Lead Data Scientist | Houston, TX | $125K–$140K + Equity + Hybrid Flexibility

Lead Data Scientist

Location: Houston, TX (Onsite)
Level: Senior
Reports To: Director of Data Science
Salary Range: $125,000 – $140,000 (USD)
Benefits: Medical, Dental, Vision, Life Insurance, Retirement, Equity, Paid Time Off, Work From Home Flexibility

About the Role

We are seeking a Lead Data Scientist to spearhead transformative projects that drive impact across the organization. This is a hands-on leadership role where you’ll design advanced models, mentor a team of talented data scientists, and partner with senior stakeholders to solve complex challenges. If you thrive at the intersection of technology, business strategy, and innovation, this role offers the perfect platform to showcase your expertise.

What You’ll Do

• Lead high-visibility projects that directly influence business strategy and decision-making.

• Develop and deploy custom algorithms, models, and predictive analytics that unlock value from complex data sets.

• Translate technical insights into clear, compelling stories for executive-level audiences.

• Mentor and coach junior data scientists, elevating the technical capabilities of the team.

• Research and implement cutting-edge machine learning techniques to improve operational performance.

• Partner with cross-functional teams to identify opportunities, resolve data challenges, and optimize processes.

• Stay at the forefront of emerging tools and vendors, recommending best-fit solutions.

What You Bring

• 7+ years of professional experience in data science, with proven project leadership.

• Strong background in machine learning, advanced statistical modeling, and SQL database management.

• Experience in healthcare data, EHR systems, or financial/revenue cycle data preferred.

• Demonstrated ability to design scalable solutions using AWS (certification required).

• Hands-on expertise in Cogito and other data management platforms.

• Exceptional communication skills – able to engage both technical teams and executive stakeholders.

• A problem-solving mindset with the ability to thrive in fast-paced, multidisciplinary environments.

Interview Process

1. Recruiter Interview

2. Hiring Manager Interview

3. Panel Interview

Why Join Us?

Here, your work won’t just be about numbers – it will be about impact. You’ll have the chance to combine advanced data science with real-world problem solving, shaping decisions that matter.

We celebrate growth, encourage innovation, and foster a culture of collaboration. You’ll be supported by mentors, inspired by peers, and empowered to chart your own career path. Our workplace has been consistently recognized as one of the Top Workplaces in the region, a testament to our values-driven culture and commitment to meaningful work.

Benefits at a Glance

• Comprehensive medical, dental, and vision insurance

• Life insurance and retirement plans

• Equity opportunities

• Generous paid time off

• Flexible work-from-home options

Sr. Director, AI & Data Science | $190K–$300K + Bonus | Wayzata, MN (Hybrid)

Sr. Director, AI & Data Science

📍 Location: Wayzata, Minnesota, United States (Hybrid – scheduled work from home days)
💼 Industry: Information Technology
📊 Category: Business Intelligence
📌 Job Type: Full-time | Onsite with WFH flexibility
💲 Compensation: $190,000 – $300,000 + bonus eligibility
📈 Relocation Assistance: Possible for ideal candidate

About the Company

Our company’s size and scale allow us to make a positive global impact. We are a family company providing food, ingredients, agricultural solutions, and industrial products that are vital for living. With 160,000 colleagues across 70 countries, we connect farmers, customers, and families with essentials every day.

Job Purpose

The Sr. Director of AI & Data Science is a visionary leader responsible for driving high-impact AI applications across the business. This role partners with executives to identify opportunities where AI can provide strategic advantage, shaping how data science transforms decision-making, operations, and customer experience.

The leader will:

• Champion responsible AI practices (governance, risk mitigation, ethics).

• Deliver measurable business outcomes from AI investments.

• Lead and scale a global team of data scientists (transitioning from regional to global scope).

Key Responsibilities

• Partner with business leaders to identify and accelerate AI opportunities.

• Translate complex AI concepts into business-focused narratives for executives.

• Provide strategic oversight of AI product delivery (scope, timeline, budget).

• Champion innovation, continuous improvement, and AI adoption across the business.

• Develop a community of practice for global data scientists to drive reuse and alignment.

• Build and maintain strategic partnerships and alliances to maximize value.

• Lead, coach, and develop a team of 16+ data scientists in an inclusive culture.

• Manage large budgets, ensure measurable ROI, and deliver against business value targets.

Minimum Qualifications

• Bachelor’s in Data Science, Computer Science, Math, Engineering, or related field (or equivalent experience).

• 8+ years of related work experience.

• Experience with at least two machine learning approaches: supervised, unsupervised, reinforcement learning.

• Proven ability to present complex AI solutions to non-technical audiences.

Preferred Qualifications

• Master’s or PhD in Data Science, Computer Science, Math, Engineering, or related field.

• 5+ years of leadership experience (managing teams of data scientists).

• Experience driving enterprise-wide analytics adoption.

• Familiarity with CI/CD pipelines, distributed computing frameworks, and AWS.

• Background in software development/version control.

• Strong business acumen and experience presenting to senior executives.

• Experience in Agriculture or related industries is a plus.

Compensation & Benefits

💲 Base Salary: $190,000 – $300,000
🎯 Bonus Eligible: Yes
🏥 Comprehensive health & wellness benefits
🍼 14 weeks parental leave + prevention & wellness programs
🌎 Sick & Safe Leave: 1 hour for every 30 worked (up to 48 hours annually, unless otherwise required by law)

Candidate Profile

• 7–10+ years’ experience in AI, Data Science, and Analytics.

