Customer Support Remote (US)

Remote Customer Support Data Jobs (US)

43 jobs found

Include remote jobs

All (593) 🌍 Worldwide (166) 🇺🇸 US (406) 📍 Location-specific (21)

3d ago

Data Engineer

AnewHealth Cleveland, OH 🇺🇸 Remote

Cleveland, OH

3d ago

Full time Data Data Analysis Data Analytics

Apply Now

Job Description

The Data Engineer role supports Pharmacy Benefit Management clients by maintaining and improving complex data systems. The position focuses on building scalable data solutions for analytics and business intelligence while adhering to healthcare data compliance requirements.

Role Overview

In an Agile environment, this role partners with cross-functional stakeholders to design, develop, test, and optimize data solutions. Responsibilities include enhancing existing ETL and reporting processes, supporting database performance, and contributing technical expertise across new development and complex enhancements.

Key Responsibilities

Participate in Agile development activities, including contributing to all Scrum ceremonies.
Design, develop, and deliver solutions aligned to requirements and committed schedules.
Collaborate with the Product Owner to evaluate current systems and inform future development decisions.
Test, debug, and implement enhancements to existing code, processes, and reports.
Maintain existing processes, including VisualCron schedules, SQL/ETL procedures, and reporting.
Assist in troubleshooting pharmacy claim related issues, reports, and processes.
Support existing .NET applications and related SQL code connected to NCPDP Pharmacy Encounter data submissions.
Create detailed technical specifications based on requirements and design.
Monitor and optimize database performance, including query tuning and indexing strategies.
Review existing and new processes and provide recommendations for reliable and maintainable code.
Analyze and research software requirements to determine feasibility within time and cost constraints.
Act as a technical expert for the design, development, coding, testing, and debugging of new software and complex enhancements.
Learn and integrate new technologies with cloud and product infrastructure.
Escalate problems and proposed solutions to staff engineers and management.
Communicate updates, changes, and risks to stakeholders and propose solutions.
Share knowledge through mentorship to help advance the team.
Stay current with emerging trends and best practices in database development and related technologies.

Required Qualifications

Bachelor’s degree in Computer Science or similar technical field, or 4+ years of related experience (or equivalent education and experience combination) required.
Master’s degree in Computer Science or similar technical field preferred.
Proficient in database design, normalization, and data modeling.
Strong capability in dimensional data modeling and OLAP principles.
10+ years of SQL database development using the Microsoft SQL Server toolset (SSIS, SSRS, SSMS, SSAS, RDBMS).
5+ years of experience with Data Warehouse methodologies.
Expertise in query tuning, performance optimization, and troubleshooting.
Familiarity with cloud-based database solutions (e.g., Azure SQL Database, AWS RDS).
Advanced SQL skills including data modeling, DBO creation, management, and indexing.
Experience implementing high availability, high throughput, and scalable systems.
Expertise in identifying and diagnosing application and database issues, performing root cause analysis, and recommending corrective actions.
Experience with PowerShell and Python.
Experience using provided tools (AWS, GitLab, Visual Studio).
Agile methodology experience (Scrum, Kanban, Lean, etc.) preferred.
Familiarity with .NET, C#, JSON, XML, VisualCron, PowerBI.
Familiarity with reporting and visualization tools (e.g., Power BI, Tableau).
Knowledge of non-relational databases (e.g., MongoDB, Cassandra) and big data technologies (e.g., Hadoop, Spark).
Healthcare technology and online pharmacy claims adjudication preferred.
Knowledge of pharmacy industry standards such as NCPDP, HL7, ANSI X12, and/or related drug database terminologies and classifications.
Knowledge of Medicare Part D, PDE submissions & returns, pharmacy claims, and benefit management.
Demonstrated ability to be creative, flexible, and passionate about building quality solutions.
Demonstrated ability to architect, design, develop, and implement solutions for micro-service and monolithic architectures.
Skilled in written and verbal communication, with ability to collaborate and work independently as needed.
Initiative and follow-through on projects with minimal supervision.
Demonstrated expertise across multiple technical areas or disciplines.
Interest and ability to learn additional coding languages and technologies as needed.

