organization, with a vision to be the global leader in ensuring every talented person can benefit from the best business education for them. The organization’s priority is to heighten its impact in promoting graduate management education and attracting a qualified and diverse candidate pool from around the world. The Director, Research and Data Science is responsible for overseeing the department and supporting the Council’s commitment to disseminating actionable and relevant information about the management education community. FLSA Status: Exempt Report to: Senior Vice President, School & Industry Engagement GMAC’s value proposition offers our talented employees the ideal climate for innovation, and colleagues who are motivated and proactive, with diverse backgrounds and approaches. As a global organization, we understand and appreciate the benefits of myriad cultural perspectives. GMAC is wholly committed to recruiting, developing, and retaining a diverse group of talented people, and providing equal employment opportunities to all employees and applicants without regard to the basis of actual or perceived race, creed, color, religion, national origin, ancestry, age, disability, sex (including pregnancy, childbirth, and related medical conditions), marital status, veteran status, sexual orientation, gender identity, genetic information, or any other characteristic protected by applicable federal, state or local laws.

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

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

Summary Data Science Senior Managers in GEICO's Pricing Department lead complex data analyses and development of pricing, econometric, statistical, and machine learning models to drive business decisions, identify actionable insights, and create specific business value through shared insights and analytic solutions. In this role, Senior Managers apply actuarial and analytics skills to forecast business results based on in-market and proposed rating plan changes and provide leaders with options for rating plan changes that are optimized based on changing business goals, regulations, and market conditions. Taken together, these functions provide leaders with information to improve business decision making and provide expectations that can be measured against when changes are made to GEICO's rating plans. Job Responsibilities Leads collaborations with State Management, Product Management, Finance, Technology, and Pricing to identify and define analytic initiatives, formulate strategies, design rating plan structural enhancements, and develop solutions to achieve business goals through effective use of data and pricing and machine learning models. Builds and manages a strong, agile team of technical analysts and data scientists and trains them in accessing and interpreting data, analytical methods, and business relevance. Develops strategic and tactical plans. Regularly reviews progress to plans and escalates issues and blockers. Monitors results against specific goals to ensure completion and business impacts are achieved. Interprets and communicates data findings and insights using visualization, formal presentations, written memos, and other appropriate formats. Develops and implements documentation, project management, coding, and development best practices within a team. Identifies appropriate actuarial, statistical, and machine learning methods for a collection of projects. Manages the identification, extraction, aggregation, and synthesizes of data using SQL, R, SAS, Python or other appropriate languages to enable analysis, model development, and solution deployment. Manages the application of actuarial and data science skills to analyze large, complex datasets and identify meaningful patterns that lead to actionable insights and data-driven solutions to business problems. Manages the discovery, analysis, evaluation, and adoption of new data, new uses for existing data, or new pricing and data science methods to improve the quality, efficiency, and business value of data and analytic solutions. Manages the building, testing, and validation of pricing, econometric, statistical, and machine learning models and analyses as part of overall solution development. Manages implementation of analytic solutions into reporting platforms or production systems by leading the solution design, development, testing, and monitoring. Candidate qualifications and skills 6+ years' industry experience in data science and insurance pricing/ratemaking roles, with a deep understanding of both. 3+ years leading a team of quantitative analysts or data scientists. Actuarial ACAS/FCAS, advanced degree in a quantitative discipline, or 4+ years' insurance industry experience in a leadership position. Excellent communication, facilitation, and coaching skills in a business context and as it applies to team and project management and communication to management and stakeholders Demonstrated experience in developing & executing a team development roadmap, influencing business decisions, and driving business value Working experience with predictive modeling, machine learning, experimental design, AB testing, and analytical modeling and data engineering tools such as R, Python, SQL, and Spark. Annual Salary $120,000-$240,000 Location This is a hybrid role, on-site 3 days per week from Chicago, IL, Chevy Chase, MD, or New York, NY. Annual Salary $130,000.00 - $260,000.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations. 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.

