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AssistRx is a specialty pharmacy hub services company that manages therapy initiation and patient access programs for pharmaceutical manufacturers. The company's flagship platform, iAssist, integrates at the point of prescribing and connects patients, providers, payors, and manufacturers across complex specialty therapy programs. Welsh, Carson, Anderson & Stowe acquired AssistRx in February 2024, and the company has grown significantly, supporting a broad portfolio of programs across therapeutic areas including oncology, immunology, rare disease, and obesity. POSITION SUMMARY The Data Scientist, ITA will be a primary analytical contributor within a small, high-performance team. Working directly alongside the Director / VP and two peer Data Scientists, this individual will own the design and execution of analytical models, generate program insights across key KPI families, and help build the client-facing outputs — pilot QBR materials, trend narratives, analytical summaries, prototype of insight-focused dashboarding — that define the ITA value proposition. The role requires a combination of technical depth in SQL and Python, working familiarity with statistical methods applicable to program performance analysis, and an orientation toward clear, audience-appropriate communication. Experience in pharma, pharma consulting, at a health insurer, or at a PBM is required: this work depends on understanding how specialty programs function, how manufacturers define success, and how data from hub operations connects to the broader access and reimbursement landscape. KEY RESPONSIBILITIES Analytical Execution • Design and execute ad hoc and recurring analyses for ITA client engagements, covering six defined families of KPIs, • Build and maintain analytical models within the six KPI families — from patient outcomes through data quality — ensuring consistent definitions, reproducible methodology, and appropriate statistical rigor, • Develop cohort analyses, funnel decompositions, survival curves, regression models, and distribution-based performance metrics that surface actionable insights within program data, • Identify trends, anomalies, and comparative performance differentials across programs, payors, geographies, and time periods; frame findings as hypotheses with supporting evidence Client-Facing Output Development • Contribute to quarterly business review (QBR) preparation, including data pulls, visualization development, and narrative drafting under the direction of the Director / VP, • Produce clean, client-ready analytical exhibits — charts, tables, and written summaries — formatted for manufacturer audiences including market access leadership and patient services teams, • Participate in select client meetings as a technical resource; communicate methodology and findings clearly to non-technical stakeholders Productization & Documentation • Define analytical specifications and prototype outputs for validated insights; partner with the dedicated BI and report development team to translate ITA analytical work into productized ThoughtSpot and Power BI dashboards — ITA owns the logic, acceptance criteria, and narrative framing; the report development team handles production build, • Maintain clear documentation of analytical methodologies, data transformations, and code to support reproducibility and team knowledge management, • Surface upstream data quality issues that affect insight reliability; partner with data governance teams on remediation Continuous Improvement • Contribute to the evolution of the ITA analytical framework as new client engagements reveal novel questions and additional KPI families emerge, • Stay current on emerging methods in healthcare analytics, specialty pharmacy data, and applied machine learning relevant to program performance and patient journey analysis REQUIRED QUALIFICATIONS • Approximately 5 years of experience in healthcare analytics, with direct experience in one or more of the following: pharmaceutical manufacturer (commercial, market access, or patient services analytics), pharma consulting, health insurer, or pharmacy benefit manager (PBM), • Strong proficiency in SQL; experience querying and manipulating data in cloud data warehouse environments (Snowflake preferred), • Python or R required; Python preferred (pandas, numpy, scipy, and scikit-learn), • Working knowledge of statistical methods applicable to program performance analysis: cohort analysis, survival analysis, funnel decomposition, regression modeling, distribution-based metrics, and experimental design and A/B testing frameworks, • Experience producing structured, audience-ready analytical outputs — not just raw analyses; strong attention to how findings are communicated, not just computed, • Clear, organized written and verbal communication skills; ability to explain quantitative findings in plain language, • Bachelor's degree in a quantitative field (statistics, mathematics, data science, computer science, economics, or related); advanced degree a plus PREFERRED QUALIFICATIONS • Familiarity with pharmaceutical hub program workflows, including case management, prior authorization, benefits verification, payor adjudication, and patient financial assistance programs, • Experience working with specialty pharmacy data structures and source systems (CRM, pharmacy dispensing platforms, benefits verification systems), • Background in patient access or market access analytics at a pharmaceutical manufacturer, including program KPI development and payor-level performance analysis, • Analytical experience at a health insurer or PBM, particularly in formulary analytics, specialty drug utilization, or patient access reporting, • Experience with ThoughtSpot or Power BI preferred, • Exposure to or curiosity about generative AI and its applications in analytics workflows (natural language querying, entity resolution, or automated insight generation), • Experience contributing to a client-facing analytics product or repeatable analytical framework, • Familiarity with dbt or similar data transformation frameworks

Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more.