Location and Work Setup

Location: Cleveland, OH (remote)
Experience level: 10+ years minimum

Technology Stack

SQL, Microsoft SQL Server (SSIS, SSRS, SSMS, SSAS, RDBMS), VisualCron
.NET, PowerShell, Python, C#, JSON, XML
NCPDP, NCPDP Pharmacy Encounter data submissions
Azure SQL Database, AWS RDS, AWS, GitLab, Visual Studio
PowerBI / Power BI, Tableau
MongoDB, Cassandra, Hadoop, Spark
HL7, ANSI X12

Benefits

Medical/dental/vision
Flexible spending
Company-paid life insurance and short-term disability
Voluntary benefits
401(k)
Paid Time Off and paid holidays
Medical, dental, and vision coverage effective 1st of the month following date of hire

Physical and Mental Demands

This position is administrative in nature and requires hearing, seeing, sitting, standing, talking, and walking.
Must be able to commute to multiple site locations within assigned territory.
Extended hours may be necessary as needed.

Schedule

Full-time position with an expectation to work an average of 40 hours per week.
Availability outside of normal business hours may be required on an ad-hoc basis to meet customer expectations.
Schedules may be adjusted to meet position requirements and organizational needs.

About Compliance

The role supports healthcare data compliance requirements while delivering improvements and new solutions for Pharmacy Benefit Management clients.

View full job page →

3d ago

AI Engineer

JST United States 🇺🇸 Remote

United States

3d ago

Full time Agentic Ai Ai Agent Ai Engineer

Apply Now

Job Description

JST is hiring a full-time AI Engineer for a remote role in the United States. You will help build a new AI-powered product from the ground up, delivering end-to-end capabilities across infrastructure, backend services, data workflows, user experiences, and operational tooling in partnership with the Head of AI Engineering.

Responsibilities

Use advanced AI coding and engineering harnesses to convert product requirements, prototypes, and technical designs into tested production software.
Build full product capabilities across cloud infrastructure, backend services, APIs, data pipelines, web applications, and user-facing experiences.
Design agentic systems that can plan work, use tools, coordinate workflows, retain appropriate context, and automate repeatable product and operational tasks.
Implement controls that make AI systems dependable, including human approval points, permissions, evaluations, observability, failure handling, and cost and latency measurement.
Collaborate with product leaders and domain experts to understand real workflows, identify the smallest useful release, and iterate based on user feedback.
Own vertical slices of the product from design through deployment and support, with guidance and review from the Head of AI Engineering.
Evaluate models, prompting approaches, retrieval patterns, and tool-use designs against practical measures of quality, safety, speed, and cost.
Produce clear tests, technical documentation, runbooks, and support notes so the broader team can operate and improve the product.
Investigate software issues, improve reliability, and address recurring support needs by improving product behavior or safe automation.

Requirements

A recently completed or soon-to-be-completed master’s or doctoral degree in computer science, artificial intelligence, machine learning, software engineering, data science, robotics, human-computer interaction, or a closely related technical field.
Strong programming fundamentals and practical experience in at least one modern language, with Python, TypeScript, or JavaScript especially relevant.
Working understanding of APIs, databases, version control, testing, debugging, and core concepts behind cloud or distributed applications.
Ability to take an ambiguous problem, break it into manageable steps, and deliver a working project.
Clear written and verbal communication, intellectual curiosity, and comfort asking questions when requirements or evidence are incomplete.
Good product judgment across user workflow, usability, reliability, and support needs alongside technical execution.
MUST be able to successfully pass a drug and background check.

