Contract Statistical Programmer Jobs

About the job Shape how Graphcore products move from hardware design into reliable volume manufacturing. As Staff Manufacturing Product Engineer, you will take a leading role in supporting NPI development and volume production across complex hardware products. You will connect design, test, quality and supply chain decisions with real manufacturing outcomes. Your work will help ensure products are manufacturable, resilient and ready for supplier capability. You will provide DfM feedback that improves PCB and system design before issues reach production. You will work closely with contract manufacturers, especially during NPI and early volume manufacture. You will drive yield improvement, analyse production data and resolve L6 manufacturing issues. This role suits someone who enjoys practical engineering ownership across design and production. You will travel to Taiwan and work close to suppliers shaping next generation manufacturing technologies. The team and culture You will join the Manufacturing and Technology Process team within Operations. The team works across Bristol, Cambridge and Taiwan, close to foundry, package assembly and PCBA partners. Work happens through clear ownership, supplier engagement and fast feedback into design teams. You will speak up early when manufacturability, yield or capability needs attention. The team values evidence, responsibility and strong cross-regional relationships. Decisions are made through engineering judgement, data and direct accountability for manufacturing performance. What we're looking for · Strong fault diagnosis, problem solving and failure analysis skills, including ICT to SMT debug · Thorough understanding of Automated surface mount assembly processes and manufacturing methodologies · Working knowledge of L10 mechanical design and system build, ideally for HPC products · Ability to connect silicon, package and PCB interactions into clear DfM feedback · Experienced in statistical analysis tools (e.g JMP, SQL, Pyth

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Job Purpose and Summary: Accountable for Commercial, Medicare, Exchange and Medicaid NCQA Accreditation quality projects and initiatives through design, development, and implementation. This role focuses primarily on Delegated Credentialling and Oversight of the delegated Credentialling organizations, per contract. Proactively builds strong business relationships with internal and external business partners. Participates in presentation to business partners on accreditation requirements to achieve results and ensure accreditation readiness. Proven experience as a subject matter expert on NCQA accreditation standards, analysis, Delegated Credentialing file reviews and supporting quality functions. Primary Job Duties & Responsibilities: Utilizes statistical analysis, data visualization tools, and database queries to identify trends, patterns, and opportunities for quality improvement. Develops and maintains performance metrics and dashboards to track and report on patient safety, clinical effectiveness, patient experience, and compliance with quality standards. Contributes to quality improvement projects and initiatives by providing data-driven insights and recommendations. Collaborates with cross-functional teams to design and implement evidence-based practices, care protocols, and process improvements. Assists in conducting audits and performing chart review

Asana's Data Science team helps us fulfill our mission by informing strategy, defining success metrics, and identifying new ways to deliver user value . Data scientists are at the crux of deepening our understanding of the customers and driving more business outcomes by leveraging experimentation, causal inference, statistical and machine learning techniques, and data storytelling . As an Analytical Engineering Manager, you lead a team of Analytical Engineers who own the data foundations for the business: the Gold layer, canonical metrics, certified dashboards, and semantic layer that make Asana's most important numbers trustworthy, and that make AI-powered self-serve through Claude and Databricks Genie actually work. You sit at the intersection of Data Engineering, Analytics, and Data Science, and you are accountable for whether business stakeholders trust the data in your team's domains and can answer their own questi ons without routing through your team. This role is based in our Warsaw office with an office-centric hybrid schedule . The standard in-office days are Monday, Tuesday, and Thursday . Most Asanas have the option to work from home on Wednesdays . Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements . We offer a Contract of Employment (UoP) for our employees in Poland. What you’ll achieve Lead, grow, and develop a team of Analytical Engineers: Own hiring, coaching, performance, and career growth, setting a high bar for data-model quality and stakeholder trust. Own the Gold layer and semantic-layer strategy across your team's domains (e.g. PLG, marketing, revenue, NPI/AWM), taking accountability for curated data models, canonical metrics, dashboards, and Genie spaces. Treat every recurring insight as a product with an owner, a cadence, and an SLA, building a catalog of trusted, versioned data products instead of one-off rebuilds. Drive self-serve enablement by prioritizing Go

