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

ANALYTICA is seeking a Data Science Intern to support technology solutions. This role will be staffed during the Spring semester of 2026, covering the period from late January to late April/Early May. The purpose of this internship is to explore Data Science research that enables Analytica’s best practices. The interns will explore various Data Science technologies and will develop AI software & documentation. The intern team will present a demonstration of their solution, along with a writeup of their decision process. Responsibilities include (But Are Not Necessarily Limited To): Assisting the project team with development of different operational prototypes in the AI/ML & Automation space, which includes activities such as: Collaborating with team to understand how they technologies can improve business operations for our customers Using Python for activities including but not limited to: connecting to databases, SharePoint, APIs, or other data endpoints; development of AI/ML model prototypes, integrating statistical tests and validation, writing unit tests and testing frameworks. Creating technical documentation Assisting with development of operational prototypes in AI/ML and automation Collaborating with teams to improve business operations Testing and validating solutions Implementing simple CI/CD pipelines Integrating with AWS (EC2, SageMaker, Databricks) or Azure/Foundry Basic Qualifications: Undergraduate and/or graduate in a statistics, data science, computer science, mathematics, or related field. Experience with the following; Python development in Data Science Change control using Github Strong attention to detail, and ability to multi-task. Excellent communication skills High energy, enthusiasm, ability to learn quickly on the job Demonstrate the ability to apply critical thinking skills Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable laws When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity. Powered by JazzHR

Job Title : Data Science Lead Location : Los Angeles, CA Type : 3 + Months Rate : $Open (Best Possible) Core Requirements Bachelor’s degree in Computer Science or related field preferred. 7+ years of professional experience A focus on hardware is going to be key. Experience in GPU programming models, such as OpenCL or CUDA. Experience with cross platform model compilers like ngraph, XLA, TensorRT, etc. Systems-level experience with Linux Operating System. Previous experience leading assessments or evaluations (proof-of-concept type work). Strong communication skills are required as there is heavy client engagement on a day-day basis. Note: If interested please send your updated resume and include your rate/Salary requirement along with your contact details with a suitable time when we can reach you. If you know of anyone in your sphere of contacts, who would be a perfect match for this job then, we would appreciate if you can forward this posting to them with a copy to us. We look forward to hearing from you at the earliest!

We are seeking a Data Science Engineer to analyze complex instrumentation and control system data, detect trends and anomalies, and support engineering decisions. This role applies statistical, signal processing, and machine learning techniques to time-series data and develops tools to automate analysis and reporting. Core responsibilities: Develop and refine models to detect trends, anomalies, and equipment degradation Apply advanced statistical and machine learning techniques to time-series datasets Build automated pipelines for data processing, analysis, and reporting Collaborate with engineers and analysts to improve test methods and insights Translate complex analytical results into clear visualizations and actionable recommendations Research new diagnostic and monitoring technologies for instrumentation systems Compensation: $70,000 - $105,000 Requirements Qualifications: Bachelor’s or Master’s degree in Data Science, Engineering, Computer Science, or related field Experience working with large datasets, time-series analysis, and signal processing Proficiency in Python and machine learning/statistical modeling tools Strong analytical, problem-solving, and communication skills Ability to collaborate effectively with engineering teams Preferred Qualifications: Experience with industrial or safety-critical systems Familiarity with instrumentation and control system data Knowledge of data pipelines, automation tools, and database systems Experience visualizing and reporting complex technical data Benefits 4 weeks paid time off 401(k) with company match Health, dental, life, vision, and disability insurance Paid holidays Flexible hours

R2Net is a diamond and jewelry company with a technology soul. As a subsidiary of Signet, R2Net manages both the Blue Nile and James Allen brands while providing innovative e-commerce and supply-chain platforms to the diamond industry as a whole – including manufacturers, retailers, and consumers. As Senior Manager- Data Science, you will build out best-in-class modeling and analytical capabilities across R2Net, shortening the critical path between measurement and action. During the past decade, R2Net has invested in a rich ecosystem of versatile data assets, and you will now be charged with transforming that data into value for the organization. To achieve this, you will oversee the development and deployment of models across a wide range of functional areas – including Finance, Operations, Marketing, and Customer Service – and will design and implement dashboards, reports, and visualizations to make the team’s results understandable for business users across the company. Working with a mix of Data Engineers, Analysts, and Data Scientists, you will design statistically rigorous experiments and scalable A/B testing frameworks, implement algorithmic recommendation models, and conduct forecasting, clustering, and regression analyses. To ensure that the analytic and modeling work of the team achieves broad & effective usage, you will also have core ownership of reporting and dashboarding, thought leadership, and the mentoring & training of associates – your expertise will keep our analytics pipeline focused not only on model optimization, but on true business impact. By seamlessly translating between the business and data domains, you will solve problems in the realms of pricing, forecasting, supply-chain management, digital measurement, and assortment optimization – all while working to grow the overall analytical skills of the organization. You will be equally at home working with senior stakeholders, designing technical requirements for our Engineers and Data Scientists, and engaging with the data itself. These competencies will allow you to establish cutting-edge analytic processes through the org, and your leadership abilities, analytic acumen, and technical proficiency will help you embed a data-driven culture into all of R2Net’s key decision-making pipelines. Core Responsibilities: Data Scientific Modeling: Design and construct predictive models and analytic decision-making pipelines, turning raw data into action-recommendations for users across R2Net Reporting: Build, support, and maintain a wide range of dashboards and reports, ensuring that each asset features rigorous analytic approaches and strong visual design Experimentation: Conduct experiments in pricing, marketing, website design, and user recommendations, building rigorous A/B testing frameworks and strong causal inference models Culture: Guide the analytic culture of the organization by training & mentoring associates, establishing communities of practice, and creating data governance standards for R2Net Data: Take ownership of the structure, availability, completeness, and accuracy of R2Net's data, ensuring that each component of our analytic processes can be trusted and relied upon. Insights: Fulfill ad-hoc research and analytic requests across a wide variety of domain spaces and present core insights to stakeholders and business leaders. Requirements Bachelor's degree in Computer Science, Economics, Statistics, Marketing, or a related field 8+ years in analytics, BI, or data science, with 3–5 years of direct team leadership. Expert-level fluency in both SQL and Tableau, with the ability to communicate these skills to others. Proven experience leading analytics strategy at scale, preferably across multiple business units. Demonstrated ability to manage managers and multi-disciplinary teams. Broad experience across a wide variety of analytic domain spaces (revenue management, assortment, forecasting, digital optimization, segmentation, etc). Excellent relationship management, communication, and data-presentation skills, including a strong eye for the creation of compelling visual narratives. The ability to take initiative, act independently, and function under ambiguity. A penchant for innovation. Helpful, but not required: Experience with Snowflake and associated tools Familiarity with data engineering pipelines and systems (dbt, airflow, etc) Hands-on data-scientific modeling experience in R or Python Knowledge of best-practices in data-governance and data-security Exposure to database administration principles and schema design Competency in Agile-based approaches and frameworks Benefits At R2Net- James Allen & Blue Nile, many of our roles offer a high-quality, comprehensive benefits package including healthcare, paid time off, retirement planning and opportunities for career advancement. Some offerings are dependent upon the role, employment type, work schedule or location: Paid time off Medical, Dental, Vision and Prescription Insurance 401(k) Retirement Plan with company match Flexible spending account Health savings account Tuition Reimbursement Employee discount Parental leave Life insurance Annual base pay: $130,000 - $170,000. Final pay rate shall be determined and is based on experience and qualifications. At this time, R2Net will not sponsor a new applicant for employment authorization for this position. Additional Information: R2NET INC. is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status or any other basis prohibited under applicable federal, state or local law. R2NET INC. will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. #LI-WK1