Technologies

Python
TypeScript
JavaScript
APIs
Databases
Version control
Testing
Debugging

Benefits

Complete benefits package
Collaborative work environment
Strong company culture

Preferred Experience

Two to three years of relevant industry experience.
Exposure to product development through an engineering, research, design, startup, internship, co-op, or customer-facing project.
Hands-on work with large language models, retrieval-augmented generation, agent frameworks, tool calling, AI evaluations, or AI-assisted software-development workflows.
Experience with a major cloud platform, infrastructure as code, serverless systems, containers, CI/CD, or production monitoring.
Experience building modern web interfaces or collaborating on UX, design systems, accessibility, and user research.
Interest in privacy, security, responsible AI, and the demands of enterprise or government software.

What Success Looks Like

Shipping useful product increments that function across the interface, application, data, and cloud layers.
Delivering agentic automations that save measurable time while preserving clear permissions, human oversight, and reliable failure paths.
Applying AI engineering tools with discipline by validating generated work through tests, review, and direct evidence.
Learning product and user needs quickly, communicating tradeoffs clearly, and taking on larger technical decisions as judgment grows.
Improving the product after release by following operational signals and feeding support feedback back to root causes.

About JST

JST enables successful mission outcomes from the back office to the battlefield and works with federal customers. JST is committed to creating a positive environment that supports every employee’s professional and personal objectives, and values well-being. JST is an equal opportunity employer and will not tolerate discrimination or harassment.

View full job page →

5d ago

Senior AI Engineer

Infosys United States

United States

5d ago

Full time Senior Artificial Intelligence Engineer

Apply Now

Job Description

Infosys is hiring a Senior AI Engineer based in the United States (onsite) to work as an Architecture Consultant 2. In this role, you will shape solution architecture, guide integration strategies, and support build and deployment automation. The focus is on creating scalable and secure architectures, evaluating technologies, identifying risks early, and ensuring knowledge is transferred through quality-driven transitions.

What you’ll be doing

Join customer discussions to gather and analyze system requirements with an emphasis on performance, security, and scalability.
Recommend solution architecture approaches and contribute to technical framework development, supporting enterprise architecture definition and design creation.
Assess market technologies and tools, run comparative analyses against client business requirements, and help select optimal architectural solution options.
Participate in building integration strategies grounded in validation of proof of concept for proposed architectural solutions.
Enable a smooth transition by supporting knowledge transfer and adherence to quality standards, while contributing to the build and deployment automation strategy.
Collaborate with development teams to troubleshoot complex technical issues using solution deployment and roll-out methods across build, deployment, and support phases.
Analyze system performance outcomes based on implemented architectural solutions and contribute to identifying potential risks across the system landscape.
Create architectural framework and technical solution artifacts to strengthen the team knowledge repository.

What you bring

Ability to analyze, design, and develop scalable and secure architectures.
Strong aptitude for evaluating multiple technologies, tools, and frameworks to recommend optimal solutions.
Understanding of integration methodologies, proof-of-concept validation, and deployment strategies.
Ability to document architectural frameworks and solutions.
Proactive communication with internal teams and clients to keep alignment with business objectives.
Ability to stay current with up-to-date technical advancements to support relevant and effective recommendations.
Capability to maintain standards and support smooth transition through knowledge transfer.

How you’ll contribute to the team

You will bring architecture and integration expertise to deliver scalable, secure solutions, support informed technology decisions, and strengthen execution through documented frameworks, validated integrations, and quality-focused transitions.

View full job page →

5d ago

IT Data Engineer II

GCI United States

United States

5d ago

Full time Azure Data Engineer Big Data Cloud Data Engineering

Apply Now

Job Description

GCI is seeking an IT Data Engineer II to help build and maintain the supporting framework behind enterprise data activities. In this role, you will focus on acquiring, transforming, and delivering data used for analysis, while also developing and testing analytics infrastructure that leverages existing data platforms to meet data-related requests.