Data Scientist The Data Science team helps us fulfill our mission by informing strategy, defining success metrics, and identifying new ways to deliver user value . Data scientists are at the crux of deepening our understanding of the customers and driving more business outcomes by leveraging experimentation, causal inference, statistical and machine learning techniques, and data storytelling . We understand our company’s goals and proactively inform their direction with data so that our product can help more teams do great things. As a Data Scientist at Asana, you’ll help us ask the right questions and answer them rigorously. You’ll work closely with our Pro duct and Business teams to understand their goals and proactively inform their direction with data. You’ll keep taking on new responsibilities as you grow—from defining core metrics to building machine learning models and keeping the data flowin g in our pipelines This role is based in our Warsaw office with an office-centric hybrid schedule . The standard in-office days are Monday, Tuesday, and Thursday . Most Asanas have the option to work from home on Wednesdays . Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements . We offer a Contract of Employment (UoP) for our employees in Poland . What you’ll achieve Design and analyze experiments to measure the impact of new product features. Investigate high-level questions like “What are the collaborative patterns of the most successful teams using Asana?” Add new metrics and aggregations to our data warehouse to make new classes of questions answerable. Build models to predict the growth trajectory of different customer segments. Partner with cross-functional stakeholders across engineering, product management, and business teams to drive data-informed decision-making. About you Bachelor's Degree in Computer Science, Math, Statistics, Engineering, a related quantitative field, or equivale

Axsome Therapeutics is a biopharmaceutical company leading a new era in the treatment of central nervous system (CNS) conditions. We deliver scientific breakthroughs by identifying critical gaps in care and develop differentiated products with a focus on novel mechanisms of action that enable meaningful advancements in patient outcomes. Our industry-leading neuroscience portfolio includes FDA-approved treatments for major depressive disorder, agitation associated with dementia due to Alzheimer’s disease, excessive daytime sleepiness associated with narcolepsy and obstructive sleep apnea, and migraine, as well as multiple novel product candidates addressing a broad range of serious neurological and psychiatric conditions that impact over 150 million people in the United States. Together, we are on a mission to solve some of the brain’s biggest problems so patients and their loved ones can flourish. For more information, please visit us at www.axsome.com and follow us on LinkedIn and X. About This Role Axsome Therapeutics is seeking a Associate Director/Director, Biostatistics to provide statistical support for multiple neurology compounds across all phases of development. Reporting to the Senior Director, Biostatistics, the Associate Director/Director, Biostatistics will serve as lead statistician on assigned clinical trials, and in collaboration with project team members provide statistical input on trial design, protocol development, and manage creation of Statistical Analysis Plans (SAPs). Additionally, the Associate Director/Director, Biostatistics will manage Contract Resource Organization (CRO) partners in the creation of statistical outputs, with hands-on quality checks of the outputs. This role will contribute to Clinical Study Report (CSR) writing, and regulatory submission documents. This role is based at Axsome’s HQ in New York City with an on-site requirement of at least three days per week. We are unable to consider candidates who are looking for fully r

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. This is a full-time position offered exclusively on a Contract of Employment (Umowa o Pracę) . Please note that this is a hybrid role , requiring employees to work from our Warsaw office (Centrum Koneser) at least 3 days per week . We are not considering fully remote or B2B arrangements for this position. We are seeking an exceptional Senior Data Scientist to join our highly skilled team in Warsaw. You will play a pivotal role in developing a state-of-the-art system that leverages Bayesian statistics and advanced theoretical concepts to estimate and understand the size of marketing and advertising audiences. You will thrive in a fast-paced, dynamic environment where objectives evolve rapidly and complex, abstract problems are the norm. If you are passionate about tackling challenging statistical and mathematical problems, and enjoy working collaboratively with other experts, we want to hear from you. Location Requirement This is a hybrid role based in Warsaw, Poland . Candidates must currently reside in Warsaw, Poland or be willing to relocate independently to Warsaw, as relocation suppo

