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The Company: NorthMark Strategies is a leading investment firm, combining capital, innovation, and engineering to drive long-term value. From operating complex businesses to backing breakthrough technologies, our mission is to build enduring businesses. Our team combines intelligent risk-taking, operational excellence, exceptional talent, and world-class computing capacity to create shareholder value. Our company offers a dynamic environment where individuals have the freedom to lead companies toward bold achievements by embracing innovation, leveraging technology, and fostering differentiated business strategies. Our values are Integrity, Ability, and Energy, and the company aims to hire individuals who possess those qualities. At NorthMark Strategies, we believe the future isn’t something to hope for, it’s something to build. We don’t just invest, we create. Bringing together strategic insight and technical horsepower to deliver outcomes that endure. Position Overview We are seeking a highly analytical and detail-oriented Senior Associate, Quant & Data Science to join our portfolio analytics group. Data is at the heart of our business, and we see the ability to embed data-driven insight into the fabric of daily management as a core driver of competitive advantage for the firm. As a quantitative / data science focused Senior Associate, you will be at the forefront of facilitating data-driven decision making across the business. Key Responsibilities: Develop and automate valuation and return calculations for a global multi-asset class portfolio Support the development of performance attribution frameworks to identify drivers of performance within and across various asset class portfolios Develop, enhance, and maintain quantitative models and risk management tools to measure and manage market, portfolio, and liquidity risks across both liquid and illiquid asset classes Provide technical competence in translating Excel-based models into programmatic solutions Be a motivated self-starter eager to understand performance analysis in disparate asset classes and develop programmatic solutions that drive toward a coordinated view of performance across our global enterprise Requirements: Practical experience in a finance-oriented qualitative setting in a fast-paced, dynamic environment Ability to dissect ambiguous problems and determine the appropriate analytical techniques to apply High proficiency in data extraction, data cleansing, and quantitative analysis Experience with Quantitative & Data Science for creating models Strong academic credentials with a degree in a quantitative field Experience with Python is required and other languages are a plus Experience with Pandas, NumPY, SciPy, SciKit, Matplotlib, etc. Experience in financial / investment analysis is required It is impossible to list every requirement for, or responsibility of, any position. Similarly, we cannot identify all the skills a position may require since job responsibilities and the Company’s needs may change over time. Therefore, the above job description is not comprehensive or exhaustive. The Company reserves the right to adjust, add to or eliminate any aspect of the above description. The Company also retains the right to require all employees to undertake additional or different job responsibilities when necessary to meet business needs. Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future. Benefits & Perks: Hybrid-Work Schedule : We provide a hybrid working schedule with 3 days a week in the office Company-Paid Lunch Stipend : Lunch is provided via GrubHub Company-Paid Benefits: 100% Employer-Paid Medical in our High Deductible Health Plan, Dental and Vision benefits for employees and their families, 16 weeks of Paid Parental Leave, Employee Assistance Program, Life insurance, Short-Term Disability and Long-Term Disability 401(k): Company will match 100% of your contributions up to 6% Optional Employee-Paid Benefits: Medical insurance in our PPO plan and a variety of other benefits such as Health Savings Accounts (with Company Contribution!), Flexible Spending Accounts, Supplemental Life Insurance, Wellhub and more. Time Off: 25 days of Paid Time Off plus 12 company holidays EQUAL OPPORTUNITY EMPLOYER NORTHMARK STRATEGIES LLC IS AN EQUAL EMPLOYMENT OPPORTUNITY EMPLOYER. THE COMPANY'S POLICY IS NOT TO DISCRIMINATE AGAINST ANY APPLICANT OR EMPLOYEE BASED ON RACE, COLOR, RELIGION, NATIONAL ORIGIN, GENDER, AGE, SEXUAL ORIENTATION, GENDER IDENTITY OR EXPRESSION, MARITAL STATUS, MENTAL OR PHYSICAL DISABILITY, AND GENETIC INFORMATION, OR ANY OTHER BASIS PROTECTED BY APPLICABLE LAW. THE FIRM ALSO PROHIBITS HARASSMENT OF APPLICANTS OR EMPLOYEES BASED ON ANY OF THESE PROTECTED CATEGORIES.

A collective energy and ambition. A place where you can make a real difference. We’re a company that genuinely cares about our people, our products, our consumers and the environment. Our unique, informal culture champions courage, determination and collaboration. Knowing we have an open and supportive team means each of us has the freedom to take responsibility and ownership. We have a shared passion to work hard, innovate and push boundaries. United by the belief that when we strive for growth, anything is possible. While we might not be the largest company in our industry, we believe we can have the biggest impact because: Together We Have the Power to Win. 202 6 Master’s Data Science Co-Op (9 months) Church & Dwight Co., Inc. is offering early career opportunities in 202 6 with our Advance d Analytics Group . The data science co-op starts on May 28 th , 2026 , and runs through February 202 7 . This opportunit y include s exposure to leadership, professional development, networking events, and the chance to connect with students throughout various functions. What’s In It for You: Hybrid work schedule during the summer (Tues/Wed/Thurs in the office Ewing, NJ) Remote work schedule during school semesters Learning & Development opportunities Summer Speaker Series featuring executive leadership Networking opportunities with early career cohort Access to company store Final Capstone Presentation with leadership Housing Stipend - for students whose residential address is greater than 30 miles from the work site Who you are/What you will do: Currently enrolled MA/MS students who ar e pursuing a degree in Data Science , Mathematics, Business, or closely related discipline The co-op will be involved in multiple global projects focused on data ingestion, computation, transformation, and visualization Supports Team Lead in related analytics/data science project activities Works with team members to develop & implement analytics projects Analyzes data and creates reports/visualizations in R, Python, SQL, or Power BI Leads business requirements project phases and champion advanced analytics throughout the Organization Assists in analytics technology research and vendor engagement Qualifications: Knowledge/Familiarity with one or more of the following technologies: Power BI, R, Python, SQL, or related tools Aptitude and willingness to learn how to interface with different platforms, run reports, and engage with various company systems Ability and interest in working a hybrid schedule in Ewing, NJ during Summer 2026 Experience in Microsoft 365 applications ; some roles require experience in Power BI, Canva, Figma, TikTok, Instagram, and other relevant platforms. Experience managing multiple timelines and priorities Strong written and verbal communication skills Willingness to work in a fast-paced environment, desire to learn and contribute to a growing company Candidates must have US Work Authorization (US Citizen, permanent resident, green card holder) Church & Dwight is proud to be an Equal Opportunity Employer/Veterans/Individuals with Disabilities. For more information on our company, our brands and our culture visit us at http://www.churchdwight.com/