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

Medical Guardian is a fast-growing digital health and safety company on a mission to help people live a life without limits. With 13 consecutive years on the Inc. 5000 list of Fastest Growing Companies, we’re redefining what it means to age confidently and independently. We support over 625,000 members nationwide with life-saving emergency response systems and remote patient monitoring solutions. Trusted by families, healthcare providers, and care managers, our work is powered by a culture of innovation, compassion, and purpose. About the Role We are seeking a highly strategic and execution-focused Director of Data Science and AI Automation to lead our data intelligence, machine learning, reporting, and automation ecosystem. This role will own the full lifecycle of data-driven decisioning, from ML model development to real time reporting to process automation using tools like n8n, Make.com, Azure Functions, and vibe-coding frameworks. You will oversee a multidisciplinary team spanning Data Science, Analytics Engineering, Automation Engineering, and ML Ops. You will partner closely with Engineering, Product, Operations, and Executive Leadership to build scalable, intelligent capabilities that directly improve business outcomes, drive automation, and enable AI powered experiences across the organization. Key Responsibilities 1. Data Science & Machine Learning Lead end to end development of predictive models, personalization engines, risk scoring, forecasting, and optimization frameworks. Oversee ML architecture, feature stores, pipelines, model retraining, validation, monitoring, and governance. Implement production grade ML Ops aligned with real time decisioning layers (Azure, Databricks, event-driven triggers, IOE). Build a roadmap for intelligent automation and generative AI powered capabilities. 2. Analytics, Reporting & BI Own the reporting and analytics stack across the company (Power BI, Snowflake, Databricks, APIs, data ingestion). Deliver executive dashboards, operational reporting, forecasting tools, and KPI measurement frameworks. Partner with Data Engineering to define data models, semantic layers, governance, quality checks, and observability. 3. Automation & Workflow Orchestration Lead design and deployment of automation initiatives using n8n, Make.com, Azure Logic Apps, Zapier, and custom Python workflows. Automate high value internal workflows across Operations, Care, Sales, Finance, and Engineering. Implement "vibe coding" automations, lightweight, rapid build, human in the loop AI automations that accelerate internal productivity. Drive adoption of event driven and AI-assisted process automation frameworks. 4. Leadership & Strategy Build and mentor a high-performing team of data scientists, ML engineers, BI analysts, and automation developers. Establish standards for experimentation, documentation, reproducibility, and operational excellence. Own the cross-company AI/automation roadmap, prioritization, resource planning, and execution. An advisor to executives on data strategy, AI capabilities, automation opportunities, and business impact. Qualifications 8+ years of experience in Data Science, ML, Analytics, or Automation roles, with at least 4+ years in leadership. Expertise in ML frameworks (Python, sklearn, PyTorch/TF, Databricks ML), modern BI environments, and automation tools (n8n, Make.com, Logic Apps, Airflow). Strong understanding of cloud ecosystems, Azure preferred (Event Hub, Service Bus, Functions, Databricks, APIM). Experience building automation and AI-powered workflows across operational departments. Proven record of owning a multi discipline team and delivering measurable business results. Excellent communication, stakeholder management, and executive facing leadership skills. Experience with generative AI, LLM integration, agentic workflows, or orchestration platforms. Strong understanding of data governance, compliance, security, and ML monitoring. Domain experience in healthcare, insurance, IoT, or consumer products is a plus Candidates must be authorized to work in the United States without current or future need for visa sponsorship. Must have the ability to work from our Philadelphia office on Tuesdays and Wednesdays. Benefits Health Care Plan (Medical, Dental & Vision) Paid Time Off (Vacation, Sick Time Off & Holidays) Company Paid Short Term Disability and Life Insurance Retirement Plan (401k) with Company Match

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are seeking a seasoned leader to drive Data Science consulting engagements in the pharma and life sciences domain, with a strong focus on Agentic AI, Generative AI, and advanced analytics solutions. The role involves leading client discussions, designing AI-driven solutions, and guiding cross-functional teams in delivering end-to-end data science projects. Responsibilities: Lead data science consulting engagements for pharma clients, ensuring business impact and value realization. Architect and implement Agentic AI, GenAI, and advanced ML solutions tailored for pharma and healthcare use cases. Build and scale RAG pipelines, conversational AI, and multi-agent systems to solve complex client challenges. Partner with senior stakeholders to define data strategy, AI roadmaps, and transformation programs. Stay updated on emerging AI technologies, regulations, and best practices in pharma. Requirements 10+ years of experience in Data Science/AI consulting Proven expertise in Agentic AI, GenAI, LLMs, and advanced machine learning. Strong knowledge of pharma and life sciences domain Proficiency in Python, SQL, cloud platforms (Azure/GCP/AWS), and modern AI/ML frameworks. Experience in building end-to-end AI solutions (data engineering, model development, deployment). Strong consulting, client management, and stakeholder engagement skills. Advanced degree (Master’s/PhD) in Computer Science, Data Science, AI, or related field preferred. Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