A Lead Data Scientist is responsible for designing and implementing data-driven solutions to complex business problems. The role requires extensive experience in data analysis, agentic ai, statistical modeling, machine learning, and data visualization, as well as the ability to lead a team of data s

Glocomms is seeking a talented Data Scientist specializing in Computer Vision to join our dynamic team in San Francisco County, CA.In this pivotal role, you will leverage advanced algorithms and machine learning techniques to transform visual data into actionable insights, driving innovation and enh

Job Title: Data Scientist Duration: 6 Months to hire Location: Newark, NJ Job description: As a Data Scientist supporting U.S. Businesses (USB) Service, Data and Technology organization, you will partner with our diverse team of Engineers, Economists, Computer Scientists, Mathematicians, Physicists, Statisticians and Actuaries tasked with mining our industry-leading internal data to design, build, and deploy production-grade AI capabilities for our businesses. The role requires a rare combination of sophisticated AI engineering expertise; business acumen; strategic mindset; client relationship skills, problem solving; and a passion for generating business impact. This is an exciting opportunity to be a part of a strategic initiative that is evolving and growing over time! In addition to applied experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership demeanor and a continuous learning focus to all that you do. This role is based in our office in Newark, NJ. Our organization follows a hybrid work structure where employees can work remotely and from the office, as needed, based on demands of specific tasks or personal work preferences. This position is hybrid and requires your on-site presence on a reoccurring weekly basis at least 3 days per week. Here is what you can expect in a typical day: • Responsible for the hands-on design and development of production-grade GenAI and Agentic solutions comprising the portfolio developed by the Data Science Lead and the technical requirements specified. Perform hands-on context engineering, agent design, model integration, and end-to-end AI system development., • Design and build AI agent harnesses, orchestration frameworks, and context engineering pipelines; develop and integrate Model Context Protocol (MCP) servers to expose tools, data sources, and enterprise APIs to AI agents in a standardized, secure manner; and implement Agent-to-Agent (A2A) communication patterns and multi-agent architectures to solve complex, multi-step business problems., • Write production-level code and partner with machine learning engineers and platform teams to deliver AI solutions from development through production following the full AI lifecycle., • Continuously research new methods for problem solution, including new algorithms, agentic frameworks, context management techniques, and AI application patterns., • Partner with machine learning engineers to productionize AI solutions. Partner with data engineers to build data pipelines. Partner with software engineers to integrate solutions with business platforms. The Skills and expertise you bring: • Advanced degree (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines, • Working on complex problems in which analysis of situations or data requires an in-depth evaluation of various factors. Exercises judgment within broadly defined practices and policies in selecting methods, techniques and evaluation criteria for obtaining results., • Ability to learn new skills and knowledge on an ongoing basis through self-initiative and seeking challenges, • Excellent problem solving, communication and collaboration skills Applied experience with several of the following: • AI Engineering & Production AI Lifecycle: Ability to design, build, and deliver AI systems end-to-end in a production environment. Deep understanding of the AI lifecycle — from problem framing and data preparation through model development, evaluation, deployment, monitoring, and continuous improvement. Experience with CI/CD for AI, model versioning, observability, and responsible AI practices., • Generative AI, Agentic & Context Engineering: Expertise in modern Generative AI and NLP technologies including LLMs, RAG, LangChain, LangGraph, vector databases, etc. Skilled in context engineering — prompt engineering, dynamic context construction, context window management, and structured output design. Experience building AI agent harnesses and orchestration frameworks including scaffolding, tool registries, and evaluation loops. Hands-on experience designing MCP servers to expose enterprise tools and APIs to AI agents, and implementing Agent-to-Agent (A2A) communication patterns and multi-agent architectures to solve complex, multi-step business problems., • Machine Learning: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models, • Data Acquisition and Transformation: Acquiring data from disparate data sources using API's and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python., • Database Management System: Knowledge of how databases are structured and function in order to use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc., • Data Wrangling: Preparing data for further analysis; Redefining and mapping raw data to generate insights; Processing of large datasets (structured, unstructured)., • AWS DevOps: Experience in the project development life cycle in an AWS environment. Familiar with development, QA, staging and production deployment stages., • Programming Languages: Python, SQL

