Data Science Jobs 2026 (Now Hiring) – Smart Auto Apply

Please note that the selected individual for this role will be expected to work in our Raleigh, NC location from the time of joining. If you reside outside of the Raleigh region and you are unable or unwilling to relocate, then please consider other roles across our organization that might allow for remote locations. About our Team : LexisNexis Legal & Professional, serving customers in over 150 countries with 11,800 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. Our company is a leader in deploying AI and advanced technologies to improve productivity and transform the legal market. We prioritize using the best models from today's top creators for each legal use case. About the Role : The Senior Manager, Data Science is responsible for managing new product development by proposing data-driven solutions for complex customer challenges. They will manage and execute entire projects, collaborating with data scientists and engineers to design innovative AI solutions. This role involves leading AI and machine learning model development, analyzing extensive datasets, and guiding team members. Responsibilities : Manage a team of data scientists and engineers to design, develop, and deploy advanced AI solutions Lead the development of AI and machine learning models to solve business problems Research, build, and deploy models based on shallow and deep machine learning Train robust NLP-based models on large datasets Collaborate with cross-functional teams to align AI solutions with business goals and customer needs Design APIs for disseminating data science outputs Oversee the scaling of production systems to meet growing demands Work in a way that works for you : We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive Working for you : We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity Family Benefits, including bonding and family care leaves, adoption, and surrogacy benefits Health Savings, Health Care, Dependent Care and Commuter Spending Accounts Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice About the Business : LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services. We encourage candidates from all backgrounds to apply. If you need accommodations, please let us know. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy . We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights .

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity Join Adobe’s mission to transform the future of creativity and data-driven experiences. We are seeking a senior computer scientist who brings a unique blend of software engineering, data science, and DevOps expertise to build scalable, intelligent systems that power Adobe’s next-generation platforms. This role fits a person who excels software development fundamentals, large-scale data technologies, and cloud infrastructure. They also reflect Adobe’s core values of creativity, ownership, excellence, and authenticity. Adobe strongly fosters and values its leaders. We look for individuals who lead with integrity and are role models for accomplishing business initiatives with the highest degree of trust, who create an inclusive culture where people do their best work, and who improve the contributions of the team. What you'll do Software Engineering : Design and develop robust, scalable applications and services across client-side (C++, iOS/Swift, Android/Java) or server-side (Java) environments. Own projects through the full software development lifecycle: requirements gathering, architecture, coding, testing, deployment, and maintenance. Apply strong computer science principles: algorithms, data structures, design patterns, and system architecture. Tune code to address high performance and load requirements. Respond to urgent production issues requiring fast resolution and deployment of code fixes/updates Data Science Engineering : Build and optimize PySpark jobs for large-scale data processing. Work with modern data ecosystems: Apache Hadoop, AWS EMR, Azure Databricks, or Azure Data Explorer (ADX). Implement machine learning workflows and integrate predictive analytics into production systems. Collaborate with the team to visualize, design, and experiment with data-driven agentic workflows. DevOps & Cloud Operations : Manage configurations and deployments for (elastic compute) Spark environments. Participate in system upgrades (OS, libraries, Spark versions) and ensure compatibility with data pipelines. Analyze cost dashboards and optimize resource utilization for Spark jobs. Provide cost projections for new Spark jobs in development. Collaboration & Leadership : Partner with teams (engineering, product, UX) to deliver impactful solutions. Communicate proactively: share successes, raise challenges early, and ask for help when needed. Contribute to a culture of innovation, inclusivity, and continuous improvement. What you need to succeed Education: Bachelor’s or higher in Computer Science, Engineering, or related field. Experience: 5+ years in software development with strong coding skills in Java, C++, or mobile platforms. Hands-on experience with PySpark and distributed data processing frameworks. Familiarity with cloud platforms (AWS, Azure) and data services. Skills: Solid understanding of computer science fundamentals: algorithms, complexity, parallelism, and system design. Knowledge of DevOps practices for data environments. Strong problem-solving and debugging skills. Strong written and verbal communication and interpersonal skills. Preferred: Experience with MLOps, CI/CD pipelines, and containerization (Docker/Kubernetes). Exposure to cost optimization and performance tuning for Spark workloads. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $159,200 -- $301,600 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $208,300 - $301,600 In Washington, the pay range for this position is $190,200 - $275,400 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California : Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.

Who Are We? Taking care of our customers, our communities and each other. That’s the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it. Job Category Data Science Compensation Overview The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards. Salary Range $169,400.00 - $279,600.00 Target Openings 1 What Is the Opportunity? Travelers Data Scientists are taking the organization to the next level of intelligence by using advanced statistical techniques and machine learning algorithms. As a Sr. Director & Data Scientist, you will lead a team responsible for challenging conventional thinking and use data to communicate insights and tell the story to business and analytics leadership. You will also collaborate with technology partners to drive analytics out to our products in the marketplace, giving Travelers a competitive advantage. What Will You Do? Communicate analysis, insights, and results to team, peers, business partners, and on an occasional basis to executive level leaders. Anticipate potential objections and influence senior leaders to adopt a different point of view. Lead a team of managers and individual contributors that are executing on multiple projects and activities. Partner with teams and leaders to ensure the successful execution of data science strategies. Set and manages expectations with business partners for portfolio of work. Generate ideas and drives consensus; is aware of potential conflicts. Make suggestions in the development of business plans for the portfolio. Broadly and frequently share expertise with the business and/or data science community through discussions, presentations, or peer reviews to improve business outcomes. Assist with recruiting, training, and talent assessment efforts. Provide guidance and coaching and drive career/technical development for team members. Perform other duties as assigned. What Will Our Ideal Candidate Have? Master's in STEM related field or equivalent. 10 or more years of related work experience, including 6 or more years of team leadership experience. Industry expertise in modeling/ research/ analytics or actuarial required. Industry level knowledge of value creation and business model concepts. Regularly interacts with executives and/or major customers using negotiating and/or influencing skills. Subject matter expertise in the majority of external software programs. Ability to apply emerging statistical procedures to large highly complex work. Recognized industry expertise in 2-3 of the following: Regression, Classification, Machine Vision, Natural Language Processing, Deep Learning and Statistical modeling. What is a Must Have? Master's degree in Statistics, Mathematics, Decision Sciences, Actuarial Science or related analytical STEM field plus six years of experience or any suitable and equivalent combination of education and work experience. Heavy concentration in mathematics, including statistics and programming, business intelligence/analytics, as well as data science tools and research using large data sets. Additional verification of specific coursework will be required. What Is in It for You? Health Insurance : Employees and their eligible family members – including spouses, domestic partners, and children – are eligible for coverage from the first day of employment. Retirement: Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers. Paid Time Off: Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays. Wellness Program: The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs. Volunteer Encouragement: We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice. Employment Practices Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences. In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions. If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you. Travelers reserves the right to fill this position at a level above or below the level included in this posting. To learn more about our comprehensive benefit programs please visit http://careers.travelers.com/life-at-travelers/benefits/ .