What you’ll do

Gather and translate business and functional requirements into clear, actionable technical specifications and deliverables.
Design, build, and maintain scalable data pipeline architecture for analytics and advanced data workloads.
Create and maintain efficient ETL/ELT pipelines using relevant tools and custom code.
Assemble large, complex data sets that satisfy functional and non-functional business requirements.
Build infrastructure to support optimal extraction, transformation, and loading of data from a wide variety of data sources.
Develop analytics tools that use the data pipeline to produce actionable insights for areas such as customer acquisition and operational efficiency.
Resolve complex technical data issues across pipelines and data platforms.
Tune SQL queries and optimize pipelines and infrastructure for performance and cost efficiency.
Collaborate cross-functionally to address data-related technical issues and support data infrastructure needs.
Perform thorough quality assurance reviews of modules to validate functionality, code integrity, performance, and compliance with design and coding standards.
Identify, design, and implement internal process improvements, including automation of manual work, optimization of data delivery, and redesigning infrastructure for scalability.
Conduct root cause analysis, document findings clearly, and drive effective data-driven solutions.
Educate corporate users on data usage, literacy, and governance best practices to support consistent decision-making.
Support a culture of professional, proactive, results-driven collaboration, including open communication and shared accountability.
Strengthen job proficiency through continuous learning and role-specific training.
Take ownership for actions, decisions, and results, welcome feedback, and demonstrate willingness to improve.
Follow internal controls, protect confidential company and customer information, and adhere to GCI’s Code of Business Conduct & Ethics and Code of Conduct for Employees (Basic Principles).
Demonstrate commitment to service excellence with a high priority on customer satisfaction.
Maintain timely follow-through on assigned tasks, attendance at meetings and training, and other work obligations.
Use knowledge, initiative, sound decision-making, innovation, adaptability, and problem-solving skills in daily work.
Support a safe work environment by following workplace safety rules and guidelines and complying with applicable Security policies and procedures.
Use proficiency in computer skills and MS Office tools (Outlook, Teams, Word, Excel) to complete job duties effectively.

Required education and experience

Minimum experience: 4 years.
Education: Bachelor’s degree in Computer Science, Software Engineering, Data Science, or related field.
Additional requirement: A combination of relevant work experience and/or education sufficient to perform the duties of the job may substitute to meet the total years required on a year-for-year basis.

Minimum and preferred qualifications

High School diploma or equivalent.
Minimum four (4) years of experience in corporate data analytics, real-time analytics and visualization tools, data collection and/or data pipelines, or related background.
Broad working knowledge of big data processing on cloud platforms.
Preferred: Experience with relational and non-relational databases and batch data sources.
Preferred: Experience with Azure-based data solutions.
Preferred: Hands-on experience with Databricks, including Delta Lake, Spark Declarative Pipelines, Spark Structured Streaming, and Lakeflow Connect.
Preferred: Experience with modern data architectures, including Medallion Architecture.
Preferred: Relevant telecom industry or job-specific certifications.

Technologies and tools

SQL
MS Office: Outlook, Teams, Word, Excel
ETL, ELT
Azure
Databricks, Delta Lake
Spark Declarative Pipelines, Spark Structured Streaming
Lakeflow Connect
Lakehouse architecture, Lakehouse
Medallion Architecture
CI/CD
Agile methodology
Data modeling
Metadata management
Data governance principles

Working conditions and logistics

Location: United States (onsite).
Driving requirement: May require access to reliable transportation for occasional travel.
Physical/work conditions: Work is primarily sedentary and involves daily computer usage.
Schedule: Ability to work shifts as assigned, operate in a standard office/home office setting, and work additional time when necessary (including weekends, holidays, and before or after normal hours).
Communication and teamwork: Ability to communicate effectively, work well in a team environment, and collaborate with diverse groups.
Remote compliance: Virtual workers must comply with remote work policies and agreements.

Role level

This is an intermediate level position with broad knowledge and proficiency in areas of responsibility.
Performs moderately complex tasks with general instruction on routine work and new assignments.
Works under moderate supervision with latitude for independent judgment.
Supports higher level staff on more complex projects.
Provides training and guidance to lower-level staff.