Staff Finance Data Scientist, Consumption Forecasting Location: San Francisco or New York | Hybrid (3 days per week in office) Salary: $240-300k base + bonus + equity (RSUs) This is a rare chance to own forecasting infrastructure at the center of a high-growth, consumption-based developer platform, one that powers some of the world's most dynamic applications and scales with every developer and enterprise building on it. As a consumption-based business, forecasting usage across compute, bandwidth, edge, and storage isn't a support function. It's foundational to how we plan infrastructure, revenue, and long-term strategy. This role exists to lead that work at the highest level. What you'll own This is a senior individual contributor role with organization-wide impact. You'll define forecasting methodology, build systems that scale with a rapidly growing platform, and sit at the intersection of Finance, Infrastructure, Product, and GTM with direct visibility to executive leadership. • Own production revenue forecasting end-to-end: model development, backtesting, deployment, monitoring, and iteration from first principles to live system, • Build forecasting systems that account for usage-based pricing dynamics, consumption patterns, and customer lifecycle across the platform, built for how this business actually works, not retrofitted SaaS models, • Design hierarchical forecasting models across account, cohort, segment, and global aggregate levels, covering operational, quarterly, and long-range planning cycles, • Build scenario simulation frameworks to evaluate pricing changes, packaging adjustments, and product launches, • Partner with Finance on board-level reporting, with Infrastructure Engineering on capacity planning, and with Product and GTM on adoption curves and usage drivers What we're looking for • 7+ years in data science, quantitative analytics, or applied statistics at senior or staff level, • Deep expertise in time-series forecasting and statistical modelling in a usage-based or SaaS environment, • Proven track record building and productionizing ML systems at scale, • Strong Python and SQL, with experience on large-scale usage and billing datasets, • Familiarity with probabilistic modelling, hierarchical forecasting, and causal inference, • Experience partnering with Finance or executive leadership on planning cycles, • Comfortable operating autonomously in fast-moving, ambiguous environments Nice to have • Background in cloud infrastructure, developer tools, or consumption-based revenue models, • Familiarity with modern data stacks: Snowflake, Delta Lake, dbt, Airflow, • Prior technical mentorship or informal leadership experience

Account Executive Location: New York City, SoHo (Fully In-Person) About Besty AI Besty AI is the leading AI-native operating system for the $1T+ short‑term‑rental and hotel industry. We're a venture-backed seed stage startup backed by Ridge Ventures, Grand Ventures, and Bungalow Capital. We've raised over $6M from the heads of the Stanford & Berkeley AI labs and investors behind Discord, Fastly, Hugging Face, Covariant, and Replicate. Besty was founded by a property manager who scaled from 0 to 30 listings in under 10 months, an AI scientist from Yale, and an all-star team of software engineers obsessed with shipping a product loved by hundreds of paying hosts. We're proud to serve 10,000+ properties worldwide with practical AI applications to make their daily lives easier. We're looking for one of our first founding Account Executives to help build the GTM process and grow from seed to Series A and beyond, backed by world-class investors in travel, AI, and SaaS. Working directly with Besty's Head of Sales and hiring manager, Edward Shorter: https://www.linkedin.com/in/edward-shorter-004a09181/ What's in it for you? • Equity, competitive salary, and commission, • Growth opportunity into a leadership role, • Travel opportunities to global conferences to represent Besty, • Join an elite sales team in a high-growth environment, • Be part of a fast-growing startup (we've doubled in the last 6 months and are among the top quartile of the fastest growing startups on ChartMogul based on 3,000+ companies' Stripe subscription data), • High-energy team, great culture, and an opportunity to be an early hire in a company scaling fast About the Role As a founding Account Executive at Besty, you'll own the entire sales cycle from pipeline generation and qualification through demo, negotiation, closing, and expansion. This is a full-cycle role where you'll define and iterate our sales motion, shape the playbook future hires will run, and feed customer insights directly into product and engineering. • Own the full sales cycle from prospecting through close and renewal, • Generate pipeline from ICP accounts via value-driven outbounding - cold calls, emails, LinkedIn, and multi-threaded campaigns, • Run discovery, lead product demos, navigate procurement, and negotiate commercial terms, • Build the GTM playbook alongside the Head of Sales - sequences, scripts, ICP definition, objection handling, and pricing, • Foster strong relationships with key stakeholders to drive positive ROI and net-revenue retention, • Hit and exceed quarterly and annual revenue targets What we're looking for • SaaS sales experience, ideally at a high-growth startup, with a track record of consistently beating quota, • Highly motivated individuals with ambition to grow into a leadership role quickly, • Proficiency in multiple languages is a plus, • Experience in the short-term rental or hospitality space is a bonus but not required Personal Characteristics • Entrepreneurial with a high level of energy, dedication, and an unrelenting drive to succeed and win This is a sales job. Don't just apply to the role... send a personal message, follow up, use a multi-threaded approach. Stand out.

