Data Scientist jobs at Oloop Technology Solutions

Concert is a software and managed services company that promotes health by providing the digital infrastructure for reliable and efficient management of laboratory testing and precision medicine. We are wholeheartedly dedicated to enhancing the transparency and efficiency of health care. Our customers include health plans, provider systems, laboratories, and other important stakeholders. We are a growing organization driven by smart, creative people to help advance precision medicine and health care. Learn more about us at *************** YOUR ROLE Concert is seeking a skilled Senior Data Engineer to join our team. Your role will be pivotal in designing, developing, and maintaining our data infrastructure and pipelines, ensuring robust, scalable, and efficient data solutions. You will work closely with data scientists, analysts, and other engineers to support our mission of automating the application of clinical policy and payment through data-driven insights. You will be joining an innovative, energetic, passionate team who will help you grow and build skills at the intersection of diagnostics, information technology and evidence-based clinical care. As a Senior Data Engineer you will: Design, develop, and maintain scalable and efficient data pipelines using AWS services such as Redshift, S3, Lambda, ECS, Step Functions, and Kinesis Data Streams. Implement and manage data warehousing solutions, primarily with Redshift, and optimize existing data models for performance and scalability. Utilize DBT (data build tool) for data transformation and modeling, ensuring data quality and consistency. Develop and maintain ETL/ELT processes to ingest, process, and store large datasets from various sources. Work with SageMaker for machine learning data preparation and integration. Ensure data security, privacy, and compliance with industry regulations. Collaborate with data scientists and analysts to understand data requirements and deliver solutions that meet their needs. Monitor and troubleshoot data pipelines, identifying and resolving issues promptly. Implement best practices for data engineering, including code reviews, testing, and automation. Mentor junior data engineers and share knowledge on data engineering best practices. Stay up-to-date with the latest advancements in data engineering, AWS services, and related technologies. After 3 months on the job you will have: Developed a strong understanding of Concert's data engineering infrastructure Learned the business domain and how it maps to the information architecture Made material contributions towards existing key results After 6 months you will have: Led a major initiative Become the first point of contact when issues related to the data warehouse are identified After 12 months you will have: Taken responsibility for the long term direction of the data engineering infrastructure Proposed and executed key results with an understanding of the business strategy Communicated the business value of major technical initiatives to key non-technical business stakeholders WHAT LEADS TO SUCCESS Self-Motivated A team player with a positive attitude and a proactive approach to problem-solving. Executes Well You are biased to action and get things done. You acknowledge unknowns and recover from setbacks well. Comfort with Ambiguity You aren't afraid of uncertainty and blazing new trails, you care about building towards a future that is different from today. Technical Bravery You are comfortable with new technologies and eager to dive in to understand data in the raw and in its processed states. Mission-focused You are personally motivated to drive more affordable, equitable and effective integration of genomic technologies into clinical care. Effective Communication You build rapport and great working relationships with senior leaders, peers, and use the relationships you've built to drive the company forward RELEVANT SKILLS & EXPERIENCE Minimum of 4 years experience working as a data engineer Bachelor's degree in software or data engineering or comparable technical certification / experience Ability to effectively communicate complex technical concepts to both technical and non-technical audiences. Proven experience in designing and implementing data solutions on AWS, including Redshift, S3, Lambda, ECS, and Step Functions Strong understanding of data warehousing principles and best practices Experience with DBT for data transformation and modeling. Proficiency in SQL and at least one programming language (e.g., Python, Scala) Familiarity or experience with the following tools / concepts are a plus: BI tools such as Metabase; Healthcare claims data, security requirements, and HIPAA compliance; Kimball's dimensional modeling techniques; ZeroETL and Kinesis data streams COMPENSATION Concert is seeking top talent and offers competitive compensation based on skills and experience. Compensation will commensurate with experience. This position will report to the VP of Engineering. LOCATION Concert is based in Nashville, Tennessee and supports a remote work environment. For further questions, please contact: ******************.

**NO 3rd Party vendor candidates or sponsorship** Role Title: Senior Data Engineer Client: Global construction and development company Employment Type: Contract Duration: 1 year Preferred Location: Remote based in ET or CT time zones Role Description: The Senior Data Engineer will play a pivotal role in designing, architecting, and optimizing cloud-native data integration and Lakehouse solutions on Azure, with a strong emphasis on Microsoft Fabric adoption, PySpark/Spark-based transformations, and orchestrated pipelines. This role will lead end-to-end data engineering-from ingestion through APIs and Azure services to curated Lakehouse/warehouse layers-while ensuring scalable, secure, well-governed, and well-documented data products. The ideal candidate is hands-on in delivery and also brings data architecture knowledge to help shape patterns, standards, and solution designs. Key Responsibilities Design and implement end-to-end data pipelines and ELT/ETL workflows using Azure Data Factory (ADF), Synapse, and Microsoft Fabric. Build and optimize PySpark/Spark transformations for large-scale processing, applying best practices for performance tuning (partitioning, joins, file sizing, incremental loads). Develop and maintain API-heavy ingestion patterns, including REST/SOAP integrations, authentication/authorization handling, throttling, retries, and robust error handling. Architect scalable ingestion, transformation, and serving solutions using Azure Data Lake / OneLake, Lakehouse patterns (Bronze/Silver/Gold), and data warehouse modeling practices. Implement monitoring, logging, alerting, and operational runbooks for production pipelines; support incident triage and root-cause analysis. Apply governance and security practices across the lifecycle, including access controls, data quality checks, lineage, and compliance requirements. Write complex SQL, develop data models, and enable downstream consumption through analytics tools and curated datasets. Drive engineering standards: reusable patterns, code reviews, documentation, source control, and CI/CD practices. Requirements: Bachelor's degree (or equivalent experience) in Computer Science, Engineering, or a related field. 5+ years of experience in data engineering with strong focus on Azure Cloud. Strong experience with Azure Data Factory pipelines, orchestration patterns, parameterization, and production support. Strong hands-on experience with Synapse (pipelines, SQL pools and/or Spark), and modern cloud data platform patterns. Advanced PySpark/Spark experience for complex transformations and performance optimization. Heavy experience with API-based integrations (building ingestion frameworks, handling auth, pagination, retries, rate limits, and resiliency). Strong knowledge of SQL and data warehousing concepts (dimensional modeling, incremental processing, data quality validation). Strong understanding of cloud data architectures including Data Lake, Lakehouse, and Data Warehouse patterns. Preferred Skills Experience with Microsoft Fabric (Lakehouse/Warehouse/OneLake, Pipelines, Dataflows Gen2, notebooks). Architecture experience (formal or informal), such as contributing to solution designs, reference architectures, integration standards, and platform governance. Experience with DevOps/CI-CD for data engineering using Azure DevOps or GitHub (deployment patterns, code promotion, testing). Experience with Power BI and semantic model considerations for Lakehouse/warehouse-backed reporting. Familiarity with data catalog/governance tooling (e.g., Microsoft Purview).

Contract-to-Hire Columbus, OH (Hybrid) Our healthcare services client is looking for an entry-level Data Engineer to join their team. You will play a pivotal role in maintaining and improving inventory and logistics management programs. Your day-to-day work will include leveraging machine learning and open-source technologies to drive improvements in data processes. Job Responsibilities Automate key processes and enhance data quality Improve injection processes and enhance machine learning capabilities Manage substitutions and allocations to streamline product ordering Work on logistics-related data engineering tasks Build and maintain ML models for predictive analytics Interface with various customer systems Collaborate on integrating AI models into customer service Qualifications Bachelor's degree in related field 0-2 years of relevant experience Proficiency in SQL and Python Understanding of GCP/BigQuery (or any cloud experience, basic certifications a plus). Knowledge of data science concepts. Business acumen and understanding (corporate experience or internship preferred). Familiarity with Tableau Strong analytical skills Attitude for collaboration and knowledge sharing Ability to present confidently in front of leaders Why Should You Apply? You will be part of custom technical training and professional development through our Elevate Program! Start your career with a Fortune 15 company! Access to cutting-edge technologies Opportunity for career growth Eight Eleven Group provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, national origin, age, sex, citizenship, disability, genetic information, gender, sexual orientation, gender identity, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state, and local laws.

