This page tracks remote data scientist openings that are location-eligible for Idaho.
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• Design the Future of Ads Identity: Develop/employ probabilistic models for identity resolution. Design the methodology that links on-platform and off-platform actions to maximize addressability while honoring privacy. • Advance Lift Methodologies & Experimentation: Own the statistical rigor behind Reddit’s Brand and Conversion Lift products. Innovate experimental design and develop infrastructure that supports large-scale, high-velocity, low-bias testing for advertisers. • Maximize Signal for Predictive Performance: Define the strategy for new signal sources. You will mathematically quantify the value of these signals and work with modeling teams to incorporate them into predictive models, directly improving bidding efficiency and ROAS. • Define Ground Truth & Evaluation Frameworks: Solve the industry-wide challenge of validating identity and measurement. Design the objective functions and truth sets used to train our models and measure the incremental impact of our identity graph. • Lead Through Cross-Functional and Technical Influence: Collaborate deeply with engineering, product, and sales to align on strategic goals, translate insights into action, and drive execution. Set a high technical bar by mentoring others and championing best practices across modeling, experimentation, and measurement.
• Define the long-term data science vision & strategy across ads measurement, signal quality, identity, attribution, and privacy. Establish how Reddit should evaluate advertiser value, measurement quality, and signal utility across first-party and third-party products. • Define the long-term data science strategy across ads measurement, signal quality, identity, attribution, and privacy. Establish how Reddit should evaluate advertiser value, measurement quality, and signal utility across first-party and third-party products. • Create rigorous frameworks for validating lift, attribution, identity quality, modeled conversions, signal loss recovery, and privacy-aware measurement. Define ground truth, objective functions, quality metrics, guardrails, and decision frameworks that guide product and engineering investments. • Lead the evolution of Reddit’s experimentation and lift methodologies across Brand Lift, Conversion Lift, Split Testing, and emerging measurement products. Improve study quality, reduce bias and contamination, and develop scalable diagnostics for experiment health, feasibility, and interpretability. Partner with Ads Engineering to operationalize complex causal models, ensuring that scientific methodologies are not only accurate but also performant, scalable, and resilient in high-throughput production environments. • Quantify how signal quality, match rates, identity resolution, modeled conversions, and privacy changes affect bidding efficiency, CPA, ROAS, and advertiser outcomes. Partner with modeling and ranking teams to translate measurement improvements into performance gains. • Lead a privacy-first measurement paradigm, positioning Reddit as a market leader in trusted advertising by recovering signal utility through compliant modeling. • Lead cross-org efforts to define reusable methodologies, dashboards, scorecards, quality metrics, and best practices. Build repeatable systems that improve how Ads DS evaluates launches, monitors regressions, sizes opportunities, and communicates impact. • Partner with senior leaders across Product, Engineering, Sales, Marketing Science, Legal/Privacy, and Ads leadership to shape roadmap decisions. Translate complex scientific tradeoffs into clear business and product recommendations. • Mentor Staff and Senior data scientists, sponsor high-impact technical work, and raise the bar for causal inference, measurement science, identity evaluation, data quality, and cross-functional decision-making across Ads DS.
Empowering data-driven healthcare for payers, providers, pharmacies, and life sciences organizations.
• Serve as lead for programming, analytics, and statistics when working collaboratively with teams of health services researchers and business analysts to draw insight and intelligence from large administrative claims datasets, electronic medical records and various healthcare registry datasets. • Identify and develop solutions that can be implemented to key strategic business problems using high-level modeling and statistical analyses techniques. • Utilize SQL to perform advanced-level data extraction, transformation and data management; fully document and manage library of source code and algorithms for future use. • Identify, develop and test hypotheses in support of research and product offerings, and communicate findings in a clear, precise, and actionable manner to our clients. • Respond to and lead highly complex operational data requests and create ad-hoc queries to support research projects. • Provide quality control, quality assurance and review for projects where not the lead including solution orientated approaches and mentoring for cross functional training across the functional project teams. • Serve as lead when working closely with Inovalon’s Enterprise Data Management, Data Integration, MORE2 Registry®, and iPORT+™ teams to identify, understand, and resolve data issues and improve the efficiency, productivity and scalability of Avalere and Inovalon Product and production data processes. • Troubleshoot complex production-related issues and coordinate successful resolution. • Assist with the evaluation of data analytic vendors and tools. • Maintain compliance with Inovalon’s policies, procedures and mission statement. • Adhere to all confidentiality and HIPAA requirements as outlined within Inovalon’s Operating Policies and Procedures in all ways and at all times with respect to any aspect of the data handled or services rendered in the undertaking of the position. • Fulfill those responsibilities and/or duties that may be reasonably provided by Inovalon for the purpose of achieving operational and financial success of the Company. • Uphold responsibilities relative to the separation of duties for applicable processes and procedures within your job function. • We reserve the right to change this job description from time to time as business needs dictate and will provide notice of such.
