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1mo ago

Data Engineer I - Salesforce Data 360

Relias US Morrisville, NC

Morrisville, NC

1mo ago Closed

$91k - $130k/yr Full time Data Architecture Data Engineer Data Integration

This position is no longer accepting applications (closed Sep 13, 2026).

Job Description

Relias US is seeking a Data Engineer I to help build and run the revenue data platform that supports analytics and AI across the customer lifecycle. In this hybrid role based in Morrisville, North Carolina, you will design ingestion pipelines into Salesforce Data Cloud (Data 360), unify customer data, and help ensure a trusted, governed foundation that Agentforce agents can rely on.

What you’ll do

Design, build, and maintain ingestion and transformation pipelines into Salesforce Data Cloud (Data 360) from Salesforce CRM, Gong, Pardot (MCAE), and other revenue systems using native connectors, APIs, and streaming patterns.
Build and maintain Data Cloud data models mapped to the canonical data model, and configure identity resolution rulesets to unify customer and account data across sources.
Prepare, structure, and govern the data foundation for Agentforce, including unstructured sources, so agents operate on accurate, current, and permissioned data.
Integrate Data Cloud with the Relias Information Hub on Databricks, and maintain enrichment pipelines from providers including ZoomInfo, Dun and Bradstreet, Definitive Healthcare, and Clay into Salesforce and Data Cloud.
Implement match and dedupe logic, field survivorship, and monitoring for match rates and data freshness for enrichment feeds.
Ensure data accuracy, consistency, lineage, and security through validation, monitoring, and access controls; identify, diagnose, and resolve data issues promptly.
Create and maintain documentation for pipelines, data models, mappings, and integration patterns.

Key requirements

Bachelor’s Degree in computer science or related field.
2+ years of data engineering, including 1 to 2 years working with Salesforce Data Cloud or a comparable CDP and Salesforce data integration.
Hands-on experience with Salesforce Data Cloud (Data 360), including data streams, connectors, ingestion, transforms, data model objects, identity resolution, and calculated insights.
Working knowledge of the Salesforce platform and revenue stack data structures, including Salesforce CRM, Gong, and Pardot/MCAE.
Programming experience in SQL and Python.

Skills and tools

Salesforce Data Cloud (Data 360), Salesforce CRM, Gong, Pardot (MCAE), Agentforce
Databricks, SQL, Python, APIs, streaming patterns
ZoomInfo, Dun and Bradstreet, Definitive Healthcare, Clay

Compensation

Expected salary range is USD 91,000 - 129,500 per year.

Benefits

Fantastic health and wellness benefits package, including an outstanding 401k match, a flexible PTO program, and a generous and inclusive parental leave policy.
Relias pays for the employee portion of the monthly healthcare premium.
Active Employee Resource Groups open to all employees.
Comprehensive onboarding program.
Growth and career advancement opportunities.
Onsite 321 Coffee Shop providing free coffee and pastries to employees.

Work location and hybrid expectations

Flexible hybrid work requires you live in the state of North Carolina, within a commutable distance to the office (approximately 1-hour commute).
Expected to work in the Morrisville, NC Headquarters (close to the Raleigh/Durham airport) approximately 30 days/quarter.

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1mo ago

Senior Data Scientist (TS/SCI Clearance)

EpochGeo Quantico, VA

Quantico, VA

1mo ago Closed

$125k - $175k/yr Full time Senior Analytics Business Analytics

This position is no longer accepting applications (closed Sep 13, 2026).

Job Description

EpochGeo helps deliver data-rich capabilities for national security projects, turning complex information into practical analytics and ML/AI tools. As a Senior Data Scientist on-site in Quantico, VA 22134, you will work across data analytics, data engineering, and predictive AI development, with support for flexible scheduling and benefits designed to cover everyday needs.

Compensation: $125,000 - $175,000 per year (full-time).