Vertical Bridge is the nation's largest private owner and operator of communications infrastructure and locations, providing build-to-suit and colocation solutions to the wireless industry. Founded in 2014, the company is headquartered in Delray Beach, Florida. In 2020, Vertical Bridge became the first tower company in the world to achieve the CarbonNeutral® company certified status and has been recertified every year since. Summary: The Data Science Analyst will support the company with insights gained from analyzing company data. The candidate must be adept at using large data sets to find opportunities and process optimization and using models to test the effectiveness of different courses of action. To succeed in this position, you must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building, and implementing models, using/creating algorithms, and creating/running simulations. You must have a proven ability to drive business results with your data-based insights. This also includes working with both internal and external customers to understand their needs, The candidate must have a strong understanding and ability to communicate complex technical concepts to non-technical audiences. Job Functions: Work with stakeholders throughout the organization to identify opportunities for leveraging data to drive business solutions. Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Develop custom data models and algorithms to apply to data sets. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes. Coordinate with different functional teams to implement models and monitor outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy. Develop company A/B testing framework and test model quality and stay up to date on the latest industry trends and providing executive reporting. Perform other duties as assigned by the Director Business Analytics Supervisory Responsibilities: None Working Conditions and Physical Demands: Position will work directly from the corporate office with minimum travel. Required to attend department and company meetings. Education and Experience: Bachelor’s degree in data science, Statistics, Computer Science, or a related field, or related experience Minimum 3 years of professional experience using a variety of data mining/data analysis methods Experience in data modelling, process mapping and specification documentation Experience querying databases and using statistical computer languages: Python, R, SLQ, etc. Demonstrated experience applying data science methods to real-world data problems Experience in developing, implementing, and maintaining system processes and procedures Experience in creating business cases for technology-related solutions Excellent communication skills, both verbal and written Strong analytical and problem-solving skills Experience in creating business cases for technology-related solutions Excellent time management skills and ability to prioritize tasks, use initiative and be self-directed to meet deadline Proficient MS Excel, Word, PowerPoint, and Visio user Strong ability to engage and influence stakeholders, at all levels across the business Strong organizational skills including outstanding accuracy and attention to detail Vertical Bridge is committed to a policy of equal employment and will not discriminate against an applicant or employee. Vertical Bridge is an Equal Employment Opportunity Employer M/F/D/V

At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It’s transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We’re not waiting for the future to arrive. We’re shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together. The Crown Is Yours As a Data Science Engineering Co-Op, you'll join a fast-moving team where innovation and data power everything we do. You'll work side by side with experienced Machine Learning and Data Science engineers to design solutions that drive the customer experience for millions of users. Whether you're optimizing marketing strategies, building recommendation systems, or detecting fraud in real-time, you'll dive deep into complex problems and see your contributions come to life. Here, you won't just observe—it's your opportunity to accelerate your growth in a tech-forward and data-driven environment. What You'll Do Contribute to the design and development of machine learning systems and data science solutions in production environments. Learn how to build, deploy, and operate scalable technical products as part of an engineering team. Contribute to internal research and development projects, delivering meaningful impact from the start. Work with an assigned team buddy to onboard quickly and effectively integrate with team workflows. What You'll Bring Pursuing a Bachelor’s degree in Statistics, Data Science, Mathematics, Computer Science, Engineering, or a related field is required. Strong understanding of statistics and hands-on experience programming in Python. Background in collaborative technical work, either through internships, academic projects, or team-based coursework. Familiarity with version control tools such as Git is preferred. Eagerness to explore new technologies, tools, and quantitative approaches. Prior internship or co-op experience in a corporate or technical environment is a plus. The US hourly range for this full-time position is $36-$45, plus bonus, equity, and benefits as applicable. Our salary ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range and how that was determined during the hiring process. Join Our Team We’re a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don’t worry, we’ll guide you through the process if this is relevant to your role.

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: Raritan, New Jersey, United States of America, San Diego, California, 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 Director, R&D Data Science & Digital Health, Real-World Evidence (RWE), Across Therapeutic Areas 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 decision-making . We are seeking a dynamic Director to lead Real-World Evidence (RWE) initiatives across therapeutic areas ( xTA ) within the R&D Data Science & Digital Health organization. This role will be instrumental in advancing our enterprise-wide RWE capabilities , fostering cross-functional collaboration, and driving innovation in evidence generation. The successful candidate will partner closely with senior leaders across R&D and commercial to shape the RWE ecosystem, influence regulatory policy, and elevate J&J’s scientific leadership internally and externally. This is a high-impact role for a strategic thinker and hands-on leader passionate about transforming healthcare through data-driven insights. Other Key Responsibilities include: Lead cross-TA RWE initiatives that support clinical development, regulatory submissions, and strategic decision-making. Partner with internal stakeholders and external collaborators to co-create integrated RWE strategies and solutions. Contribute to shaping regulatory policy and standards for RWE through scientific engagement s. Develop and disseminate best practices for novel RWE design and methodologies. Provide scientific leadership and subject matter expertise in study design, analytics, and interpretation of evidence research. Support the development of internal capabilities and tools to accelerate evidence generation and delivery. Promote a culture of innovation, scientific rigor, and continuous learning across the RWE function. Required qualifications: Ph.D. or Master’s in epidemiology, biostatistics, outcomes research, health policy, or related field. 8 + years of relevant experience in biopharma, RWE consulting, or healthcare industries. 3 + years of experience as a people manager. Proven expertise in data extraction, cleaning, and analysis; strong grasp of advanced statistical methods. 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. Preferred qualifications: Experience in regulatory-grade evidence generation and regulatory engagement. Demonstrated ability to lead cross-functional initiatives and influence without authority. Subject matter expertise in one or more therapeutic areas. Experience working in matrixed, global organizations. 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. #LI-GR #LI-Hybrid #JRDDS #JNJDataScience #JRD The anticipated base pay range for this position is : $160,000 - $276,000 Additional Description for Pay Transparency: 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 Additional information can be found through the link below.