Bloomerang helps nonprofits deliver a better giving experience so they can raise more funds and create lasting change.
• Design and run the experimentation engine for fundraising actions. • Build predictive and forecasting models that drive donor lifetime value and retention. • Own model quality and evaluation for trustworthy AI products. • Manage ML lifecycle on Databricks and MLflow including model training and performance monitoring. • Define technical direction for data science with high standards and rigor. • Partner daily with data engineers and AI engineers.
We will never settle for the world that’s been built, but relentlessly drive it forward. #BetterNeverSettles
Role Description We are seeking an exceptional leader to join our dynamic and innovative growth in Mission Critical Facilities and Data Centers, under our Life & Technology Sciences Platform. This pivotal role involves managing complex leading all project delivery activities for commercial real estate projects, delivering tailored solutions that exceed client expectations. The ideal candidate will serve as the main point of contact for clients, ensuring all aspects of the project engagements are handled with the highest level of professionalism and efficiency. This role demands a unique blend of expertise across diverse fields, along with exceptional project management and interpersonal skills. The leader will act as a crucial liaison, coordinating between the company's various departments, third-party partners, and clients, to ensure a seamless integration of services. This position is not just about business development or managing projects but also about fostering a culture of collaboration and innovation, working closely with the Project & Development Services leadership team to champion cross-business initiatives that benefit our clients, colleagues, and broader community interests. Our ideal candidate will embody professionalism and integrity, bringing forward-thinking strategies to the table. They will play a key role in upholding the values and standards of Cushman & Wakefield, driving the company towards achieving win-win solutions in all engagements. This role is an extraordinary opportunity for a visionary professional to influence and shape the future of our diverse and rapidly evolving sectors. If you are passionate about leading cutting-edge projects and making a significant impact in the industry, we encourage you to apply for this exciting position. Qualifications - Bachelor's degree in a Science or Mechanical and/or Electrical engineering disciplines. Advanced degrees are desirable. - 5 to 10+ years of Design and Construction industry experience in the aforementioned fields. - 7+ years of Commercial Real Estate Project Management experience with related experience in product development, launch, business process optimization, regulatory submission and/or regulatory compliance, and/or quality assurance. - Proven track record with delivering complex commercial Real Estate and Design/Construction projects. - Experience with providing advanced projects controls solutions, including P3/Primavera and Cost and Budget Estimating solutions. - PMP and LEED Certificates preferred. - Knowledge and application of a disciplined Project Management process (Six Sigma desirable). Requirements - Extensive experience in leading projects within Mission Critical and Advanced Technologies Sectors. - Proven track record in managing complex commercial Real Estate projects. - Strong leadership skills with the ability to act as a liaison across various departments and external partners. - Excellent communication, organizational, and project management skills. - Commitment to professionalism, ethical standards, and innovative problem-solving. - Demonstrates subject matter expertise in the development and completion of aforementioned project types. - Acts as the trusted business advisor and strategic partner by the clients both internally and externally. Benefits - Health, vision, and dental insurance. - Flexible spending accounts. - Health savings accounts. - Retirement savings plans. - Life and disability insurance programs. - Paid and unpaid time away from work. - Competitive pay based on eligibility factors such as geographic location, date of hire, total hours worked, job type, business line, and applicability of collective bargaining agreements.