Avant is adding to our Data Science team! We are looking for a self-driven candidate who is passionate about problem solving and interested in making a difference. This person will be a key member of our Data Science team and responsible for the development of numerous kinds of customer lifecycle models. If you are looking for an opportunity to join a great team where you can be yourself, deepen your skills and experiences, and find new areas of inspiration then consider a career at Avant! What you'll do at Avant: Work with stakeholders throughout the company to identify opportunities for leveraging company data and third-party vendor data to drive business solutions using different modeling techniques Design and build predictive models to enhance customer experience, reduce risk, improve revenue generation, optimize direct mail targeting, and drive key outcomes throughout the customer lifecycle Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies Clean, process and validate data to ensure its quality and integrity for modeling and analysis Conduct feature engineering, select appropriate features and develop robust models using various machine learning techniques Perform ad-hoc analysis and present results in a clear manner to senior management. Provide timely and justified recommendations in response to ad-hoc analysis requested by internal groups Proactively collaborate with Data Engineering, ML Operations, Software Development, Credit Risk, Marketing, Legal & Compliance, and other internal groups to implement and monitor models across the customer lifecycle Develop and enhance processes and tools to monitor model performance and input and output data accuracy Why you're a fit for Avant: 2-3 years of the job experience as a data scientist or an advanced degree (Master's or PhD in Machine Learning, Computer Science, Statistics, Operations Research or a related STEM fields) 2+ years expertise in machine learning theories and practices (Generalized Linear Model, Support Vector Machine, Random Forest, Gradient Boosting, etc.) Familiarity with Object-Oriented Design (OOD) concept and functional programming with 2+ years experience writing production-level code Strong proficiency in Python with experience in the end-to-end development of machine learning models. Domain knowledge in credit risk is a plus Advanced in SQL for querying and analyzing large datasets Excellent communication skills, with the ability to present complex concepts and findings clearly to both technical and non-technical audiences, and effectively collaborate with cross-functional teams Strong problem-solving and critical-thinking skills, with a keen attention to detail and data integrity Experience with ML and data analytics platforms/technologies such as Databricks, AWS (including AI/ML tools) and Looker is a plus Experience in deep learning is preferred Experience in a data science or ML Ops role at a banking/financial institution or fin-tech is a plus This role is based on our downtown Chicago Office, located in the Merchandise Mart. We highly value collaboration and our hybrid schedule (M, T, Th in-office) enables flexibility to balance work and individual priorities. Compensation Range: The base salary range for this job is USD $80,000 - USD $100,000 / Year Employees new to Avant typically come in below the midpoint of the pay range. The compensation range is based on the level outlined in the job posting, and compensation decisions are dependent on each applicant's experience, skills and abilities. [If an outstanding applicant's experience and skill level is above or below the qualifications outlined in the job posting, we reserve the right to make an offer at a different level than the one listed in this job posting, which may have a different compensation range.] This role is eligible for additional incentives, including an annual bonus. These rewards are allocated based on level, impact and performance in the role. Our benefits include: Choice of great Medical, Dental, and Vision Insurance Plan options 401(k) match Flexible Time Off Flexible Work Environment - (i.e. Mon/Tues/Thurs in-person) Generous Paid Parental Leave, Adoption Assistance and Post-parental leave ramp-up program Lunch Allowance (Fooda) and In-office Snacks Summer Fridays Fun In-Office and Virtual Social Events And who doesn't love the swag Check out our Avant Blog! We believe that a diverse set of backgrounds and experiences helps us create the most innovative solutions for our customers. We invite you to apply to our positions even if you do not meet 100% of the qualifications listed in the description. If you're passionate about our mission and aligned to our values, we hope you'll come contribute to our awesome culture. Why Avant is the place for you: At Avant, we believe our values make a difference: Authenticity. We show up to work as our whole selves and make sure others can too. Collaboration. We can only succeed when we do so as a team. Problem-Solving. The harder the problem, the more satisfying the solution. Customer. We are all owners of the customer experience. Initiative. Plan. Adapt. Get Sh!t Done. We believe that great ideas come from anyone and anywhere, that everyone is an owner who drives change, and that we have more fun when we work together. We're problem solvers who love collaborating with intelligent and highly-motivated people to reshape the face of digital banking. Avant offers terrific perks and benefits, fun social events with employees who actually like hanging out together, and a flexible growth environment where trying your hand at new projects and being the active owner of your career path is encouraged and supported.