With a career at The Home Depot, you can be yourself and also be part of something bigger. Position Purpose: The Data Science Sr. Manager is responsible for leading a team of data scientists (individual contributors, technical experts, and/or people managers), ensuring that their efforts drive business profitability, increased efficiencies and improved customer experience. This role harmonizes between the continuous drive towards data science research and learning and the needs of the business. As a Data Science Sr. Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions. This role is expected to lead the collaboration between Data Science Managers across the organization to align strategies and effectively manage talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations. As a Data Science Sr. Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions . This role is expected to lead collaboration between Data Science Managers across the organization for aligning strategies and effectively managing talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations. Key Responsibilities: 50% People Management & Team Leadership- Provide leadership, mentorship and coaching to direct reports and evaluate performance, execution, and contribution; Support Data Science Director in establishing a clear vision for the team and influencing reach with business partners; Attract, retain and develop top talent to build an effective and high performing teams; Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress; Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team; Foster collaboration and alignment between different data science roles to develop a supportive and engaged team; Ensure best practices and world-class techniques are leveraged in the solutioning for business problems and future team reach; Drive team's results and celebrate accomplishments 15% Program Management- Prioritize and assign projects by striking a balance between a variety of factors, like funding, return on investment, innovative or challenging work, among others; Manage programs for the team to ensure consistency of execution, balance of resources and quality solutions; Collaborate with program managers and business partners to align on objectives and expectations and ensure project teams deliver against them; Serve as escalation point for any issues or difficulties with specific projects; Provide executive updates to leaders at all levels of the organization on program effectiveness, team accomplishments, summary of findings and recommended solution, and explain internal and external impacts; Be a champion and advocate for the team's capabilities, expertise, and needs 25% Strategy & Business Development- Leverage extensive business knowledge and relationships to seek out new business opportunities to leverage data science and advocate for team's skills; Effectively develop trust and collaboration with internal customers and cross-functional teams; Ensure alignment with IT support model, collaboration, tools and governance to enable data scientists to be most effective in executing their roles; Collaborate with other data science managers across the organization to lead the efforts of developing high level strategy and optimizing talent management 10% Technical Exploration & Development- Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Ensure best practices and vision for data analysis and model productionalization are leveraged Direct Manager/Direct Reports: This position reports to Director or above This position has Direct Reports and manages programs Travel Requirements: Typically requires overnight travel 5% to 20% of the time. Physical Requirements: Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Demonstrated proficiency in predictive modeling, data mining and data analysis Proficient managing and growing team members in a professional setting Proficiency in guiding more junior team members through Data Science fundamentals in a professional setting Demonstrated experience with translating high level strategy to tactical execution Preferred Qualifications: 11+ years of experience in business intelligence and analytics Previous people or project team management experience Demonstrated expertise in predictive modeling, data mining and data analysis Mastery running queries against data (preferably with Google BigQuery or SQL) Proficient with data visualization software (preferably Tableau) Mastery utilizing statistical techniques to identify key insights that help solve business problems Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP Machine Learning experience Minimum Education: The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Preferred Education: No additional education Minimum Years of Work Experience: 10 Preferred Years of Work Experience: No additional years of experience Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences Develops Talent: Developing people to meet both their career goals and the organization's goals Directs Work: Provides direction, delegating and removing obstacles to get work done Drives Engagement: Creating an environment where people are motivated to do their best to help the organization achieve its objectives Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity Interpersonal Savvy: Relating openly and comfortably with diverse groups of people Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics Persuades: Using compelling arguments to gain the support and commitment of others Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies

Job Title: Adjunct Teaching- Computer Science- CS 235 - Data Structures and Algorithms Posting End Date: October 10, 2025 at 12:00 AM (MST) *NOTE: Last day to apply is Thursday, October 9, 2025 Position Start Date: January 2, 2026 Required Degree: MS or PhD in Computer Science or a related field. The required degree must be completed by the start date. Experience: Practical work experience in Computer Science. Duties/Expectations: A successful candidate should understand fundamental data structures and algorithms of computer science; basic algorithm analysis; recursion; sorting and searching; lists, stacks, queues, trees, hashing; object-oriented data abstraction. Documents Required at the Time of Application: Please attach your updated curriculum vitae and cover letter to the faculty application. Note: Failure to attach the required documents may result in your application not being considered. This position requires the successful candidate to relocate and/or reside in Utah for the duration of their employment. BYU Mission Alignment BYU is committed to hiring faculty members who enthusiastically embrace and energetically advance its unique mission. It is anticipated that BYU faculty members will: (1) live a life of loyalty to Jesus Christ and His restored Church and align yourself with doctrines and teachings declared by living prophets, seers, and revelators; (2) demonstrate intentionality in building faith in Jesus Christ and testimony of His restored gospel among students and others in the BYU community; and (3) teach your subject matter with the Spirit of God and strive to keep it "bathed in the light and color of the restored gospel" (Spencer W. Kimball). E mployment Requirements All new employees who are members of The Church of Jesus Christ of Latter-day Saints will be required to hold and be worthy to hold a current temple recommend. All employees are required to abide by the university's Honor Code and Dress & Grooming Standards. Preference is given to qualified candidates who are members in good standing of the affiliated church, The Church of Jesus Christ of Latter-day Saints. Successful candidates are expected to support and contribute to the academic and religious missions of the university within the context of the principles and doctrines of the affiliated church. Equal Opportunity Brigham Young University is an equal opportunity employer, including disability and protected veteran status.