As the first Unified Growth Platform, Thirdwave empowers blockchain projects with the analytics and insights to understand their customers and the actions that accelerate their growth.We deliver the key infrastructure and tools to enable projects to control their destiny.We connect people to the pro

We are seeking a Data Scientist with relevant DFS or Sportsbook experience to help support our risk and trading function.

As a Senior Data Scientist at Shopmonkey, you will be a part of a globally distributed team working closely with your product and engineering counterparts.We are looking for a generalist who thrives across the full project lifecycle — from statistical modeling and data analysis to experimentation

Entefy’s Senior Data Scientist is a highly visible position both internally and externally. Experience leading the work of other data scientists or analysts is preferred.

We solve challenging problems and boost business growth through.Develop a deep understanding of customer journey phases and key business metrics.Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments.Inform future experimentation

Learning budget of £1,000 a year for books, training courses and conferences.

SIXGEN’s mission is to deliver agile, mission-ready cybersecurity solutions that empower government and critical infrastructure organizations to stay ahead of advanced cyber threats.We combine innovation, deep expertise, and cutting-edge capabilities to uncover vulnerabilities, protect vital syste

The Healthcare Map serves as our foundation for a powerful suite of software applications, helping us answer healthcare’s most complex questions for our partners. Developed a deep understanding of healthcare claims data. Experience working with a large anonymized patient level healthcare databases

Figma is growing our team of passionate people on a mission to make design accessible to all.Figma helps entire product teams.Whether it’s consolidating tools, simplifying workflows, or collaborating across teams and time zones, Figma makes the design process faster, more efficient, and fun while

Prominence Advisors is actively seeking a.Prominence is a healthcare and life sciences technology and consulting firm dedicated to helping leading organizations do more with their data.With deep expertise across the full ecosystem — spanning providers, payers, and life sciences — we turn complex

Bachelor’s or Master’s degree in Data Science, Statistics, Economics, Computer Science, or a related quantitative field.

The role will apply statistical programming, modeling, visualization techniques, data mining, and forecasting skills to analyze challenging public sector problems.Analytica has been recognized by Inc.We offer competitive compensation with opportunities for bonuses, employer paid health care, trainin

VHA supports and provides medical care for VA’s eligible beneficiaries through the VA health program, which includes VA Medical Centers (VAMCs) and contracted health care networks.The Office of Clinical Informatics within the Office of Health Informatics (OHI), Digital Health Office (DHO) advances

Manage data scientist and data specialist team.Identify the efficient source for quality data collection,.Lead data collection and data mining processes.Ensure and guarantee data integrity.Analyze data and interpret data problems.Plan project, prioritize and streamline all planned data projects.Deve

We empower regional and independent grocers to compete in a digital-first world by providing best-in-class app, web, loyalty, and e-commerce solutions—without SaaS fees.Instead, Swiftly drives revenue through its retail media network, sharing profits with retailer partners.With 70+ retailer banner

Senior Data Scientist - VLM (LATAM).

We are seeking a highly experienced and driven Senior Machine Learning Data Scientist to join our Women's Health team. Drive the commercialization of machine learning models and algorithms, collaborating closely with cross-functional teams including scientists, product managers, software developers,

Knowledge of large networks, telecom systems, and expertise in applying data science to interpret complex data sets.