About Northern Trust: Northern Trust, a Fortune 500 company, is a globally recognized, award-winning financial institution that has been in continuous operation since 1889. Northern Trust is proud to provide innovative financial services and guidance to the world's most successful individuals, families, and institutions by remaining true to our enduring principles of service, expertise, and integrity. With more than 130 years of financial experience and over 22,000 partners, we serve the world's most sophisticated clients using leading technology and exceptional service. Northern Trust is looking for experienced modelers/data scientists to join the Risk Advanced Analytics team. Responsibilities include working with large and complex data sets (both internal and external data) to develop, monitor and support the implementation of advanced analytics solutions and regulatory models The key responsibilities of the role include: Perform data analysis and advanced modeling techniques to solve complex business problems, provide insights and create innovative solutions Develop econometric forecasting models for key balance sheet and income statement line items (e.g. deposit forecasting, revenue forecasting) under different macroeconomic scenarios as part of the annual stress testing exercise Create predictive models for estimating probability of default and losses as part of the Bank's capital adequacy process Exercise independent judgement in identifying and resolving problems within established guidelines and development framework Interact with the Data Analytics team to request and ensure high quality data are utilized in the model development process Communicate regularly with key business partners, management, oversight committees and regulators by acting as a subject matter expert. The successful candidate will benefit from having: Graduate degree in a related field (math, statistics, economics) is required 5+ years of experience in banking and/or data science /modeling is required Experience with developing CCAR and PPNR models is preferred Experience with Time Series modeling techniques is required Excellent analytical skills and high attention to detail Experience using statistical programming languages such as Python, SAS, SQL Excellent oral and written communication skills, including presentation and data visualization skills Ability to effectively communicate with peers, senior management and overseas partners Ability to work under pressure, manage and prioritize multiple deliverables. #LI-LK2, #LI-Hybrid Salary Range: $83,100 - 141,300 USD Salary range is a good faith estimate of base pay. Northern Trust provides a comprehensive benefits package including retirement benefits (401k and pension), health and welfare benefits (medical, dental, vision, spending accounts and disability), paid time off, parental and caregiver leave, life & accident insurance, and other voluntary and well-being benefits. Northern Trust also provides a discretionary bonus program that may include an equity component. Working with Us: As a Northern Trust partner, greater achievements await. You will be part of a flexible and collaborative work culture in an organization where financial strength and stability is an asset that emboldens us to explore new ideas. Movement within the organization is encouraged, senior leaders are accessible, and you can take pride in working for a company committed to assisting the communities we serve! Join a workplace with a greater purpose. We'd love to learn more about how your interests and experience could be a fit with one of the world's most admired and sustainable companies! Build your career with us and apply today. #MadeForGreater Reasonable accommodation Northern Trust is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please email our HR Service Center at MyHRHelp@ntrs.com. We hope you're excited about the role and the opportunity to work with us. We value an inclusive workplace and understand flexibility means different things to different people. Apply today and talk to us about your flexible working requirements and together we can achieve greater.