Anticipated End Date: 2025-10-22 Position Title: Data Science Solutions Consultant Senior Job Description: Data Science Solutions Consultant Senior Location: Ideal candidates will be able to report to our Pulse Point location at 2505 N. Highway 360, Suite 300, Grand Prairie, TX 75050 This role requires associates to be in-office 3 days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work-life balance. This approach combines structured office engagement with the autonomy of virtual work, promoting a dynamic and adaptable workplace. Please note that per our policy on hybrid/virtual work, candidates not within a reasonable commuting distance from the posting location(s) will not be considered for employment, unless an accommodation is granted as required by law. Work Hours: Monday to Friday, 8:00 am to 5:00 pm The Data Science Solutions Consultant Senior will build end-to-end solution architecture for new business requirements and on-premises to cloud enablement. How You Will Make an Impact: Participate in all phases of design and development life cycle of analytic applications and reporting tools. Extract data loads from Teradata into Hadoop environment and create Hive tables. Perform data transformation and analysis of vast data stores to uncover insights. Build distributed, reliable, and scalable data pipelines to ingest and process data in real time. Perform coding and use job scheduling tools to schedule and monitor jobs. Mentor and guide the team by aligning them with overall product goals. Minimum Requirements: Bachelor’s degree in Computer Science or a related field. Three (3) years of experience working in related occupation(s). Three (3) years of experience must include three (3) years in all of the following: Building end-to-end solution architecture for new business requirements and on-premises to cloud enablement in Amazon Web Services and Google Cloud Platform. Participating in all phases of design and development life cycle of analytic applications and reporting tools utilizing various technology platforms in both on premises and cloud environments. Delivering projects using Spark and Python in the Hadoop ecosystem. Extracting data loads from Teradata into Hadoop environment and creating Hive tables. SQL in relational databases, including Teradata, Oracle and SQL Server, Big Data, and Hadoop technologies. Using Spark and Hive for data transformation, including using Spark SQL to perform analysis of vast data stores and uncover insights. Building distributed, reliable, and scalable data pipelines to ingest and process data in real time. Coding in Spark, Scala, SQL, and NoSQL and scripting using shell scripts. Control-M and Air-Flow tools to schedule and monitor jobs. Alternate Education/Experience Requirements: Employer will accept a Master’s degree in Computer Science or a related field plus one (1) year of experience working in related occupation(s). Must have one (1) year of experience in each of the skills listed above. Job Level: Non-Management Exempt Workshift: 1st Shift (United States of America) Job Family: RDA > Data Science Please be advised that Elevance Health only accepts resumes for compensation from agencies that have a signed agreement with Elevance Health. Any unsolicited resumes, including those submitted to hiring managers, are deemed to be the property of Elevance Health. Who We Are Elevance Health is a health company dedicated to improving lives and communities – and making healthcare simpler. We are a Fortune 25 company with a longstanding history in the healthcare industry, looking for leaders at all levels of the organization who are passionate about making an impact on our members and the communities we serve. How We Work At Elevance Health, we are creating a culture that is designed to advance our strategy but will also lead to personal and professional growth for our associates. Our values and behaviors are the root of our culture. They are how we achieve our strategy, power our business outcomes and drive our shared success - for our consumers, our associates, our communities and our business. We offer a range of market-competitive total rewards that include merit increases, paid holidays, Paid Time Off, and incentive bonus programs (unless covered by a collective bargaining agreement), medical, dental, vision, short and long term disability benefits, 401(k) +match, stock purchase plan, life insurance, wellness programs and financial education resources, to name a few. Elevance Health operates in a Hybrid Workforce Strategy. Unless specified as primarily virtual by the hiring manager, associates are required to work at an Elevance Health location at least once per week, and potentially several times per week. Specific requirements and expectations for time onsite will be discussed as part of the hiring process. The health of our associates and communities is a top priority for Elevance Health. We require all new candidates in certain patient/member-facing roles to become vaccinated against COVID-19 and Influenza. If you are not vaccinated, your offer will be rescinded unless you provide an acceptable explanation. Elevance Health will also follow all relevant federal, state and local laws. Elevance Health is an Equal Employment Opportunity employer, and all qualified applicants will receive consideration for employment without regard to age, citizenship status, color, creed, disability, ethnicity, genetic information, gender (including gender identity and gender expression), marital status, national origin, race, religion, sex, sexual orientation, veteran status or any other status or condition protected by applicable federal, state, or local laws. Applicants who require accommodation to participate in the job application process may contact elevancehealthjobssupport@elevancehealth.com for assistance. Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws, including, but not limited to, the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act.

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

Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description The Data Science Center of Excellence (COE) is seeking a Manager, Program Management to join the team! The role is a critical member of the team generating $500M+ of attributed revenue annually. Direct contribution of this role will come from driving the program success of our commercial data science business partners. How Will The Role Make an Impact Effective process, planning, issue resolution, and dependency management are paramount to this role. Translate business opportunities into strategic ideas and actions, driving cross-functional alignment and planning, and maintain strong interpersonal relationships with key members.Co-lead business PODs of highly skilled multi-functional team members committed to delivering business value and an outstanding commercial experience. Collaboration and the ability to co-own results are essential. What Will This Role Do Strategy planning & alignment: Collaborating with business partners, develop near and long-term planning. Set clear strategies, align functional objectives and assure plans for strong execution. Deeply understand COE technical capabilities. Guide, monitor, and assist with business data-driven Commercial playmaking / play optimization as needed. Prioritization & execution: Drive roadmap alignment with product management and ensure results meet expected businesses outcomes. Manage & lead: Ensure cross-functional and cross-business partnership to achieve business results. Deliver Change: Implement activities to accelerate adoption and utilization of data science within our sales and digital organizations. Opportunity development: Engage commercial and marketing customers to identify emerging opportunities. translate feedback and insights into growth initiatives. How Will This Role Get Here Education Bachelor’s degree in Business, Marketing, or a related field is required. Master’s degree in Business, Marketing, or a related field strongly preferred. Years of professional experience may be considered in lieu of a formal degree. Scientific background, in particular Life Sciences and/or Diagnostics is preferred but not required Experience 7+ years of Marketing, Commercial, Sales Operations, or Digital product management, with a consistent record in strategy and program/project management. 3+ years of change management and/or digital transformation Knowledge, Skills, Abilities Executive presence. Excellent verbal and presentation skills. Exceptional ability to influence at leadership and lateral levels. Ability to develop and implement strategy. Able to perform against robust growth target, considering various metrics and data inputs. Ability to work across a heavily matrixed environment. Effective at interpersonal relationships. Strong project management skills balancing short and longer term objectives Thermo Fisher Scientific Inc. is the world leader in serving science, with annual revenue exceeding $40 billion. Our Mission is to enable our customers to make the world healthier, cleaner and safer. Whether our customers are accelerating life sciences research, solving complex analytical challenges, improving patient diagnostics and therapies or increasing efficiency in their laboratories, we are here to support them. Our team of more than 100,000 colleagues delivers an unrivaled combination of innovative technologies, purchasing convenience and pharmaceutical services through our industry-leading brands, including Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon and PPD. For more information, please visit www.thermofisher.com . Benefits We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes: A choice of national medical and dental plans, and a national vision plan, including health incentive programs Employee assistance and family support programs, including commuter benefits and tuition reimbursement At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount

Company Information For more than 20 years, AEG has played a pivotal role in transforming sports and live entertainment. Annually, we host more than 160 million guests, promote more than 10,000 shows and present more than 22,000 events around the world. We are committed to innovation, artistry, and community, and leverage the power of our 300+ venues, leading sports franchises, marquee music brands, integrated entertainment districts, premier ticketing platform and global sponsorship activations, to create memorable moments that give the world reason to cheer. Our business is interwoven with the human mind and heart, and we strive to build a diverse and inclusive company that reflects the artists, athletes, and fans that we host; reach beyond traditional boundaries to support the communities in which we operate; and minimize our impact on the environment by adopting sustainable practices throughout our business operations. If you want to be challenged to up your game and make a difference, then join us in giving the world reason to cheer! Job Summary We are seeking a visionary Director of Data Science who will serve as a strategic leader in transforming how our organization leverages data to drive business decisions in the live entertainment industry. This role demands exceptional critical thinking skills, a keen eye for identifying untapped opportunities, and the ability to translate complex mathematical and statistical insights into actionable business strategies. Reporting to the VP of Data & Analytics and working closely with the Directors of Business & Consumer Analytics, this role will be responsible designing and implementing sophisticated models, then translating technical insights into clear business value propositions. Incumbent will start and gradually grow a team of data scientists who employ a diverse ecosystem of creative machine learning models, applied experience in artificial intelligence, and advanced statistical analyses. Essential Functions Focus on research and development through statistical modeling of large amounts of data; identify patterns and trends in data sets to use towards predictive analytics; develop actionable insights to guide data-driven decision making for AEG Presents. Data concepts we’ll be analyzing include ticket purchases, marketing campaigns, audience engagement, ancillary revenue, and much more. While working on a team that focuses on Business & Consumer Analytics, this role will work with all areas of the business, including Product, Marketing, Ticketing, Promoting, Venue Ops, & more. Working with these teams, this role will be responsible in developing a data science plan that allows the functions to use ML and AI to create sustained value to revenue, customer experience, and operations. Develop and execute comprehensive data science strategy aligned with business objectives, including predictive analytics for ticket sales, dynamic pricing models, and audience segmentation Collaborate with data engineering team to integrate data collection, data quality and core model output into production systems, to automate and advance built out algorithms and models. Continuously scan the entertainment industry landscape to identify emerging trends and competitive advantages through advanced analytics Model performance reviews and ongoing maintenance Required Qualifications BA/BS Degree (4-year) MA/MS Degree preferred 8-10 years Experience in data science and statistics 4-6 years Experience building, managing, mentoring, and inspiring high performing, collaborative teams that values testing and learning Proven expertise developing algorithms for solving diverse business challenges and creating value for the company Talent in analytical storytelling with extraordinary ability to convey complex analytical results to both technical and non-technical audiences; skill at building relationships across the organization and becoming a trusted, sought-after partner A strong passion and evangelism for data science, coupled with deep desire to adapt machine learning and cutting-edge technologies to provide high impact to AEG Presents business model Strong background working with large-scale both structured and unstructured data in distributed computing environments, including databases, data cleaning, and feature engineering Passion and focus on execution with demonstrated ability to get things done Well-versed in Python, R, SQL, statistical tools Experience with iterative and rapid experimentation process in the context of research and analytics Experience in ticketing or entertainment is preferred. Payscale: $174,211- $182,921.55 Bonus: This position is eligible for a bonus under the current bonus plan requirements. Benefits: Full-time: We offer a comprehensive benefits package that includes: medical, dental and vision insurance, paid holidays, vacation and sick time, company paid basic life insurance, voluntary life insurance, parental leave, 401k Plan (with a current employer match of 3%), flexible spending and health savings account options, and wellness offerings. AEG reserves the right to change or modify the employee’s job description whether orally or in writing, at any time during the employment relationship. AEG may require an employee to perform duties outside their normal description.

Company Cox Enterprises Job Family Group Business Operations Job Profile Intern- Premium Management Level Individual Contributor Flexible Work Option Hybrid- Ability to work remotely part of the week Travel % Yes, 5% of the time Work Shift Day Compensation Hourly base pay rate is $28.65 - $42.98/hour. The hourly base rate may vary within the anticipated range based on factors such as the ultimate location of the position and the selected candidate’s knowledge, skills, and abilities. Position may be eligible for additional compensation that may include commission (annual, monthly, etc.) and/or an incentive program. Job Description We encourage candidates to apply to no more than three internship opportunities within a 90-day period. Our recruiting team will review your application and ensure you are considered for the opportunities that best align with your skills and interests. There’s something really inspiring about the idea of innovators teaming up to build something incredible. If you agree, then you might be a perfect fit for a tech job at Cox! Across the Cox family of businesses (Cox Enterprises, Cox Communications and Cox Automotive), we’re looking for Data Science Interns to join our team and learn from the best. Ready to collaborate with us and work at a great company that truly cares about you and your future? Keep reading! What’s In It For You? We value your time and potential. At Cox, you’ll be exposed to meaningful and challenging work. You won’t be left alone to figure things out. You’ll have a team of supporters (plus an assigned program mentor) who will show you the ropes, guide you to excellence and cheer you on. You’ll experience real accountability to develop your professional skills. You’ll expand your network and professional toolbox through exposure to senior leaders. You’ll help us build a bold future that is sustainable, accessible and inclusive. What You’ll Do : Learn how to extract, transform, and load (ETL) the data for analysis. Learn how to perform data cleansing and exploratory data analysis. Learn how to work with different data sources to be able to produce the requested analysis. Learn how to analyze machine learning results. Learn how to measure the effectiveness of marketing initiatives using optimized contact strategies for marketing activities. Produce reports summarizing your findings. Able to forecast marketing activities. Preferred: STEM majors are encouraged to apply, with preference to Math, Stat, Computer Science, and Engineering majors. Intermediate to advanced analytical skills. Ability to conduct thorough research and use the findings to inform decision-making . Python, PySpark , SQL or other coding and visualization skills are highly preferred. Hadoop and cloud computing. Strong analytic skills . Strong background in Mathematics, Computer Science, or Statistics. Background using Microsoft tools mentioned above. Detail-oriented and able to meet project timelines through good time management and work prioritization. Oral and written communication skills, as well as presentation skills. A positive attitude, determination, and humility. Don’t miss out on the first steps toward your future. Apply today! Intern/Co-Op sessions are considered temporary employment. No full-time employment commitments are made. However, depending on our business needs, some interns may be considered for a full-time position following the conclusion of the session conditioned upon the intern graduating from their academic program and being available to commence full-time employment at a specified time. Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. Benefits Benefits of working at Cox may include health care insurance (medical, dental, vision), retirement planning (401(k)), and paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO). For more details on what benefits you may be offered, visit our benefits page. About Us As our primary divisions Cox Automotive and Cox Communications drive new waves of innovation, Cox Enterprises is entering spaces like cleantech, healthcare, esports and more. We're a family business guided by a legacy of bold innovation that’s driven by those who want to make their mark. Benefits of working at Cox may include health care insurance (medical, dental, vision), retirement planning (401(k)), and paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO). For more details on what benefits you may be offered, visit our benefits page. Cox is an Equal Employment Opportunity employer – All qualified applicants/employees will receive consideration for employment without regard to that individual’s age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law. Cox provides reasonable accommodations when requested by a qualified applicant or employee with disability, unless such accommodations would cause an undue hardship.Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship.