At TWG Group Holdings, LLC (“TWG Global”), we drive innovation and business transformation across a range of industries, including financial services (particularly capital markets and fixed income), insurance, technology, media, and sports, by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees. We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game-changing efforts in marketing, operations, and product development. Our solutions power trading desks, portfolio optimization, and risk analytics across fixed income, derivatives, and structured products. You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data-driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and drive enterprise innovation. At TWG Global, your contributions will support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses. The Role As the Staff Machine Learning Engineer (VP) on the AI Science team, you will be responsible for architecting and deploying cutting-edge ML systems that power core business functions across the enterprise. Reporting to the Executive Director of AI Science, you will play a critical role in driving the development of scalable ML infrastructure, production-grade models, and reusable frameworks that deliver measurable business outcomes—ranging from cost optimization to top-line growth. You will bridge quantitative research and technology, with deep understanding of fixed income markets and derivatives. You will act as a technical thought leader and strategic partner in shaping the direction of the organization’s machine learning investments, fostering a culture of rigorous experimentation, reproducibility, and responsible AI. Key Responsibilities: Design and deploy ML systems that solve high-impact business problems for critical workflows. Develop and implement advanced ML methods including time series forecasting, reinforcement learning, optimization algorithms, and probabilistic modeling. Lead the adoption of emerging ML techniques and tools (e.g., generative AI, LLM fine-tuning, vector databases, RAG) through rapid prototyping. Partner with AI researchers and data scientists to translate experimental models into production-ready systems, supporting scaling and generalizability across business domains. Own the development of foundational models and platform capabilities that serve as building blocks for downstream AI applications across the organization. Ensure ML models are designed with safety, fairness, and transparency in mind, and aligned with internal governance frameworks and external regulatory standards. Collaborate with cross-functional leaders in engineering, product, and business teams to embed ML-driven decision-making into core processes and workflows. Continuously evaluate emerging ML techniques and tools, and champion their adoption through rigorous prototyping, benchmarking, and knowledge sharing. Define and manage metrics to evaluate model performance and business impact, ensuring ML projects meet both scientific and operational standards. Design ML-driven pricing models for fixed income securities, derivatives, and structured products. Mentor other ML engineers and data scientists, fostering technical excellence and a culture of innovation and collaboration. Requirements 8+ years of experience building and deploying machine learning systems in production environments, preferably in investment banking, fixed income trading, or hedge funds, ideally within enterprise or platform-scale settings. Proven track record of leading ML projects from ideation to production, including cross-functional collaboration and technical ownership. Deep expertise in supervised, unsupervised, reinforcement learning or statistical modeling. Experience with multimodal, generative AI, or large language models (e.g., LLMs, diffusion models) is a strong plus. Proficiency in Python, along with modern ML and data stack tools (e.g., TensorFlow, PyTorch, scikit-learn, JAX, Ray, MLflow). Hands-on experience with MLOps principles and frameworks (e.g., CI/CD pipelines for ML, model monitoring, reproducibility). Strong understanding of cloud-based ML infrastructure (e.g., AWS SageMaker, GCP Vertex AI, or similar). Exceptional communication and collaboration skills, with the ability to translate technical details into strategic decisions. Strong foundation in fixed income analytics, derivatives pricing, and risk management. Commitment to responsible AI, including model fairness, transparency, and compliance with regulatory standards. Master’s or PhD in Computer Science, Machine Learning, Statistics, or a closely related discipline preferred. Preferred, but not required: Hands-on experience with Palantir platforms (e.g., Foundry, AIP, Ontology) - including developing, deploying, and integrating machine learning solutions within Palantir’s data and AI ecosystem. CFA or FRM certification Benefits Position Location This is a hybrid position based out of our New York, NY office. Compensation The base pay for this position is $290,000-300,000. A bonus will be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits. TWG is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Hourly Pay Range: $0.00 - $0.00 - The hourly pay rate offered is determined by a candidate's expertise and years of experience, among other factors. Position Highlights: Position: Postdoctoral Fellow-Imaging Data Science Location: Evanston, IL Full Time Hours: Monday-Friday, standard business hours Required Travel: A Brief Overview: The Center for Basic MR Research is seeking a highly motivated Postdoctoral Fellow in Imaging Data Science with expertise in MRI, preclinical models, data analysis, and deep learning. The successful candidate will contribute to cutting-edge research at the intersection of imaging and data science, focusing on developing and applying advanced imaging techniques and analysis methods. Experience in MRI and a solid understanding of preclinical models is required, and the proficiency in deep learning algorithms for imaging data interpretation is desirable. This role offers the opportunity to work in a multidisciplinary environment, collaborating with experts in imaging, computational science, and biomedical research. Our research employs a wide array of methods, including high-field MRI imaging on a Bruker 9T scanner, chronic microelectrode implantation, slice electrophysiology, computational analysis, and 2-photon imaging on several preclinical models of brain injury. The Postdoctoral Fellow will report to the Director of NMR Research. What you will do: Undergo training and assist in performing standard laboratory and research procedures, including MR imaging, following strict adherence to established procedures or research protocols Maintain necessary medical records Perform a variety of research procedures Conduct MRI experiments combined with other approaches Perform advanced data analysis Help maintain equipment Prepare publications and presentations, and assist with proposals What you will need: Education: Doctorate Medicine Required or Doctorate Biology Required or MD Medicine Required or MD Biology Required or PHD Medicine Required or PHD Biology Required Experience: 3 Years of experience in professional research laboratory Skills: Experience with preclinical models Experience with Bruker imagers Experience with behavior testing Experience with anesthesia Computer programming skills (e.g., Matlab) and data processing experience Good organizational and time management skills Benefits: Career Pathways to Promote Professional Growth and Development Various Medical, Dental, Pet and Vision options Tuition Reimbursement Free Parking Wellness Program Savings Plan Health Savings Account Options Retirement Options with Company Match Paid Time Off and Holiday Pay Community Involvement Opportunities Endeavor Health is a fully integrated healthcare delivery system committed to providing access to quality, vibrant, community-connected care, serving an area of more than 4.2 million residents across six northeast Illinois counties. Our more than 25,000 team members and more than 6,000 physicians aim to deliver transformative patient experiences and expert care close to home across more than 300 ambulatory locations and eight acute care hospitals – Edward (Naperville), Elmhurst, Evanston, Glenbrook (Glenview), Highland Park, Northwest Community (Arlington Heights) Skokie and Swedish (Chicago) – all recognized as Magnet hospitals for nursing excellence. For more information, visit www.endeavorhealth.org . When you work for Endeavor Health, you will be part of an organization that encourages its employees to achieve career goals and maximize their professional potential. Please explore our website ( www.endeavorhealth.org ) to better understand how Endeavor Health delivers on its mission to “help everyone in our communities be their best”. Endeavor Health is committed to working with and providing reasonable accommodation to individuals with disabilities. Please refer to the main career page for more information. Diversity, equity and inclusion is at the core of who we are; being there for our patients and each other with compassion, respect and empathy. We believe that our strength resides in our differences and in connecting our best to provide community-connected healthcare for all. EOE: Race/Color/Sex/Sexual Orientation/ Gender Identity/Religion/National Origin/Disability/Vets, VEVRRA Federal Contractor. #ZRNC #LI-JR2

Chamberlain Group (CG) is a global leader in intelligent access and Blackstone portfolio company. Powered by our myQ technology, we make access simple and secure for millions of homeowners, businesses, and communities worldwide. Our flagship brands, LiftMaster® and Chamberlain® , are found in 51+ million homes, and 14 million+ people rely on the myQ® app daily. Job Summary This role will play a crucial role in supporting and advancing our business by translating data and analytics into business impact. This position is uniquely embedded within our Residential Services business unit, directly aligned to the company’s top strategic objectives and positioned to influence business strategy through hands-on partnership. The Lead Data Science Analyst is responsible for reporting and analysis capabilities to proactively generate insights that optimize strategic choices. This role collaborates with a broad group of Product Managers, Decision Intelligence, Connected Services, Marketing, and Finance stakeholders through modeling, analysis, experimentation, and data-driven recommendations that provide critical insights to drive informed decision-making. This role demands acute business acumen complemented by strong technical analytical skills. Essential Duties and Responsibilities Build relationships with business leaders and truly understand their strategy, key initiatives, and KPIs for success such that you have shared ownership for reaching their goals. Identify trends, opportunities, and challenges within business operations. Proactively generate hypotheses that could improve business results by leveraging data-supported analysis. Proactively produce executive-level verbal and written analyses, insights, and reports that support data-driven recommendations. Develop a deep understanding of relevant data from various data platforms. Translate complex business requirements into analytical frameworks. Apply structured testing approaches to evaluate marketing and product initiatives across channels, uncover insights, and guide strategic decision-making through rigorous data analysis. Analyze customer journeys, funnel conversion, and cohort behavior to identify growth opportunities. Utilize SQL to extract, manipulate, integrate, and analyze large datasets. Create compelling visualizations and dashboards using tools like Power BI to communicate insights to stakeholders. Ensure data accuracy and integrity in all analytics and reporting. Drive the importance of data collection and creating meaningful tests to measure incremental growth. Analyze and interpret complex data to provide actionable insights that support business objectives. Maintain professional and technical knowledge by attending educational workshops, reading professional publications, establishing personal networks, and participating in professional societies. Contribute to the team effort by accomplishing related results and participating on projects as needed. Comply with health and safety guidelines and rules; managers should also ensure compliance across their teams. Protect Chamberlain Group’s reputation by keeping information confidential. Minimum Qualifications Education/Certifications: Bachelor’s degree in Business Analytics, Statistics, Mathematics, Econometrics, Engineering, or another related field with significant analytical coursework Experience: 5+ years of relevant work experience 3+ years of experience in an analytics role, preferably in product, marketing, or growth analytics 3+ years working with SQL or Python 2+ years of hands-on experience designing and analyzing large scale A/B tests and interpreting results in a business context 2+ years of experience building dashboards and reports in Power BI, Tableau, or other visualization tools Knowledge, Skills, and Abilities: Demonstrated aptitude distilling complex business problems into clear analytical solutions that can and will be adopted and implemented Ability to effectively lead projects from conception to conclusion, both independently and in a team environment (including working with both internal and external business partners) Strong foundation in designing, implementing, and analyzing A/B tests and other experimental methodologies to evaluate product and marketing strategies, optimize performance, and drive data-informed decision-making Exceptional SQL skills with a strong track record of working with complex datasets, including data extraction and manipulation. Strong understanding of business processes and strategic planning Strong verbal and written communication and presentation skills, with the ability to translate complex concepts into actionable business insights. Proven track record of leading projects and cross-functional teams Strong problem-solving skills and the ability to think analytically. Ability to work independently and collaboratively in a fast-paced environment. #LI-JM2 #LI-Hybrid The pay range for this position is $102,600.00 - $193,425.00; base pay offered may vary depending on a number of factors including, but not limited to, the position offered, location, education, training, and/or experience. In addition to base pay, also offered is a comprehensive benefits package and 401k contribution (all benefits are subject to eligibility requirements). This position is eligible for participation in a short-term incentive plan subject to the terms of the applicable plans and policies. Chamberlain Group wants all of its employees to succeed and encourages people of all backgrounds to apply. We’re proud to be an Equal Opportunity Employer, and you’ll be considered for this role regardless of race, color, religion, sex, national origin, age, sexual orientation, ancestry; marital, disabled or veteran status. We’re committed to fostering an environment where people of all lived experiences feel welcome. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence Recruiting@Chamberlain.com . NOTE: Staffing agencies, headhunters, recruiters, and/or placement agencies, please do not contact our hiring managers directly.