Job Summary The Supplier Quality Engineer II is a fully proficient professional individual contributor responsible for ensuring that purchased electronic, electrical, electromechanical, and mechanical components, materials, assemblies, and supplier-provided services meet company, customer, regulatory, and contractual quality requirements. Working with limited supervision, this position independently manages routine to moderately complex supplier-quality assignments across supplier qualification, risk assessment, auditing, performance monitoring, nonconformance investigation, corrective and preventive action, change management, and continuous improvement. The (Supplier Quality Engineer II) partners with suppliers and internal stakeholders in Strategic Purchasing, Procurement, Engineering, Manufacturing, Quality, Product Management, Logistics, and other functions to resolve quality issues, strengthen supplier capability, reduce risk, and improve product and process performance. The role applies broad working knowledge of quality engineering principles, electronics-component manufacturing processes, drawings and specifications, quality systems, structured problem-solving methods, and statistical analysis to identify root causes, evaluate containment and corrective actions, and recommend practical solutions. Consistent with a second-level professional contributor role, the Supplier Quality Engineer II independently handles varied assignments within established policies and professional standards, exercises judgment when selecting and adapting methods, manages multiple priorities, and escalates issues that involve significant technical, commercial, customer, or compliance risk. The position may lead to defined supplier-quality projects, facilitate cross-functional problem-solving activities, and provide technical guidance or knowledge sharing to less-experienced employees without formal people-management responsibility. This is the second level within the Supplier Qualit

Internship Summary Are you looking for an internship that provides real life experience? Phoenix Contact's Corporate Management Team is seeking a highly analytical and business-oriented Data Science & Analytics Intern to support strategic initiatives across Product Management, Operations, Sales, and Marketing. This role is ideal for students who enjoy combining technical data skills with business problem solving to identify trends, uncover opportunities, and recommend actions. Our Fall (Sept – Dec) interns work full time with the opportunity to continue through Spring. We strongly prefer candidates who can work onsite regularly to accelerate learning, collaboration, and business understanding. What does a typical day look like? Onsite Day Meet with Product Management, Operations, Manufacturing, Sales, or AEP teams to understand business challenges and decision-making needs. Analyze customer, product, pricing, operations, supply chain, and financial data to identify trends, root causes, and improvement opportunities. Translate ambiguous business questions into structured analytical approaches. Work directly with leadership and subject matter experts to understand product portfolios, operational processes, and customer dynamics. Build dashboards, predictive models, business cases, and executive-level recommendations. Present findings, risks, and recommended actions to stakeholders. Remote day: Deep analytical work including: Data mining and exploration Statistical analysis Predictive modeling Data cleansing and transformation AI-assisted analytics and automation Develop Power BI dashboards and self-service reporting tools. Prepare executive-ready presentations and recommendations. Document assumptions, methodologies, and business insights What makes this internship unique? Phoenix Contact is a global technology leader where interns work on real business challenges that impact customers, products, and operations. Unlike many internships focused solely on reporting,

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As the first point of contact for our Technical Support team, the Customer Services Specialist will orchestrate the flow of inbound inquiries to ensure our global customers receive immediate, world-class assistance. You will bridge the gap between complex technical issues and rapid resolution by strategically routing requests and managing the lifecycle of support tickets. By collaborating closely with Support Engineers and Managers, you ensure that every Everpure customer feels heard and supported during critical moments. WHAT YOU’LL DO Orchestrate Incident Flow: Direct all incoming support requests across phone, email, and the Everpure portal to the appropriate engineers, ensuring high-priority issues are addressed immediately to minimize customer downtime. Manage Lifecycle Communications: Drive customer satisfaction by providing proactive status updates on open tickets, ensuring transparency and setting clear expectations for resolution timelines. Monitor Service Health: Audit the support queue by severity and priority to ensure no case falls behind, escalating critical or aging issues to Support Leadership to maintain our stringent Service Level Agreements (SLAs). Drive Operational Intelligence: Perform targeted statistical analysis on recurring support trends to help the engineering team identify root causes and improve the long-term stability of the Everpure Platform. WHAT YOU BRING Experience: A