What you’ll do

Perform data analytics, data engineering, and data mining to extract insights that inform decisions.
Build machine learning tools, including recommendation engines and lead scoring systems.
Apply statistical analysis and data mining techniques to create high-quality prediction systems.
Create data visualizations and narrative products using Tableau and other graphical applications.
Manage, merge, and analyze large, disparate data sets using R, Python, or SQL.
Develop AI tools to automate key processes and improve operational efficiency.
Collaborate with cross-functional teams to translate data insights into actionable strategies.

Security and eligibility

Must hold a TS/SCI clearance and hold or be willing to submit for a CI Poly.
Top Secret clearance is required.
On-site work at Quantico, VA 22134; relocation before starting work is required.

Requirements

10+ years of experience and a Master’s Degree (or equivalent experience).
Education and experience aligned to Data Science, Computer Science, Statistics, Mathematics, or a related field.
Expertise in Python, SQL, and R.
Proficiency with Power BI and Tableau for data visualization.
Strong background in machine learning, statistical analysis, and predictive analytics.
Proven ability to manage large data sets and perform Multi-INT analytics.
Experience developing AI tools for automation.
Excellent communication skills to present complex findings clearly and concisely.

Benefits

100% health care premiums covered
FSA and HSA
401k: 6% match with immediate vesting (plus 401(k) and 401(k) matching)
14 holidays: all 11 Federal holidays, day after Thanksgiving, 24 DEC, 31 DEC
PTO: 4 weeks annually; Paid time off
Dental insurance, Vision insurance, and Life insurance
Flexible schedule
Professional development assistance
Tuition reimbursement
Parental leave
Referral program
Bonus opportunities and Profit sharing

Technologies you may use: Python, SQL, R, Power BI, Tableau, recommendation engines, lead scoring systems, and other graphical applications.

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1mo ago

Senior / Expert Data Scientist

Embedded Alliance Springfield, VA

Springfield, VA

1mo ago Closed

$125k - $160k/yr Full time Python Senior Analytics

This position is no longer accepting applications (closed Sep 13, 2026).

Job Description

Embedded Alliance seeks a Senior / Expert Data Scientist to collect, process, and analyze data and translate findings into data-driven solutions. The role includes applying AI/ML, building customized analytics and visualizations using Python, and supporting Intelligence Community operations under the required security clearance.

Location

Springfield, VA (onsite, in person)

Compensation

USD 125,000 - 160,000 per year

Core Responsibilities

Collect, process, and perform data analysis to deliver data-driven solutions
Apply artificial intelligence and machine learning techniques to both structured and unstructured datasets
Create highly customized visualizations and analytic applications aligned to unique operational and business requirements
Automate analytic and business processes using Python and related technologies
Identify and implement system enhancements, new capabilities, concept demonstrators, and modernization initiatives
Implement advanced analytic methodologies to support mission and business objectives
Support Intelligence Community operations

Required Qualifications

Top Secret Clearance with SCI / Polygraph (required)
Strong working knowledge and hands-on experience with Esri solutions, including Esri ArcGIS Pro, ArcGIS Online, and secure enterprise Esri portals
Senior-level proficiency in Python and its data science and visualization ecosystem, including Pandas, NumPy, SciPy, Matplotlib, Plotly, Dash, Bokeh, and related libraries
Demonstrated experience creating highly customized visualizations and analytic applications to meet unique operational and business requirements
Demonstrated experience automating analytic and business processes using Python and related technologies
Experience applying AI/ML techniques to structured and unstructured datasets
10+ years of relevant experience in data science, advanced analytics, machine learning, data visualization, and business analytics, with consideration for a combination of experience, professional certifications, and technical training in lieu of some years
Experience supporting Intelligence Community operations
Demonstrated experience in data mining and developing, maintaining, and manipulating databases
Experience identifying and implementing system enhancements, new capabilities, concept demonstrators, and modernization initiatives
Knowledge of advanced analytic methodologies and experience implementing them to support mission and business objectives
Strong written and verbal communication skills, including the ability to explain complex technical concepts clearly
Python: 4 years (required)