Cloud Software Group is one of the world’s largest cloud solution providers, serving more than 100 million users around the globe. When you join Cloud Software Group, you are making a difference for real people, each of whom count on our suite of cloud-based products to get work done — from anywhere. Members of our team will tell you that we value passion for technology and the courage to take risks. Everyone is empowered to learn, dream, and build the future of work. We are on the brink of another Cambrian leap -- a moment of immense evolution and growth. And we need your expertise and experience to do it. Now is the perfect time to move your skills to the cloud. Cloud Software Group is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination. All qualified applicants will receive consideration for employment without regard to age, race, color, creed, sex or gender, sexual orientation, gender identity, gender expression, ethnicity, national origin, ancestry, citizenship, religion, genetic carrier status, disability, pregnancy, childbirth or related medical conditions (including lactation status), marital status, military service, protected veteran status, political activity or affiliation, taking or requesting statutorily protected leave and other protected classifications. If you need a reasonable accommodation due to a disability during any part of the application process, please contact us via the Bridge portal for assistance.
Role Description We are seeking a Senior Customer Success Data Scientist to join our team in the North America region. California is preferred, and we will consider US West Region; Arizona, Oregon, Washington. This role is ideal for a candidate with proven expertise in the High Tech Manufacturing Industry and a strong passion for Industrial AI and Analytics and Visual Data Science. In this role, you will be the driving force behind long-term customer success for a portfolio of clients, responsible for achieving high adoption, retention, and satisfaction. You will serve as a trusted advisor to all customer stakeholders and act as the key liaison between the customer and internal Spotfire teams. The successful candidate will leverage their hands-on prowess and thought leadership to significantly grow our customers' analytical capabilities using Spotfire. A key part of the role involves developing analytical deliverables, employing methods from exploratory analytics to machine learning, statistical modeling, and AI. Joining a highly collaborative team, you will deliver outcomes that enhance both product and account health. Furthermore, you will have exciting opportunities to represent Spotfire at industry events and contribute to our active customer and partner community. Responsibilities - Technical Strategy: Use Spotfire and data science skills to collaborate with customers, translating their business objectives into actionable success plans. Develop a deep understanding of industry analytics use cases. Customer Success plans include onboarding, adoption, monitoring support, managing upgrades, enabling new features, and establishing a center of excellence. - Trusted Advisor: Aware of industry context and understanding customer needs through regular customer health assessments you can build consultative relationships and act as trusted advisor helping navigate challenges and building long-term customer advocacy. - Innovation: Perform and guide R&D topics in the field of applied machine learning and AI. Translate customer business goals into technical objectives and help create custom solutions for industry use cases, providing guidance, and building prototypes. Projects include Large Language Models, digital twin, anomaly detection in time series, or mathematical modeling of manufacturing processes. - Cross-functional Collaboration: Collaborate with sales, support, product management, and engineering to align and support strategy, improve customer outcomes, help resolve escalations, find sales opportunities, and provide product roadmap input. This involves gathering and sharing detailed information, analysis, and investigation to address numerous, often undefined, problems and requests. - Education and Community: Actively engage with your customers in the Spotfire community to drive adoption and enablement. Contribute relevant industry and data science content. Represent the team in industry events and external conferences. - Personal Development: Continue to develop expertise and monitor trends in industry analytics and visual data science tools and techniques. - Organizational Impact: Works to achieve operational targets with major impact on the departmental results and work is performed with limited supervision. - Leadership and Talent Management: Some level of coaching and training of other employees within the job area will be involved. Qualifications - 3-5+ years of data science experience using software environments and programming languages e.g. Spotfire, Tableau, Qlikview, JMP, KNIME, Dataiku, Azure, AWS, Databricks, Snowflake, and for programming languages Python, R. - Experience with other software components for data preparation and integration e.g. Data Virtualization is a plus. - Knowledge of SQL, .Net, Java, IronPython, Javascript, C++ and knowledge of Generative AI is a plus. - 3-5+ years of experience in advanced data analytics and delivery of demonstrations, projects, engagements or deployed software applications. - Problem-solver with experience applying advanced analytics such as machine learning and optimization techniques to large, complex and disparate data sources. - 3-5+ years of Industry experience in applying analytics to the sector specific data problems in key Industry such as Manufacturing, Energy, Transportation & Logistics and Life Sciences. - Excellent communication and relationship-building skills are essential, including the ability to pro-actively influence and cultivate long-term relationships with internal and external stakeholders. - Collaboration skills - strong ability to work effectively in an internal and customer team environment and to manage multiple projects to a good final outcome. - Bachelor's or higher degree in Computer Science, Statistics, Data Science, Engineering, Science, or related analytical field of study with graduate classes in statistics and data mining. - Language Skills: Proficiency in English is required. Fluency in Spanish or Portuguese is a plus. Requirements - You must have full working rights for the United States. If on a work permit or visa, please make sure the details along with expiry date are included on your application. Benefits - U.S. based employees are typically offered access to healthcare, life insurance and disability benefits, 401(k) plan and company match, among others.