Job Title: Data Modeler II Type: W2 Contract (USA)/INC or T4 (Canada) Work Setup: Hybrid (On-site with flexibility to work from home two days per week) Industry: Oil & Gas Benefits: Health, Dental, Vision Job Summary We are seeking a Data Modeler II with a product-driven, innovative mindset to design and implement data solutions that deliver measurable business value for Supply Chain operations. This role combines technical expertise with project management responsibilities, requiring collaboration with IT teams to develop solutions for small and medium-sized business challenges. The ideal candidate will have hands-on experience with data transformation, AI integration, and ERP systems, while also being able to communicate technical concepts in clear, business-friendly language. Key Responsibilities Develop innovative data solutions leveraging knowledge of Supply Chain processes and oil & gas industry value drivers. Design and optimize ETL pipelines for scalable, high-performance data processing. Integrate solutions with enterprise data platforms and visualization tools. Gather and clean data from ERP systems for analytics and reporting. Utilize AI tools and prompt engineering to enhance data-driven solutions. Collaborate with IT and business stakeholders to deliver medium and low-level solutions for local issues. Oversee project timelines, resources, and stakeholder engagement. Document project objectives, requirements, and progress updates. Translate technical language into clear, non-technical terms for business users. Support continuous improvement and innovation in data engineering and analytics. Basic / Required Qualifications Bachelor's degree in Commerce (SCM), Data Science, Engineering, or related field. Hands-on experience with: Python for data transformation. ETL tools (Power Automate, Power Apps; Databricks is a plus). Oracle Cloud (Supply Chain and Financial modules). Knowledge of ERP systems (Oracle Cloud required; SAP preferred). Familiarity with AI integration and low-code development platforms. Strong understanding of Supply Chain processes; oil & gas experience preferred. Ability to manage projects and engage stakeholders effectively. Excellent communication skills for translating technical concepts into business language. Required Knowledge / Skills / Abilities Advanced proficiency in data science concepts, including statistical analysis and machine learning. Experience with prompt engineering and AI-driven solutions. Ability to clean and transform data for analytics and reporting. Strong documentation, troubleshooting, and analytical skills. Business-focused mindset with technical expertise. Ability to think outside the box and propose innovative solutions. Special Job Characteristics Hybrid work schedule (Wednesdays and Fridays remote). Ability to work independently and oversee own projects.

THIS IS A W2 (NOT C2C OR REFERRAL BASED) CONTRACT OPPORTUNITY REMOTE MOSTLY WITH 1 DAY/MO ONSITE IN CINCINNATI-LOCAL CANDIDATES TAKE PREFERENCE RATE: $75-85/HR WITH BENEFITS We are seeking a highly skilled Data Architect to function in a consulting capacity to analyze, redesign, and optimize a Medical Payments client's environment. The ideal candidate will have deep expertise in SQL, Azure cloud services, and modern data architecture principles. Responsibilities Design and maintain scalable, secure, and high-performing data architectures. Lead migration and modernization projects in heavy use production systems. Develop and optimize data models, schemas, and integration strategies. Implement data governance, security, and compliance standards. Collaborate with business stakeholders to translate requirements into technical solutions. Ensure data quality, consistency, and accessibility across systems. Required Qualifications Bachelor's degree in Computer Science, Information Systems, or related field. Proven experience as a Data Architect or similar role. Strong proficiency in SQL (query optimization, stored procedures, indexing). Hands-on experience with Azure cloud services for data management and analytics. Knowledge of data modeling, ETL processes, and data warehousing concepts. Familiarity with security best practices and compliance frameworks. Preferred Skills Understanding of Electronic Health Records systems. Understanding of Big Data technologies and modern data platforms outside the scope of this project.

Headway's mission is a big one - to build a new mental health care system everyone can access. We've built technology that helps people find great therapists with the first software-enabled national network of providers accepting insurance. 1 in 4 people in the US have a treatable mental health condition, but the majority of providers don't accept insurance, making therapy too expensive for most people. Headway is building a new mental healthcare system that everyone can access by making it easy for therapists to accept insurance and scale their practice. Headway was founded in 2019. Since then, we've grown into a diverse, national network of over 60,000 mental healthcare providers across all 50 states who run their practice on our software and have served over 1 million patients. We're a Series D company with over $325m in funding from a16z (Andreessen Horowitz), Accel, GV (formerly Google Ventures), Spark Capital, Thrive Capital, Forerunner Ventures and Health Care Service Corporation. We want your time here to be the most meaningful experience of your career. Join us, and help change mental healthcare for the better. About the Team Our Ranking team's mission is to help every patient find the right provider for their needs. We are building the matching system that powers this connection, from search and discovery to ranking and personalization. Our goal is to combine cutting-edge machine learning with a deep understanding of patient and provider experience. About the Role We're looking for a Staff Data Scientist to advance how we connect patients with the right therapist. You will evaluate the product experience and underlying ML systems that help patients find their best-fit clinician. Your research will power our understanding of the matching performance and help us prioritize experiments to drive improvements. You will work closely with the engineering teams to turn your findings into concrete changes to the patient experience. This is an opportunity to bring both scientific rigor and empathy to a problem that truly matters - helping people access effective, personalized mental healthcare. What You'll Do Analyze and evaluate the performance of our search and ranking systems using offline and online metrics Develop frameworks to measure relevance, conversion signals, and long-term patient outcomes Conduct exploratory research to identify new search and ranking signals, along with opportunities for personalization Partner with ML engineers to translate research findings into production-ready models and features Collaborate with product, clinical, and engineering teams to define success metrics and guide experimentation. Clearly communicate findings, recommendations, and business implications to both technical and non-technical stakeholders What We're Looking For PhD or Master's degree in Statistics or a related quantitative field. 7+ years of experience in data science, applied machine learning, or a related field. Strong proficiency in Python, SQL, and experimentation/causal inference techniques. Direct experience with ranking, search, or recommendation systems (e.g., relevance modeling, click modeling, LTR methods). Comfort with ambiguous, open-ended research questions and the ability to translate findings into actionable insights. Excellent communication skills - able to explain complex ideas simply and build trust across teams. Passion for improving access to mental health care and advancing outcomes for patients. Nice to Have Experience with large-scale search or recommendation evaluation frameworks (e.g., NDCG, MAP, offline/online A/B testing). Familiarity with fairness or bias evaluation in ML systems. Compensation & Benefits: The expected base pay range for this position is $215,900 - $254,000, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for performance-based variable compensation and an equity grant, depending on the position and level. We are committed to offering a comprehensive and competitive total rewards package, including robust health and wellness benefits, retirement savings, and meaningful ownership opportunities through equity. Compensation decisions are made holistically, ensuring fairness and alignment with market benchmarks while recognizing individual contributions and potential. Benefits offered include: Equity compensation Medical, Dental, and Vision coverage HSA / FSA 401K Work-from-Home Stipend Therapy Reimbursement 16-week parental leave for eligible employees Carrot Fertility annual reimbursement and membership 13 paid holidays each year as well as a Holiday Break during the week between December 25th and December 31st Flexible PTO Employee Assistance Program (EAP) Training and professional development We believe a team's strength is in its people, and we cannot achieve this mission without a team that reflects the diversity of this problem - across race, ethnicity, gender, sexuality, age, national origin, religion, family status, disability, military status, and experience. Headway is committed to the full inclusion of all qualified individuals. As part of this commitment, Headway will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or receive other benefits and privileges of employment, please inform the recruiter when they contact you to schedule your interview. Headway participates in E-Verify. To learn more, click here.

) Type: Full-Time Exiger is seeking a Data Scientist with advanced expertise in machine learning, NLP/LLMs, and statistical modeling to drive mission-focused analytics in customs and trade enforcement. This role is ideal for an individual who thrives at the intersection of data science, compliance, and policy, and can apply technical innovation to strengthen enforcement, optimize tariff revenue, and mitigate supply chain risk. The Data Scientist will develop and operationalize predictive risk models, anomaly detection systems, and tariff analysis tools, working closely with AI Solutions Engineers to ensure seamless integration into customer environments. The individual will also design dashboards and visualizations, conduct econometric trade flow analysis, and present mission-ready insights to enforcement and compliance stakeholders-aligning advanced analytics with the operational goals of U.S. government partners. Responsibilities Develop and apply machine learning (ML) and natural language processing (NLP/LLM) models to support customer needs. Conduct statistical and econometric analysis of large-scale customs and trade datasets to identify anomalies, fraud risks, and tariff revenue optimization opportunities. Build predictive risk models to prioritize shipments for review based on compliance, diversion, or misclassification indicators. Perform tariff and trade flow analysis to support classification accuracy, customs valuation, and duty collection forecasting. Design and maintain dashboards, reports, and data visualizations to communicate findings to customers. Collaborate with AI Solutions Engineers to ensure analytical models are operationalized within customer systems and data pipelines. Present results and technical findings in clear, mission-focused language for enforcement, compliance, and policy stakeholders. Qualifications / Skills Advanced proficiency in Python (pandas, NumPy, scikit-learn, TensorFlow/PyTorch), SQL, and applied statistics. Strong background in machine learning, including anomaly detection, classification, clustering, and predictive analytics. Experience with LLMs (development, fine-tuning, applied use cases in classification and text analysis). Knowledge of tariff classification, customs valuation, origin determination, and the Harmonized Tariff Schedule (HTSUS). Understanding of transshipment rules, including substantial transformation, and ability to detect compliance risks in diverted/misclassified shipments. Familiarity with U.S. trade compliance frameworks. Proficiency in data visualization tools (Tableau, Power BI, matplotlib, seaborn) to deliver insights and decision support. Experience with large-scale datasets and integration with customer systems. Strong communication skills to translate complex analytical outputs into actionable insights for customers. Ability to work collaboratively with engineers, analysts, and mission operators to align data science outputs with operational enforcement goals. We're an amazing place to work. Why? Discretionary Time Off for all employees, with no maximum limits on time off Industry leading health, vision, and dental benefits Competitive compensation package 16 weeks of fully paid parental leave Flexible, hybrid approach to working from home and in the office where applicable Focus on wellness and employee health through stipends and dedicated wellness programming Purposeful career development programs with reimbursement provided for educational certifications #LI-Hybrid Exiger is revolutionizing the way corporations, government agencies and banks manage risk and compliance with a combination of technology-enabled and SaaS solutions. In recognition of the growing volume and complexity of data and regulation, Exiger is committed to creating a more sustainable risk and compliance environment through its holistic and innovative approach to problem solving. Exiger's mission to make the world a safer place to do business drives its award-winning AI technology platform, DDIQ, built to anticipate the market's most pressing needs related to evolving ESG, cyber, financial crime, third-party and supply chain risk. Exiger has won 30+ AI, RegTech and Supply Chain partner awards. Exiger's core values are courage, excellence, expertise, innovation, integrity, teamwork and trust. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. Exiger's hybrid work policy is periodically reviewed and adjusted to align with evolving business needs.