Technology Stack

Python
Pandas, NumPy, SciPy
Matplotlib, Plotly, Dash, Bokeh
Esri ArcGIS Pro, ArcGIS Online
Secure enterprise Esri portals

Benefits

401(k)
401(k) matching
Dental insurance
Health insurance
Life insurance
Paid time off
Parental leave
Referral program
Vision insurance

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1mo ago

Data Scientist

Mediacom Communications Corporation Blooming Grove, NY

Blooming Grove, NY

1mo ago Closed

$100k - $135k/yr Full time Analytics Artificial Intelligence Business Analytics

This position is no longer accepting applications (closed Sep 13, 2026).

Job Description

Medialcom is seeking a Data Scientist to apply machine learning and data science to analytics, advertising, and customer programs in a hybrid role in Blooming Grove, NY.

Responsibilities

Gather requirements and create functional design documents
Analyze large data sets to identify trends and patterns
Build custom predictive data models and machine learning algorithms
Use data visualization techniques to present insights
Apply predictive modeling to improve customer experiences, optimize churn reduction, enhance ad targeting, and support other business outcomes
Develop processes and tools to monitor model performance and data accuracy
Serve as a liaison between business users and technical team members, including outsourced team members
Develop, test, and implement BI reporting artifacts coded in OBIEE or Tableau
Process structured and unstructured data
Provide production support for day-to-day reporting issues, identify problem areas, and develop mitigation solutions
Perform other related duties as assigned

Requirements

Bachelor’s Degree in Computer Science, Statistics/Mathematics, Data Science, or a related field; Master’s degree preferred in the same areas
2+ years of hands-on experience in a Data Scientist role
Experience working with and creating data architectures
Proven track record implementing advanced machine learning algorithms using advanced statistical analysis techniques and concepts
Knowledge of Ensemble Modeling
Strong background in Data Warehousing and report visualization
Excellent Python, SQL, and database skills
2+ years of experience with OBIEE or Tableau
Additional experience with QlikSense or Microsoft Power BI is a plus
Strong communication skills and ability to build positive, professional, productive relationships with business users
Proven ability to manage multiple projects simultaneously and deliver tangible results
Self-sufficient and able to work independently

Technologies

Python
SQL
OBIEE
Tableau
QlikSense
Microsoft Power BI

Location and Salary

Location: Blooming Grove, NY (hybrid)
Salary: USD 100,000 - 135,000 per year

Benefits

Comprehensive Health Coverage: health, vision, and dental insurance
Education Enrichment: up to $5,000 per year for professional development and educational advancement
401(k) retirement plan with company match
Paid Time Off: vacation, holidays, and flexible paid time off
Employee discounts: Mediacom service discounts where available, or reimbursement for internet/cable services where Mediacom isn’t offered
Ongoing training and professional development
Additional benefits and perks

Position Overview

Collaborate with a multi-disciplinary team of marketing, sales, and leadership colleagues to analyze large data sets and improve products, services, Ads, and customer acquisition/retention programs
Design, test, implement, and develop data-based solutions, including reporting and auditing, and preparing large databases for statistical analysis
Own the full lifecycle of model development: data exploration, algorithm design and testing, deployment, and production monitoring and tuning

Additional Information

Salary range disclaimer: $100,000- $135,000

Awards

2025, 2024, 2023, 2022, and 2021 Best Managed Companies
2019 Best Company for Women to Work
2017 Best Company for People of Color and Women to Work
Content & Connectivity Human Resources (C2HR) 2021 Social Impact Award

Equal Opportunity Statement

Mediacom Communications Corporation is an Equal Opportunity/Affirmative Action Employer
Prohibits discrimination and harassment based on race, national origin, religion, age, color, sex, disability, or protected veteran status, or any other protected characteristic under applicable laws
These protections apply across recruitment and hiring, job assignments, performance management, rewards, promotions, training and development, reassignments, discipline, and separations

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1mo ago

Senior Data Scientist

Nestlé Health Science Bridgewater, NJ

Bridgewater, NJ

1mo ago Closed

$130k - $160k/yr Full time Senior Analytics Artificial Intelligence

This position is no longer accepting applications (closed Sep 13, 2026).