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.

Description A little about us: The Red Alpha Data Science practice grew out of Red Alpha's reputation in Software and System Engineering with our Department of Defense clients. As sometimes happens, customers who trust our expertise in adjacent areas asked Red Alpha to assist with some of their burgeoning Data Science problems. Culturally, it probably suffices to say that we take our work seriously, but not ourselves. Our leaders have spent time in the trenches and have cursed daylight savings time changes and trailing whitespace as many times as you have. We like to say that we spend 80% of our time cleaning the data...and 20% of our time complaining about cleaning the data. Joking aside, our voices matter, and it is easy to see how our decisions affect the Data Science practice and Red Alpha as a whole. We have a clear vision of where we are headed. Our team takes a pragmatic approach to Data Science, defining it loosely as the intersection of technical expertise, business acumen, and soft skills to solve business problems with data. We spend a lot of time trying to understand the problem before we set about building a solution, and we prefer lower tech useful solutions over shiny algorithms and dust on the shelf. Did we mention we’re pragmatic? We have a diverse set of skills across our team, and whether you are a traditional Data Scientist (whatever that means…), an Applied Research Mathematician, a Database Engineer, a Full Stack Developer, or something else in that neighborhood, if you have a knack for picking apart data to make sense of it, we would enjoy having a conversation with you. A day in the life: The Red Alpha Data Science Internship (summer of 2025) is a thorough and pointed experience doing real-time, meaningful data science work. Throughout your time at Red Alpha, you will take on tough problems, get executive exposure, engage in out-of-the-box solutions development, and participate in technical challenges. There are no gophers here. You will be treated as a professional peer, because you are one!Red Alpha invests heavily in the training, education, and professional mentorship of our interns. Each intern is paired with a mentor during their time with RED ALPHA to ensure they are engaged and immersed in work and experiences that will help them to grow professionally and broaden their technical tool set. From technology to business, we are looking for people who can innovate, collaborate and drive Red Alpha into the next era of an already rapidly-evolving digital marketplace. You must be willing to live and work full-time in the Columbia, MD area for the duration of the internship Work Hard, Play Hard, Succeed Together! That's Red Alpha. Join Us! What you bring to the table: Now on to the fun of formal requirements - we have to apologize in advance for the corporate-speak here, but just hold your breath for a few lines and everything will be okay. We are actively hiring data professionals for roles across a broad range of skill levels and projects. Our goal is to find the best fit for you so please note that if you apply to one of them and we see a fit elsewhere we will let you know. So do not worry about applying initially for every position you might be interested in. As a Data Science Intern, you will need the following skills: You must be enrolled in an undergraduate or graduate degree program and majoring in Computer Science, Data Science, Computer Systems or a related technical discipline at an accredited higher learning institution. Experience with Python, Java, C++, R, and/or other related programming languages is required. Due to the nature of our work, customers we support and the requirements surrounding our office space, a TS/SCI with Polygraph clearance is required. The total package: Our total compensation package was strategically designed with our members in mind with the intention to: r eward our members for their hard work and commitment to our customers' missions; allow members to share in Red Alpha's success as we continue to grow and expand our footprint; provide long-term career opportunities through stability and internal mobility; and provide the resources our members need to support themselves and their dependents in the form of a robust benefits package. Our total compensation package includes a competitive base salary and benefits such as health, life/ disability, 401k, paid time off, professional development, and generous bonus programs. Full-time members are eligible for our full benefits package, whereas part-time or seasonal members may receive a limited benefits package. Please visit our benefits tab for additional information. Salary Range: Disclosed pay ranges are a general guideline, and are not a guarantee of a final salary or compensation. Our approach in determining final salaries takes into consideration a number of factors such as education, certifications, total years of relevant professional experience, actual level of expertise, and the responsibilities of the role itself. Based on the outlined roles, responsibilities, and requirements, the projected pay range for this position is: $30 - $35/hr Some of our additional perks and benefits include: Retire sooner than planned: Get closer to retirement with up to 10% in 401k contributions, immediately vested. Have a career AND a life: Enjoy up to 5 weeks of leave (25 days of personal time off) and 11 paid floating holidays. Stay at your best: As a member, we'll pay 100% of your premiums for comprehensive health, dental, and vision insurance. We'll also pay the majority of the premiums for your family. Let's not forge free access to a fully equipped state of the art gym! Keep current on new technologies and technological advancements : $5250 per year towards ongoing education, trainings, certifications, and maintaining professional memberships. Dress in style: Spend up to $300 per year on company branded merchandise featuring top quality brands such as Under Armour, Nike, Carhartt, YETI, etc. Enjoy the culture: Attend fun company events throughout the year such as our Oktoberfest, summer picnic, and annual holiday party! These are all in additon to your team events which may include happy hours, baseball games, snowboarding, RenFest, and more! Every day, our elite customers are pushing through "the grind" to defeat the enemy, even putting their lives on the line for our freedom. Rise to the occasion with us to deliver engineering excellence, to match their dedication to this nation. Join us as we bring digital transformation to the fight!

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. 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.