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

We have many opportunities available on our other career site pages. Click here to link to our careers page! Signet Jewelers is the world's largest retailer of diamond jewelry, operating more than 2,800 stores worldwide under the iconic brands: Kay Jewelers, Zales, Jared, H.Samuel, Ernest Jones, Peoples, Banter by Piercing Pagoda, Rocksbox, JamesAllen.com and Diamonds Direct. We are a people-first company and this core value is at the heart of everything we do, from empowering our valued team members, to collaborating with our customers, to fostering the communities in which we live and serve. People - and the love their actions inspire - are what drive us. We're not only proud of the love we inspire outside our walls, we're especially proud of the diversity, inclusion and equity we're inspiring inside. There are dynamic career paths awaiting you - rewarding opportunities to impact the lives of others and inspire love. Join us! We are seeking a forward-thinking leader to drive innovation in AI/ML product development and machine learning operations (ML Ops). This role will lead the design and deployment of advanced data science and machine learning solutions that enhance decision-making and deliver measurable business value. You will play a key role in shaping the strategic use of data across the organization, leveraging emerging technologies and best practices to build scalable, impactful models. In addition to technical leadership, this position is responsible for building and developing a high-performing, diverse team of data science professionals. You will provide hands-on mentorship, foster a culture of innovation, and lead by example in applying analytical solutions that support business growth. The ideal candidate will also serve as a key advocate for data science across the organization-partnering with stakeholders, advising leadership, and championing the adoption of AI/ML tools and practices to create a more data-driven culture. KEY RESPONSIBILITIES: Lead and inspire the development of advanced data science, statistical models, AI, and ML capabilities. Revolutionize insight driven decision-making across retail functions and brand teams. Stay updated on industry trends and emerging data science techniques. Implement ML Ops practices for scalable and efficient machine learning model deployment. Guide Enterprise Analytics teams in using AWS services to build accurate, insightful models while minimizing technical debt. Recruit, inspire, and lead a diverse team of data science professionals. Provide coaching, mentorship, and hands on support to foster innovation and personal growth. Lead by example in applying analytical solutions that drive growth. Partner with data and analytics leaders to create an insights driven culture. Consult and advise executives as well as collogues on AI/ML solutions for better decision-making. Encourage the adoption of data science tools to enhance performance and inspire business leaders. POSITION QUALIFICATIONS: Bachelor's degree required; advanced degree (MA/MS/PhD in Statistics, Mathematics, Data Science, or MBA) strongly preferred 10+ years of experience leveraging data science to uncover business insights, improve customer experiences, and drive strategic value Proven track record developing analytics strategies, tools, and automated reporting systems to enable data-driven decision-making Deep expertise in data management, data analysis, and working with diverse datasets and tools across large-scale environments 5+ years leading and mentoring data science teams, including experience managing offshore and cross-functional teams Strong foundation in statistical methods and techniques such as regression, clustering, forecasting, decision trees, ANOVA, and experimental design Hands-on experience deploying AI/ML models to enhance performance and decision-making, ideally within a retail or consumer-focused environment Proficiency in analytics tools and technologies including SQL, Python, R, SAS, Tableau, Power BI, Alteryx, and cloud platforms (preferably AWS) Exceptional communication, project management, and executive presentation skills, with experience managing budgets and vendor relationships PERKS AND BENEFITS: Comprehensive healthcare, dental, and vision insurance to keep you and your family covered Fertility Benefits, with a max of $15,000, for participants in the U.S. medical plans/prescription plans Generous 401(k) matching after just one year to help secure your financial future Ample paid time off, plus seven holidays to recharge and unwind Exclusive discounts on premium merchandise just for you Dynamic Learning & Development programs to support your growth And more! The salary range for this opportunity is $185,000 - $210,000. Base pay offered may vary depending on geographic region, internal equity, job related knowledge, skills and experience, among other factors.

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

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

Tiger Analytics is seeking a Data Science Analyst to join our team in Evansville, Indiana. The ideal candidate will have over 5 years of experience in the data and analytics space, with a strong grasp of data analysis, business analysis, and requirement gathering. Experience in the Consumer Packaged Goods (CPG) industry is highly preferred. Key Responsibilities Analyze large datasets to identify trends, patterns, and insights that drive business decisions. Work closely with business stakeholders to understand requirements and translate them into data-driven solutions. Collaborate with cross-functional teams to define business problems and develop actionable analytical models. Design and execute quantitative analysis, including statistical modeling and forecasting. Prepare clear visualizations and reports to communicate findings to non-technical audiences. Support the development of dashboards and KPIs to monitor business performance. Contribute to a culture of data-driven decision making across the organization. Requirements Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field. 5+ years of hands-on experience in data analytics and business analysis. Proficient in tools such as SQL, Python, and data visualization platforms (e.g., Power BI, Tableau). Strong analytical thinking and problem-solving skills. Experience with requirement gathering and stakeholder engagement. Excellent communication and presentation skills. Prior experience in the CPG industry is a strong plus. Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.