Who is Saint Louis University? Founded in 1818, Saint Louis University is one of the nation’s oldest and most prestigious Catholic universities. SLU, which also has a campus in Madrid, Spain, is recognized for world-class academics, life-changing research, compassionate health care, and a strong commitment to faith and service. Adjunct Assistant/Associate Professor – Health Data Science and Artificial Intelligence Applications in Medicine Department of Health and Clinical Outcomes ResearchSaint Louis University School of Medicine Position Summary The Department of Health and Clinical Outcomes Research at Saint Louis University School of Medicine invites applications for Adjunct Assistant or Associate Professor positions to teach graduate-level courses and mentor students in applied health data science and artificial intelligence in medicine. Primary Responsibilities Adjunct faculty will teach one or more of the following courses or related electives within the Department’s data science and AI curriculum: Privacy, Ethics, Regulation & Policy Introduction to Artificial Intelligence Predictive Modeling and Machine Learning Image Processing and Deep Learning Bioinformatics & Biomedical / Clinical Data Analysis Natural Language Processing and Large Language Models Reinforcement Learning for Clinical Decision Making Telehealth & Telemedicine AI for Precision Medicine & Genomics & Diagnostics Research in Medicine Additional responsibilities include: Develop and deliver engaging, practice-based course materials. Mentoring students on applied research and analytics projects using real-world datasets. Collaborating with program leadership to ensure content quality, alignment with learning objectives, and current best practices in AI and health data analytics. Participating in departmental meetings or student events, as appropriate for adjunct appointments. Qualifications Required: Ph.D. or equivalent terminal degree in Health Data Science, Biomedical Informatics, Computer Science, Biostatistics, or a related field. Demonstrated expertise in one or more areas of artificial intelligence, data science, or computational health analytics. Proficiency with relevant tools and languages (e.g., Python, R, SQL, TensorFlow, PyTorch, SAS). Strong communication skills and a commitment to high-quality, student-centered graduate teaching. Preferred: Experience teaching graduate courses in AI, data science, or health informatics. Applied or research experience involving AI deployment in healthcare, biomedical, or clinical contexts. Familiarity with regulatory, ethical, and equity considerations in digital health and AI. Record of scholarly or professional contributions in data-driven healthcare innovation. Appointment Details Type: Adjunct, non-tenure track Rank: Assistant or Associate Professor (commensurate with qualifications) Location: Saint Louis University School of Medicine (in-person, hybrid, or online options available) Start Date: Ongoing recruitment for upcoming academic terms Application Instructions Interested applicants should submit: A cover letter outlining teaching interests and relevant experience Curriculum vitae (CV) Contact information for three professional references Applications will be reviewed on a rolling basis until positions are filled. Function Faculty - Adjunct Scheduled Weekly Hours: 20 Saint Louis University is an equal opportunity/affirmative action employer. All qualified candidates will receive consideration for the position applied for without regard to race, color, religion, sex, age, national origin, disability, marital status, sexual orientation, military/veteran status, gender identity, or other non-merit factors. If accommodations are needed for completing the application and/or with the interviewing process, please contact Human Resources at 314-977-5847.

Ready to redefine what's possible in molecular diagnostics? Join a team of brilliant, passionate innovators who wake up every day determined to transform healthcare. At BillionToOne, we've built something extraordinary—a culture where transparency fuels trust, collaboration drives breakthroughs, and every voice matters in our mission to make life-changing diagnostics accessible to all. We don't just aim for incremental improvements; we strive to build products that are 10x better than anything that exists today. Our people are our greatest asset:talented scientists, engineers, sales professionals, and visionaries united by an unwavering commitment to changing the standard of care in prenatal and cancer diagnostics. This is where cutting-edge science meets human compassion—every innovation you contribute helps remove fear of unknown from some of life's most critical medical moments. If you're driven by purpose, energized by innovation, and ready to help build the future of precision medicine, this is where you belong. We are looking for a highly motivated Data Science + AI Intern to support BillionToOne’s efforts in scaling and automating critical data processes using AI. This internship is ideal for someone with a background in Data Science/Data Engineering/AI and an interest in applying AI-driven solutions to optimize sales operations, laboratory operations, customer support, and billing systems.Be part of a high-performing team on the cutting edge of prenatal and oncology diagnostics, working in a dynamic startup culture within a public company that is committed to changing the lives of hundreds of thousands of patients. Responsibilities: Work with stakeholder teams to develop and implement AI-driven automation solutions for scaling sales operations, lab operations, customer support, and billing processes. Assist in building and maintaining scalable data pipelines to support analytics and machine learning initiatives. Optimize data workflows by integrating AI models to improve efficiency and decision-making. Collaborate with cross-functional teams, including engineering, operations, and business teams, to understand requirements and propose data-driven solutions. Ensure data integrity, security, and compliance with industry best practices. Document technical processes and provide insights based on analysis and implementation. Qualifications: Currently pursuing a degree in Data Science, Computer Science, or a related field . College graduates are not eligible. Experience with Cursor, Claude Code, or other AI enabled IDEs is plus. Strong understanding of data engineering concepts , including ETL pipelines, database management, and cloud computing (e.g. Stitch, dbt). Experience with SQL, Python, and big data technologies Experience validating non-deterministic AI automation solutions Familiarity with machine learning and AI frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) is a plus. Experience with data visualization (Tableau) is a plus. Experience working with AWS cloud platform and data pipeline tools is a plus. Strong problem-solving skills, analytical mindset, and ability to work in a fast-paced environment. Benefits And Perks: Working with a team of ‘rockstars’ who bring out the best in everyone Open, transparent culture that includes weekly Town Hall meetings The ability to indirectly or directly change the lives of hundreds of thousand patients Free daily on-site lunches provided from top eateries Latest and greatest hardware (laptop, lab equipment, facilities) A variety of perks on campus (state of the art gym, restaurant) Free on-site EV charging (compatible with all EVs, including Tesla) At BillionToOne, we are proud to offer a combination of (1) competitive base pay, and (2) the opportunity for professional growth. "}" data-sheets-userformat="{"2":769,"3":{"1":0},"11":4,"12":0}">For this position, the base pay rate is: $4,333 per month. BillionToOne is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. For more information about how we protect your information, we encourage you to review our Privacy Policy . About BillionToOne BillionToOne is a next-generation molecular diagnostics company on a mission to make powerful, accurate diagnostic tests accessible to everyone. Our revolutionary QCT molecular counting technology enhances disease detection resolution by over a thousandfold using cell-free DNA—a breakthrough that's already transformed the lives of over half a million patients worldwide. Our Impact: We've pioneered game-changing diagnostic solutions that are redefining industry standards. Unity Complete™ stands as the only non-invasive prenatal screen capable of assessing fetal risk for both common recessive conditions and aneuploidies from a single maternal blood sample. In oncology, our Northstar® liquid biopsy test uniquely combines treatment selection with real-time monitoring, giving oncologists unprecedented precision in cancer care. Our Growth: From $0 to $125 million in Annual Recurring Revenue in just four years. We've raised close to $400 million in funding, including a $130 million Series D round in June 2024, achieving a valuation of over $1 billion. This backing comes from world-class investors including Hummingbird, Adams Street Partners, Neuberger Berman, Baillie Gifford, and Premji Invest. Our Recognition: Forbes recently named us one of America's Best Startup Employers for 2025 , and we were awarded Great Place to Work certification in 2024 —with an incredible 100% of our people reporting they are willing to give extra to get the job done . These honors recognize not just our innovation but the exceptional culture we've cultivated—one that remains authentically collaborative and transparent even as we've scaled. Our Future: Headquartered in Menlo Park with facilities in Union City, California, we're continuing to push the boundaries of what's possible in molecular diagnostics. Recent clinical outcomes data for Unity Fetal Risk Screen and new advances in cancer diagnostics prove we're just getting started. At BillionToOne, you'll join a diverse team of passionate innovators who believe that the best science happens when brilliant minds collaborate openly, think boldly, and never lose sight of the patients whose lives depend on our work. Ready to help us change the world, one diagnosis at a time? Learn more at www.billiontoone.com