TransUnion's Job Applicant Privacy Notice Personal Information We Collect Your Privacy Choices What We'll Bring: At TransUnion, we strive to build an environment where our associates are in the driver’s seat of their professional development, while having access to help along the way. We encourage everyone to pursue passions and take ownership of their careers. With the support of colleagues and mentors, our associates are given the tools needed to get where they want to go. Regardless of job titles, our associates have the opportunity to learn new things and be a leader every day.Come be a part of our team – you’ll work with great people, pioneering products and cutting-edge technology.This role will act as a key leader of the DSA Product Development team. This role is responsible for providing data science expertise and resources necessary to build market-leading data products and analytic solutions on the Credit Risk Solutions (CRS) and Consumer roadmaps. Maintains a strong vision of the state-of-the-art and competitive landscape, advising on the best way (the “how”) to achieve objectives defined by Global Solutions stakeholders (the “what”). Incorporates innovation arising across GD&A and the broader enterprise into standards that enable consistent, high-quality, scaled development. This role will partner and collaborate with stakeholders across GTDA and Solutions. What You'll Bring: 15+ years’ experience in data science and analytics Masters degree strongly preferred Technical Skills : Advanced programming skills and aptitude; mastery of statistical programs such as R or Python; mastery of other programming and data manipulation languages and big data platforms (SQL, Spark, C/C++, Java); experience with modern cloud computing platforms (AWS, GCP, OneTru); high level of familiarity with Microsoft Office tools. Functional Skills : Evidence of strong analytical, critical, and creative thinking and willingness to take initiative in problem-solving. Demonstrated interest and proven career path in industries served by TransUnion, such as financial services, insurance, fraud, and digital marketing. Ability to lead complex analytic projects under limited supervision and in close coordination with matrix partners. Strong project and time management skills to lead multiple complex portfolios and work streams simultaneously with minimal if any direct supervision in a collaborative and fast-paced environment. This may require the need to make impactful project decisions and recommendations, taking ownership for actions and providing a robust framework for justifying, defending, and documenting such actions across multiple stakeholder levels. Additionally, the role may require the management of multiple resources within a project and the effective coordination of tasks across resources using clear workflows. Behavioral Competencies : Excellent business acumen and versatile interpersonal skills to communicate effectively at multiple levels - including executives - within a complex and dynamic matrix organization. Knows the organization and can flexibility adapt to changes in business objectives or organizational structure. Strong verbal and written communication skills. Proven ability to translate technical concepts into articulate, actionable recommendations in a manner that is suitable to influence business partners and decision-makers inside and outside towards desired outcomes. Impact You'll Make: Develop generic scores, attributes, and other analytic solutions on the CRS and Consumer roadmaps, supporting all stages of the PDLC Design, develop, and continually improve common global frameworks to accelerate product development and facilitate consistent, efficient delivery through OneTru and other TransUnion platforms Proactively analyze alternative data assets and machine learning methods for potential impacts to new and existing products, drafting business cases for Solutions review as warranted Maintain and continually enhance global best practices for model development, including development and delivery of a training curriculum, leveraging new capabilities developed by R&D As a member of the CFLT and related Councils, advocate for innovative solution designs and approaches to enhance TransUnion’s long-term competitiveness Maintain complete and accurate records of department activities to support resource optimization and all levels of reporting Attract and nurture leading data science talent, creating opportunities for continual professional growth #LI-KJ1 Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, Fair Chance Initiative for Hiring Ordinance, and the California Fair Chance Act. Adherence to Company policies, sound judgment and trustworthiness, working safely, communicating respectfully, and safeguarding business operations, confidential and proprietary information, and the Company’s reputation are also essential expectations of this position. This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. Benefits: TransUnion provides flexible benefits including flexible time off for exempt associates, paid time off for non-exempt associates, up to 12 paid holidays per year, health benefits (including medical, dental, and vision plan options and health spending accounts), mental health support, disability benefits, up to 12 weeks of paid parental leave, adoption assistance, fertility planning coverage, legal benefits, long-term care insurance, commuter benefits, tuition reimbursement, charity gift matching, employee stock purchase plan, 401(k) retirement savings with employer match, and access to TransUnion’s Employee Resource Groups. Spousal, domestic partner, and other eligible dependent coverage is available on select health and welfare plans. We are committed to being a place where diversity is not only present, it is embraced. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, genetic information, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law. Additionally, in accordance with Section 503 of the Rehabilitation Act of 1973 and the Vietnam Era Veterans’ Readjustment Assistance Act of 1974, TransUnion takes affirmative action to employ and advance in employment qualified individuals with a disability and protected veterans in all levels of employment and develops annual affirmative action plans. Components of TransUnion’s Affirmative Action Program for individuals with disabilities and protected veterans are available for review to any associate or applicant for employment upon request by contacting ERCoE@transunion.com. Pay Scale Information : The U.S. base salary range for this position is $193,500.00 - $406,500.00 *The salary range for this position reflects a reasonable estimate of the range of compensation for this job. At TransUnion, actual compensation is based on careful consideration of additional factors such as (but not limited to) an individual’s education, training, work experience, job-related skill set, location, and industry knowledge, as well as the scope and responsibilities of the position and market considerations.Regular, fulltime non-sales positions may be eligible to participate in TransUnion’s annual bonus plan. Certain positions may be also eligible for long-term incentives and other payments based on applicable company guidance and plan documents. TransUnion's Internal Job Title: VP, Data Science and Analytics Company: TransUnion LLC