Job Description

Join Nestlé Health Science’s Consumer Insights and Analytics team to build and deploy advanced analytics and AI solutions that support business outcomes across Marketing and Sales.

Responsibilities

Develop and implement data science solutions that enable data-driven decision-making and support Consumer Insights & Analytics priorities
Work with large, complex datasets to uncover patterns, build statistical and machine learning models, and address business problems using big data tools such as Databricks, Azure ML, and Apache Spark
Deliver structured data storytelling through strong data visualization to drive impactful decisions
Design deep learning and natural language processing (NLP) models to analyze complex information across business processes
Continuously monitor deployed models, evaluate performance, and refine models to maintain accuracy and relevance over time
Research, test, and evaluate AI technologies to identify the best tools and platforms for business objectives
Incorporate data science innovations into product solutions to improve data, analytical, and automation capabilities
Partner with cross-functional teams and stakeholders to provide expertise across omnichannel analytical projects and keep work aligned to business goals
Build, maintain, and enhance analytics tools to increase capability and speed to value

Requirements

Bachelor’s, Master’s, or Ph.D. in Computer Science, Data Science, Mathematics, Physics, Operations Research, Statistics, or a related field
5+ years experience as a Data Scientist, Machine Learning Engineer, or Applied Scientist, focused on computer vision, natural language processing, or data synthesis
Experience developing and deploying advanced analytical models and algorithms
Practical machine learning experience, including Regression, Clustering, Probability Networks, AI, and Deep Learning
Hands-on programming experience in Python and R, using advanced cognitive and machine learning methods to solve business challenges
Experience with relational databases and cloud technologies including Databricks, Snowflake, AWS, Azure ML, AMC, and BigQuery
Experience transforming raw data into meaningful features for machine learning models
Expertise working with missing data, scaling, encoding categorical variables, and dimensionality reduction techniques
Hands-on experience designing and analyzing A/B tests and other experimental methodologies
Hands-on experience with causal inference to measure impact of business decisions
Experience visualizing and presenting data-driven insights using Power BI and Tableau
Experience building recommendation engines for sales, customer targeting, or supply chain optimization use cases
Experience building and implementing optimization models to improve decision-making
Familiarity with agile methodologies and rapid prototyping in data science projects
Strong knowledge of industry-standard tools and methodologies for model training, statistical analysis, and machine learning deployment
Experience with CPG and ecommerce datasets, including retail analytics and advertising data, is a plus
Experience with AMC (Amazon Marketing Cloud) and Amazon advertising and sales data will receive priority consideration

Technologies

Python, R
Databricks, Azure ML, Apache Spark
Snowflake, AWS, AMC, Big Query
Power BI, Tableau

Location

Bridgewater, NJ (hybrid)

Compensation

USD 130,000 - 160,000 per year
Final compensation may vary based on knowledge, skills and abilities, as well as geographic location

Benefits

Performance-based incentives
401k with company match
Healthcare coverage
Broad range of other benefits
Competitive total rewards package

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1mo ago

Senior AI Engineer

David Joseph & Company New York, NY

New York, NY

1mo ago Closed

$170k - $220k/yr Full time Backend Developer Senior Agentic Ai

This position is no longer accepting applications (closed Sep 13, 2026).

Job Description

The Senior AI Engineer will take end-to-end ownership of a finance domain, delivering production-grade AI agent systems for CFO office workflows. The work is backend-heavy in practice, with full-stack execution across context engineering, prompt and tool design, evaluation, guardrails, and user experience in partnership with finance stakeholders.