Role Description ClinChoice is searching for a Clinical R Programmer/Principal Data Scientist Consultant to join one of our clients. We are seeking a Principal Data Scientist Consultant with strong experience in R and a solid background in clinical programming. The ideal candidate will have hands-on experience developing SDTM and ADaM datasets using R, along with working knowledge of SAS. This role requires someone who can support clinical trial deliverables, ensure regulatory compliance, and collaborate closely with biostatistics and clinical data teams. - Develop, validate, and maintain SDTM and ADaM datasets using R following CDISC standards. - Support TLF (Tables, Listings, Figures) generation in R or SAS as needed. - Write efficient, reproducible, and well-structured R scripts for clinical data analysis and reporting. - Collaborate with statisticians, data managers, and clinical teams to understand programming requirements. - Perform QC checks, reconcile data issues, and ensure deliverables meet regulatory expectations (e.g., FDA, EMA). - Contribute to programming workflows, documentation, and version control best practices. - Support automation initiatives and R-based pipeline development. - Utilize SAS for legacy studies or where SAS support is required. Qualifications - Bachelor’s or Master’s degree in Statistics, Computer Science, Mathematics, Life Sciences, or related field. - 4–6+ years of experience in clinical programming, with a strong focus on R. - Proven experience in creating SDTM and ADaM datasets using R. - Working knowledge of SAS programming. - Solid understanding of CDISC standards (SDTM, ADaM). - Experience with clinical trial data, regulatory submissions, and QC processes. - Strong analytical, problem-solving, and documentation skills. Requirements - Experience with R packages such as tidyverse, haven, pharmaverse (e.g., admiral, tidyCDISC), or other clinical programming toolkits. - Understanding of R Markdown, Shiny apps, or reproducible reporting tools. - Exposure to GxP validation, version control (Git), and automated workflows. - Experience working in a CRO or pharmaceutical environment. Company Description ClinChoice is a global full-service CRO specializing in clinical development and functional solutions for pharmaceutical, biotechnology, medical device, and consumer health companies. We have over 28 years of proven high-quality delivery and results across all our services, with over 4,000 professionals in more than 20 countries across the Americas, Europe, and Asia-Pacific. Our mission drives our culture: to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. Our employees are the most valuable company asset, and they are the fulcrum around which all ClinChoice activities are built, and close management and training are the core instruments to develop and maintain highly-qualified personnel. The continuous training keeps the resources qualified in terms of competence and expertise and gives all personnel the clear tools needed to manage both internal and client processes with the same methodology. The success of these core values is evidenced by our low industry-average turnover rates. ClinChoice is an equal opportunity employer. We have based our success on attracting, developing, and promoting talent, guided by a commitment to diversity and inclusivity. Our employees come from very diverse backgrounds: gender, race, beliefs, and ethnicities. We recognize this is our strength and celebrate it.
Role Description As a Senior Data Scientist at the Experian Innovation Lab, your role will be to research and develop analytical solutions, prototype new products, and evaluate data assets. You must bring an experience in predictive modeling, machine learning, and deep learning to this position. You will report into the Sr. Principal Data Scientist. You'll have the opportunity to: - Create advanced machine learning analytical solutions to extract insights from diverse structured and unstructured data sources. - Unearth data value by selecting and applying the right machine learning, deep learning and processing techniques. - Refine data manipulation and retrieval through the design of efficient data structures and storage solutions. - Innovate with tools designed for data processing and information retrieval. - Dissect and document vast datasets, analyzing them to highlight patterns and insights. - Solve complex challenges by developing impactful algorithms. - Ensure model excellence by validating performance scores and analyzing Return on investment and benefits. Qualifications - PhD degree in Machine Learning, Data Science, AI, Computer Science, or a related quantitative field. - 2+ years of experience in AI, data science, or predictive modeling. - Proficiency in multiple programming languages, including Python. - Experience in deep learning (CNN, RNN, LSTM, attention models), machine learning methodologies (SVM, GLM, boosting, random forest), graph models, or reinforcement learning. - Experience with open-source tools for deep learning and machine learning technology such as pytorch, Keras, tensorflow, scikit-learn, pandas. - Experience with large data analysis using pySpark. - Experience with LLMs and the relevant tools in the Generative AI domain. - Experience with Hadoop and NoSQL related technologies such as Map Reduce, Hive, HBase, mongoDB, Cassandra. - Experience modifying and applying advanced algorithms to address practical problems. - Experience with online, mobile marketing analytics. - Experience with GPU programming. Benefits - Great compensation package and bonus plan. - Core benefits including medical, dental, vision, and matching 401K. - Flexible work environment, ability to work remote, hybrid or in-office. - Flexible time off including volunteer time off, vacation, sick and 12-paid holidays.