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 The Data Science team is seeking a dedicated Data Science Engineer. This role provides an outstanding opportunity to work with exceptionally skilled professionals and influence our sales strategy directly. You will be instrumental in driving business growth by successfully implementing data-driven models that identify and size potential opportunities. You will partner with senior partners and team members to explore various data sources, engineer compelling features, then build, test, and evaluate models to prove their efficacy. Your ability to communicate complex model features to business owners will be essential for encouraging confidence and enabling sellers to drive impactful customer conversations. This is a fast-paced environment that requires the ability to make tactical decisions quickly to balance methodologies with business priorities. What You Will Do Develop and own rSAM models to size headroom opportunities in the book of business for specific offerings and customer segments Carry out in-depth business analysis to uncover the drivers behind performance gaps and make recommendations for change Engage with senior collaborators to understand key growth areas and ensure solutions align with business priorities Assess and improve the performance of sales campaigns with performance insights and recommendations for model enhancements Support the customer segmentation process using rSAM and other insights Provide different models like customer segmentation based on clustering, customer lifetime value based on survival analysis, and forecasting Deliver channel segmentation to determine customer engagement strategy and optimize lifetime value Collaborate with data engineering teams to productionize data pipelines and drive scalable solutions Automate model refreshes and account prioritization processes Build propensity models to drive sales campaigns using predictive modelling techniques What You Will Bring 5+ years of SQL experience for querying, cleansing, integrating, and summarizing complex data is essential Experience with Databricks and Python is desirable Proven experience of building, testing, evaluating, and improving revenue-generating data science models Knowledge of propensity modeling techniques and other modeling techniques would be beneficial Proven experience translating complex analytics into understandable insights for senior collaborators is essential Strong problem-solving skills and experience in a fast-paced business environment with changing requirements 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 $128,600 -- $234,200 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. 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.

Our Mission Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life. For more information, see our website at altoslabs.com. Our Value Our Single Altos Value: Everyone Owns Achieving Our Inspiring Mission. Diversity at Altos We believe that diverse perspectives are foundational to scientific innovation and inquiry. At Altos, exceptional scientists and industry leaders from around the world work together to advance a shared mission. Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. We are all accountable for sustaining a diverse and inclusive environment. What You Will Contribute To Altos We have an opportunity available for a contract Data Scientist to work in the field of cells, genomics and related areas. This role will focus on exploring statistical models, understanding the data and model behaviour to gain deep insights, focussing on biological mechanisms & hypotheses validation. Responsibilities Generate insights and models from multi-omics datasets (using public and internal data) to understand patterns, trends and relationships within data to inform decision-making and solve problems. Works across various domains, in partnership with Computational Biologists / Scientists and AI/ML Scientists offering integrated insights across disciplines Design, develops and programs methods, processes, and systems to extract, consolidate and analyze unstructured, diverse "big data" sources to generate actionable insights that form a hypothesis. Build databases and is responsible for the curation of Data, including experimental data management. Extracting knowledge, insights and predictions from data using Bayesian statistical methods, machine learning and data visualization to gain insights. Can demonstrate and apply depth in their statistical expertise and application & insights shared. Work with scientists to identify optimal ways to prepare, annotate, store and navigate their datasets, including data application design and improvement. Define and document best practices for capturing and entering experimental metadata, and educate scientists and collaborators about these standards. Build pipelines for quality control, processing and analysis of raw targeted and untargeted datasets. Develops and codes software programs and leverages algorithms and methodologies being developed by the scientific community for use cases of relevance to Altos Labs. Stay current with and adopt emergent analytical methodologies, tools and applications to ensure fit-for-purpose and impactful approaches. Partner closely with the Lab scientists and researchers to identify opportunities for data and insight mining to accelerate research. Embed analyses and visualizations in automated reports. Who You Are Minimum Qualifications PhD in interdisciplinary quantitative science such as Biology, Chemistry, Computer Science, Physics, etc. 2+ years of relevant work experience in either an academic or industry setting. Working knowledge of cell biology and experience in large scale data analysis and statistical modeling on datasets like RNA-seq, ATAC-seq, protein network, pathways, etc. Proven track record of completed scientific projects as evidenced by publications and preprints. Strong breadth and expertise in Statistical analysis, machine learning, data visualization, programming (Python, R, etc.), data cleaning and data manipulation. Tools: Python, R, SQL, TensorFlow, Scikit-learn, Tableau, Power BI. Ability to generate high quality ideas and be self-driven to explore. Strong experience in programming and comfortable modifying existing code-base. Experience with Python, R data cleaning and data manipulation or other related scientific languages. Willing to work in a collaborative environment and share periodic updates across the company. Preferred Qualifications Strong and demonstrable experience working in an AWS compute environment is a major advantage. Experience integrating prior knowledge from public databases (e.g., KEGG) into -omics data analysis pipelines. The salary range for Redwood City, CA: Scientist II, Data Science: $95.00 - $115.00/hour Exact compensation may vary based on skills, experience, and location. For UK applicants, before submitting your application: Please click here to read the Altos Labs EU and UK Applicant Privacy Notice (bit.ly/eu_uk_privacy_notice) This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment. Equal Opportunity Employment We value collaboration and scientific excellence. We believe that diverse perspectives and a culture of belonging are foundational to scientific innovation and inquiry. At Altos Labs, exceptional scientists and industry leaders from around the world work together to advance a shared mission. Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. We are all accountable for sustaining an inclusive environment. Altos Labs provides equal employment opportunities to all employees and applicants for employment, without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Altos prohibits unlawful discrimination and harassment. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Thank you for your interest in Altos Labs where we strive for a culture of scientific excellence, learning, and belonging. Note: Altos Labs will not ask you to download a messaging app for an interview or outlay your own money to get started as an employee. If this sounds like your interaction with people claiming to be with Altos, it is not legitimate and has nothing to do with Altos. Learn more about a common job scam at https://www.linkedin.com/pulse/how-spot-avoid-online-job-scams-biron-clark/