Hi, Title – Sr. Software Engineer – Data Science Position – Fulltime Location – Boston, MA Salary - $Open (Best Possible) Minimum Qualifications: Bachelor’s degree in Computer Science, Engineering, Math, or related technical/science field 5+ years of software engineering experience 2 years data science / machine learning experience Requirements Preferred Qualifications: Significant experience with Python and Python data stack Professional experience with the “PyData” stack – e.g. NumPy, pandas, matplotlib, Jupyter Notebook Experience with Java and Apache Spark Nice to have: experience in healthcare analytics; experience in Apache Spark Note: If interested please send your updated resume and include your rate requirement along with your contact details with a suitable time when we can reach you. If you know of anyone in your sphere of contacts, who would be a perfect match for this job then, we would appreciate if you can forward this posting to them with a copy to us. We look forward to hearing from you at the earliest!.

WE HAVE CREATED A WORLD WHERE ART AND SCIENCE ARE BEST FRIENDS Known is a modern marketing company engineered for the unprecedented opportunities and challenges facing marketers today. We are about 200+ people strong, pairing PhD data scientists with award-winning creatives, strategists, engineers and expert research teams to produce some of the most innovative and cutting-edge creative work in culture. We believe that when creative truly collaborates with science, strategy, and technology, amazing things can happen.  Ad Age touted that “Known may be the ultimate example of a full-service agency,” and honored us with two prestigious recognitions this year: #3 on The A-List as one of the top agencies in the world, and Ad Age’s Data & Insights Agency of the year for the second year in a row . Without our incredible partnerships with our clients, spanning across the leading brands in finance, technology, entertainment, media, CPG, real estate, and many other categories, honors like this could not be possible, and also have helped us earn additional awards and recognitions over the years like: Emmys, Clios Entertainment and Sports Awards, Effies, Cannes Lions Awards, ProMax Agency of the Year, and Digiday’s Most Innovative Media Agency to name a few. We couldn’t create this award-winning work without seeking out and hiring the best talent. What does it mean to be a Knowner? We are curious innovators, knowledge-hunters who are constantly challenging ourselves to do better and be better for our clients, for our team and for our world at large. Our offices around the U.S. are open and while most of our people work in a hybrid setting, we are a distributed workforce with a number of Knowners working remotely. BUT ENOUGH ABOUT US, LET'S TALK ABOUT YOU About the role: Known’s Skeptic team builds the tools that power Known’s media buying practice and elevate the media campaigns of our clients. Our work ranges from predictive modeling / optimization to infrastructure development, and Skeptic’s data scientists and engineers are challenged every day to push the limits of advanced advertising.  We are seeking a Director of Data Science who can understand the core business objectives of our internal teams and our clients, and develop tools tailored to their use cases. Experience in media, including but not limited to Media Mix Modeling, TV viewership predictions, and reach / frequency optimization, is a plus, but not required for the role. In this role you will work with, and guide, other data scientists on a variety of projects and interface directly with our engineering, media strategy, and channel data science teams. As a Director of Data Science, you will drive forward some of our most difficult data science projects and be expected to be a true technical leader, able to build production level products from start to finish. This role will not have direct management responsibilities but you will serve as a mentor for data scientists across the organization. WHAT YOU’LL DO Developing new techniques (e.g., ML models, optimization algorithms, and automation) to improve Known IP and create tools for Known’s clients  Working with other data scientists and engineers to productionalize new tools  Managing the ingestion and cleaning of new datasets relevant to your work / projects Mentoring other data scientists on our team Speaking to clients to understand business needs and communicate back results / solutions WHO YOU ARE AND WHAT YOU HAVE A Masters or PhD from a well-regarded college or university.  STEM degrees are preferred.   7+ years of hands-on experience doing quantitative analysis, modeling, optimization and/or statistics. Experience utilizing Python and SQL. 5+ years of experience building data science software Experience in advertising or advertising technology is a plus Skills, abilities, and knowledge Superb communication and presentation skills An ability to translate abstract business challenges into quantitative problems, and solve them by whatever means necessary, which may not always be strict machine learning A commitment to managing the quality & accuracy of analytics, ensuring high standards with your and others’ work Experience working on a tech team, with experience in cloud technologies, version control, etc. Competencies Ability to prioritize time, work and effort while multitasking on multiple projects Desire to mentor and teach others Collaborative attitude Self motivated and exhibits initiative Willing & able to learn quickly Abundant intellectual curiosity and integrity SOME OF OUR PERKS Unlimited paid time off 401k with company matching and no vesting period Annual bonuses Generous medical plan Paid parental leave ONE LAST THING TO ASK YOURSELF All this might sound great, but you’re probably still wondering, “Would I be a good fit for Known?” or “Would Known be a good fit for me?” Our culture is propped up by four values that we aspire to every day: We are one team. We see the good. We never stop learning. There’s always a better way. At Known we are setting out to build something more than just a company. We are building a legacy filled with exceptionally talented people with a kaleidoscope of backgrounds, experiences, and origin stories who feel encouraged and empowered to bring their whole selves to work, and to partner with us in molding and shaping our culture through our values. Known is an equal opportunity employer and does not discriminate against employees or qualified job applicants on the basis of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or locally protected class. The base salary for this position is $180K-$200K.             This range is posted in compliance with state and municipal Pay Transparency laws. In addition to base compensation, this role is eligible to receive additional Known benefits. #LI-RR1