DS position in X32 as a support for a Natural Language Processing (NLP) project to accurately and automatically tokenize language data with spoken or written origins. This position involves developing automated solutions for the annotation of language data. This includes parts of speech information, and improved existing models by scoring performance against human-generated annotations for speech and text. The requirement involves NLP, machine learning (ML), data modeling, and programmatic optimizations where needed all while interacting with a premier agency system. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader All Job Posting Locations: Horsham, Pennsylvania, United States of America, Malvern, Pennsylvania, United States of America, Spring House, Pennsylvania, United States of America Job Description: Johnson & Johnson Innovative Medicine is recruiting for a Sr Director, Head of Data Science & Digital Health – Therapeutics Development & Supply (TDS) This position can be located in Spring House, PA; Malvern, PA; Horsham, PA; or Beerse, Belgium. For candidate based in EMEA with interest in working in Beerse, please apply to requisition: R-047946 Travel: Up to ~25% domestic/international Reports to: VP, R&D Data Science – DPDS Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Role Summary Therapeutics Development & Supply (TDS) is the bridge between scientific discovery and clinical application, encompassing Chemistry, Manufacturing & Controls (CMC), Device Development, and Clinical Supply Chain. This organization ensures that every molecule, modality, and delivery system is robustly developed, scaled, and supplied under rigorous quality and regulatory standards. We are seeking a Global Head of Data Science & Digital Health – TDS to enable and embed AI/ML and advanced analytics into the core of drug development and supply. In close partnership with TDS teams and the broader DPDS organization, this leader will transform process design, scale-up, and clinical supply optimization into data-driven engines of speed, reliability, and compliance across all modalities—small molecules, biologics, and cell & gene therapies. By championing digital twins, predictive modeling, and GenAI-powered knowledge acceleration, this role will industrialize development processes and strengthen J&J’s leadership in innovative medicine through deep collaboration with TDS functions, JJT, and enterprise data/AI partners. Key Responsibilities Strategy & Portfolio Leadership: Partner to define and execute the TDS Data Science strategy aligned to TDS/DPDS priorities; build a multi-year roadmap for data, analytics, AI/ML (incl. GenAI); manage portfolio prioritization, funding, and value realization. CMC, Product & Process Development: Enable scientists and engineers to build and expand scientific models by providing an ecosystem of tools, standards, and scalable capabilities. Support citizen data scientists and DOS teams within TDS through training and frameworks, ensure model governance and interoperability, and create pathways to scale models for broader utilization and reuse. Provide expert guidance and advanced data/modeling support where needed, while fostering collaboration across TDS modalities, DPDS, and the broader R&D organization. Device/Combination Product & Platform Engineering: Apply reliability modeling, image/signal analytics, and simulation to device/combination product performance and manufacturability. Clinical Supply Chain Analytics: Build forecasting, simulation and optimization engines for clinical supply, IRT signal integration, and risk-based inventory strategies; develop scenario planning/digital twin for clinical supply networks. Platforms, Data & MLOps: Co-own with DOS and JJT the data and ML platform architecture, MLOps, model monitoring, and governance for GxP contexts. GenAI & Knowledge Acceleration: Lead targeted use of GenAI/LLMs for technical documentation, regulatory authoring aids, and knowledge acceleration. External Innovation & Partnerships: Scout and partner with academia/startups/CROs on cutting-edge discovery, development and manufacturing analytics. People & Community Leadership: Build and lead a global team of data scientists, AI/ML engineers and applied statisticians; upskill TDS Scientists and Engineers with Data and AI/ML fluency. Quality, Safety & Compliance: Ensure data integrity, model validation, computerized systems compliance, and transparent model interpretability in regulated environments. Qualifications Required: PhD (or equivalent experience) in Chemical/Biochemical Engineering, Bioinformatics Pharmaceutical Sciences, AI/ML, Applied Math/Statistics or related field. 15+ years applied data science/AI leadership in biopharma development/CMC and/or clinical supply, including experience leading multi-disciplinary teams in a matrix setting. Demonstrated outcomes in process and analytical development or clinical supply analytics. Fluency with modern ML techniques, and MLOps on cloud platforms; experience integrating with LIMS/ELN/MES. Proven ability to synchronize tech and data science roadmaps, and drive portfolio value realization. Excellent communication and matrix leadership across scientific, technical, and business stakeholders in a global organization. Preferred: Experience across multi-modality portfolios (small/large molecules, cell & gene). Familiarity with GenAI/LLMs in R&D settings, agents, and AI deployments in a regulatory setting. Prior collaboration with External Innovation partners in development/manufacturing technologies. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource. #JRDDS #JNJDataScience #JNJIMRND-DS Required Skills: Preferred Skills: Advanced Analytics, Budget Management, Business Alignment, Compliance Management, Consulting, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Inclusive Leadership, Leadership, Strategic Thinking