Scientist I Analysis of Alzheimers Disease Multiomics Data Human Cell Types The mission of the Allen Institute is to understand the principles that govern life, and to advance health. Our creative and multi-dimensional teams focus on answering some of the biggest questions in bioscience. We accelerate foundational research, catalyze bold ideas, develop tools and models, and openly share our science to make a broad, transformational impact on the world. The Seattle Alzheimers Disease Brain Cell Atlas (SEA-AD) consortium strives to achieve a deep molecular and cellular understanding of the early pathogenesis of Alzheimers disease (AD). Leveraging advances in quantitative neuropathology and next-generation single cell molecular profiling technologies we are generating large-scale data sets from well-characterized donors that span the spectrum of AD pathology to comprehensively map human brain cell types across aging and disease. These data along with tools for their use are made freely and publicly available. We seek to hire a Scientist to analyze and interpret these datasets, which will include heterogeneous donors spanning the variability seen in AD. The position will explore changes to cell types common across co-morbidities, sexes, races, and more using quantitative measures of neuropathology and whole genome sequencing generated data from each donor. This position will leverage existing computational tools and develop novel pipelines and approaches to analyze and interpret these data. This position will collaborate with a dynamic team of quantitative and experimental scientists to build a quantitative framework for how and how consistently cell types are impacted in AD, with a goal of identifying common signatures of early Alzheimers disease. At the Allen Institute, we believe that science is for everyone and should be open to everyone. We are dedicated to combating biases and reducing barriers to STEM careers more broadly. We also believe that science is better when it includes different perspectives and voices. We strive to make the Allen Institute a place where everyone feels like they belong and are empowered to do their best work in a supportive environment. We are an equal-opportunity employer and strongly encourage people from all backgrounds to apply for our open positions. Essential Functions * Adapt existing or develop novel computational tools to rigorously quantify changes in cell types in Alzheimers disease across community datasets * Associate gene expression and chromatin accessibility changes with relevant and available donor metadata or secondary data types (e.g. structural imaging or blood biomarkers) * Compare cell type changes across disease progression across axes of heterogeneity to identify common early changes that may inform biomarkers * Interact with scientists from diverse backgrounds and perspectives to design analytical approaches and refine computational strategies * Work with experimental scientists to design experiments to validate predictions of disease function * Participate in a highly interactive and multidisciplinary environment * Publish and present findings in peer-reviewed journals and scientific conferences Note: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This description reflects managements assignment of essential functions; it does not proscribe or restrict the tasks that may be assigned. Required Education and Experience * Ph.D. in Neuroscience, Computational Neuroscience, Computer Science, Applied Math, or related field; or equivalent combination of degree and experience * Fluency programming in Python in high performance computing * Fluency with version control systems (e.g. Git/Github) * Familiarity with analysis of RNA-sequencing or related data types Preferred Education and Experience * Experience with modeling disease or developmental trajectories, or related computational studies * Additional experience in computational analysis and statistical assessment of biological datasets in other modalities such as spatial statistics, ATAC-seq analysis, computational anatomy, or related fields * Previous work on studying Alzheimers disease or other neurodegenerative diseases * Familiarity with additional programming languages (e.g., R) * Experience with GPU-based deep learning * Ability to work effectively in a highly collaborative environment * Strong written and verbal communication skills * Ability to work independently and collaboratively * Strong publication track record Physical Demands * Occasional lifting up to 30 pounds (reference: a ream of paper weighs approx. 5lbs * Fine motor movements in fingers/hands to operate computers and other office equipment; repetitive motion with lab equipment Position Type/Expected Hours of Work * This role is currently able to work both remotely and onsite in a hybrid work environment. We are a Washington State employer, and the primary work location for all Allen Institute employees is 615 Westlake Ave N.; any remote work must be performed in Washington State. Travel * Occasional attendance and participation in national and international conferences Additional Comments * Please attach a cover letter with your application * Please note, this opportunity offers relocation assistance * Please note, this opportunity may offer visa sponsorship Annualized Salary Range $92,250 - $114,100 * * Final salary depends on the required education for the role, experience, level of skills relevant to the role, and work location, where applicable. Benefits Employees (and their families) are eligible to enroll in benefits per eligibility rules outlined in the Allen Institutes Benefits Guide. These benefits include medical, dental, vision, and basic life insurance. Employees are also eligible to enroll in the Allen Institutes 401k plan. Paid time off is also available as outlined in the Allen Institutes Benefits Guide. Details on the Allen Institutes benefits offering are located at the following link to the Benefits Guide:

) Type: Full-Time Exiger is seeking a Data Scientist with advanced expertise in machine learning, NLP/LLMs, and statistical modeling to drive mission-focused analytics in customs and trade enforcement. This role is ideal for an individual who thrives at the intersection of data science, compliance, and policy, and can apply technical innovation to strengthen enforcement, optimize tariff revenue, and mitigate supply chain risk. The Data Scientist will develop and operationalize predictive risk models, anomaly detection systems, and tariff analysis tools, working closely with AI Solutions Engineers to ensure seamless integration into customer environments. The individual will also design dashboards and visualizations, conduct econometric trade flow analysis, and present mission-ready insights to enforcement and compliance stakeholders-aligning advanced analytics with the operational goals of U.S. government partners. Responsibilities Develop and apply machine learning (ML) and natural language processing (NLP/LLM) models to support customer needs. Conduct statistical and econometric analysis of large-scale customs and trade datasets to identify anomalies, fraud risks, and tariff revenue optimization opportunities. Build predictive risk models to prioritize shipments for review based on compliance, diversion, or misclassification indicators. Perform tariff and trade flow analysis to support classification accuracy, customs valuation, and duty collection forecasting. Design and maintain dashboards, reports, and data visualizations to communicate findings to customers. Collaborate with AI Solutions Engineers to ensure analytical models are operationalized within customer systems and data pipelines. Present results and technical findings in clear, mission-focused language for enforcement, compliance, and policy stakeholders. Qualifications / Skills Advanced proficiency in Python (pandas, NumPy, scikit-learn, TensorFlow/PyTorch), SQL, and applied statistics. Strong background in machine learning, including anomaly detection, classification, clustering, and predictive analytics. Experience with LLMs (development, fine-tuning, applied use cases in classification and text analysis). Knowledge of tariff classification, customs valuation, origin determination, and the Harmonized Tariff Schedule (HTSUS). Understanding of transshipment rules, including substantial transformation, and ability to detect compliance risks in diverted/misclassified shipments. Familiarity with U.S. trade compliance frameworks. Proficiency in data visualization tools (Tableau, Power BI, matplotlib, seaborn) to deliver insights and decision support. Experience with large-scale datasets and integration with customer systems. Strong communication skills to translate complex analytical outputs into actionable insights for customers. Ability to work collaboratively with engineers, analysts, and mission operators to align data science outputs with operational enforcement goals. We're an amazing place to work. Why? Discretionary Time Off for all employees, with no maximum limits on time off Industry leading health, vision, and dental benefits Competitive compensation package 16 weeks of fully paid parental leave Flexible, hybrid approach to working from home and in the office where applicable Focus on wellness and employee health through stipends and dedicated wellness programming Purposeful career development programs with reimbursement provided for educational certifications #LI-Hybrid Exiger is revolutionizing the way corporations, government agencies and banks manage risk and compliance with a combination of technology-enabled and SaaS solutions. In recognition of the growing volume and complexity of data and regulation, Exiger is committed to creating a more sustainable risk and compliance environment through its holistic and innovative approach to problem solving. Exiger's mission to make the world a safer place to do business drives its award-winning AI technology platform, DDIQ, built to anticipate the market's most pressing needs related to evolving ESG, cyber, financial crime, third-party and supply chain risk. Exiger has won 30+ AI, RegTech and Supply Chain partner awards. Exiger's core values are courage, excellence, expertise, innovation, integrity, teamwork and trust. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. Exiger's hybrid work policy is periodically reviewed and adjusted to align with evolving business needs.