At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to patients, their families, and caregivers is Eisai's human health care (hhc) mission. We're a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. Our history includes the development of many innovative medicines, notably the discovery of the world's most widely-used treatment for Alzheimer's disease. As we continue to expand, we are seeking highly-motivated individuals who want to work in a fast-paced environment and make a difference. If this is your profile, we want to hear from you. Summary: The MSL (Senior Medical Science Liaison or Principal Medical Science Liaison) is a field-facing representative of US Medical Affairs with a primary responsibility of engaging in the exchange of scientific data and other medical and/or scientific information with external customers (Health Care Providers, researchers, professional organization leadership, and population-based decision makers), including top echelon healthcare leadership, in the areas of Eisai's interest. The person in this position will demonstrate a thorough understanding of the customer's needs, issues and priorities as they relate to Eisai's strategic business plan and is able to 'connect the dots' and see the 'big picture' as it relates to the business. The Senior/Principal MSL brings relevant insights from the field on research developments, treatment landscape and new concepts in medical treatment. The incumbent will also identify patterns and trends in KOL mindset and practices across geographies based on insights. The Senior/Principal MSL will assume a leadership role by coaching and mentoring other MSLs and by assuming responsibility for special projects as they arise. The impact that a Sr MSL/Principal MSL will have on the organization includes the following: Communicating key information about Eisai, the company and it's hhc mission, and key scientific/clinical information about Eisai's products, demonstrating a pattern of good judgment, emotional intelligence, business acumen and therapeutic knowledge. Effectively communicating relevant and fair balanced scientific and clinical information on Eisai products, seeking feedback from decision makers and health care practitioners to ensure patients' needs are being met; leveraging a variety of communication channels to serve as a conduit between Eisai and the medical community in order to share ideas about future collaborative research with Eisai products. Bringing relevant insights from the field on research developments, treatment landscape and new concepts in medical treatment. Providing corporate value through demonstrated leadership and participation in strategic thinking Responsibilities: Senior Medical Science Liaison Responsibilities: Act as the primary clinical/scientific resource to HCPs in the territory for information on disease state and Eisai's product(s) to ensure awareness and understanding. Lead assigned professional congresses in accordance with MSL plan by leading congress coverage efforts, including coordination of all MSL activities, as required. Present clinical, scientific and economic data on Eisai's products and relevant therapeutic areas to population-based decision-makers. Lead projects as appropriate. Establish, foster, cultivate and maintain peer relationships with KOLs in the therapeutic areas in which Eisai has current and future interests. Serve as primary contact to external investigators who submit IISs to provide recommendations for site selection and scientific expertise to Investigators involved in company-sponsored post-marketing studies. Provide mentoring, guidance and training to new hires/ less experienced colleagues; assist with supervision/performance evaluation; assume responsibility for special projects. Provide inputs to strategic planning, work processes and escalate any deviations. Principal Medical Science Liaison Responsibilities: Build advocacy leading to a strong franchise and serve as a conduit for accurate and updated clinical, scientific and medical information between KOLs, other investigators and the company's Medical Affairs and R&D groups. Propose strategic solutions to competitive and clinical practice issues that may be uncovered as part of a field insights observation and analysis. Actively participate in executing Eisai's strategy at scientific meetings, coordinate MSL meeting/booth coverage, and proactively facilitate KOL interactions with Eisai stakeholders. Manage complex projects in parallel, often at a National scope by executing activities within a given area of expertise and providing lateral/indirect leadership and strategic direction to MSLs. Provide field perspective and insight into developing new resources and strategies through industry and scientific acumen. Provide inputs to overall development of strategy, budget