Reddit is a community of communities.It’s built on shared interests, passion, and trust and is home to the most open and authentic conversations on the internet.Every day, Reddit users submit, vote, and comment on the topics they care most about.With 100,000+ active communities and approximately 1

Minimum 3+ years experience as a Data Analyst, Data Scientist, Analytics Engineer or similar technical role.

GoodAtNumbers is building an always-on decision intelligence platform that is trying to replace what a data scientist, data analyst and a business analyst does.We are hiring a strong software engineering intern to help turn that architecture into polished, reliable product experiences.We are hiring

Extend is revolutionizing the post-purchase experience for retailers and their customers by providing merchants with AI-driven solutions that enhance customer satisfaction and drive revenue growth.Our comprehensive platform offers automated customer service handling, seamless returns/exchange manage

Founded in 2015, the company is one of the fastest growing companies in SaaS, raising approximately $250 million to date and valued at $1.B2B contacts and 35 million companies worldwide, along with tools to engage and convert these contacts in one unified platform.By helping revenue professionals fi

Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts.The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day.We hir

Data Scientist – Machine Learning & Predictive Analytics. We’re expanding our data capabilities and seeking a Data Scientist to design and deliver machine learning solutions that drive measurable business impact.

Every company needs supplies and services to operate.From laptops and rental cars to pens and pallets, all companies have procurement needs.That’s where CoreTrust comes in.CoreTrust provides a B2B marketplace that has transformed how companies buy billions of dollars’ worth of supplies and servi

How many times do you get the opportunity to be on the ground floor of a big and important mission? What if you could be one of the top contributors defining the mission, guiding our teams, and influencing the direction of Dropbox’s AI-first journey? As a Senior Data Scientist for this new divisio

Job title: Experienced Policy Data Scientist Consultant. The growing team of DSU data scientists have diversified academic backgrounds but a shared passion for developing data science applications to improve policymaking.

Understanding of key concepts of the healthcare industry required. Prior healthcare experience (broadly defined) very strongly preferred. Data Scientist, Analyst, or similar role, with demonstrated ability to solve complex data challenges.

Entefy’s Senior Data Scientist is a highly visible position both internally and externally. Experience leading the work of other data scientists or analysts is preferred.

Shine Associates, LLC has been retained to search, identify and recruit a Data Scientist on behalf of our client (‘Company’).Shine Associates, LLC has been exclusively retained on this assignment.Information contained in this position specification as well as any other information concerning the

Bachelor’s or Master’s degree in Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.

The role will involve working with other Senior Data Scientists and mentoring Associate Data Scientists in analyzing complex data, generating insights, and creating solutions as needed across a variety of tools and platforms. Data Scientist at Smarsh, you will be analyzing a wide range of unstructur

The system is so complex that 88% of U.Solace cuts through the red tape of healthcare by pairing patients with expert advocates and giving them the tools to make better decisions—and get better outcomes.We're a Series C startup, founded in 2022 and backed by Inspired Capital, Craft Ventures, Torch

Teamworks is an equal opportunity employer - if you live our core values every day and are honest, hardworking, humble, committed, innovative, and an all-around exceptional person, you'll thrive at Teamworks. Please do not forward resumes to our jobs alias, Teamworks employees or any other organizat

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. This role requires a strong blend of machine learning expertise, forecasting experience, deep learning knowledge, and hands-on healthcare domain understanding. Analyze healthcare d

Reddit is a community of communities.It’s built on shared interests, passion, and trust and is home to the most open and authentic conversations on the internet.Every day, Reddit users submit, vote, and comment on the topics they care most about.With 100,000+ active communities and approximately 1

We’re hiring a mid-to-senior Machine Learning Engineer / Data Scientist to build and deploy machine learning solutions that drive measurable business impact. Databricks certifications (Data Scientist, Data Engineer, or related).

You're comfortable operating across an end-to-end data pipeline: you can triage pipeline issues, spec data engineering work, and lead a data engineer through complex problems when needed. We're a small team (1 data scientist + a part-time data engineer) at a company with millions of users. Alpha, dr

Tiger Analytics is looking for experienced Data Scientists GenAI to join our fast-growing advanced analytics consulting firm. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. We are seeking a highly skilled and experienced L

Role: Data Scientist – Machine Learning Focus. As a Data Scientist / Data Analyst / Data Science Specialist for Adidev Technologies Inc.