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: R&D Product Development Job Sub Function: R&D Machine Learning Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts, United States of America, La Jolla, California, 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 a Senior Director of Generative AI - R&D Data Science & Digital Health. This position can be located in New Brunswick, NJ; Titusville, NJ; Springhouse, PA; La Jolla, CA; Cambridge, MA; Beerse, Belgium; High Wycombe, UK; or Zug, Switzerland. This position will require up to 25% travel. Candidates interested in the UK, Switzerland, or Belgium please apply using requisition: R-037006 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 About the Role: We are seeking a highly technical leader in Generative AI for our Research & Development Data Science & Digital Health (DSDH) organization. This position reports directly to the VP of AI/ML & Digital Health and is tasked with accelerating and scaling the research, development, and deployment of generative and agentic AI models and solutions for scientific, clinical, and regulatory use cases across R&D. The role encompasses a horizontal engagement across the entire R&D business, positioning you as a senior technical leader in areas such as AI/Generative AI, Large Language Models (LLMs), Large Reasoning Models, Multimodal and Agentic AI. This leader will work across the enterprise, partnering closely with Data Science & Digital Health teams, Johnson & Johnson Technology (JJT), J&J IM R&D therapeutic areas and functions, and interact with senior level stakeholders throughout the company. Responsibilities Lead the technical research and implementation of generative AI methods and multi-modal agentic systems, applied to scientific, clinical, and regulatory use cases across R&D. In close partnership with JJT, research, develop and deploy impactful and scalable GenAI solutions for therapeutic areas including Oncology, Immunology, and Neuroscience, as well as Discovery Product Development & Supply, Global Drug Development, and Global Regulatory Affairs organizations. Attract, upskill and retain top AI talents in the field, manage a technical team, and collaborate with key stakeholders in R&D, DSDH, and JJT. Drive strategic decision-making processes concerning Generative AI and Agentic AI, prioritize projects with partners, and lead the development of cross-R&D GenAI solutions. Drive J&J innovation in the field, leading to high visibility publications in top AI conferences and patents around Generative AI, reasoning, multi-agent systems, etc. Effectively partner with external companies, from startup to Big Tech, to accelerate GenAI development and adoption within J&J IM R&D. Collaborate with key academic centers for research development. Qualifications Advanced degree (PhD) in disciplines such as Computer Science, AI/ML, Engineering, Biomedical engineering, Applied Mathematics or similar. Minimum of 10 years of post-academic, industry experience. Extensive experience in creating scalable and impactful AI solutions, including managing their full life cycle (design, development, testing, deployment, operations & maintenance, etc.). Proven track record of technical proficiency in machine learning, deep learning, Large Language Models (LLMs), large reasoning models (LRM), agentic systems. Excellent coding and software development capabilities, effectively leading a technical team and partners towards the creation of scalable AI solutions. Strong experience in people leadership, and ability to work in a matrixed organization Excellent communication skills and strategic thinking capabilities. Experience in the Life Sciences, Healthcare, Pharmaceutical or Medical Tech sector is preferred. 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

We’re defining what it means to build and deliver the most extraordinary sports and entertainment experiences. Our global team is trailblazing new markets, developing cutting-edge products, and shaping the future of responsible gaming. Here, “impossible” isn’t part of our vocabulary. You’ll face some of the toughest but most rewarding challenges of your career. They’re worth it. Channeling your inner grit will accelerate your growth, help us win as a team, and create unforgettable moments for our customers. The Crown Is Yours Our Sports Modeling team comprises sports modeling experts and data science technologists, coming together to develop innovative products that deliver incremental value across our Sportsbook platform. As a Senior Data Scientist on the Sports Modeling team, you will develop models and data-driven solutions that enhance the Sportsbook experience for our users. In this role, you will work on implementing advanced sports models, refining data assets, and ensuring seamless integration into applications. What you’ll do as a Senior Data Scientist, Hockey Create statistical and machine learning models and integrate them into data science applications. Collect and engineer sports data assets to assist in model development. Implement the sports models and pricing engines in Python. Create automatic tests to ensure model and pricing engine accuracy. Collaborate closely with Trading, Product, Engineering, and QA teams to move projects from ideation to deployment. Test data flows and model integration in a larger business context. Coach and support more junior data scientists within the team . What you’ll bring Demonstrated passion for sports and a strong understanding of relevant leagues and their dynamics. A college degree in Statistics, Data Science, Mathematics, Computer Science, Engineering, or another related field. Proficiency in Python, with experience building statistical or machine learning models across various sports. Solid grasp of data science principles, statistical modeling techniques, and object-oriented programming concepts. Familiarity with tools and practices such as Kubernetes, Kafka, version control, and MLOps principles. Self-motivation and eagerness to expand knowledge and understanding of Sportsbook products and related technologies. Join Our Team We’re a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don’t worry, we’ll guide you through the process if this is relevant to your role. The US base salary range for this full-time position is 120,800.00 USD - 151,000.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific pay range and how that was determined during the hiring process. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

081730 instED-Information Technology This position is available to remote employees residing in Massachusetts. Applicants residing in other states will not be considered at this time. Position Summary: Our healthcare system is under tremendous pressure as we face an unprecedented global pandemic, ever rising costs, and a lack of capacity and access to quality care. These challenging circumstances have emphasized the need for innovative care delivery models that go beyond the traditional methods of caring for patients. We should no longer accept the fact that millions of people do not have access to proper care and visit Emergency Departments because they have no alternatives. The poor patient experience, the sub-optimal care, and the estimated $8.3B spent on unnecessary ED visits each year, make it extremely clear that something needs to be done. instED was founded to help solve these very problems. We strive to eliminate unnecessary and avoidable visits to Emergency Departments and the inpatient hospital admissions that often follow, by offering quality urgent care services in the comfort of the patient’s home. Come join this early stage, innovative, growing company, and team, and help deliver healthcare of the 21st century! The Data Science Manager at instED is a clinical/business-facing and technical-facing role that collaborates with clinical/business stakeholders They will support instED’s growing needs for data-driven decision making and building predictive tools/processes to derive key insights from advanced analytics. The Data Science Manager will focus on the data extraction and processing, analytics, feature engineering/selection, modeling and evaluation, results delivery, and model implementation. They will also build and/or implement tools to translate complex data and provide actionable insights to clinical and business users. This role needs to be a “full-stack” data scientist and has the exciting opportunity to contribute code and ideas at any part of the stack, with a focus on end user value. This position requires strong technical and analytical skills as well as experience working in healthcare sector. This position will report to the Chief Product Officer. Experience working with urgent care or care delivery settings is preferred but not required. Supervision Exercised: • No, this position does not have direct reports. Essential Duties & Responsibilities: • Contribute to the creation of analytics platforms and data products that will drive core business processes and be used by analysts across the organization • Analyze performance of existing risk based contracts to identify areas of improvement • Evaluate clinical and claims information shared by prospects to identify patient population and services for value based contracts • Support ongoing deployment of predictive models which help instED identify ER and in-patient utilization patterns as well as service needs of high-risk patient populations • Conduct directed analysis and translated complex information into actionable insights to help clinical/business leadership make better, data driven decisions • Maintain a current knowledge of emerging tools and techniques in machine learning, natural language processing, database systems, visualization, statistical modeling, data extraction/manipulation and so on • Be an expert and keep expanding knowledge in urgent care, health insurance and non-traditional care delivery models • Complete data science projects independently with minimum supervisor and guidance • Propose and conduct optimal solution to projects independently Working Conditions: • Standard office conditions. • This position can be remote with the option to work on-site in the Boston office location. Required Education (must have): • Master’s degree + 4 year of equivalent work experience • OR bachelor’s degree + 8 years of equivalent work experience (STEM major or related field preferred) Required Experience (must have): • Master’s degree + 4 year of equivalent work experience • OR bachelor’s degree + 8 years of equivalent work experience (STEM major or related field preferred) Required Knowledge, Skills & Abilities (must have): Business and Technical skills: • Extensive experience conducting analysis for Value Based Care Management models. • Expertise with Python (numpy, pandas, sklearn, nltk…) • Strong understanding of statistical techniques like descriptive statistics, inferential statistics, regression analysis, time series analysis, and probability distributions to analyze risk data and validate models • Experience and excellent understanding of machine learning modeling techniques and algorithms for tasks like risk prediction, fraud detection, and credit scoring. Familiarity with different algorithms (e.g., decision trees, neural networks) and their applications in risk management is crucial • Expertise with relational databases and SQL • Expertise with data visualization and tools • Experience with data exploration, data wrangling and feature engineering • Strong scripting and programming skills • Strong analytical mindset • Willingness to learn new technologies • Experience with cloud data warehouses and cloud provider services (e.g., GCP, AWS, Azure) • Track record of working on the machine learning pipeline from ideation, model training, through to deployment and production support • Track record of success in technology or software development environment • Track record of successful analytics projects of define and decomposite business/technical problems and solve them • Ability to develop competence in any programming, tool, or technology, that a problem requires; be data and tool omnivorous • Soft skills: • Be organized and flexible • Take initiative to own projects • Be able to work with interdisciplinary teams • Be able to explain technical concepts/results to non-technical audiences • Passion for creating work that is well-documented and reproducible • Ability to work with short iteration times in agile mode as well as the ability to carry out projects in a self-directed manner • Healthcare: passion for working at a healthcare organization Required Language (must have): • English Desired Knowledge, Skills, Abilities & Language (nice to have): • Experience with R • Experience in healthcare or health insurance organization • Experience using Power BI, Tableau, and Looker Experience with clinical claims and health record data • Experience building data pipelines in the cloud under the constraints of HIPAA • Publication or presentation of innovation in data science, machine learning or related area