View full job page →

8d ago

Data Scientist

Base-2 Solutions United States

United States

8d ago

Full time Analytics Big Data Data Analysis

Apply Now

Job Description

Base-2 Solutions is seeking a Data Scientist to support research-level data analytics at a customer site in Bethesda, MD. This position contributes to programs focused on advanced machine learning, natural language processing, and data fusion in support of national security objectives.

The work is carried out in an onsite environment in the United States and involves collaboration across data science and engineering roles, with the goal of turning complex datasets into mission-relevant findings for both technical and non-technical audiences.

What you’ll do

Partner with a cross-functional team of data scientists, software developers, network engineers, senior investigators, program managers, researchers, and data analysts to design, build, and optimize a Data Science platform.
Analyze big data spanning national security, cybersecurity, business intelligence, online social media, and human behavior, among other domains.
Support multiple simultaneous projects, contributing independently and collaboratively to discover and deliver findings.
Identify novel data sources to improve predictive algorithms and encourage user adoption of analytics platforms.
Apply research design, exploratory analysis, quantitative methods, and user interface application design, along with customer outreach and engagement.

Required qualifications

Education and experience: B.S. in a quantitative or analytical field (for example, Computer Science, Mathematics, Economics, Statistics, Engineering, Physics, or Computational Social Science) with 2+ years of experience. Alternatively, a Master’s degree or equivalent graduate degree including certificate-based advanced training courses with less than 2 years of experience.
Experience in data science, analytics, or quantitative intelligence analysis with progressive technical development and outcomes.
Proficiency in one or more scripting languages, including Python.
Experience deploying data science applications using Docker, Kubernetes, and/or OpenShift.
Experience with information retrieval and search technologies such as Elastic Stack (Elasticsearch and Kibana) and/or SQL.
Experience working in hybrid teams of analysts, engineers, and developers to research, build, and deploy complex yet user-friendly algorithms and analytical platforms.
Prior experience performing data science or research in analytics or big data that does not fit in memory.
Track record of active learning and creative problem solving.
Ability to analyze and assess software development or data acquisition requirements and determine cost-effective solutions.
Familiarity with git or other version control technologies.
Ability to own work and complete tasks on time with little or no supervision.
Active Top Secret/SCI.
U.S. citizenship required.

Preferred qualifications

Significant data analytics experience supporting military or intelligence community customers with progressive technical development and mission-focused outcomes.
Experience with at least two of: forensic media (DOMEX), open source publicly available information (PAI), measurement and signatures intelligence (MASINT), or cybersecurity and cyber forensics.
Experience with Knowledge Graphs and related technologies such as neo4j or graph machine learning.
Experience developing predictive algorithms, image classifiers, and object detectors.
Familiarity with social network analysis, supply chain analysis, forensic accounting, pattern of life analysis, natural language processing, social media analysis, classification algorithms, and/or image processing.
Experience blending analytical methodologies and leveraging existing COTS/GOTS/OS tools in unconventional ways.
Experience with on-premises air-gapped environments and/or AWS/C2S.
Familiarity with hardware platforms such as CPUs, GPUs, and FPGAs.

Technologies

Python
Docker
Kubernetes
OpenShift
Elastic Stack (Elasticsearch and Kibana)
SQL
git

Location, work details, and eligibility

Requisition ID: 5028
Location: Bethesda, MD
Work type: On-Site
Shift: First
Referral eligibility: Eligible
U.S. citizenship required: Yes