Director of Corporate Accounting Reports To: VP Finance Location: North America (Hybrid) Team: No direct reports Role Summary The Director of Corporate Accounting manages the consolidation, reporting, and systems data landscape for a multi-entity corporate group operating in Canada and the U.S. You will lead consolidations, multi-jurisdictional tax compliance, and technical accounting. Additionally, this role acts as the functional owner of the group’s financial technology, participating in the implementation of an electronic data warehouse for unified financial and statistical reporting, while establishing robust access management protocols for key financial systems. This is a hands-on leadership role. You will operate at both strategic and execution levels, ensuring audit readiness, controlled working capital, and consistent margin reporting across agencies. Core Mandate Deliver consolidated financial statements within the established group close calendar, with a business day five target as entity close processes mature Provide expertise on technical accounting matters Oversee global group taxation and manage the relationship with the group’s external advisors Responsibility for administration of core financial systems Mentor a growing team of accountants in an indirect relationship Key Responsibilities Financial Reporting & Consolidations Manage the month-end, quarter-end, and annual financial consolidation for 10-15 corporate entities. Oversee multi-currency consolidations, intercompany eliminations, and translation adjustments between CAD and USD. Prepare accurate, timely consolidated financial statements, management reports, and variance analyses for senior leadership and the Board of Directors. Serve as the primary contact for external auditors, managing the annual audit process and supporting audit readiness and the timely resolution of findings and control deficiencies. Financial Data Warehouse Participate in designing, implementing, and mai

About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. Key Responsibilities: Collection Strategy & Analytics - Develop strategies for all collections related activities and ensure that the processes are followed as planned Analyzing the data and Implementing different collection strategies with Data Science Regular improvement in processes & collection strategies. A/B testing, data analysis and iterations. Develop and implement advanced analytics approaches including statistical modelling Analyze big data (structured and unstructured) and understand trends to provide actionable insights that impact business bottom line. Break down the Loss forecasts into collections roll rates and recovery rates Track Account-to-Collection Ratios (ACR) by bucket to optimize collections performance Segmentation analysis has to be conducted using analytical tools and strategies for each segment have to be deployed across buckets. Devise Champion Challenger programs showing Cost Vs Benefit analysis driving higher resolution rates across products and buckets Analyzing data: Performing quantitative and qualitative analysis on accounts. Developing strategies: Developing collection strategies based on insights from stakeholders. Implementing strategies: Working with the collection strategy support unit to implement and control the execution of strategies. Improving processes: Automating processes, data, and models to improve productivity. Forecasting losses: Increasing the accuracy of loss-forecasting strategies. Segmenting customers: Developing more effective contact strategies by segmenting customers, including behavioral segmentation. Meeting regulatory requirements: Applying individualized c

Job Title Government Contract Portfolio Manager (Office: Nashville, TN or Bothell, WA) Job Description Government Contract Portfolio Manager (Office: Nashville, TN or Bothell, WA) The Government Contract Portfolio Manager will support strategic requests for proposal, requests for offers, and federal government consolidations from the National Acquisition Center, General Services Administration, Department of War, and Veterans Affairs across multiple Philips government contracting vehicles, while proactively managing delivery orders from creation through execution and modifications to ensure compliance and serving as the primary point of contact for requests for proposal, requests for offers, and consolidations. Your role: Serve as the primary point of contact for Federal Contracting Officers on Delivery Orders and related contract matters. Ensure compliance across Delivery Orders, Government bids, and modifications, while following Philips internal documentation processes. Manage the consolidation/RFO process, including quotes, spreadsheets, document uploads, and tracking wins, losses, cancellations, and pushes. Advise Government Enterprise Sales and Business Unit Account Managers on procurement best practices to avoid delayed revenue; support RFQs, proposals, inspection requests, and revenue recognition activities. Monitor and report Delivery Order statistics and KPIs, including win rate, dollars, volumes, modifications root causes, and CPARs, while coordinating with sales and Customer Project Management to maintain compliance. You're the right fit if: 3+ years of experience in areas such as Sales, Contract Management or equivalent Bachelor's Degree in Business Administration, Law or equivalent. Federal contracting certifications are a plus, such as Defense Acquisition Univers