and resources including talent pool and address deviations. Provide guidance and training to new hires/ less experienced colleagues. Qualifications: Requires an advanced, terminal Doctorate level (D-level) degree in medical or health sciences (e.g. MD, PhD, PharmD, DPH, EdD). For Sr. MSL,1.5-3+ years of experience in the pharma/biotech industry; previous experience as an MSL preferably in Oncology OR a combination of equivalent education and experience. For Principal MSL, 8+ years of overall experience in Oncology with relevant combination industry/ clinical/ research/ academia; at least 5 years as an MSL in Oncology OR a combination of equivalent education and experience. Experience teaching, coaching, and mentoring new hires and/or less experienced MSLs. Knowledge of disease state management in oncology therapeutic areas along with strong broad-based scientific and pharmaceutical knowledge. Presentation skills, teaching skills, and confidence in discussing drug information/ disease state management. Prior experience in clinical research, drug development and/or clinical pharmacy and a basic understanding of commercial operations, including marketing and sales strategies. Proven performance in earlier role. Established relationships with KOLs in Oncology/Hematology preferred. Possesses an understanding of the pharmaceutical corporate environment and appreciation for commercial operations, including marketing and sales strategies. For Principal MSL, must have prior experience designing strategic solutions to competitive and clinical practice issues. Capable of engaging in frequent business travel (approximately 60% of time), including air travel, ability to travel overnight and occasionally on weekends. Domestic and international travel may include spending time at cancer trial sites/institutions, conference center, offices and hotels. Possesses and maintains a valid driver's license. This is a field-based position. The employee is required to set up a home-based office. Salary range for Sr. MSL is $160,100.00 - $210,100 USD Annual Salary range for Principal MSL is $182,200.00 - $239,085 Annual #LI-MI1 As a condition of employment and an essential function of this field-based position, applicants must be able to engage in person with HCPs and other third parties at their offices, institutions and other appropriate locations on a regular basis. In order to gain in-person access, applicants selected for the position may be required to complete third parties' credentialing and/or entry requirements, which often include an attestation to and/or providing proof of having received certain vaccinations, including but not limited to the COVID-19 or flu vaccines. To the extent you are unable to meet certain requirements for qualifying medical (including pregnancy-related) or religious reasons, applicants must request a reasonable accommodation by contacting the Human Resources Department.Skills:Communication & Cross-functional Influence, Critical Thinking & Agility, Healthcare Environment Dynamics, KOL/ HCP Engagement, Medical Data and Insights, Mentoring, Resource Planning & Management, Territory Management (MSL) Eisai Salary Transparency Language: The base salary range for the Senior Medical Science Liaison (Sr. MSL) / Principal Medical Science Liaison (Principal MSL) Oncology - AZ, NM, UT (Open) is from :160,100-210,100 Under current guidelines, this position is eligible to participate in : Eisai Inc. Annual Incentive Plan & Eisai Inc. Long Term Incentive Plan. Final pay determinations will depend on various factors including but not limited to experience level, education, knowledge, and skills. Employees are eligible to participate in Company employee benefit programs. For additional information on Company employee benefits programs, visit https://us.eisai.com/careers-at-eisai/benefits . Certain other benefits may be available for this position, please discuss any questions with your recruiter. Eisai is an equal opportunity employer and as such, is committed in policy and in practice to recruit, hire, train, and promote in all job qualifications without regard to race, color, religion, gender, age, national origin, citizenship status, marital status, sexual orientation, gender identity, disability or veteran status. Similarly, considering the need for reasonable accommodations, Eisai prohibits discrimination against persons because of disability, including disabled veterans. Eisai Inc. participates in E-Verify. E-Verify is an Internet based system operated by the Department of Homeland Security in partnership with the Social Security Administration that allows participating employers to electronically verify the employment eligibility of all new hires in the United States. Please click on the following link for more information: Right To Work E-Verify Participation