Role Overview

You will own the finance domain end to end, covering the complete lifecycle from context engineering and prompt design through tool use, evaluations, and guardrails, along with the UX layer around these systems. You will also collaborate with controllers, accountants, and CFOs to replace manual workflows with reliable production agent systems.

Key Responsibilities

Own a finance domain end to end, including context engineering, prompt design, tool use, evaluations, guardrails, and the UX around these components
Partner directly with controllers, accountants, and CFOs to transition manual processes to production-grade agent systems

Required Qualifications

2+ years building and shipping production AI agents
4+ years of backend or infrastructure engineering
Research background in ML, NLP, or AI agents
Early-stage startup experience (pre-seed to Series B)
On-site role in NYC, six days per week on startup hours

Technologies

Python

Preferred Qualifications

Strong track record in agentic-systems
Additional research background in ML, NLP, or agents
Graduated post-2021 with direct agentic-era experience
Background in fintech, ERP, or accounting software

Compensation and Work Details

Location: New York, NY (on-site)
Schedule: On-site, 6 days/week (startup hours)
Salary: USD 170,000 to 220,000 per year
Equity: 0.1%–0.35%
Employment type: Full-time
Visa sponsorship: Not available

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1mo ago

Data Analyst

QTS Data Centers Irving, TX

Irving, TX

1mo ago Closed

Full time Analytical Skills Analytics Business Analytics

This position is no longer accepting applications (closed Sep 13, 2026).

Job Description

QTS Data Centers is seeking a Data Analyst to support execution-focused analytics across the development lifecycle. Based in Irving, TX (onsite), this role focuses on tracking equipment and OFCI status, construction progress, commissioning, and operational readiness using structured data from multiple systems to power reporting and actionable insights.

What you will do

Develop and manage dashboards and analytics that track engineering progress, equipment/OFCI status, construction, commissioning, and turnover readiness
Work with engineering, procurement, and construction teams to keep equipment demand data accurate and aligned with delivery
Use data from Oracle, Autodesk Forma, Palantir, Smartsheet, CxAlloy, and/or ServiceNow to deliver consistent development execution insights
Identify lifecycle risks and cost drivers to inform TCO planning and investment decisions
Provide structured insights that support scenario planning, procurement timing, and operational risk mitigation
Lead and develop a team of analysts supporting execution data, reporting tools, and system workflows
Partner with Capital Planning, Cost Controls, and Operations teams so lifecycle data supports cross-functional decision-making

Requirements

Bachelor’s degree in Computer Science, Data Science, Statistics, Business Analytics, or a related field (or equivalent professional experience)
3+ years of experience as a Data Analyst, Business Analyst, or similar role, with an emphasis on data analysis and visualization
Proficiency with Snowflake, Tableau, Excel, Smartsheet, or similar tools for data analysis and reporting

Tools & technologies

Oracle, Autodesk Forma, Palantir, Smartsheet, CxAlloy, ServiceNow, Snowflake, Tableau, Excel

Benefits

Medical, dental, vision, life, and disability insurance
401(k) retirement plan
Flexible spending and HSA accounts
Paid holidays and paid time off
Paid volunteer days
Employee assistance program
Tuition assistance
Parental leave and military leave assistance
QTS scholarship for dependents
Wellness program and other company benefits
This position is bonus eligible

Preferred qualifications

Relevant experience in project analytics, reporting, construction management, or development operations
Relevant certifications in data analysis or business intelligence

Knowledge, skills, and abilities

Integrity to maintain honest and open relationships with end users
Execution to complete tasks effectively and efficiently, aligning with user needs
Agility to problem-solve and address end user challenges and project requirements
Development as a self-learner who explores new application features and functionality
Strong analytical and problem-solving skills to interpret complex data sets
Communication skills to convey technical information effectively to non-technical stakeholders