We’re building a new quantitative research team focused on pricing, market-making, and risk models for prediction markets. This is a highly hands-on role for someone who can operate end-to-end: data engineering, research, modeling, and close collaboration with traders, across sports and non-sports event markets and a range of contract types, including single-outcome markets, player props, and parlays. Responsibilities: Build data foundation, transform raw data into pricing inputs Research and develop quantitative pricing, market-making, and risk models across sports, non-sports, player props, parlays, and correlated markets Model cross-market dependencies, correlations, and portfolio effects, especially for combinatorial products such as parlays Partner closely with traders to improve pricing logic, market coverage, and trading performance Build frameworks for backtesting, simulation, and model validation Create tools to monitor model performance, calibration, P&L attribution, and live trading outcomes Help define the tooling, workflow, and research standards for a new team Requirements: Strong quantitative background in statistics, math, ML, economics, or a related field Experience building models in trading, sports, betting, prediction markets, or similar domains Strong Python/data skills and comfort owning data pipelines as well as modeling Ability to move quickly from raw data to research insight to production-ready mode High ownership, strong communication skills and comfortable with fast-paced high growth environment Life @ Crypto.com Empowered to think big. Try new opportunities while working with a talented, ambitious and supportive team. Transformational and proactive working environment. Empower employees to find thoughtful and innovative solutions. Growth from within. We help to develop new skill-sets that would

Scale AI is at the forefront of the AI revolution, helping the U.S. government unlock the potential of AI across national security missions. We’re building enterprise-grade generative AI solutions and delivering them into operational use cases that matter. We’re hiring an engagement manager (EM) to lead and coordinate delivery of agentic workflows for a national security customer. As an EM on our public sector delivery team, you will own or support a large account plan, manage day-to-day execution for customers, and ensure an incredible customer experience. This role is ideal for someone who blends program leadership, customer relationship building, technical fluency, and contract awareness — and who thrives in fast-moving, ambiguous, and mission-driven environments. You will: Manage customer relationships from the executive to the end user Work alongside customers to scope agentic workflow use cases that Scale’s engineering team will build and you will ultimately refine Lead or support a cross-functional project team to deliver on and exceed the customer's AI/ML objectives Lead with a “whatever-it-takes” mentality, proactively identifying customer needs and operator pain points to ensure customer success Oversee onboarding and successful implementation of customer accounts We have a diverse team with a variety of skill sets, many have: A technical background (education or professional experience with computer science, economics, statistics, engineering) A proven track record in B2B client-facing roles and expanding client relationships Prior experience owning the technical implementation of solutions to the government Must haves: An active TS/SCI clearance (Full Scope Polygraph is a nice to have) 3+ years of work experience succeeding in stakeholder management or a customer-facing role delivering enterprise-scale applications / solutions A track record of structured, analytics-driven problem solving Excellent verbal and written communicat

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We’re looking for a Senior Manager to lead our App Experience & Marketplace Data Science team in the Product organization. You will lead a team covering app experience (UI, growth platform, analyst/admin/data engineer tools and experience) and data marketplace areas. Well designed high value apps are essential to make it simple for our customers to complete billions of SQL queries, deploy python, and use powerful AI tools every day Data marketplace makes it easy with a click of a button to get access to a wide range of 3rd party data instead of having to contact a sales representative at a data vendor and setup and maintain a complex API. All the projects above allow the data scientist to work on very large datasets, and a variety of diverse interesting projects that span the domains of data engineering, analytics, statistics, and machine learning. In this role, you will both lead a team, and be hands-on as a tech lead in this area. The manager will interact frequently with senior management, product managers, and engineering managers. The ability to effectively communicate complex technical ideas to a wide audience is crucial. IN THIS ROLE YOU WILL: Serve as the tech lead/manager of a Data Science team in the Product organization, leveraging AI tools and functions (e.g