About This Role: We are seeking a Director of Advanced Analytics, Data Science & AI to spearhead efforts in generating and delivering data-driven insights that bolster a brand, therapeutic area, or cross-brand/enterprise initiatives, enhancing our innovative capabilities. Positioned at the heart of our strategic endeavors, this role involves influencing business partners, leading the execution and interpretation of AI/ML models, framing complex problems, and crafting compelling solutions. You will play a pivotal role in communicating clear and impactful data-driven insights across various teams. This dynamic and fast-paced position within a highly collaborative environment covers a broad range of strategic topics critical to our business success. To excel, you must possess an unwavering passion for data-driven problem solving, a robust background in data science and AI, and a track record of leading and developing high-performing teams that drive meaningful change and innovation within our organization. What You’ll Do: Provide an enterprise view of insights across Product/Brand and Therapeutic Areas on key topics like Resource Allocation, Measurement & attribution of market mix, channel optimization, digital analytics, predictive models, decision engine/next best action. Lead the development and implementation of data-driven solutions using advanced analytics, machine learning techniques, predictive algorithms, and AI-powered tools to extract actionable insights to drive US Commercial strategies and tactics. Manage and mentor a team of data scientists and AI experts to drive innovation and deliver high-quality results. Influence end-to-end delivery of data science insights, from framing the business question, designing the solution, and delivering recommendations. Break down technical concepts into digestible insights and guide diverse stakeholders on how to interpret them effectively. Collaborate within the insights & analytics team, coordinating efforts with counterparts to develop and execute a comprehensive brand analytics plan. Deliver consolidated insights and actionable recommendations to US Commercial teams, ensuring alignment with strategic objectives. Work closely with cross-functional teams to ensure seamless integration of brand analytics insights into decision-making processes and strategic initiatives. Define and track key performance indicators to measure the success and impact of data-driven solutions. Continuously evaluate and enhance existing brand/TA data science capabilities, identifying opportunities for optimization and innovation to drive greater business impact and ROI. Stay up to date with the latest advancements in data science and AI, applying them to improve processes and outcomes. Build university partnerships for driving innovation and leading-edge research techniques. Build strong relationships with key stakeholders across the enterprise, effectively communicating the value proposition of data science and fostering a culture of data-driven decision-making. Ensure compliance with data privacy and security regulations and maintain a high level of data integrity. Develop and manage budgets, resource allocation, and timelines for data science and AI projects. Who You Are: You have a proven ability to prioritize and manage complex projects, establishing vision and direction within a fast-moving, challenging, and energetic commercial environment. As a highly collaborative and perceptive problem-solver, you demonstrate an ability to synthesize strategic insights and drive innovation. Your exceptional ability to influence, collaborate, and communicate with internal and external stakeholders at all levels sets you apart. You navigate complex scenarios with strategic foresight, ensuring alignment with business objectives and fostering impactful outcomes through data science. Required Skills and Experience: A minimum 10 years of experience in advanced analytics in US commercial settings, including previous experience in biotech/pharmaceutical organizations or leading global management consulting firms. Minimum of a bachelor's degree, preferably in engineering, economics, statistics, computer science, or a related quantitative field. Business leadership skills to contextualize data science findings, recommendations, and implications for the business, influencing decision-making in areas such as resource allocation, marketing mix optimizations, and digital strategies. Extensive expertise and experience with both traditional SQL and modern NoSQL data stores, including SQL, and large-scale distributed systems such as Hadoop or working in Snowflake/Databricks. Strong experience with machine learning technology, such as big data stack, Python, R, and visualization techniques Job Level: Management Additional Information The base compensation range for this role is: $195,000.00-$269,000.00 Base salary offered is determined through an analytical approach utilizing a combination of factors including, but not limited to, relevant skills & experience, job location, and internal equity. Regular employees are eligible to receive both short term and long-term incentives, including cash bonus and equity incentive opportunities, designed to reward recent achievements and recognize your future potential based on individual, business unit and company performance. In addition to compensation, Biogen offers a full and highly competitive range of benefits designed to support our employees’ and their families physical, financial, emotional, and social well-being ; including, but not limited to: Medical, Dental, Vision, & Life insurances Fitness & Wellness programs including a fitness reimbursement Short- and Long-Term Disability insurance A minimum of 15 days of paid vacation and an additional end-of-year shutdown time off (Dec 26-Dec 31) Up to 12 company paid holidays + 3 paid days off for Personal Significance 80 hours of sick time per calendar year Paid Maternity and Parental Leave benefit 401(k) program participation with company matched contributions Employee stock purchase plan Tuition reimbursement of up to $10,000 per calendar year Employee Resource Groups participation Why Biogen? We are a global team with a commitment to excellence, and a pioneering spirit. As a mid-sized biotechnology company, we provide the stability and resources of a well-established business while fostering an environment where individual contributions make a significant impact. Our team encompasses some of the most talented and passionate achievers who have unparalleled opportunities for learning, growth, and expanding their skills. Above all, we work together to deliver life-changing medicines, with every role playing a vital part in our mission. Caring Deeply. Achieving Excellence. Changing Lives. At Biogen, we are committed to building on our culture of inclusion and belonging that reflects the communities where we operate and the patients we serve. We know that diverse backgrounds, cultures, and perspectives make us a stronger and more innovative company, and we are focused on building teams where every employee feels empowered and inspired. Read on to learn more about our DE&I efforts. All qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, sexual orientation, marital status, race, color, national origin, ancestry, ethnicity, religion, age, veteran status, disability, genetic information or any other basis protected by federal, state or local law. Biogen is an E-Verify Employer in the United States.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts, United States of America, La Jolla, California, United States of America, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: Johnson & Johnson Innovative Medicine is recruiting for Senior Director, R&D Data Science & Digital Health, Real-World Evidence (RWE) , Neuroscience The primary location for this position is flexible – Titusville , NJ; Raritan, NJ; Spring House, PA; Cambridge, MA; or San Diego, CA. J&J Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, immunology, neuroscience, cardiopulmonary and specialty ophthalmology. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market – from patients to practitioners and from clinics to hospitals. To learn more about Johnson & Johnson Innovative Medicine visit https://innovativemedicine.jnj.com/ The R&D Data Science & Digital Health, Real-World Evidence (RWE) team at J&J Innovative Medicine is dedicated to developing i nnovative evidence solutions and critical insights through diverse data sources including RWD , trial data and emerging innovative data sources to support clinical programs and regulatory submissions . This role will drive strategic collaborations, champion innovation, and elevate evidence development capabilities in Neuroscience . The successful candidate will lead a multidisciplinary team and manage internal and external partnerships , including collaborations with in the R&D Data Science & Digital Health team s and across the R&D stakeholders , to deliver impactful evidence to enhance R&D success and patient impact . Other key responsibilities are as follows: Lead and mentor a high-performing team of RWE scientists to deliver end-to-end evidence generation—from data feasibility and study design to analysis and presentation. Shape and execute strategic RWE initiatives in neuroscience, aligning with R&D priorities. Drive internal and external partnerships to conceptualize and deliver advanced insights and evidence solutions. Develop shared tools and best practices to foster a scalable, data-driven culture. Provide thought leadership in advanced methodologies (e.g., comparative effectiveness, external control arms, Bayesian method ). Advance capabilities in integrating multi-modal data to support precision medicine approaches. Required qualifications: Ph.D. or Master’s in epidemiology, biostatistics, outcomes research, health policy, or related field. 10+ years of relevant experience in biopharma, RWE consulting, or healthcare industries. 7+ years of experience as a people manager. Proven expertise in data extraction, cleaning, and analysis; strong grasp of statistical methods to mitigate bias and confounding . Experience with diverse data sources (EHR, claims, registries, trial data, digital health) . Strong communication skills, with the ability to effectively engage both technical and non-technical stakeholders. Proven leadership and influencing capabilities, with a track record of inspiring teams and driving cross-functional alignment. Highly motivated and intellectually curious, with strong executional rigor and a passion for solving complex challenges. Proficiency in R, Python, or SQL. A dditional valued qualifications : Deep n euroscience d omain e xpertise : in-depth knowledge of neurodegenerative , neuropsychiatric and ophthalmic diseases , clinical development , a nd trial design challenges Expertise in wearables & digital health technologies : de veloping and validat ing digital biomarkers , integrating wearables into clinical trials , designing clinical trials with decentralized elements Expe rience in multi - omics including designing and interpreting large-scale proteomic studies , analyzing data from large biobanks to identify causal drivers and clinical relevancy Experience integrating multi-modal data for holistic disease understanding and patient subtyping Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource. The anticipated base pay range for this position is $173,000 to $299,000 Additional Description for Pay Transparency Employees and/or eligible dependents may be eligible to participate in the following: Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company’s long-term incentive program. Employees are eligible for the following time off benefits: – Vacation – up to 120 hours per calendar year – Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington – up to 56 hours per calendar year – Holiday pay, including Floating Holidays – up to 13 days per calendar year – Work, Personal and Family Time - up to 40 hours per calendar year #JRDDS #JNJDataScience #JNJIMRND-DS Required Skills: Preferred Skills: The anticipated base pay range for this position is : Additional Description for Pay Transparency:

Skip the "entry-level grunt-work," and start making a real impact on Day 1. As part of the Red Ventures Launch program internship, you'll find unparalleled opportunities to gain exposure to the role and learn what it's like to work at RV over the 11-week summer internship period with the goal of getting a full-time return offer for the following summer. You'll start with a large cohort of interns who will be your community as you navigate the RV internship environment together. You will experience in-depth onboarding and extended training to help you learn the ropes, accelerate your growth, and further hone your skills. After getting ramped up, you will join your assigned RV team, meet your manager and mentor, and gain hands-on industry experience to invest in your career growth. Interns will also get the chance to get to know the Charlotte area and the RV culture through engagement events and social impact opportunities. The Launch Program internship is NOT a chance to sit on the sidelines to learn how we do things. It's your chance to dive in headfirst and take advantage of a 10-week vision into the work we do, learn from our top mentors, and get a jump start into your Red Ventures career while still in school. This role will be based out of our South Charlotte location Monday-Thursday, with remote work on Fridays. What You'll Do: Data Science Interns transform millions of impressions and unstructured data from our digital properties into powerful insights that help us deepen connections between brands and consumers. Gain hands-on experience applying advanced machine learning, statistical modeling, optimization techniques, and/or large language model(LLM) AI to solve real-world challenges in online and offline decision-making Own data science projects from start to finish with limited guidance Collect and mine data from disparate data sources, digging deeper to understand the process behind the data Communicate effectively with business and data science leaders on project status, timeline and technical results Translate business opportunities into data science problems, clearly defining project scope + performance metrics to measure success We don't believe in busywork, and we definitely don't believe in wasting time or talent on "getting coffee." As a Red Ventures Intern, you'll be expected to contribute new ideas, take ownership of meaningful projects, and make a real impact on our business. Typically, RV Interns receive an in-depth onboarding experience and participate in 1-2 large projects over the summer. With guidance from your mentors, you'll drive strategy, build tests, pivot, improve, and iterate until finally presenting results to your business team and RV senior leadership at the end of the summer. Our culture is built on feedback, and our Interns are no different. You'll receive two structured performance reviews over the summer, where your manager will work with you to identify key strengths, opportunities, and goals. Top-performing interns will be eligible for full-time offers at the end of the summer. What We're Looking For: Graduating Winter 2026 or Summer 2027 with a relevant Bachelors or Masters degree. Summer 2026 start date in our Fort Mill, SC office (just outside of Charlotte, NC). Experience solving complex problems through the use of predictive modeling Extensive experience in querying and processing data from complex relational databases Extensive training and knowledge in machine learning, statistical modeling and/or optimization. Expertise in deep learning, NLP, reinforcement learning, LLM, and recommended systems preferred Demonstrated ability to synthesize data into actionable insights and communicate recommendations to leadership Solid interpersonal and communication skills, with a track record of working well with business stakeholders Knowledge of digital attribution, digital data investigation, and testing skills is preferred Statistical programming knowledge (e.g., R or Python) is required Compensation: This range reflects total cash compensation, which may include base salary only or base salary plus target bonus, depending on the role. Where eligible, equity may also be offered separately and not included below. Actual compensation varies based on location, experience, and qualifications. Total Cash Compensation: $3,846.15 paid bi-weekly Who We Are: Red Ventures is a global portfolio of high-growth companies - spanning several U.S. businesses, a joint venture in the health services industry, and strategic investments in Europe and Puerto Rico. Their businesses include The Points Guy, Lonely Planet, Bankrate, the Allconnect Platform, RV Home Client Growth, RV Growth & Transformation, Sage Home Loans Corporation, RV Education and more. Across the portfolio, Red Ventures businesses deliver seamless digital experiences for consumers, help Fortune 100 clients solve large-scale digital growth challenges, and create world-class experiences and opportunities for employees. Learn more at redventures.com and follow @RedVentures on LinkedIn and Instagram. At Red Ventures, we believe diverse, inclusive teams are better. To help you better understand our core values and beliefs, we encourage you to watch this brief YouTube video: Our Belief Statements. This will give you insight into the principles that guide our work and our commitment to fostering an inclusive environment. We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program. Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodation@redventures.com. If you are based in California, we encourage you to read this important information for California residents linked here. #LI Click here for more details regarding the employee privacy policy: https://www.redventures.com/legal/us-emp-privacy-notice Questions about this Privacy Notice can be directed to employeerights@redventures.com. Alternatively, you may raise any questions or concerns to your manager, HR Business Partner, or through the Privacy Team. Create a Job Alert Interested in building your career at Red Ventures? Get future opportunities sent straight to your email. Create alert

Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent. Founded in 2011 and trusted by nearly 30,000 global businesses, Intercom is setting the new standard for customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers. What's the opportunity? The Research, Analytics & Data Science (RAD) team at Intercom uses data and insights to drive evidence-based decision-making. We're a team of data scientists and product researchers who use data to unlock actionable insights about our customers, our products and our business. We generate insights that build customer empathy, drive product strategy and shape products that deliver real value to our customers. We're now expanding our forward-deployed motion to meet growing demand from our most strategic customers. As a Senior Manager, Forward-Deployed Data Science, you'll lead a team of Forward Deployed Data Scientists who focus on high-impact technical engagements that shape how customers adopt, deploy, and scale Fin. You will act as a strategic partner to customer executives, GTM leadership, and product teams. This is a high-ownership role for someone who thrives in ambiguous environments, is energized by solving complex, real-world problems with data, and is motivated by seeing their work translate into both customer impact and product evolution. This role operates as a player-coach - leading strategic engagements firsthand while developing the team's capabilities and patterns for success. What will I be doing? Drive the adoption of Fin by helping customers automate and scale their support operations. Embed with strategic customers to understand their support workflows, data, and business challenges - to identify and implement opportunities where AI can deliver measurable impact. Steer customers toward best practices in measurement and AI adoption to realize the full value of Fin. Partner closely with Sales, Success, and Product to deliver seamless customer experiences and successful deployments, and to create feedback loops that shape product development. Use AI to prototype, test, and scale data-driven solutions, building tools that make us faster and more effective in driving Fin adoption and customer impact. What skills do I need? Proven ability to drive strategic, data-driven outcomes in complex, real-world business environments - ideally in customer-facing or enterprise contexts. Strong leadership in ambiguous, high-stakes environments - able to set strategy, prioritize, and guide a team through fast-evolving challenges and opportunities. Deep customer empathy and executive communication skills, with the ability to influence senior stakeholders, guide AI adoption strategy, and simplify complexity. Track record of building and scaling technical solutions using AI/ML, especially in areas like LLM applications, conversational AI, or intelligent automation. Strong SQL and fluency in Python/R, with experience applying analytical, statistical, and AI/ML techniques to business problems. Experience evaluating and deploying LLM-driven or conversational AI systems, including measurement frameworks and reliability assessments. Demonstrated ability to prototype quickly, balancing rigor with speed to accelerate customer outcomes. Bonus skills & attributes Experience in technical consulting, enterprise data engagements, or customer-facing analytics roles. Experience applying AI/LLMs to scale data science workflows or automate analysis. Familiarity with enterprise support operations, customer experience tooling, or SaaS platform deployments. Benefits We are a well treated bunch, with awesome benefits! If there's something important to you that's not on this list, talk to us! Competitive salary and equity in a fast-growing start-up We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen Regular compensation reviews - we reward great work! Pension scheme & match up to 4% Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents Flexible paid time off policy Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones If you're cycling, we've got you covered on the Cycle-to-Work Scheme. With secure bike storage too MacBooks are our standard, but we also offer Windows for certain roles when needed. Policies Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values. Intercom values diversity and is committed to a policy of Equal Employment Opportunity. Intercom will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.

Cytokinetics is a specialty cardiovascular biopharmaceutical company, building on its over 25 years of pioneering scientific innovations in muscle biology, and advancing a pipeline of potential new medicines for patients suffering from diseases of cardiac muscle dysfunction. We are seeking a highly motivated Intern to join our Global Supply Chain & Data Science group at Cytokinetics. Job Description: The Digital intern will engage with the Global Logistics function to enhance operational monitoring capabilities in the post-launch environment. This intern will deliver digital assets which increase the speed of Logistics decision-making, shorten the time needed to identify logistics exceptions, and reduce manual effort in Logistics reporting. The intern will primarily serve Logistics stakeholders, with secondary responsibilities in Planning, Finance, Clinical Supply Chain, Procurement, and Change Management. In accordance with team ways of working, the intern will also engage with the program management and portfolio team in order to properly register digital assets. The intern will be exposed to best-of-breed tools for data management, including Tableau, AWS Sagemaker, Postgres databases, and other technical products. They will utilize a technical skill set including SQL scripting for data modeling, Tableau visualization and dashboard building, and cloud data management. Additionally, the intern will employ softer skills such as change management, requirements gathering (translating technical work to a non-technical audience), and stakeholder presentations as the technical work is delivered to the functional teams. Requirements: The position requires a motivated individual with the ability to work independently and in a team environment. Additionally, we seek an individual with: Pursuing BS degree in Supply Chain, Industrial Engineering, Data Science or related area Proficient in data modeling using SQL; understanding of Python, R, or other scripting languages Experience with Excel and Tableau, including data organization, basic calculations, and development of dashboards and visualizations is a bonus Demonstrated ability to work collaboratively across teams and contribute to continuous improvement initiatives Strong analytical and problem-solving skills with the ability to support projects and meet defined deliverables Clear written and verbal communication skills, with the ability to summarize data and present information effectively Now is the perfect time for you to consider an Internship at Cytokinetics where you can put all of your skills to maximum use. When applying, please provide your spring break and summer availability. Cytokinetics is an Equal Opportunity Employer Pay Range: Our employees come from different backgrounds, and we celebrate those differences. We are looking for the best candidates for our open roles, but do not expect applicants to meet every qualification in order to be considered. If you are excited about what you could accomplish at Cytokinetics and believe you can add value to our team, we would love to hear from you. Please review our General Data Protection Regulation (GDPR) policy PRIOR to applying. Our passion is anchored in robust scientific thinking, grounded in integrity and critical thinking. We keep the patient front and center in all we do - all actions and decisions are in service of the patient and their caregivers. We champion integrity, ethics, doing the right thing, and being our best selves. Fraud Warning: How to Identify Impersonated Cytokinetics Job Postings and Offers Recently, there have been fraudulent employment offers being sent to candidates on behalf of Cytokinetics. Please be advised that all legitimate offers from Cytokinetics will come directly from our official email domain (Cytokinetics.com) and will only be made after completing a formal interview process. Here are some ways to check for authenticity: We do not conduct job interviews through non-standard text messaging applications We will never request personal information such as banking details until after an official offer has been accepted and verified We will never request that you purchase equipment or other items when interviewing or hiring If you are unsure about the authenticity of an offer, or if you receive any suspicious communication, please contact us directly at talentacquisition@cytokinetics.com Please visit our website at: www.cytokinetics.com Cytokinetics is an Equal Opportunity Employer