JOB TITLE: Data Scientist DIVISION/DEPARTMENT: Data Scientist REPORTS TO: Principal Consultant FLSA STATUS:1099 Independent Contractor EXPECTED DURATION: February 1, 2026 to November 1, 2026 Objective The Data Scientist will apply statistical methods, programming skills, and domain knowledge to extract actionable insights from complex datasets. This is a supportive role working closely with a PhD-level Lead Data Scientist to assist with all elements of the data lifecycle-from structuring and analysis to model development and visualization tool creation. Assist in creating an opioid-approved research data model for the state of Florida. Responsibilities include data structuring and cleaning, supporting predictive model development, and building visualization tools using R Shiny. Key Responsibilities The Data Scientist will: * Assist Lead Data Scientist with data structuring and cleaning complex health datasets. * Support data analysis and predictive modeling using Bayesian methods, Random Forest, etc. * Develop and maintain data visualization tools using R Shiny for stakeholder consumption. * Collaborate on model documentation and interpretation of results. * Ensure compliance with data security and confidentiality protocols. Education & Certifications * Master's degree or higher in a quantitative field (e.g., Statistics, Data Science) or equivalent experience. * Must pass CITI certification and other required trainings for handling sensitive health data. Knowledge & Experience * Proficiency in R and R Shiny; experience with GitHub and CI/CD principles. * Familiarity with Microsoft Azure services and strong database management skills. * Understanding Bayesian modeling, machine learning, and AI methodologies. * Experience in a college or university context required; public health or epidemiological data experience preferred. Skills & Abilities * Strong analytical and problem-solving skills. * Ability to communicate technical results clearly in writing. * Attention to detail and adherence to open science frameworks. * Ability to work independently and meet deadlines in a remote setting. Compensation & work arrangement * Pay Structure: 1099 Independent Contractor * Payment Basis: Hourly, paid monthly * Work Arrangement: Fully remote; must be available for meetings 8:00 AM - 5:00 PM ET, Monday-Friday. Requiring approximately 20-30 hours per week Acknowledgement * Candidates must provide a detailed summary of past relevant projects and a writing sample demonstrating ability to communicate technical results clearly.

Who We Are Independent for over 75 years, Milliman delivers market-leading services and solutions to clients worldwide. Today, we are helping companies take on some of the world's most critical and complex issues, including retirement funding and healthcare financing, risk management and regulatory compliance, data analytics and business transformation. Milliman invests in skills training and career development, and gives all employees access to a variety of learning and mentoring opportunities. Our growing number of Milliman Employee Resource Groups (ERG's) are employee-led communities that influence policy decisions, develop future leaders, and amplify the voices of their constituents. We encourage our employees to give back to their varied professions, including leadership in professional organizations. Please visit our web site to learn more about Milliman's commitments to our people, diversity and inclusion, social impact and sustainability: ***************************************** The San Francisco Tri-State Property and Casualty practice, comprised of about 50 employees, represents a wide range of expertise, with abundant opportunities to develop and apply actuarial and complementary skills such as data science and geospatial analysis. Our cross-disciplinary team applies advanced actuarial and other analysis techniques and geospatial technology to develop innovative insurance products for traditional and start-up insurers, as well as the associated state regulatory rate filing support. We are thought leaders in climate change, artificial intelligence, telematics, and other leading-edge research. We work on some of today's most important insurance problems, including modernizing flood insurance and addressing wildfire risk. Project assignments and internal interest groups give all of our staff the opportunity to collaborate and contribute across the practice. What You Will Do As a Data Scientist with our practice, you'll leverage your programing expertise and along with your data science and insurance industry knowledge to deliver high-quality analytical and modeling solutions for our client engagements. You'll process, visualize, and analyze diverse data sets, from telematics and insurance claims data to catastrophe models and climate variables, using Python, R, and/or SAS. While a majority of your work will focus on traditional property and casualty insurance analytics, you'll also take part in projects exploring the impacts of climate change and natural catastrophes on other industries and broader economic trends. Key Responsibilities: Manipulate, summarize, and validate large datasets for accuracy and consistency using statistical programming languages Build risk scores using geospatial, climate, and other contextual data Develop predictive models using linear and non-linear methods Contribute to ETL processes in support of client engagements, product development, and internal research Participate in checking and peer review of the work product of other data scientists and analysts Assist peers and project managers in scoping out new projects or opportunities Draft clear, professional reports and exhibits for internal and external audiences What We Are Looking For Professional Qualifications Completed Bachelor's degree or higher, including quantitative coursework in data science, data engineering, mathematics, statistics, computer science, etc. At least one year of relevant professional experience with demonstrable quantitative and data-driven work, such as property and casualty insurance, natural catastrophe modeling, climate risk, or related fields Advanced programming experience in SAS, R, or Python for data manipulation, analytics, and modeling Substantial expertise with MS Excel, PowerPoint, Teams, Outlook, and Word Understanding of relational database concepts Able and willing to obtain and maintain a U.S. Government-issued Public Trust security clearance Individual(s) must be legally authorized to work in the United States without the need for immigration support or sponsorship from Milliman, now or in the future. Personal Attributes Intellectual curiosity about risk, insurance, and emerging threats Inspired to contribute to the success of a project and succeed as a team Proactively seeks out possible solutions to a problem Able to work effectively in remote teams, across time zones Strong critical thinking, technical, and analytical skills Commitment to producing accurate, high-quality work Excellent communication skills - able to clearly articulate complex ideas and solutions Preferred Qualifications Three or more years of relevant professional experience Strong understanding of climate data sets, geographic information systems (GIS), statistics, regression models, and insurance analytics Experience with data visualization tools such as PowerBI, Tableau Location This is a remote position, based in the United States. Candidates hired into this role may work onsite in select Milliman office locations, if they prefer (though no relocation assistance will be available). Occasional work-related travel may be required for practice meetings, company events, industry conferences, etc. The expected application deadline for this job is October 31, 2025. Compensation The overall salary range for this role is $65,200 - $151,440. A combination of factors will be considered, including, but not limited to, education, relevant work experience, qualifications, skills, certifications, etc. For candidates residing in: Alaska, California, Connecticut, Illinois, Maryland, Massachusetts, New Jersey, Pennsylvania, Virginia, Washington, or the District of Columbia: $71,720 - $114,620 if overall experience is less than 5 years; and $86,680 - $138,820 for experience greater than 5 years New York City, Newark, San Jose, or San Francisco: $78,240 - $125,040 if overall experience is less than 5 years; and $94,560 - $151,440 for experience greater than 5 years All other states: $65,200 - $104,200 if overall experience is less than 5 years; and $78,800 - $126,200 for experience greater than 5 years Milliman Benefits We offer a comprehensive benefits package designed to support employees' health, financial security, and well-being. Benefits include: Medical, Dental and Vision - Coverage for employees, dependents, and domestic partners. Employee Assistance Program (EAP) - Confidential support for personal and work-related challenges. 401(k) Plan - Includes a company matching program and profit-sharing contributions. Discretionary Bonus Program - Recognizing employee contributions. Flexible Spending Accounts (FSA) - Pre-tax savings for dependent care, transportation, and eligible medical expenses. Paid Time Off (PTO) - Begins accruing on the first day of work. Full-time employees accrue 15 days per year, and employees working less than full-time accrue PTO on a prorated basis. Holidays - A minimum of 10 paid holidays per year. Family Building Benefits - Includes adoption and fertility assistance. Paid Parental Leave - Up to 12 weeks of paid leave for employees who meet eligibility criteria. Life Insurance & AD&D - 100% of premiums covered by Milliman. Short-Term and Long-Term Disability - Fully paid by Milliman. Equal Opportunity All qualified applicants will receive consideration for employment, without regard to race, color, religion, sex, sexual orientation, national origin, disability, or status as a protected veteran. #LI-LS1 #LI-Remote