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values – honesty, integrity, loyalty and service – define how we treat each other and our members. Be part of what truly makes us special and impactful. The Opportunity USAA is seeking a talented Director, Decision Science Analytics to lead a team within the Life Company Data and Analytics Team. The Life Company Data and Analytics Team develops exciting and innovative analytical solutions and supports reporting, and artificial intelligence capabilities. This people leader role will lead a team of analysts responsible for Analytics for the Service, Annuity, and Health lines of business. This leader will work closely with our Life Company and other USAA business partners to develop forward-thinking and art-of-the-possible solutions to meet our member and business needs. Additionally, this people leader will ensure that the team continuously advances their data acumen and analytical skills for the future. As a Director, Decision Science Analytics you will lead and develop a highly analytical staff that provides decision support for business areas across the association. By serving as a strategic partner to the business this function will be responsible for applying mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer business objectives and drive change. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position will be based on the San Antonio, TX campus. Relocation assistance is not available for this position. What you'll do: As a strategic partner, leads or collaborates with other analytical leaders in executing the strategic direction of the business using mathematical and statistical techniques and/or innovative/quantitative analytical approaches. Develops team reputation as highly skilled experts in the area of decision science support. Oversees and coordinates analytical tasks which include the evaluation of the business problem, analytical methodology, validation, documentation and presentation of findings and recommendations. Monitors, understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions. Identifies additional resource needs ranging from IT investments, 3rd party support or additional analysts and provides business rationale and justification for additional needs. Understands the business direction, environment and strategies, to set the analytic direction and creates strategy to execute the approach that will influence business and drive change. Leads the effort and/or partners with analytics teams to build USAA core analytics capabilities and processes. Builds and oversees a team of employees for assigned functional area through ongoing execution of recruiting, development, retention, coaching and support, performance management, and managerial activities. Assigns and or Serves as a mentor for mathematical skills and statistical techniques and guides teams to use the appropriate approaches, to drive fact-based decision-making. Maintains and innovates knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems. Researches and pursues the latest and/or industry leading practices in data and analytics, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data) to advance the overall DSA community knowledge. Identifies opportunities to continue to learn in the data and analytics space, whether informal (E.g., Coursera, Udemy, Kaggle, Code Up, etc.) or formal (E.g. Certifications or advanced coursework). Works with IT/CTO partners to advance new data and platforms that correspond to evolving skill sets. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline; OR 4 years of related experience in statistics, mathematics or quantitative analytics (in addition to the minimum years of experience required) may be substituted in lieu of degree. (Total of 12 years of experience without bachelor’s degree) 8 years of experience in a decision support analytic function OR Advanced degree in relevant discipline, 6 years of experience in a decision support analytic function. 3 years of direct team lead or management experience. Demonstrates expert skills in mathematical and statistical techniques and approaches used to influence Business Strategy with fact-based decision-making to all levels of leadership up to senior executive levels. Modernizes knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems. Experience with new and emerging data sets, and incorporation (data wrangling, data munging) into new insights. What sets you apart: US military experience through military service or a military spouse/domestic partner 3 or more years of experience formally leading a team of Decision Science Analysts and Business Intelligence Analysts Working knowledge of Annuity and Health products Knowledge of data and analytical capabilities available across USAA Association Advanced degree in in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline Ability to set and drive a data and analytics strategy that supports business objectives. Experience in addressing the needs of technical and non-technical stakeholders. Compensation range: The salary range for this position is: $164,780 - $296,610 USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on USAAjobs.com. Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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: Scientific/Technology All Job Posting Locations: Cambridge, Massachusetts, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America Job Description: 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 Johnson & Johnson Innovative Medicine is recruiting for a Principal Scientist, Omics- R&D Data Science & Digital Health to focus on Neurodegeneration and/or Neuropsychiatry. This position can be located in either Cambridge, MA; Spring House, PA; San Diego, CA, United States of America; or Beerse, Antwerp, Belgium, and may require approximately 10% domestic and international travel. Please note that this role is available across multiple countries and may be posted under different requisition numbers to align with local requirements.While you are welcome to apply to any or all of the postings, we recommend focusing on the specific country(s) that align with your preferred location(s): USA – Requisition Number: R-052120Belgium- Requisition Number: R-053690 Role Summary Our Neuroscience Data Science & Digital Health (DSDH) team integrates the power of multi-omics, digital health technologies and clinical/real-world evidence (RWE) data to accelerate the delivery of transformational therapies for Neurodegeneration, Neuropsychiatry and Ophthalmology. We drive decision-making and breakthroughs from molecular discovery to clinical trials by partnering along the pipeline to ensure that data science & digital health strategies are embedded in every program. We are seeking a Principal Scientist, Omics to join our DSDH team focused on Neurodegeneration and/or Neuropsychiatry . In this role, you will drive the precision neuroscience strategy by shaping and leading the execution of projects that bring to bear bioinformatics, artificial intelligence and machine learning as needed to link molecular signatures (genetics, gene expression, proteomics) to disease stage and progression, mechanisms of action, and disease endophenotypes. You will be part of a cross-functional team of data science leaders and partner closely with the Neuroscience Therapeutic Area, Quantitative Sciences, and Discovery Product Development and Supply (DPDS). This position offers the opportunity to transform how we understand disease biology, identify novel targets, stratify patients, and deliver better outcomes for people living with neurodegenerative and neuropsychiatric disorders. Key Responsibilities Shape the strategy and implement projects for data-driven identification and evaluation of novel therapeutic targets, patient stratification approaches and precision biomarkers from the perspective of omics data, brain biology, and mechanism of action, drawing upon a combination of internal and external resources. Work in multi-disciplinary teams, composed of discovery scientists, clinicians, computational biologists and biomarker experts to develop precision neuroscience plans across the Neurodegeneration and Neuropsychiatry portfolio, being forward looking and foreseeing a path to launch. Remain current on the constantly evolving landscape of neuroscience, neuropsychiatry, and neurodegeneration, omics, bioinformatics and AI/ML research in search of better strategies for accelerating and prioritizing our portfolio based on biological insights. Build strong relationships with internal partners and key academic collaborators, technology providers, and consortia to position the company at the forefront of data-driven neuroscience. Qualifications PhD in neuroscience, computational biology, bioengineering, biostatistics, or a related field is required. 3+ years of progressive industry or academic experience in applying data-driven methods in the context of target discovery and validation, translational science and patient stratification is required. Extensive background working hands-on deriving insights from high-dimensional molecular data – particularly genetic, RNAseq, proteomics and/or single-cell data is required. Proficiency in R, Python, or similar programming languages is required. Proven track record of scientific contributions in this field with first author publications in high-impact journals is required. Experience translating data into strategies and executable action plans is required. Ability to clearly communicate technical work to a diverse audience is required. Background and experience working in Neurodegeneration and/or Neuropsychiatry is strongly preferred. Experience working with and leading interdisciplinary teams through either people or project leadership is preferred. Familiarity with machine learning and innovative AI methodologies is preferred. Strong reputation for driving novel solutions to problems and providing strategic advice is preferred. Familiarity with clinical development processes is preferred. Up to approximately 10% yearly travel is required (International, Domestic) This position currently has the option to follow a hybrid schedule of 3 days per week working on-site and 2 days per week working remotely (no fully remote option available) and can be located in one of our office locations in either Cambridge, MA, Spring House, PA, or San Diego, CA, United States of America; or Beerse, Antwerp, Belgium, and may require approximately 10% travel domestic and international. 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 & 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 contact us via https://www.jnj.com/contact-us/careers or internal employees contact AskGS to be directed to your accommodation resource. The anticipated base pay range for this position in the US is $117,000 to $201,250. The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation’s performance over a calendar/performance year. Bonuses are awarded at the Company’s discretion on an individual basis. 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)). 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 Holiday pay, including Floating Holidays – up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market.#LI-SL#JNJDataScience#JNJIMRND-DS#JRDDS#LI-Hybrid Required Skills: Preferred Skills: Advanced Analytics, Coaching, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Organizing, Process Improvements, Strategic Thinking, Technical Credibility, Workflow Analysis