HPE Labs- Business Analyst Intern- AI and Data Science This role has been designed as 'Hybrid' with an expectation that you will work on average 2 days per week from an HPE office. Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world. Our culture thrives on finding new and better ways to accelerate what's next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Job Description: About HPE's Innovation Program Office HPE's Innovation Program Office is a mission-driven, pan-HPE organization focused on helping identify, validate, and integrate emerging and transformative technologies across the company. We are a small, agile, geographically-distributed team with a diverse array of professional and technical backgrounds, all collectively working to help seed new sources of innovation throughout HPE. Our mission of engaging with innovators - be they internal or external - enables us to provide advanced strategic insights to HPE's leadership, pursue strategic partnerships with technology vendors and suppliers, and nurture joint solutions relevant to HPE's customers. Position Summary We're seeking an Innovation Intern to help us assess new potential sources of innovation, investigate and validate new technologies, develop and maintain a strategic points of view critical to HPE's market position, and support our internal operations. As a key member of the team, the Innovation Intern can expect to be fully allocated to HPE's Innovation Program Office while regularly interfacing with all other HPE BUs. Depending on familiarity and experience, the Innovation Intern can also look forward to working alongside some of HPE's senior business leaders, with opportunities to directly engage at the VP, SVP, GM, and C-Suite levels. In particular, this role will include opportunities to materially contribute to the development of a new, high-visibility, startup-focused innovation program within HPE and gain exposure to the enterprise technology startup and venture capital ecosystems in the San Francisco Bay Area. This is a full-time role based out of the San Francisco Bay Area, though a remote role will be considered for exceptional candidates. Responsibilities: Assist in strategic business development projects, analyze market trends, and contribute to the development of business strategies relevant to HPE's Innovation Program Office. Support due diligence activities with primary and secondary research (e.g., engaging with BU counterparts, conducting market research and competitive analysis, building market maps and landscapes, gathering industry intelligence, etc.). Study pitch decks, product briefs, white papers, and other external materials from startups and analyze how those solutions might complement HPE's solutions. Develop and present materials that summarize your findings into clear and concise narratives consumable for senior business leaders. Contribute to the planning and execution of key projects, including milestone tracking and risk management. Work closely with cross-functional teams (e.g., engineering, marketing, sales) on various initiatives and projects. Assist with day-to-day operations and administrative tasks as needed. Participate in periodic reviews to share updates and incorporate feedback on assigned projects/initiatives. Qualifications: Exceptional candidates will meet most of the following criteria, while highly qualified candidates will possess more than half: A Bachelor's degree complemented by a background in science, technology, engineering, math, finance, economics, or other analytical fields from a rigorous, top-tier academic institution. An active student currently pursuing a Master's in Business Administration from a well-known, highly regarded university or business school. Work experience at a technology company, a technology startup, a venture capital or private equity firm focused on technology investing, a technology investment bank, at a technology consulting firm, or in corporate strategy and development. A strong intellectual curiosity and a passion for innovation and tech startups, especially in spaces relevant to HPE's enterprise technology portfolio (hardware, software, cloud, edge, data, AI/ML, networking, storage, compute, cybersecurity, silicon, quantum). A desire and drive to learn more about the tech innovation ecosystem, tech startups, entrepreneurship, how large publicly traded companies remain innovative, and the venture capital industry. Well-developed interpersonal, social, and relationship management skills. Excellent verbal and written communication skills. Comfort presenting to internal and external audiences, especially ones containing multiple levels of seniority. Strong ability to analyze complex data, identify key issues, and develop creative solutions. Aptitude for strategic thinking and the ability to formulate concrete recommendations. Strong problem-solving and analytical skills. Time management skills and working with strict deadlines. An intimate familiarity with Excel, Word, and PowerPoint. Ability to work and collaborate effectively in a dynamic, fast-paced environment while simultaneously handling multiple projects involving a variety of different teams and functional groups. Additional Skills: What We Can Offer You: Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing. Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division. Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. Let's Stay Connected: Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE. #unitedstates #interns Job: Administration Job Level: N/A "The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. United States of America: Hourly Salary USD 40.00 - 46.00 in Colorado // 40.00 - 46.00 in California // 40.00 - 46.00 in Texas The listed salary range reflects base salary. Variable incentives may also be offered." Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html The estimated job application period closure is May 26 2026; this timeline is provided for transparency and internal planning purposes. HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity. Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities. HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories. No Fees Notice & Recruitment Fraud Disclaimer It has come to HPE's attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates. These scammers often seek to obtain personal information or money from candidates. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication.

Job Title: Data Science Intern Role Overview: Are you looking for an opportunity to work with a talented team that can mentor your early career? McAfee is looking for someone who takes joy in finding simple solutions to complex problems, learning about how to support multiple teams in remote and hybrid environments, and shares our passion for making customers' digital worlds safer. This is a Hybrid Position located in San Jose, CA. We are only considering candidates within a commutable distance to the San Jose office. You will be required to be onsite on an as-needed basis; when not working onsite, you will work from your home office. About the role: Utilize your strong interest in statistical modeling, causal inference, and data-driven decision-making, as well as curiosity about how models are used in real products and business contexts Write clear, well-structured, and reproducible analysis code in Python and/or R (with experience using libraries such as pandas, NumPy, PyMC, scikit-learn, dplyr etc.) Use your intuition for data design and analysis workflows, including how to structure datasets, choose appropriate metrics, and communicate results clearly through visualizations and written summaries Work outside of a narrow academic comfort zone, quickly learn new tools or domains, and deliver practical results in a fast-moving, applied environment About You: Must be currently enrolled in an undergraduate or graduate degree program with an accredited college or university Must be able to commit to the duration of the internship timeline: February, 2026 through May, 2026. Working as an Intern does not guarantee a full-time opportunity upon graduation. This position is intended to provide you with educational and professional work experience Ability to prioritize tasks, meet deadlines, and work effectively in a fast-paced environment Desire to learn and grow your technical and interpersonal skills Strong work ethic and dedication to contribute to a culture of integrity, accountability, and teamwork Company Overview McAfee is a leader in personal security for consumers. Focused on protecting people, not just devices, McAfee consumer solutions adapt to users' needs in an always online world, empowering them to live securely through integrated, intuitive solutions that protects their families and communities with the right security at the right moment. Company Benefits and Perks: We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees. Bonus Program 401k Retirement Plan Medical, Dental, Vision, Basic Life, Short Term Disability and Long-Term Disability Coverage Paid Parental Leave Support for Community Involvement 14 Paid Company Holidays Unlimited Paid Time Off for Exempt Employees 96 Hours of Sick Time and 120 Hours of Vacation for Non-Exempt Employees Accrued Each Year We're serious about our commitment to diversity which is why McAfee prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status. The wage for this position is 25.00 USD Hourlyper hour. McAfee takes into consideration an individual's skillset, experience, and location in making final salary determinations. For further details, please discuss with the Talent Acquisition Partner. Please click here to view and download the Job Applicant Privacy Notice, which applies to all McAfee job applicants who are residents of the state of California.