The Role We are looking for a Data Scientist who can leverage statistical tools, deep learning, and troves of marketing data to build innovative, reproducible data solutions for our teams and clients. In this role, you'll partner cross-functionally with Data Strategy, Engineering, Product, and Reporting Solutions to design machine learning workflows and statistical models that extract key insights from troves of marketing data. You may also work directly with clients to build them elegant solutions to their marketing problems. Your solutions will scale as productized apps used by our industry-leading marketers to unlock new performance opportunities for our clients. You will have the opportunity to challenge the limits of what's possible with data science and performance marketing, designing novel solutions through Time Series Analysis, Experimental Design, A/B Testing, Optimization, Reinforcement Learning, LLMs, etc. At Wpromote, we believe that great work is only possible with great people. Our goal is to build a better, more inclusive work environment and support our people at every stage of their careers by prioritizing a strong work-life balance through our policies and benefits listed below. As a Best Place to Work according to both Ad Age and Glassdoor and Adweek's Fastest Growing Digital Agency, we are moving fast to expand our teams and bring new experts into the fold to keep pushing the boundaries of what's possible in marketing. We offer: -Remote-first culture-Unlimited PTO-Extended Holiday break (Winter)-Flexible schedules-Work from anywhere options*-100% paid parental leave-401(k) matching-Medical, Dental, Vision, Life, Pet Insurance-Sponsored life insurance-Short Term Disability insurance and additional voluntary insurance-Annual Class Pass credits and more! The anticipated annual salary for this role will range from $120,000 - $135,000, based on consideration of a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, education and certifications, competitive benchmarks, scope of responsibility, market dynamics, geographic location, and respective state's salary threshold for exempt employees. The total compensation package for this role will include benefits (listed above) and an annual performance bonus. This role has an associated annual target bonus component which is paid out based on a number of factors which include Company performance, department performance, and individual performance. Bonuses are not guaranteed and you must be an active employee in good standing and not on a Performance Improvement Plan to be eligible for the annual bonus. *This position may be performed remotely in most states within the US, with some exclusions**While this role offers the flexibility to work remotely, we have office hubs in Los Angeles, Chicago, and New York, where you can join in on learning and development opportunities, fun events, take advantage of a space to work, and collaborate in person!***This position is not eligible for immigration sponsorship Important Notice: Beware of Job Scams Wpromote recruiting communications will only be sent through our official channels via wpromote.com email addresses. If you see a posting elsewhere that is not reflected on Wpromote.com/careers, it may be a fraudulent posting. We do not require payment or fees during the hiring process nor do we request sensitive information, such as Social Security numbers or payment details. Please safeguard yourself against possible scams and contact us if you encounter any suspicious activity. #LI-JJ#LI-RemoteYou Will Be Working closely with Product Development to identify high-impact business problems that can be solved through data science and machine learning methods Designing, prototyping, and testing new products and data solutions Developing scalable, efficient, and automated workflows capable of analyzing large volumes of data from various sources Conducting incrementality tests and building Media Mix Models (MMMs) Integrating scalable workflows into production environments by collaborating with software engineers Maintaining data science and machine learning workflows by fixing bugs or improving model performance as needed Articulating complex technical results and methodologies to internal stakeholders Joining client meetings as needed to understand client data problems and propose innovative solutions Proactively identifying issues, raising them to the team, and proposing and implementing effective solutions You Must Have Degree in Computer Science, Engineering, Statistics, Economics, or a related quantitative discipline preferred M.S. + 2 years of experience, or B.S. + 4 years of relevant experience Strong programming skills in R, Python, and SQL Professional experience within the digital advertising or MarTech field Demonstrated success delivering data-driven products, including involvement across the full product development lifecycle Deep understanding of statistical modeling and machine learning techniques Experience with A/B testing (preferably geo-holdouts) and Media Mix Models (MMMs) Strong working knowledge of large datasets, preferably within the digital marketing domain Experience with cloud OLAP database platforms such as BigQuery and Snowflake Strong communication skills with both technical and non-technical audiences Ability to go beyond familiar algorithms and proactively explore new methodologies to solve business challenges Genuine interest in contributing to a data-driven future in digital marketing within a fast-growing organization Nice To Have Solid knowledge of working with marketing and/or user acquisition data across a variety of industries Working experience in developing and deploying to cloud providers such as AWS and Google Cloud Platform An understanding of state-of-the-art machine learning algorithms and packages Understanding of path, market basket, and clean room analyses Familiarity with CI/CD and MLOps practices Wpromote is committed to bringing together individuals from different backgrounds and perspectives, providing employees with a safe and welcoming environment free of discrimination and harassment. We strive to create a diverse & inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability*, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace. Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Wpromote. This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9. For more information on E Verify, or if you believe that your employer has violated its E-Verify responsibilities, please contact DHS.

At Liaison, we've helped higher education institutions build better, more diverse classes for three decades. You may recognize us as the company behind the Centralized Application Service (CAS), Enrollment Marketing services and platform (EMP), SlideRoom, Time2Track, TargetX (CRM) and Othot. Everything we do is focused on taking that proven success and expanding its scope and scale. Over 31,000 programs on more than 1,000 campuses see us as a forward-thinking partner integral to meeting their total enrollment goals - and we're building the data- and mission-driven team that will reinforce our role for decades to come. Othot, a Liaison Company, a leader in artificial intelligence and analytics in higher education, partners with institutions to improve enrollment, retention, and student success on campuses across the United States. Our team thrives on innovation and collaboration to deliver predictive and prescriptive analytics models to our partner institutions. Othot's cloud-based solution provides continuous intelligence in real time and empowers schools to engage each prospective, current, and former student with the right tactic at the right time. As part of the Data Science team, the Data Scientist works closely with colleagues and clients to design, build, and maintain predictive models that power institutional insights. This individual will be integrated into a team where they will work on challenging projects to enhance our modeling approaches, improve internal tooling, and provide institutions with actionable intelligence to support enrollment and student success. Responsibilities: Build, update, and maintain predictive machine learning models for higher education institutions in collaboration with the Data Curation team Utilize Python and internal testing frameworks to identify improvements to modeling heuristics, validate outputs, and implement enhancements at scale Perform client-specific analyses and provide actionable recommendations based on predictive results Translate technical findings into clear, meaningful insights for stakeholders (both written and verbally) Review and monitor client data updates to ensure accuracy of predictions Collaborate with product, client success, and sales teams to align data science work with institutional and business goals Research and explore emerging AI/ML technologies to identify opportunities for incorporating advancements into the pipeline Automate or help automate as many manual data and modeling related activities as possible Demonstrate a curious, growth-oriented mindset with a drive to experiment, learn, and continuously improve Requirements: Education Bachelor's degree in math, computer science, business analytics and information systems or another relevant field required (advanced degree preferred). Demonstrated related experience may substitute for preferred education. Technical Aptitude and Knowledge Proficiency in Python for data analysis, machine learning, and feature engineering Experience with a variety of machine learning algorithms and model evaluation techniques Familiarity with version control (Git/GitHub) and collaborative coding practices Ability to learn and apply new technologies, frameworks, and tools quickly Client-Focused Communication Ability to translate technical findings into client-friendly insights both verbally and in writing Experience collaborating directly with stakeholders to set expectations and explain modeling approaches Team Player Attitude and Collaboration Willingness to assist other team members and drive innovation to improve personal and team-wide efficiency and growth Demonstrated interest in pursuing knowledge and collaborating across Othot and Liaison teams Analytical Thinking and Problem Solving Proven success in independently troubleshooting and resolving modeling and data-related issues Strong methodological approach to debugging, model validation, and root cause analysis Time/Project Management Skills Capacity to manage multiple projects or tasks at once including setting and communicating appropriate timelines, prioritization, and risk or updates throughout the life of the project Efficiency mindset to deliver high-quality results in a scalable, effective way Work Quality and Accountability Desire to deliver outputs/deliverables with accuracy and attention to detail Willingness to take full responsibility and accountability for all assigned clients and outputs Privacy Policy | GDPR | CCPA Compliance

The Role Wpromote is hiring a Junior Data Scientist who loves solving problems with data and has strong math, logic, and communication skills. In this role, you'll support data processing, model updates, and analytics reporting while learning advanced techniques that will grow your impact over time. You'll collaborate with teams across Engineering, Reporting, Product, Paid Media, and Data Science, working with exciting clients in e-commerce, retail, and entertainment. If you're detail-oriented, eager to learn, and ready to turn data into meaningful insights, we want to hear from you! At Wpromote, we believe that great work is only possible with great people. Our goal is to build a better, more inclusive work environment and support our people at every stage of their careers by prioritizing a strong work-life balance through our policies and benefits listed below. As a Best Place to Work according to both Ad Age and Glassdoor and Adweek's Fastest Growing Digital Agency, we are moving fast to expand our teams and bring new experts into the fold to keep pushing the boundaries of what's possible in marketing. We offer: -Half-day Fridays year round-Unlimited PTO-Extended Holiday break (Winter)-Flexible schedules-Work from anywhere options*-100% paid parental leave-401(k) matching-Medical, Dental, Vision, Life, Pet Insurance-Sponsored life insurance-Short Term Disability insurance and additional voluntary insurance-Annual Class Pass Credits and more! The anticipated annual salary for this role will range from $88,000 - $100,000, based on a variety of factors unique to each candidate, including skill set, years and depth of experience, education and certifications, competitive benchmarks, scope of responsibility, market dynamics, geographic location, and the respective state's salary threshold for exempt employees. At Wpromote, pay ranges are subject to change and are based on specific market medians for similar jobs according to third-party salary benchmark surveys. Individual pay within that range can vary due to skills, experience, and available budget. The total compensation package for this role will include benefits (listed above). *This position may be performed remotely in most states within the US, with some exclusions**While this role offers the flexibility to work remotely, we have office hubs in Los Angeles, Chicago, and New York, where you can join in on learning and development opportunities, fun events, take advantage of a space to work, and collaborate in person!***This position is not eligible for immigration sponsorship Important Notice: Beware of Job ScamsWpromote recruiting communications will only be sent through our official channels via wpromote.com email addresses. If you see a posting elsewhere that is not reflected on Wpromote.com/careers, it may be a fraudulent posting. We do not require payment or fees during the hiring process nor do we request sensitive information, such as Social Security numbers or payment details. Please safeguard yourself against possible scams and contact us if you encounter any suspicious activity. #LI-JJ#LI-RemoteYou Will Be Learning to transform, improve, and integrate data according to business requirements Planning and scoping end-to-end data analysis projects by identifying the business problem and selecting appropriate investigative tests and solutions Using SQL and BigQuery to combine and prepare datasets from multiple sources Delivering data in a clear, useful, and visually appealing way to both technical and non-technical audiences Maintaining existing media-mix models through directed retrains and reporting on performance changes Organizing and collecting results from media-mix models, incrementality tests, clean rooms, and related analyses to support Wpromote's culture of learning Conducting guided marketing analyses to support client and internal needs Supporting presentations through data pulls, ad-hoc analyses, and slide creation Learning to automate data gathering, blending, and transformation processes Collaborating across Engineering, Reporting, Product, Paid Media, and Data Science teams to understand and support client needs You Must Have Intermediate programming skills in R or Python for data cleaning, data modeling, pipeline development, API calls, and related tasks Experience with statistical modeling, machine learning techniques, and LLMs Intermediate SQL skills, including window functions, stored procedures, views, triggers, unions, CTEs, subqueries, and debugging Advanced proficiency in Excel and/or Google Sheets Experience with at least one BI platform (Looker, Tableau, Power BI, etc.) with the ability to learn others; Looker preferred Experience or familiarity with version control tools such as Git or Bitbucket Strong organizational skills with the ability to balance competing client requests and work with complex datasets while maintaining accuracy and meeting deadlines Intermediate to advanced competency in statistics, probability, and linear algebra Strong communication skills, including experience creating and delivering presentations and executive summaries Demonstrated critical thinking skills-the ability to analyze numbers, trends, and data to form meaningful insights Interest or passion for marketing analytics and/or a personal project portfolio Associate's degree, bootcamp certification, or practical work experience in a quantitative field (Statistics, Mathematics, Computer Science, Information Technology, Economics, Engineering, etc.) Nice To Have Bachelor's degree or higher in a quantitative field Exposure to marketing analyses such as media-mix models (MMM), incrementality testing, CAC, and lead scoring Experience with analytics software, such as Google Analytics and Adobe Analytics Familiarity with clean room environments (FBAA, AMC, Google ADH) Experience with cloud computing (AWS, GCP, Azure, etc.) Wpromote is committed to bringing together individuals from different backgrounds and perspectives, providing employees with a safe and welcoming environment free of discrimination and harassment. We strive to create a diverse & inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability*, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace. Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Wpromote. This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9. For more information on E Verify, or if you believe that your employer has violated its E-Verify responsibilities, please contact DHS.