• Lead a data science team and cross-functional projects • Innovate and improve machine learning models • Partner with business leaders and technical experts across the company • Develop new data sources and improve our modeling methodology • Apply models with sound risk management
Liberty Mutual is a leading global insurance corporation and one of the largest casualty and property insurance companies in the nation. In the past, Liberty Mu
Role Description At Liberty, our Personal Lines Property & Specialty Product team partners across the company to design and launch home and specialty insurance solutions — from homeowners (property) and condos to renters and other niche lines (specialty)— that meet evolving customer and agent needs. We focus on preparing and executing program rollouts, delivering on our growth roadmap, and modernizing pricing and the technology that supports the work we do. Organized into five functions—State Management, Development, Delivery, Underwriting Effectiveness, and Specialty—we collaborate closely to meet our goals and help customers feel secure today and confident about tomorrow. We are looking for a motivated, analytically driven professional to join the US Property & Specialty Delivery Monitoring team as a Property & Casualty Pricing Insights Advisor. In this role, you will have a direct opportunity to influence and shape our newest homeowners pricing programs through rigorous evaluation of program performance, clear articulation of risk, and actionable recommendations backed by data and sound business judgment. This is a high-visibility, fast paced role with regular exposure to senior and executive leadership. You Will Be Responsible For: - Monitoring the implementation and performance of new pricing programs at both the state and program level, with a focus on key metrics including conversion rates, average quoted premium, segmentation trends, and profitability indicators. - Applying business acumen to translate complex, ambiguous analysis into clear findings and business impact. - Telling a story with data — informing and influencing stakeholders across Delivery, Risk Analytics, Underwriting, and State Management teams. - Delivering executive-level updates through recurring newsletters, memos, and presentations; synthesizing inputs from multiple teams into a single, cohesive narrative. - Building and maintaining monitoring frameworks, guardrails, and quality control processes that support consistent, repeatable program evaluation. - Supporting prioritization of analytical work based on urgency, materiality, and business impact — distinguishing signals that require action from normal market noise. - Leading development of team processes, tools, and analytical capabilities. Qualifications - Bachelor's degree in business, information management, economics, or other quantitative field. Master’s degree preferred. - Minimum 4 years, typically 6 years or more of relevant work experience. - Knowledgeable in data query languages and tools; proficient in new and emerging technologies; may possess data modeling skills. - Highly developed communication and presentation skills. - In-depth knowledge of data concepts, strategies, and methodologies. - In-depth knowledge of data architectures, solutions and designs; extensive knowledge of business operations, strategies and objectives. - Highly developed negotiation, facilitation and consensus building skills. Requirements - Insurance product or pricing knowledge — familiarity with insurance products and pricing mechanics, rate calibration, segmentation, and the pricing program lifecycle is strongly preferred. - Strong analytical and quantitative skills — ability to work with large, complex datasets to identify trends, draw meaningful conclusions, and support data-driven decision making. - Sound business judgment — ability to prioritize findings by impact, operate confidently with limited or noisy data, and recommend clear next steps under uncertainty. - Technical proficiency — advanced Excel, Power BI, and the ability to query and manipulate data using SQL, Python, and/or Snowflake. - Executive communication skills — proven ability to write clearly and concisely for senior audiences, translating data into decision-ready insights. - Cross-functional effectiveness — track record of driving workstreams forward, building alignment across teams, and influencing without direct authority. - Curiosity and intellectual rigor — a natural problem solver who asks the right questions, challenges assumptions, and digs deeper when results don't add up. Benefits - Comprehensive benefits. - Workplace flexibility. - Professional development opportunities. - Opportunities provided through Employee Resource Groups.
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Python, SQL, Scikit-Learn, AI, AI/ML, Observability/Monitoring