Loyola Marymount University's Frank R. Seaver College of Science and Engineering is collecting resumes of potential applicants for future Part-Time faculty positions in the Department of Mathematics, Statistics and Data Science. There may not be openings at this time, but your application will be kept on file. Current applications will be reviewed as openings occur. The position, when needed, is assumed to be a one-semester appointment, normally to teach 1-2 courses. The Department of Mathematics, Statistics and Data Science serves approximately 75 majors and 50 minors across programs in Mathematics, Applied Mathematics and Statistics and Data Science. In addition, we teach many courses required by other majors across the university. Lecturers are typically hired to teach courses such as Algebra, Precalculus and Calculus; other courses may be available depending upon qualifications and experience. Additional information about the department, curriculum, courses, and faculty/staff is available online at https://cse.lmu.edu/department/math/ . Job Responsibilities The following is a non-exhaustive list of instructor job responsibilities: prepare and distribute a course syllabus; prepare and lead class sessions; hold regular office hours and answer student questions; develop, distribute, and/or grade discussion materials, homework, quizzes, and other course materials; write, proctor, and grade midterm and final examinations; maintain and timely submit class records, such as attendance and grade reports; attend meetings and training, as needed; and comply with all university standards and requirements. Minimum Qualifications Prior teaching experience is preferable. Must have the ability to use browser-based software services, and standard classroom and office equipment. Position requires excellent oral and written communication and interpersonal skills. Must possess ability to, and genuine interest in, meeting the educational needs of students, and sensitivity to, and understanding of, the diverse academic, socioeconomic, and cultural/ethnic backgrounds of the students. Required Education A master's or doctorate level degree. Special Instructions Apply online at https://jobs.lmu.edu . A completed application consists of: A current CV/resume Cover Letter Statement of Teaching References - 3 references required Minimum salary is $2,517 per unit taught. Faculty Regular Loyola Marymount University, a Carnegie classified R2 institution in the mainstream of American Catholic higher education, seeks outstanding applicants who value its mission and share its commitment to inclusive excellence, the education of the whole person, and the building of a just society. LMU is an equal opportunity employer committed to providing an environment free from discrimination and harassment as defined by federal, state and local law. We invite all persons in the full diversity of their being, life experience, and beliefs to apply. (Visit www.lmu.edu for more information.)

C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI C3 AI is searching for brilliant and ambitious Data Scientist Interns to join our Summer 2026 cohort. This isn't just about running models; you'll be on the front lines, working with iconic global brands on their digital transformation. You will tackle massive, complex datasets to build the next generation of enterprise AI applications that deliver real-world results. As a Data Science Intern, you are a problem-solver and a strategist. You will dive deep into customer challenges, partnering with our expert data scientists, software engineers, and industry specialists. Your mission will be to design and deploy sophisticated machine learning algorithms-from predictive maintenance to fraud detection-at an enterprise scale using our revolutionary C3 AI Suite. You won't just analyze data; you'll turn it into intelligence that drives critical business decisions. Responsibilities: Drive adoption of Deep Learning systems into the next generation of C3 AI products Design and deploy Machine Learning algorithms for industrial applications such as fraud detection and predictive maintenance Collaborate with data and subject matter experts from C3 AI and its customer teams to seek, understand, validate, interpret, and correctly use new data elements Qualifications: Pursuing MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent field Applied Machine Learning experience (regression and classification, supervised, and unsupervised learning) Experience with prototyping languages such as Python and R Strong mathematical background (linear algebra, calculus, probability, and statistics) Experience with scalable ML (MapReduce, streaming) Ability to drive a project and work both independently and in a team Smart, motivated, can-do attitude, and seeks to make a difference Proficient in spoken and written English Preferred Qualifications: Experience with JavaScript and Java Experience with time series and dynamical system A portfolio of projects (GitHub, papers, etc.) C3 AI provides excellent benefits and a competitive compensation package, which include: Salary range: $6,000 - $8,000 USD per month. At the office, we offer a fully stocked kitchen with catered lunches, a free on-site gym membership, Friday social hours with food, drinks, music, and plenty of opportunities to connect and network with your team. C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.

About the Role Insomnia Cookies is on a mission to sweeten the digital experience through intelligent personalization, predictive insights, and real-time decisioning. We're looking for a Senior Machine Learning & Data Science Lead who enjoys working hands-on with models, data, and production systems-while collaborating closely with product, engineering, and marketing teams. This role blends applied data science with practical ML engineering to help design, build, and improve AI-powered capabilities across our digital channels and operations. Sweet Position Perks: 4 day work week!! (yupp, we get every Friday off) Excellent comprehensive benefits coverage that includes medical, dental, vision & pet insurance plans 401K with contribution match 3 weeks paid vacation plus 2 paid Insomnia personal wellness days Relaxed, fun, come as you are office culture Free cookies, branded swag and so much more! What You'll Do Collaborate with teams to design and implement ML models for personalization, recommendations, targeting, and operational improvements. Develop predictive and forecasting solutions that use first-party data to support marketing, store operations, and inventory planning. Integrate models into production environments, partnering with engineers to ensure scalability, reliability, and maintainability. Contribute to experimentation efforts, helping design and analyze A/B tests to measure impact. Support ongoing model monitoring and refinement, ensuring quality, fairness, and explainability remain central. Work across the business to explore new opportunities where data science and ML can improve customer experience or operational efficiency. What You Bring 5+ years in applied ML, data science, or quantitative product roles. Experience with recommendation systems, predictive modeling, clustering, and time series forecasting. Practical experience deploying models to production (Python, AWS/GCP, APIs). Proficiency in SQL and working with large datasets. Familiarity with A/B testing and statistical analysis for experimentation. Ability to communicate technical concepts clearly to technical and non-technical audiences. Bonus: background in eCommerce, QSR, or real-time customer engagement systems. Why This Role Rocks Work on a variety of high-impact, customer-facing and operational projects. Be part of the early-stage buildout of our AI and ML capabilities. Collaborate with multiple teams on initiatives that directly shape digital experiences. Join a fast-moving, playful culture that values experimentation and innovation. About us: Insomnia Cookies was founded in a college dorm room by then-student, Seth Berkowitz. Fast forward 20 years and so... many....cookies... later, our innovative bakery + delivery concept has become a cult brand known for its rabid following of cookie lovers who crave Insomnia's warm, delicious delivery all day and late into the night. With an expanding footprint of over 300 stores globally, an experiential, "sweet-easy" concept as the brand's flagship in Philadelphia, Pa. (where Insomnia Cookies is headquartered), and a rapidly-growing nationwide shipping and gifting portfolio... Insomnia Cookies is revolutionizing the cookie game by truly "Imagining What's Possible"!