Counterpart is a modern management & professional liability insurance platform for the 21st century workplace. platform for the 21st century workplace. We offer products and services to help companies align the risks and incentives of creating great organizations. Our platform is designed to measure risk more efficiently using the most advanced rating system in the industry, while also proactively mitigating the risks of our insureds. Ultimately, we provide businesses with the framework to be the best versions of themselves. That's where you come in. As a Data Scientist, you will balance being a prolific individual contributor to our pipelines, tables, and models while steering the development of our products and services through the development, maintenance, and application of data. You will help bridge the gap between Engineering & Business with insights while driving the development of our data services. AS A DATA SCIENTIST YOU WILL: Collaborate with insurance domain experts and engineering team members to predict insurance claims based on hundreds of different variables using sophisticated data science techniques. Support the production of new data sources (e.g. web scraping, public/private APIs,) in a manner that minimizes development cycles while maximizing potential business applications. Continuously challenge how we can improve our underwriting while reducing the number of questions that need to be answered in an application. Maintain a clean production environment such that the data models can be easily interpreted and built upon by other data science and engineering team members. Present your work, findings, and opinions to both technical and non-technical stakeholders. Build and support a team of data scientists and analysts to accelerate our learnings and elevate our product offerings. WE LOOK FOR TEAMMATES WHO HAVE: Bachelor/Master in quantitative discipline (computer science, mathematics, statistics, economics, physics, engineering or related field). 3+ years of experience as a data scientist, data analyst or machine learning Experience training machine learning models that have been deployed to execute business decisions 5+ years experience with Python, including the typical data science stack (pandas, scikit-learn, numpy, scipy, Jupyter, etc) Strong understanding of data science metrics and methodologies for measuring model performance Experience tracking model performance in production Comfortable building clean, repeatable experiments in a notebook environment Communications skills for translating technical or statistical analysis results into business recommendations. Familiarity with the tradeoffs of scaling data infrastructure and database systems. Bias to practical action and creativity using data (we value past or present projects that support this). WHO YOU WILL WORK WITH: Elizabeth Barsalou, Manager Data Scientist: Before joining Counterpart, Elizabeth worked as a full stack data scientist in small business lending for Kabbage and BHG. She specialized in building data science models, infrastructure and strategies to extend credit to small businesses. She lives in New York and spends her free time singing opera and playing with her dog. Stanley Wang, Director, Pricing Analytics: Before joining Counterpart, Stanley worked as an actuary within the pricing solutions and methods team at USAA to combine actuarial pricing with data science models. Before that, he was a leading data scientist for Digital Partners, a Munich Re Company where he specialized in building data science models and insights for leading insurtech companies. He has had many other relevant roles such as capital modeling, risk management etc. He lives in New York with his growing family. Newton Troung, Lead Data Engineer: Newton has almost a decade of experience in platform and data engineering. In his last company Thrive Market, he had a hand in building out new microservices and architecting data pipelines with Airflow and Spark. He's vegetarian and loves trying new restaurants when traveling. Nowadays he's busy keeping up with his 2-year-old and doing outdoor activities with his family. COUNTERPART'S VALUES Conjoin Expectations - it is the cornerstone of autonomy. Ensure you are aware of what is expected of you and clearly articulate what you expect of others. Speak Boldly & Honestly - the only failure is not learning from mistakes. Don't cheat yourself and your colleagues of the feedback needed when expectations aren't being met. Be Entrepreneurial - control your own destiny. Embrace action over perfection while navigating any obstacles that stand in the way of your ultimate goal. Practice Omotenashi (“selfless hospitality”) - trust will follow. Consider every interaction with internal and external partners an opportunity to develop trust by going above and beyond what is expected. Hold Nothing As Sacred - create routines but modify them routinely. Take the time to reflect on where the business is today, where it needs to go, and what you have to change in order to get there. Prioritize Wellness - some things should never be sacrificed. We create an environment that stretches everyone to grow WE OFFER Work from Anywhere - Counterpart is a fully distributed company, meaning there is no office. We allow employees to work from wherever they do their best work, of course prioritizing meetings that often happen in US time zones. Language Classes - We sponsor up to $100 per calendar year to be used towards language classes to help support your English language skills. Paid Vacation and Time Off Parental Leave - Development Partners will be eligible for unpaid Parental Leave to bond with a newborn, newly-adopted, or newly placed child. Under this policy, development partners and independent contractors will be eligible for up to 8 weeks of unpaid parental leave. Any time off will be subject to approval and must be requested at least 45 days in advance. Computer - We reimburse you for your locally procured Macbook Pro. If you are still with the company after one year, it is yours to keep! Our estimated pay range for this role is USD $70,000 - $80,000 annually. Contractor compensation is determined by a variety of factors, including but not limited to, market data, location, internal equitability, and experience. We are committed to being a welcoming and inclusive workplace for everyone, and we are intentional about making sure people feel respected, supported and connected at work-regardless of who you are or where you come from. We value and celebrate our differences and we believe being open about who we are allows us to do the best work of our lives. We are an Equal Opportunity Employer. We do not discriminate against qualified applicants or employees on the basis of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by federal, state, or local law, rule, or regulation.