Are you a data science expert eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of analytical discovery. With high‑quality training data, tomorrow’s AI can democratize world‑class education, keep pace with emerging technologies, and streamline data-driven decision-making for professionals everywhere. That training data begins with you—we need your expertise to help power the next generation of AI. We’re looking for data science specialists who live and breathe machine learning, statistical modeling, data engineering, data visualization, natural language processing, time series analysis, deep learning, and algorithm development. You’ll challenge advanced language models on topics like supervised learning, unsupervised clustering, regression techniques, model evaluation metrics, feature engineering, anomaly detection, and real-world data pipelines—documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on project scenarios and theoretical data science questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A master’s or PhD in data science, computer science, statistics, or a closely related field is ideal; peer‑reviewed publications, industry projects, experience with cloud platforms, or open-source contributions signal fit. Clear, metacognitive communication—“showing your work”—is essential. Ready to turn your data science expertise into the knowledge base for tomorrow’s AI? Apply today and start teaching the model that will teach the world. We offer a pay range of $8-to- $65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and high‑speed internet; company‑sponsored benefits such as health insurance and PTO do not apply. Job title: Data Science Specialist – AI Trainer Employment type: Contract Workplace type: Remote Seniority level: Mid‑Senior Level

Who we are At CarGurus (NASDAQ: CARG), our mission is to give people the power to reach their destination. We started as a small team of developers determined to bring trust and transparency to car shopping. Since then, our history of innovation and go-to-market acceleration has driven industry-leading growth. In fact, we're the largest and fastest-growing automotive marketplace, and we've been profitable for over 15 years. What we do The market is evolving, and we are too, moving the entire automotive journey online and guiding our customers through every step. That includes everything from the sale of an old car to the financing, purchase, and delivery of a new one. Today, tens of millions of consumers visit CarGurus.com each month, and 30,000 dealerships use our products. But they're not the only ones who love CarGurus-our employees do, too. We have a people-first culture that fosters kindness, collaboration, and innovation, and empowers our Gurus with tools to fuel their career growth. Disrupting a trillion-dollar industry requires fresh and diverse perspectives. Come join us for the ride! Role overview CarGurus is looking for a Product Manager who will help shape the roadmap for our Data Science team. You will collaborate closely with a number of teams including engineering, analytics, marketing, sales and a variety of other product teams to deliver exceptional data science led capabilities. Are you a driven collaborator with a strong track record of building data-driven products and capabilities? Do you bring curiosity, creativity, a passion for innovation, and analytical and cross-functional leadership skills? Are you excited by the mission to help millions of shoppers find their next car? Look no further; we'd love to invite you to apply! What you'll do Build a strong partnership with our Data Science team to support model development from concept to launch. Own the team's vision and roadmap; generate buy-in and facilitate cross-functional collaboration with a wide range of stakeholders. Ensure that prioritization of work aligns with high-level strategies and business objectives. Maintain high levels of engagement with stakeholders through various forms of written and verbal communication, including roadmaps, project plans, status reports, and executive presentations. Empower our team of Data Scientists to complete their best work - providing the necessary requirements, guidance, and space to unlock new opportunities to make our product better. Highlight and enforce data quality best practices and standards across the product and engineering organization, focusing on data integrity, consistency, and accuracy. Help implement policies to ensure compliance with industry regulations and organizational guidelines. What you'll bring 3+ years of product management experience with at least 1+ years building machine learning, predictive analytics or AI enabled products Expert judgment to help prioritize incoming requests based on value-add to the business. Strong team player with high emotional intelligence and the ability to bring people together across varying work styles Tenacious self-starter with the ability to work independently, particularly in a highly cross-functional or matrixed environment Excellent written and verbal communication skills Prior experience in a Data Science / ML or Analytics Working at CarGurus We reward our Gurus' curiosity and passion with best-in-class benefits and compensation, including equity for all employees, both when they start and as they continue to grow with us. Our career development and corporate giving programs, as well as our employee resource groups (ERGs) and communities, help people build connections while making an impact in personally meaningful ways. A flexible hybrid model and robust time off policies encourage work-life balance and individual well-being. Thoughtful perks like daily free lunch, a new car discount, meditation and fitness apps, commuting cost coverage, and more help our people create space for what matters most in their personal and professional lives. We welcome all CarGurus strives to be a place to which people can bring the ultimate expression of themselves and their potential-starting with our hiring process. We do not discriminate based on race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. We foster an inclusive environment that values people for their skills, experiences, and unique perspectives. That's why we hope you'll apply even if you don't check every box listed in the job description. We also encourage you to tell your recruiter if you require accommodations to participate in our hiring process due to a disability so we can provide the appropriate support. We want to know what only you can bring to CarGurus. #LI-Hybrid