Datasite and its associated businesses are the global center for facilitating economic value creation for companies across the globe. From data rooms to AI deal sourcing and more. Here you'll find the finest technological pioneers: Datasite, Blueflame AI, Firmex, Grata, and Sherpany. They all, collectively, define the future for business growth. Apply for one position or as many as you like. Talent doesn't always just go in one direction or fit in a single box. We're happy to see whatever your superpower is and find the best place for it to flourish. Get started now, we look forward to meeting you.. Job Description: As the Director of Data Science, you will be the founding architect of our data science function and you will lead the evolution of our intelligence layer. You are responsible for transforming complex, abstract business problems into rigorous predictive models and experimentation frameworks. You will lead 1 or 2 Data Scientists to build "Data Intelligence Products" example: automated forecasting tools, risk prediction engines, and ML-driven initiatives that directly impact revenue and profitability. You are part Hands-on Scientist and part Strategic Builder, bridging the gap between abstract problem solving and concrete business outcomes. Responsibilities Intelligence & Model Development (The Engine) High-Impact Modeling: Directly oversee and contribute to the development of predictive models for revenue forecasting, profitability, and demand planning. Risk Prediction Tools: Architect and deploy tools for predictive financial risk assessment, helping the business identify and mitigate volatility before it occurs. ML/AI Roadmap: Define the vision for how AI/ML will be integrated into our modern data stack (Snowflake/dbt/Power BI) to automate complex decision-making. Experimentation Rigor: Establish the framework for A/B testing and statistical experimentation to validate business strategies and product changes. Strategic Leadership & Ambiguity Management (The Bridge) Abstract Problem Solving: Serve as the primary partner to the C-suite, translating vague business challenges into structured data science projects with clear ROI. Stakeholder Management: Work cross-functionally (Finance, Marketing, Ops) to ensure that predictive insights are not just "interesting," but are integrated into the operational workflow. Data Productization: Partner with Data Engineering to ensure models are "production-ready," moving them from local scripts to automated, reliable outputs in Power BI. Department Building & Talent Pipeline (The Growth) Team Scaling: Act as a "Player-Coach" to the current Data Science team while identifying the specific skill gaps (e.g., NLP, Deep Learning, MLOps) needed for future hires. Talent Pipeline: Proactively build a network and recruitment strategy for future Data Analytics and Data Science roles to ensure rapid scaling as the function proves its value. Standard Setting: Establish the "Data Science Playbook"-defining our standards for code quality, model validation, and documentation. The Ideal Candidate Profile Technical Mastery The ML Toolbelt: Deep expertise in the Python Data Science stack (e.g., scikit-learn, XGBoost, LightGBM) and deep learning frameworks (e.g., PyTorch or TensorFlow). Predictive Expertise: Deep experience in time-series forecasting, supervised learning, and causal inference. Time-Series & Forecasting: Mastery of libraries dedicated to financial and demand forecasting, such as Prophet, statsmodels, or sktime. MLOps & Deployment: Experience with model lifecycle management tools (e.g., MLflow, Weights & Biases) and deploying models via containers (Docker/Kubernetes) or as serverless functions. Statistical Logic: You don't just run models; you understand the "why" behind the math and can defend your methodology to technical and non-technical audiences. Mathematical Depth: Deep expertise in supervised/unsupervised learning, Bayesian statistics, time-series analysis, and causal inference. Generative AI & LLMs: Working knowledge of integrating LLMs (via LangChain, OpenAI API, or Hugging Face) into business workflows for unstructured data analysis. The Modern Data Stack: Proficiency in using Snowflake as a feature store and dbt for feature engineering. Business & Leadership Skills Entrepreneurial Spirit: You are excited by the prospect of building a department from the ground up, from selecting tools to hiring the team. Finance Acumen: You understand the levers of a P&L and how predictive modeling impacts revenue and margin. Communication: Exceptional ability to simplify complex "black box" concepts for executive stakeholders. Qualifications 10+ years of experience in Data Science or Advanced Analytics, with 3+ years in a leadership capacity. Proven track record of building and deploying predictive models (Revenue, Risk, or Forecasting) that achieved high business adoption. Modern Stack Experience: Deep familiarity with the Snowflake + dbt + Power BI ecosystem is a significant advantage. Proven track record of building and deploying predictive models using Python and SQL that achieved high business adoption. Toolkit Expertise: Hands-on experience with ML orchestration tools and automated testing for model performance (e.g., monitoring for Data Drift and Model Decay). Cloud Infrastructure: Experience with cloud-based ML platforms (e.g., Azure ML, AWS SageMaker, or Databricks) and how they integrate with data warehouses like Snowflake. Foundational Builder Experience: Experience hiring, mentoring, or designing a data science function is a significant plus. Master's or PhD in a quantitative discipline (Statistics, Mathematics, CS, Economics, etc.). An MBA combined with a technical background is highly valued The base salary range represents the estimated low and high end for this position based on a good faith assessment of the role and market data at the time of posting. Consistent with applicable law, each candidate's compensation offer may vary and will be determined based on but not limited to, your geographic region, skills, qualifications, and experience along with the requirements of the position. This position may be eligible for bonuses, commissions, or overtime if applicable. Benefits include health insurance (medical, dental, vision), a retirement savings plan, paid time off, and other employee benefits. Specific details will be provided during the interview process. Datasite reserves the right to modify this pay range at any time. $167,000.00 - $300,400.00 Our company is committed to fostering a diverse and inclusive workforce where all individuals are respected and valued. We are an equal opportunity employer and make all employment decisions without regard to race, color, religion, sex, gender identity, sexual orientation, age, national origin, disability, protected veteran status, or any other protected characteristic. We encourage applications from candidates of all backgrounds and are dedicated to building teams that reflect the diversity of our communities.

Attention: Kapitus is aware that individuals posing as recruiters may be communicating with job seekers about supposed positions with Kapitus. Kapitus has received reports that the content and method of communication can vary, but messages may contain requests for payment (e.g., fees for equipment or training) and/or for sensitive financial information. Kapitus will never ask a candidate for employment for payment or financial information during the initial application or interview process. All open positions are posted in location specific employment portals available at www.kapitus.com/careers All legitimate Kapitus job postings on employment sites will direct candidates to complete an application through these portals before completion of the hiring process. Candidates with additional questions or concerns regarding any recruiting communications or Kapitus' recruiting process in general should email recruiting@kapitus.com As a Data Science Intern, you will have the opportunity to work on real-world data science projects that directly impact business decisions. During your 10-12 weeks with us, you will focus on enhancing our credit risk prediction models, along with exploring new data sources and applying advanced machine learning techniques to improve the accuracy and interpretability of our underwriting models. Our department is responsible for developing and deploying machine learning models that support critical business functions across the organization, including Sales & Marketing, Underwriting, Collections, and Finance. These models play a vital role in optimizing decision-making, improving efficiency, and driving business growth. What You'll Do: Credit Risk Prediction Model Enhancement Develop a refined model with improved predictive power and actionable insights for underwriting decisions. Improve the accuracy and interpretability of our underwriting models by incorporating alternative data sources. Evaluate new feature sets from transactional and bank statement data. Test different machine learning techniques and optimize the model for better risk assessment. Data Exploration & Preprocessing Work on data cleaning, feature engineering, and preparing the dataset for model development. Model Development & Evaluation Build and refine machine learning models using appropriate techniques and evaluate their performance using metrics such as accuracy, precision, and recall. Business Insights & Recommendations Translate model results into actionable business insights and propose ways to implement these findings. Data Visualization & Reporting Create data visualizations to effectively communicate results and insights to business stakeholders. What We Are Looking For: Proficient in Python (Pandas, NumPy) or R for data analysis and manipulation. Experience with machine learning libraries such as scikit-learn, TensorFlow, or similar. Familiarity with algorithms such as regression, classification, clustering, etc. Ability to create clear and informative visualizations using tools like Matplotlib, Seaborn, or Tableau. Strong understanding of statistical methods for model evaluation and hypothesis testing. Ability to think critically and solve complex problems using data-driven approaches. Strong written and verbal communication skills, with the ability to present technical results to non-technical stakeholders. Company Mission: At Kapitus, we strive to empower every business to succeed by providing the best financing options - when they need it and how they need it. Whether we are working with a business directly or through a strategic partner, we will work diligently to provide the most convenient, cost- effective and appropriate financing solution for a business's needs. We promise to keep the best interests of our clients at the center of the financing process by operating with transparency, fairness, and integrity. We will continue to empower small businesses to make educated financial decisions, as we have since our inception in 2006. About Us: Kapitus is one of the most reliable and respected names in small business financing. As both a direct lender and a marketplace built with a trusted network of lending partners, we are able to provide small businesses the financing they need, when and how it is needed. We've spent the past 15 years building a culture that makes us excited to come to work in the morning. Our company is fast paced, teammates need to be self-directed and have an internal motivation to do the right thing, even when the right thing takes a lot of hard work. We show our teammates our appreciation by offering great benefits, competitive pay, and solid opportunity for growth. Consideration will be given to qualified remote candidates residing in states where Kapitus and/or one of its subsidiaries has an established physical presence.