Headway's mission is a big one - to build a new mental health care system everyone can access. We've built technology that helps people find great therapists with the first software-enabled national network of providers accepting insurance. 1 in 4 people in the US have a treatable mental health condition, but the majority of providers don't accept insurance, making therapy too expensive for most people. Headway is building a new mental healthcare system that everyone can access by making it easy for therapists to accept insurance and scale their practice. Headway was founded in 2019. Since then, we've grown into a diverse, national network of over 60,000 mental healthcare providers across all 50 states who run their practice on our software and have served over 1 million patients. We're a Series D company with over $325m in funding from a16z (Andreessen Horowitz), Accel, GV (formerly Google Ventures), Spark Capital, Thrive Capital, Forerunner Ventures and Health Care Service Corporation. We want your time here to be the most meaningful experience of your career. Join us, and help change mental healthcare for the better. About the Team Our Ranking team's mission is to help every patient find the right provider for their needs. We are building the matching system that powers this connection, from search and discovery to ranking and personalization. Our goal is to combine cutting-edge machine learning with a deep understanding of patient and provider experience. About the Role We're looking for a Staff Data Scientist to advance how we connect patients with the right therapist. You will evaluate the product experience and underlying ML systems that help patients find their best-fit clinician. Your research will power our understanding of the matching performance and help us prioritize experiments to drive improvements. You will work closely with the engineering teams to turn your findings into concrete changes to the patient experience. This is an opportunity to bring both scientific rigor and empathy to a problem that truly matters - helping people access effective, personalized mental healthcare. What You'll Do Analyze and evaluate the performance of our search and ranking systems using offline and online metrics Develop frameworks to measure relevance, conversion signals, and long-term patient outcomes Conduct exploratory research to identify new search and ranking signals, along with opportunities for personalization Partner with ML engineers to translate research findings into production-ready models and features Collaborate with product, clinical, and engineering teams to define success metrics and guide experimentation. Clearly communicate findings, recommendations, and business implications to both technical and non-technical stakeholders What We're Looking For PhD or Master's degree in Statistics or a related quantitative field. 7+ years of experience in data science, applied machine learning, or a related field. Strong proficiency in Python, SQL, and experimentation/causal inference techniques. Direct experience with ranking, search, or recommendation systems (e.g., relevance modeling, click modeling, LTR methods). Comfort with ambiguous, open-ended research questions and the ability to translate findings into actionable insights. Excellent communication skills - able to explain complex ideas simply and build trust across teams. Passion for improving access to mental health care and advancing outcomes for patients. Nice to Have Experience with large-scale search or recommendation evaluation frameworks (e.g., NDCG, MAP, offline/online A/B testing). Familiarity with fairness or bias evaluation in ML systems. Compensation & Benefits: The expected base pay range for this position is $215,900 - $254,000, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for performance-based variable compensation and an equity grant, depending on the position and level. We are committed to offering a comprehensive and competitive total rewards package, including robust health and wellness benefits, retirement savings, and meaningful ownership opportunities through equity. Compensation decisions are made holistically, ensuring fairness and alignment with market benchmarks while recognizing individual contributions and potential. Benefits offered include: Equity compensation Medical, Dental, and Vision coverage HSA / FSA 401K Work-from-Home Stipend Therapy Reimbursement 16-week parental leave for eligible employees Carrot Fertility annual reimbursement and membership 13 paid holidays each year as well as a Holiday Break during the week between December 25th and December 31st Flexible PTO Employee Assistance Program (EAP) Training and professional development We believe a team's strength is in its people, and we cannot achieve this mission without a team that reflects the diversity of this problem - across race, ethnicity, gender, sexuality, age, national origin, religion, family status, disability, military status, and experience. Headway is committed to the full inclusion of all qualified individuals. As part of this commitment, Headway will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or receive other benefits and privileges of employment, please inform the recruiter when they contact you to schedule your interview. Headway participates in E-Verify. To learn more, click here.

What We Do Milliman IntelliScript is a group of a few hundred experts in fields ranging from actuarial science to information technology to clinical practice. Together, we develop and deploy category-defining, data-driven, software-as-a-service (SaaS) products for a broad spectrum of insurance, health IT and life sciences clients. We are a business unit within Milliman, Inc., a respected consultancy with offices around the world. Candidates who have their pick of jobs are drawn to IntelliScript's entrepreneurial and collaborative culture of innovation, excellence, exceptional customer service, balance, and transparency. Every single person has a voice in our company, and we challenge each other to push the outer limits of our full, diverse potential. And, we've shown sustained growth that ensures you'll have room to grow your skillset, responsibilities, and career. Our team is smart, down-to-earth, and ready to listen to your best ideas. We reward excellence and offer competitive compensation and benefits. Visit our LinkedIn page for a closer look at our company, and learn more about our cultural values here. Milliman invests in skills training and career development and gives all employees access to a variety of learning and mentoring opportunities. Our growing number of Milliman Employee Resource Groups (ERGs) are employee-led communities that influence policy decisions, develop future leaders, and amplify the voices of their constituents. We encourage our employees to give back to their varied professions, including leadership in professional organizations. Please visit our website to learn more about Milliman's commitments to our people, diversity and inclusion, social impact, and sustainability. What this position entails Milliman, Inc. is recognized as a top firm that provides data, products, and professional services to the insurance industry. IntelliScript is a practice within Milliman that provides health and life insurers with real-time data and underwriting decision support tools via software-as-a-service (SaaS). IntelliScript offers an innovative suite of products which interpret and deliver electronic medical data (such as prescription histories, diagnoses, treatment data, etc.) to help our clients make effective underwriting and pricing decisions. Our company offers a unique entrepreneurial culture that also promotes work / life balance. IntelliScript has enjoyed consistent growth and is the leader in the markets we serve, where our scoring products are industry standards. The Lead Data Scientist will be integral as we continue to bring innovative new products to market in response to client needs and opportunities. The Lead Data Scientist will build upon their data science, machine learning, and/or GenAI and Natural Language Processing (NLP) expertise to develop intimate knowledge of our current product capabilities and provide advanced analytical expertise to enhance these products through new solutions. Projects will include construction, validation, documentation and delivery of sophisticated GenAI and machine learning solutions for a variety of healthcare-related problems. What you will be doing The key area of responsibility in the role of Lead Data Scientist is to work in conjunction with our business development and product teams to develop and implement commercially viable model-based solutions to the healthcare, insurance, life sciences and adjacent markets. Research, develop, deploy, and maintain traditional AI/ML models following industry best practices Work extensively with available GenAI models; construct exciting solutions to internal and external use cases across markets and enhance our internal capabilities through centralized internal tooling and thought leadership Coordinate with Product, Business Development, ML Engineering, and IT to bring new and exciting data science products to market, as well as support existing industry leading products Help drive best practices and continuous improvement on the data science team; influencing model design and experimentation strategy through planning, audit, peer review, and other coaching What we need 7+ years of professional experience using AI/ML to create high return on investment commercial data science solutions Expert data scientist with demonstrated expertise in at least one core area of AI/ML and strong working knowledge across others, including supervised and unsupervised learning, model validation, deep learning architectures, and NLP algorithms. Supervised Learning: Linear/logistic regression, decision trees, random forests, gradient boosting (XGBoost, LightGBM, CatBoost), and ensemble methods Unsupervised Learning: K-means clustering, hierarchical clustering, PCA, and anomaly detection algorithms Model Validation: Cross-validation strategies, hyperparameter optimization (Grid Search, Random Search, Bayesian optimization), and A/B testing frameworks Deep Learning Architectures: Neural networks, transformers, and transfer learning methodologies NLP Algorithms: Text preprocessing, TF-IDF, word embeddings (Word2Vec, GloVe), topic modeling (LDA), sentiment analysis, and named entity recognition Expert understanding of NLP and generative AI; able to effectively use, fine-tune, and evaluate commercially available models as well as deploy and integrate local LLMs into the data science process Expert level Python programmer, with some experience in R and/or SQL Expert user of Databricks or similar cloud-based model development ecosystem including mlflow, experimentation organization, data catalogs, and compute cluster configuration Sufficient understanding of software engineering best practices such as Git for version control, unit testing, local development, and environment management Knowledge of ML Engineering and ML Ops related concepts and tools including CICD pipelines, GitHub Actions, Docker, AWS Lambda, and Linux Degree in a relevant field (computer science, data science, statistics, mathematics, applied math, actuarial science, economics, etc.) What you bring to the table Excellent communication skills, in person and through phone / email Proven ability to understand client analytical needs, translate them into an action plan, then execute and deliver Customer-centric approach to finding solutions Focused on results and able to explain findings in a way that answers business problems Constructive, “can do” approach to overcoming obstacles Can quickly learn new techniques and technologies Proactive in identifying process improvements Strong work ethic, willing to pitch in wherever needed Thrive in a small team, without micromanagement Ability to manage projects and timelines, including directing the work of others Wish List PhD in relevant field or Actuarial designation (FCAS/FSA) Experience in one of the following industries: healthcare, insurance (L&H or P&C), finance, life sciences, or similar fields Experience at an InsurTech or FinTech Past experience working in a HIPAA / PHI / PCI compliant environment Location The expected application deadline for this job is January 1, 2026. This position is open to remote work. Applicants must be willing to travel to the Milliman office in Brookfield, WI as needed and travel nationwide for meetings, conferences, and team events. Compensation The overall salary range for this role is $93,700 - $232,680. For candidates residing in: Alaska, California, Connecticut, Illinois, Maryland, Massachusetts, New Jersey, Pennsylvania, Virginia, Washington, or the District of Columbia: $103,070 - $169,950 if overall experience is less than 10 years; and $129,250 - $213,290 for experience greater than 10 years. New York City, Newark, San Jose, or San Francisco: $112,440 - $185,400 if overall experience is less than 10 years; and $141,000 - $232,680 for experience greater than 10 years. All other states: $93,700 - $154,500 if overall experience is less than 10 years; and $117,500 - $193,900 for experience greater than 10 years. A combination of factors will be considered, including, but not limited to, education, relevant work experience, qualifications, skills, certifications, etc. Benefits We offer a comprehensive benefits package designed to support employees' health, financial security, and well-being. Benefits include: Medical, Dental and Vision - Coverage for employees, dependents, and domestic partners Employee Assistance Program (EAP) - Confidential support for personal and work-related challenges 401(k) Plan - Includes a company matching program and profit-sharing contributions Discretionary Bonus Program - Recognizing employee contributions Flexible Spending Accounts (FSA) - Pre-tax savings for dependent care, transportation, and eligible medical expenses Paid Time Off (PTO) - Begins accruing on the first day of work. Full-time employees accrue 15 days per year, and employees working less than full-time accrue PTO on a prorated basis. Holidays - A minimum of 10 paid holidays per year Family Building Benefits - Includes adoption and fertility assistance Paid Parental Leave - Up to 12 weeks of paid leave for employees who meet eligibility criteria Life Insurance & AD&D - 100% of premiums covered by Milliman Short-Term and Long-Term Disability - Fully paid by Milliman Equal Opportunity All qualified applicants will receive consideration for employment, without regard to race, color, religion, sex, sexual orientation, national origin, disability, or status as a protected veteran.