Benefits

Competitive fixed salary or hourly pay (based on experience, skills, location, and internal equity).
Employee referral bonuses up to $10,000 per hired referral.
Additional bonus opportunities for exceptional performance and contributions to business development and company growth (role-dependent).
100% company-paid medical premiums for employees and eligible dependents (CareFirst, Kaiser, and UnitedHealthcare plans including PPO, POS, HMO, and HSA-compatible options).
100% company-paid dental premiums for employees and eligible dependents.
100% company-paid vision premiums for employees and eligible dependents.
100% company-paid premiums for short-term disability and long-term disability.
100% company-paid premiums for accidental death & dismemberment (AD&D).
100% company-paid life insurance up to $200,000.
401(k) with immediate vesting: 4% company match plus a 4% non-elective company contribution (8% total), with pre-tax and Roth options.
Up to 20 days of flexible paid time off (PTO) and 11 paid floating holidays.
Flexible work schedules, including flex time and compressed work periods (contract and project-dependent).

View full job page →

8d ago

Data Scientist

Base-2 Solutions United States

United States

8d ago

Full time Data Platform Data Science Data Scientist

Apply Now

Job Description

Base-2 Solutions is hiring a Data Scientist for a long-term, mission-focused big data and predictive analytics program supporting national security objectives. This hybrid role is based in Bethesda, MD, with the opportunity to collaborate across data science, engineering, and investigative expertise to design and optimize a Search and Discovery platform.

Why Base-2 Solutions

Health coverage: 100% company-paid medical, dental, and vision premiums for employees and eligible dependents.
Protection: 100% company-paid premiums for short-term disability, long-term disability, AD&D, and life insurance up to $200,000.
401(k) with immediate vesting: 4% company match plus 4% non-elective contribution (8% total), with pre-tax and Roth options.
Time off: up to 20 days of flexible paid time off (PTO) and 11 paid floating holidays.
Flexible work: flex time and compressed work periods (contract and project-dependent).
Referral bonuses: employee referral bonuses up to $10,000 per hired referral.
Performance-based bonus opportunities: additional bonuses may be available depending on role and contributions.

What you’ll do

Partner with a multidisciplinary team of data scientists, software developers, network engineers, senior investigators, program managers, researchers, and data analysts to design, build, and optimize a Search and Discovery platform.
Perform research to recommend optimal approaches for indexing and organizing data for discovery, and to create reusable agents and tools.
Support multiple projects at once, independently and collaboratively making mission-relevant discoveries and sharing results with non-technical audiences.
Identify novel data sources to improve predictive algorithms and encourage adoption of data analytics platforms.
Apply expertise across research design, exploratory analysis, quantitative methods, and user interface application design with an emphasis on customer engagement.
Collaborate on the development and deployment of complex algorithms and analytical platforms as part of a hybrid team.
Participate in co-development and cooperative research to leverage and reuse team products.

Key skills and requirements

Education: B.S. in a quantitative or analytical field (e.g., Computer Science, Mathematics, Economics, Statistics, Engineering, Physics, Computational Social Science) or a Master’s degree/equivalent graduate degree, including certificate-based advanced training courses.
Experience: 4+ years in data science, analytics, or quantitative intelligence analysis (or 2+ years if holding a Master’s degree/equivalent).
Python proficiency.
Experience deploying data science applications using Docker, Kubernetes, and/or OpenShift.
Experience with information retrieval and search technologies such as Elastic Stack (Elasticsearch and Kibana) and/or SQL.
Familiarity with Git and cooperative software development practices.
Experience working with hybrid teams to conduct research and build analytical platforms.
Demonstrated active learning and creative problem solving.

Preferred qualifications

Experience supporting military or intelligence community customers with progressive technical development and mission-focused outcomes.
Experience constructing and performing evaluations of analytics, including test data construction, test execution, and metrics.
Experience with agentic software solutions such as Agno, CrewAI, Pydantic AI, or LangGraph.
Experience working in on-prem, air-gapped environments and/or AWS/C2S.

Technologies you may work with

Python, Docker, Kubernetes, OpenShift, Elastic Stack (Elasticsearch, Kibana), SQL, Git, Agno, CrewAI, Pydantic AI, LangGraph, AWS/C2S.