About Ovative Group: Ovative Group is an independent, full-funnel media, measurement, and creative firm. Leveraging our deep industry expertise, we help brands like Best Buy, Domino's, American Eagle, The Home Depot, Post, Disney, Tumi, Michael Kors, Boost Mobile, and UnitedHealth Group transform their media and measurement programs. The result? Profitable growth that speaks for itself. About the Role: T he Data En gineer role on the Marketing Science and Offerings (MSO) Team is an opportunity to take your next career step at a fast-growing company with the highest standards for talent, fun, and client success. The MSO team supports direct consultative work for clients and acts as the internal proving ground for pre-product ideas. This role blends hands-on data engineering and lightweight applied data science to enable high-quality data foundations and advanced analytics. In this role , y ou will focus on: Enabling external data source acces s at scale (e.g., buildin g and hardening API integrations with exte rnal p artne rs like Google and Amazon ) to power analytics, modeling, and reporting. Expanding learning and usage of partner clean rooms (e.g., Amazon Marketing Cloud and Meta clean rooms) in order to enable experiment ation and measurement. Contribu ting t o Joint Technical Plans (JTPs) with partners and clients, aligning on technica l approaches , deliverables, and milestones that advance Ovative’ s measurement and optimization capabilities. You will work with in a cross -functional team responsible for creating, opti miz ing , and maintaining generalizable, repeatable, and scalable data solutions. You wil l collaborate closely with b usiness s takeholders and a seasoned team of reporting analysts, data scientists and engineers throughout the data lifecycle —from ingestion through data modeling and feature engineering — in order to build ana l ytics -ready data sets . The team navigates ambiguity, asks lots of questions, learns, and executes quickly in a supportive, collaborative environment. Responsibilities of a Data Engineer - Marketing Science and Offerings: Serve as a technical contributor on a high-performance data engineering, science, and advanced analytics team, owning scope d workstreams and delivering executional excellence. Design, build, test, and deploy reliable data pipelines integrating external sources, with emphasis on APIs (e.g., authentication, pagination, rate-limit handling, backfills, schema evolution, and monitoring/alerting). Expand Ovative’s use of partner clean rooms ( e.g. Amazon Marketing Clou d, Meta cl ean ro oms): activ ate, author and optimize SQL queries , design experiments and measurement analyses, and operationalize repeatable templates. Lead or assist in the discovery of advertising data, mapping sources/structures to enable measurement-related reporting, analytics, and modeling . Identify automation opportunities across ingestion, transformations (e.g., dbt ), QA, and delivery to improve reliability, speed, and cost efficiency. Contribute to Joint Technical Plans (JTPs) with partners and clients: define technical approaches, sequence milestone s, do cument assumptions/risks, and build PoCs that unlock new Ovative o fferings. Provide technical assistance to teammates and help raise the collective expertise in APIs, clean rooms, and analytical data engineering. Follow software, security, and product engineering best practices: version control, CI/CD, code reviews, reproducibility, documentation, and testing. Explore new technologies and tools—aligned with security, enterprise architecture, and data platform guidance—to enhance marketing data solutions. Requirements : 3+ years of relevant data engineering development experience, ideally in analytics- or modeling-heavy environments. Proficiency with ETL/ELT for large data sets and building resilient API integrations. Strong SQL and Python skills; comfort with command line and working in modern data stack workflows. Preferred : Experience with cloud-based platforms (e.g., GCP, AWS, or Azure); data warehouses and big data tools (e.g., BigQuery , Databricks); and pipeline/orchestration tools (e.g., dbt , Dagster , or Airflow). Hands-on experience with advertising data platforms (e.g., Amazon Ads/AMC data exports, Google Ads API, Google Analytics Data API) and /or tools for connector management. Practical experience using partner clean rooms—especially Amazon Marketing Cloud and Meta clean rooms—including SQL development, privacy-safe joins, experiment design, audience/overlap analysis, and templating/automation. Experience contributing to Joint Technical Plans (JTPs) or similar partner/client technical roadmaps, with an ability to scope PoCs and scale pilots into production solutions. Experience creating data/table architectures for analytics and modeling (dimensional designs, feature stores, slowly changing dimensions, partitioning/clustering). Experience implementing QA processes and automation (e.g., dbt tests, Great Expectations, anomaly detection/monitoring). Familiarity integrating data models within software products and measurement platforms; understanding of marketing, analytics, and customer data domains. Familiarity with agile tooling and collaboration (JIRA, Confluence) and with code versioning (GitHub). Pay Transparency At Ovative , we offer a transparent view into three core components of your total compensation package: Base Salary, Annual Bonus, and Benefits. The salary range for this position below is inclusive of an annual bonus. Actual offers are made with consideration for relevant experience and anticipated impact. Additional benefits information is provided below. For our Data Engineer positions, our compensation ranges from $75 ,000 to $ 93 ,000, which is inclusive of a 15 % bonus. Benefits of Working at Ovative Group : We provide strong, competitive, holistic benefits that understand the importance of your life inside and out of work. Culture: Culture matters and we’ve been recognized as a Top Workplace for ten years running because of it. We demand trust and transparency from each other. We believe in doing the hard and complicated work others put off. We’re open in communication and floor plan. We’re flat – our interns sit next to VPs, our analysts work closely with senior leaders, and our CEO interacts with every single person daily. Put together, these elements help foster an environment where smart people can support each other in performing to their highest potential. Ovative is committed to fostering an inclusive environment where everyone can participate and thrive. We do not tolerate discrimination of any kind, including on the basis of race, sexual orientation, gender identity, or gender expression. Our policies reflect this commitment—for example, our medical leave benefits are inclusive of same-sex partners, ensuring equitable care and support for all families. Compensation and Insurance: We strive to hire and retain the best talent. Paying fair, competitive compensation, with a large bonus incentive, and phenomenal health insurance is an important part of this mix. We’re rewarded fairly and when the company performs well, we all benefit. Tangible amenities we enjoy: Access to all office spaces in MSP, NYC, and CHI Frequent, paid travel to our Minneapolis headquarters for company events, team events, and in-person collaboration with teams Flexible paid vacation policy 401k match program Top-notch health insurance options, inclusive of same sex partners Family formation benefits including reimbursement options for fertility, pregnancy, and parenting needs Monthly stipend for your mobile phone and data plan Sabbatical program Charitable giving via our time and a financial match program Shenanigan’s Day Working at Ovative won’t be easy, but if you like getting your hands dirty, driving results, and being surrounded by the best talent, it’ll be the most rewarding job you’ll ever have. If you think you can make us better, we want to hear from you!