Job Title: Data Scientist (or AI Engineer) Workplace: Hybrid; 2-3 days per week onsite at MacDill AFB, FL Clearance: Top Secret (TS) Elder Research is seeking mid to senior-level Data Scientists (AI Engineers) to support a U.S. national security client at MacDill AFB in Tampa, FL. In this mission-focused role, you will apply advanced data science and AI/ML techniques to enable intelligence analysts to uncover hidden patterns, enhance decision-making, and drive intelligence innovation in support of national security. This hybrid role offers the opportunity to work at the cutting edge of analytics and defense, directly impacting military operations across the U.S. Intelligence and Defense community. Our team integrates expertise in data science, AI/ML, and intelligence operations to deliver data-driven solutions for the U.S. National Security enterprise. The work directly contributes to decision-making, mission readiness, and the ability of operators to succeed in a complex global battlespace. Key Responsibilities: As a Data Scientist on this program, you will: * Lead and conduct multifaceted analytic studies on large, diverse data sets. * Develop and deploy AI/ML models to enrich data and provide utility to intelligence analysts. * Perform complex data assessments to determine the operational relevance of proposed data sets for answering priority intelligence requirements. * Build and maintain data pipelines to ingest, transform, and structure both structured and unstructured data. * Discover links, patterns, and connections in disparate datasets, providing analysts with actionable context. * Experiment with exploratory mathematical, statistical, and computational techniques to identify new insights. * Provide solutions to command-level data challenges through rigorous analysis and innovative applications. * Support the development of tailored data environments and tools for intelligence analysts. Requirements: * Education: Bachelors degree in a technical field (e.g., Engineering, Mathematics, Statistics, Physics, Computer Science, IT, or related discipline). * Years of Experience: * 3-6 years; mid-level data scientist * 6+ years; senior-level data scientist * Clearance: active Top Secret (TS) * AI/ML Expertise: * Demonstrated experience applying Artificial Intelligence (AI) or Machine Learning (ML) to real-world problems. * Hands-on experience training, fine-tuning, and configuring AI/ML models and deploying them into production environments. * Proficiency in at least one AI/ML branch (e.g., Natural Language Processing, computer vision, generative AI, agentic AI). * Programming & Tools: * Strong programming skills in Python, R, Java, Rust, or similar languages. * Experience with AI/ML Ops, SQL/no SQL databases, and frameworks such as SQLAlchemy, Flask, Streamlit, Dash, React, and Spark. * Familiarity with APIs, CI/CD pipelines, and web technologies (JavaScript, HTML/CSS). * Analytical & Research Skills: * Ability to interpret and analyze structured and unstructured data using exploratory mathematical and statistical techniques. * Experience cleaning, transforming, and organizing data to support advanced analytics. * Ability to experiment with datasets, derive insights, and provide innovative solutions to complex mission challenges. * Collaboration & Communication: * Ability to work independently as well as within cross-functional teams. * Strong communication, problem-solving, and critical-thinking skills. * Capable of coordinating research and analytic activities with diverse stakeholders. Preferred Qualifications: * Active TS/SCI clearance. * Experience supporting the intelligence domain, particularly Intelligence, Surveillance, and Reconnaissance (ISR). * Previous work supporting Special Operations Forces (SOF) missions or U.S. national security customers. * Demonstrated expertise across multiple AI/ML disciplines (e.g., NLP, computer vision, generative AI, agentic AI). Why apply to this position at Elder Research? * Competitive Salary and Benefits * Important Work / Make a Difference supporting U.S. national security. * Job Stability: Elder Research is not a typical government contractor, we hire you for a career not just a contract. * People-Focused Culture: we prioritize work-life-balance and provide a supportive, positive, and collaborative work environment as well as opportunities for professional growth and advancement. * Company Stock Ownership: all employees are provided with shares of the company each year based on company value and profits.

Job Title: Data Scientist (or AI Engineer) Workplace: Hybrid; 2-3 days per week onsite at MacDill AFB, FL Clearance: Top Secret (TS) Elder Research is seeking mid to senior-level Data Scientists (AI Engineers) to support a U.S. national security client at MacDill AFB in Tampa, FL. In this mission-focused role, you will apply advanced data science and AI/ML techniques to enable intelligence analysts to uncover hidden patterns, enhance decision-making, and drive intelligence innovation in support of national security. This hybrid role offers the opportunity to work at the cutting edge of analytics and defense, directly impacting military operations across the U.S. Intelligence and Defense community. Our team integrates expertise in data science, AI/ML, and intelligence operations to deliver data-driven solutions for the U.S. National Security enterprise. The work directly contributes to decision-making, mission readiness, and the ability of operators to succeed in a complex global battlespace. Key Responsibilities: As a Data Scientist on this program, you will: Lead and conduct multifaceted analytic studies on large, diverse data sets. Develop and deploy AI/ML models to enrich data and provide utility to intelligence analysts. Perform complex data assessments to determine the operational relevance of proposed data sets for answering priority intelligence requirements. Build and maintain data pipelines to ingest, transform, and structure both structured and unstructured data. Discover links, patterns, and connections in disparate datasets, providing analysts with actionable context. Experiment with exploratory mathematical, statistical, and computational techniques to identify new insights. Provide solutions to command-level data challenges through rigorous analysis and innovative applications. Support the development of tailored data environments and tools for intelligence analysts. Requirements: Education: Bachelor s degree in a technical field (e.g., Engineering, Mathematics, Statistics, Physics, Computer Science, IT, or related discipline). Years of Experience: 3-6 years; mid-level data scientist 6+ years; senior-level data scientist Clearance: active Top Secret (TS) AI/ML Expertise: Demonstrated experience applying Artificial Intelligence (AI) or Machine Learning (ML) to real-world problems. Hands-on experience training, fine-tuning, and configuring AI/ML models and deploying them into production environments. Proficiency in at least one AI/ML branch (e.g., Natural Language Processing, computer vision, generative AI, agentic AI). Programming & Tools: Strong programming skills in Python, R, Java, Rust, or similar languages. Experience with AI/ML Ops, SQL/no SQL databases, and frameworks such as SQLAlchemy, Flask, Streamlit, Dash, React, and Spark. Familiarity with APIs, CI/CD pipelines, and web technologies (JavaScript, HTML/CSS). Analytical & Research Skills: Ability to interpret and analyze structured and unstructured data using exploratory mathematical and statistical techniques. Experience cleaning, transforming, and organizing data to support advanced analytics. Ability to experiment with datasets, derive insights, and provide innovative solutions to complex mission challenges. Collaboration & Communication: Ability to work independently as well as within cross-functional teams. Strong communication, problem-solving, and critical-thinking skills. Capable of coordinating research and analytic activities with diverse stakeholders. Preferred Qualifications: Active TS/SCI clearance. Experience supporting the intelligence domain, particularly Intelligence, Surveillance, and Reconnaissance (ISR). Previous work supporting Special Operations Forces (SOF) missions or U.S. national security customers. Demonstrated expertise across multiple AI/ML disciplines (e.g., NLP, computer vision, generative AI, agentic AI). Why apply to this position at Elder Research? Competitive Salary and Benefits Important Work / Make a Difference supporting U.S. national security. Job Stability: Elder Research is not a typical government contractor, we hire you for a career not just a contract. People-Focused Culture: we prioritize work-life-balance and provide a supportive, positive, and collaborative work environment as well as opportunities for professional growth and advancement. Company Stock Ownership: all employees are provided with shares of the company each year based on company value and profits. About Elder Research, Inc People Centered. Data Driven Elder Research is a fast growing consulting firm specializing in predictive analytics. Being in the data mining business almost 30 years, we pride ourselves in our ability to find creative, cutting edge solutions to real-world problems. We work hard to provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately. Our team members are passionate, curious, life-long learners. We value humility, servant-leadership, teamwork, and integrity. We seek to serve our clients and our teammates to the best of our abilities. In keeping with our entrepreneurial spirit, we want candidates who are self-motivated with an innate curiosity and strong team work. Elder Research believes in continuous learning and community - each week the entire company attends a Tech Talk and each office location provides lunch. Elder Research provides a supportive work environment with established parental, bereavement, and PTO policies. By prioritizing a healthy work-life balance - with reasonable hours, solid pay, low travel, and extremely flexible time off - Elder Research enables and encourages its employees to serve others and enjoy their lives. Elder Research, Inc. 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, or protected veteran status and will not be discriminated against on the basis of disability. Elder Research is a Government contractor and many of our positions require US Citizenship.