Clearance requirement

Active Top Secret/SCI

View full job page →

8d ago

Data Scientist Level 2

Base-2 Solutions United States

United States

8d ago

Full time Python Analytics Artificial Intelligence

Apply Now

Job Description

Base-2 Solutions is seeking a Data Scientist Level 2 to support the VISTA (MT&E Team) by building and assessing machine learning, data mining, statistical, and graph-based analytics. The role converts mission requirements into scalable production analytics through collaboration with subject matter experts and engineering or cloud teams.

Responsibilities

Produce data visualizations that clarify dataset structure and meaning.
Partner with SMEs to identify key information within raw data and develop scripts to extract insights from multiple data formats, including SQL tables, structured metadata, and network logs.
Incorporate SME input into feature vectors for analytic development and testing.
Translate customer qualitative analysis processes and goals into quantitative formulations implemented in software prototypes.
Develop and implement statistical, machine learning, and heuristic techniques to support descriptive, predictive, and prescriptive analytics.
Create statistical tests to enable data-driven recommendations and decisions.
Design experiments to collect required data or build models to simulate data when data is not available.
Build feature vectors for machine learning algorithm input.
Select appropriate algorithms for a given dataset and tune input and model parameters.
Evaluate and validate analytic performance using standard methods and metrics, including cross-validation, ROC curves, and confusion matrices.
Oversee individual analytic efforts and guide the analytic development process for the team.
Direct analytic work toward solutions that can scale to large datasets.
Work with software engineers and cloud developers to deliver production analytics.
Develop and train machine learning systems based on statistical analysis of data characteristics to support mission automation.

Requirements

Active TS/SCI with Full Scope Polygraph.
Proficiency in Python and R for data manipulation, analysis, and algorithm implementation.
Strong foundation in statistics and probability, including regression analysis, hypothesis testing, and statistical distributions.
Knowledge of machine learning algorithms and frameworks, including TensorFlow and Scikit-Learn.
Ability to perform data wrangling, including cleaning, transforming, and organizing complex datasets.
Familiarity with SQL and database management systems such as PostgreSQL and MongoDB.
Experience with data visualization tools such as Tableau and Matplotlib.
Bachelor’s degree from an accredited college or university in a quantitative discipline, such as statistics, mathematics, operations research, engineering, or computer science.
Five (5) years of experience analyzing datasets and developing analytics.
Five (5) years of experience programming with data analysis software such as R, Python, SAS, or MATLAB.
U.S. citizenship required.

Preferred Qualifications

Experience partnering with software engineers and cloud developers to develop production analytics.
Experience guiding analytic development efforts toward scalable solutions for large datasets.
Experience translating customer qualitative analysis processes into quantitative, software-based solutions.

Technologies

Python, R
TensorFlow, Scikit-Learn
SQL, PostgreSQL, MongoDB
Tableau, Matplotlib
SAS, MATLAB

Benefits

Competitive fixed salary or hourly pay (based on experience, skills, location, and internal equity).
Employee referral bonuses up to $10,000 per hired referral.
Additional bonus opportunities for exceptional performance and contributions to business development and company growth (role-dependent).
100% company-paid medical premiums for employees and eligible dependents.
Choose from multiple plan options with CareFirst, Kaiser, and UnitedHealthcare, including PPO, POS, HMO, and HSA-compatible plans.
100% company-paid dental premiums for employees and eligible dependents.
100% company-paid vision premiums for employees and eligible dependents.
100% company-paid premiums for short-term disability.
100% company-paid premiums for long-term disability.
100% company-paid premiums for accidental death & dismemberment (AD&D).
100% company-paid premiums for life insurance up to $200,000.
401(k) with immediate vesting: 4% company match plus a 4% non-elective company contribution (8% total).
401(k) pre-tax and Roth options.
Up to 20 days of flexible paid time off (PTO).
11 paid floating holidays.
Flexible work schedules, including flex time and compressed work periods (contract and project-dependent).