Job Description Who We Are Horizon Media , founded in 1989 by Bill Koenigsberg, is recognized as one of the most innovative marketing and advertising firms. We are headquartered in New York City, with offices in Los Angeles and Toronto. A leader in driving business solutions for marketers, Horizon is known for its highly personal approach to client service. Renowned for its incredible culture, Horizon is consistently named to all the prestigious annual Best Places to Work lists published by Fortune, AdAge, Crain’s New York Business and Los Angeles Business Journal. Together we are building a place of belonging.At Horizon, we understand the value that different perspectives can bring to our clients and culture, so we strive for an environment where our employees feel welcomed, safe and empowered. We value YOU and believe that your authentic voice and unique perspective allows us to create a more rewarding culture, and experience, together. Our simple recipe for success? We hire talented people (thinkers, doers, dreamers, makers), challenge them and give them every opportunity to grow. What Is blu. blu. is Horizon’s omni-marketing capability that is powered by a Connected Marketing Platform, built in-house from the ground up. The foundation of this platform is an Identity Framework built upon our relationship with TransUnion, whose PII data acts as our identity spine. By integrating with agency partners who have deterministic data assets we have licensed and attached 11K+ attributes to bridge the gap between martech and adtech to deliver a true 360 consumer view. This enables brands to engage customers and prospects across all journeys. Our portfolio of solutions and products are designed to complement a clients’ existing tech. Proprietary insights tools enhance profiles with psychographic attributes and custom models identify and assign propensity against audiences based on KPIs. We have a central, connected, user-friendly platform for insight development, audience creation and activation. Our Solutions & Services are built on top of the Connected Marketing Platform offering bespoke capabilities across business strategy, planning, activation, measurement and optimization. Job Summary The Associate, Marketing Science’s main responsibility is to use advanced statistics and data science techniques to build qualified audiences for our client’s campaigns. This person will apply sophisticated data science, modeling, and other advanced analytics techniques to help guide our clients’ audience strategy to make their media campaigns resonate better and be more effective. Using data, ML, and the blu. Platform, the blu Marketing Sciences group brings to life the most qualified audiences for our clients addressable campaigns. These results and deliverables are a contributor and often “proof of concept” to Product enhancement and future capabilities. In addition to the technical aspects required, it will involve cultivating and maintaining effective working relationships with a variety of Agency groups. They must be intellectually curious with the drive and experience to identify, frame and solve business problems. They must be a critical thinker who can provide creative strategic solutions and who can follow-through with flawless execution. Highly driven with an exceptional work ethic, determination to overcome complex challenges, and a desire to have huge impact on the business. Responsibilities 30% Solutions Design & Innovation Ability to understand and leverage blu. structured and unstructured data Ability to build end-to-end data science solutions for a non-data science audience Ability to generate clear, concise and comprehensive analyses that tell the story behind the data! Data transformation/mining and generation of insights to explain audience performance and inform optimization Data join process between blu audiences, media exposure and conversion events to build feedback loops Analysis of audience conversion to KPIs Increasingly utilize AI solutions to inform and expedite some or all of the required analysis 60% Technical & Analytical Excellence Audience Development Machine Learning, Data Mining with Machine Learning with large datasets of Structured and Unstructured data. Data Validation, Predictive modeling, data visualization techniques. NLP for sentiment analysis Mathematical and Statistical libraries in Python and/or R Experience in importing/exporting data for relational databases Measurement Time series Bayesian analysis Causal Inference Familiarity with relational databases Solid understanding of data technology integrations across data sources and ecosystems, and ability to troubleshoot. Knowledge of the data dictionaries and taxonomies of structured data sets Cluster & Factor analysis Ability to perform advanced data visualization 10% Product Innovation & Management Become a power user to drive continuing improvement in the analysis and results supported by AI and the custom solutions built on top and around those Experience working with and/or managing teams in product development Consider design principles that scale and can be repeatable and/or extensible to other clients or industries Participate in Product release management processes, including all levels of testing (Alph, Beta, QA, UAT) Propose features, models, queries and requests and often “proof of concepts" for Product enhancement and future capabilities Qualifications BS/BA degree in Computer Science, Statistics, Applied Mathematics, or a related field required. 0-2 years relevant experience, preferably in a media, marketing or digital advertising environment. Working knowledge of Big and basic data mining routines a must. Expert knowledge in an analytic and programming language such as Python, R, or a similar language Working knowledge of Predictive and Machine Learning a plus. Persistence: Demonstrate t enacity and willingness to go the distance t o get new things done. Ability to work in a fast paced, multiple project environment on an independent basis and with minimal supervision. A team player who can work collaboratively within the group and across business units/functions. Strong verbal communication skills, extremely well-organized. Business acumen – understands the strategic levers of the business and how analytics is a catalyst for decision making. #LI-KG1 #LI-HYBRID #HM Horizon Media is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Salary Range $100,000.00 - $120,000.00 A successful applicant’s actual base salary may vary based on factors such as individual’s skill sets, experience, training, education, licensure/certifications, and qualifications for the role. As an organization, we take an aptitude and competency-based hiring approach. We provide a competitive total rewards package including a discretionary bonus and a variety of benefits including health insurance coverage, life and disability insurance, retirement savings plans, company paid holidays and unlimited paid time off (PTO), mental health and wellness resources, pet insurance, childcare resources, identity theft insurance, fertility assistance programs, and fitness reimbursement.

At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to patients, their families, and caregivers is Eisai’s human health care (hhc) mission. We’re a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. Our history includes the development of many innovative medicines, notably the discovery of the world's most widely-used treatment for Alzheimer’s disease. As we continue to expand, we are seeking highly-motivated individuals who want to work in a fast-paced environment and make a difference.If this is your profile, we want to hear from you. Designs, plans and executes biostatistical components of plans for research and development projects that establish the conditions essential for determining safety, efficacy, and marketability of pharmaceutical and/or biological products. Uses sound statistical methodology to conduct studies relating to the life cycle of the product. In development-phase projects, prepares the statistical component of protocols which meet project objectives, health authority guidelines, and clinical trial methodology standards. Develops and/or applies statistical theories, methods, and software. Summarizes and interprets data into tabular and graphical formats amenable to principles of statistical inference and is responsible for the statistical component of reports describing studies, outcomes and methods used. Provide specifications and directions to the clinicians/statistical programmers. Supports the regulatory review and approval of the experimental therapies. May partner in trial design and in establishing standards for clinical conduct, and the collection, management and/or reporting of data. Job Description Summary We are seeking a visionary leader to shape and drive Clinical Data Science strategy across our global clinical development portfolio. This role ensures the rigorous application of statistical principles and advanced data science methodologies to optimize clinical trial efficiency and accelerate innovation. The Executive Director will spearhead the integration of AI/ML solutions for applications in disease diagnosis, modeling, imaging, genomics, proteomics, and precision medicine. Acting as the primary data science representative to global regulatory authorities, this individual will defend strategies and influence industry standards. Strategic Leadership: Define and execute Clinical Data Science strategies for clinical studies and development plans across the portfolio. Serve as the primary spokesperson for Data Science at Health Authority meetings, leading preparation of responses and influencing regulatory perspectives. Innovation & Execution Drive adoption of cutting-edge AI/ML methodologies for disease modeling, biomarker analysis, and precision medicine. Oversee multiple large-scale, critical data science initiatives, ensuring timely, high-quality deliverables aligned with industry best practices. Risk Management & Problem Solving Evaluate analytical options, proactively identify risks, and develop novel solutions to complex challenges. Thought Leadership & External Engagement Represent the organization at technical seminars and conferences; build networks with industry experts to advance best practices. Team Leadership & Development Manage and mentor a diverse team of data scientists and people managers across geographies. Foster career growth through open dialogue, performance management, and strategic development planning. Operational Excellence Ensure GxP compliance in data science programming for clinical trials. Manage budgets, vendor relationships, and third-party deliverables to maintain quality and efficiency. Executive Communication Deliver clear, compelling communication of complex data science concepts to internal and external stakeholders with executive presence. Qualifications Ph.D. in Biostatistics or a Master's Degree in Biostatistics in combination with a Ph.D.in Bioinformatics or related computational sciences. Deep expertise in statistical methods and their application in clinical trials. Minimum 10 years of industry experience in clinical development, including Data Science and Biostatistics. Recognized thought leader in at least one data science discipline (e.g., AI/ML modeling, precision medicine). Proven experience presenting at external forums and influencing regulatory authorities. Strong people leadership experience in a Data Science setting. Prior research experience in neurology, particularly Alzheimer’s disease biomarkers (plasma, CSF, imaging), strongly preferred. Eisai Salary Transparency Language: The annual base salary range for the Executive Director, Clinical Data Science is from :$283,200-$371,700Under current guidelines, this position is eligible to participate in : Eisai Inc. Annual Incentive Plan & Eisai Inc. Long Term Incentive Plan. Final pay determinations will depend on various factors including but not limited to experience level, education, knowledge, and skills. Employees are eligible to participate in Company employee benefit programs. For additional information on Company employee benefits programs, visit https://careers.eisai.com/us/en/compensation-and-benefits . Certain other benefits may be available for this position, please discuss any questions with your recruiter. Eisai is an equal opportunity employer and as such, is committed in policy and in practice to recruit, hire, train, and promote in all job qualifications without regard to race, color, religion, gender, age, national origin, citizenship status, marital status, sexual orientation, gender identity, disability or veteran status.Similarly, considering the need for reasonable accommodations, Eisai prohibits discrimination against persons because of disability, including disabled veterans. Eisai Inc. participates in E-Verify. E-Verify is an Internet based system operated by the Department of Homeland Security in partnership with the Social Security Administration that allows participating employers to electronically verify the employment eligibility of all new hires in the United States. Please click on the following link for more information: Right To Work E-Verify Participation