• Proven ability as a strategic champion to drive AI adoption at scale.

• Leadership experience managing diverse data science teams.

• Strong emotional intelligence (EQ) and collaborative leadership style.

• Comfortable influencing senior executives and non-technical stakeholders.

✅ Security Clearance Required: No
✅ Visa Candidates Considered: No
✈️ Travel: Occasional

Senior / Lead Machine Learning Engineer | Python, PyTorch, AI | Fully Remote | $180,000–$215,000

Senior / Lead Machine Learning Engineer

🌍 Location: Fully Remote
💼 Employment Type: Full-time
💰 Compensation: $180,000 – $215,000 (base salary, depending on experience)
📊 Benefits: Full package included

About the Role

We’re seeking a Senior/Lead ML Engineer to drive the development of advanced enterprise AI and intelligent data applications. This is a hands-on role that combines machine learning, data engineering, and software development to deliver practical, production-ready solutions with measurable impact.

If you’re excited about tackling complex engineering challenges in high-standard environments, this role offers strong career growth opportunities, including senior technical leadership pathways.

Key Responsibilities

• Lead platform upgrades to ensure products remain cutting-edge and effective.

• Design and manage dynamic dashboards using Python SDKs to turn data into actionable insights.

• Optimize data pipelines and access patterns for performance and scalability.

• Troubleshoot and resolve runtime and performance challenges.

• Architect robust, scalable, and user-friendly applications designed for long-term growth.

• Collaborate closely with Product Managers to improve usability and ensure real-world impact.

What You Won’t Do

❌ Work in silos – this role requires versatility across ML, data systems, and software engineering.
❌ Focus solely on research without real-world implementation.

Tech Stack

• Languages & Tools: Python (primary), Docker, Git

• Libraries & Frameworks: pandas, numpy, scikit-learn, PyTorch

• Systems & Processes: CI/CD pipelines, monitoring tools, testing frameworks

Requirements

✅ 4+ years of professional Python software engineering with experience in production ML deployment (beyond prototyping).
✅ Proven experience with the end-to-end ML lifecycle: model development → deployment → monitoring.
✅ Strong production systems background in rigorous engineering environments (Big Tech or top-tier startups preferred).
✅ Bachelor’s degree in Computer Science from a top 15 university (Ivy League, Stanford, MIT, CMU, etc.).
✅ U.S. Citizenship and ability to obtain a government security clearance.

Preferred Qualifications

• Experience in defense-related applications.

• Exposure to multiple programming languages and diverse tech stacks.

Soft Skills

• Strong written and verbal communication.

• Pragmatic approach with a focus on delivering incremental value.

• Collaborative, with the ability to mentor and influence peers.

Candidate Profile – Not a Fit If

🚫 Job hopper (<2 years per role).
🚫 Focused mainly on research/data science without production deployment.
🚫 Strong theoretical ML background but lacking hands-on implementation.
🚫 No experience with CI/CD, monitoring, or scalable architecture.
🚫 Consulting/contract-heavy career history.

Compensation & Benefits

💰 Base Salary: $180,000 – $215,000
📦 Benefits: Comprehensive full package
🛫 Travel: Occasional, interview travel reimbursed
📍 Relocation: Not available

👉 Ready to shape the future of AI-driven enterprise applications? Apply now and step into a role where your engineering expertise drives real-world innovation.

Data Engineer | Azure, Databricks, Python, SQL, Spark | Hybrid – Netherlands (€3,500–€5,000/month)

Data Engineer

📍 Location: Eindhoven area or Randstad, Netherlands (Hybrid – 3 office days / 2 home days)
💼 Employment Type: Full-time
💵 Salary: €3,500 – €5,000 per month (€45,360 – €64,800 annually)
🎯 Experience Level: Mid-level | 2–3 years’ experience

About the Role

Do you love working with data — from digging into sources and writing clean ingestion scripts to ensuring a seamless flow into a data lake? As a Data Engineer, you’ll design and optimize data pipelines that transform raw information into reliable, high-quality datasets for enterprise clients.

You’ll work with state-of-the-art technologies in the cloud (Azure, Databricks, Fabric) to build solutions that deliver business-critical value. In this role, data quality, stability, and monitoring are key — because the pipelines you create will be used in production environments.

Key Responsibilities

• Develop data connectors and processing solutions using Python, SQL, and Spark.

• Define validation tests within pipelines to guarantee data integrity.

• Implement monitoring and alerting systems for early issue detection.

• Take the lead in troubleshooting incidents to minimize user impact.

• Collaborate with end users to validate and continuously improve solutions.

• Work within an agile DevOps team to build, deploy, and optimize pipelines.

Requirements

• 🎓 Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.

• 2–3 years of relevant experience in data ingestion and processing.

• Strong knowledge of SQL, Python, and Spark.

• Familiarity with container environments (e.g., Kubernetes).

• Experience with Azure Data Factory, Databricks, or Fabric is a strong plus.

• Experience with data model management and dashboarding (e.g., PowerBI) preferred.

• Team player with strong communication skills in Dutch and English.

• Familiarity with enterprise data platforms and data lakes is ideal.

What We Offer

• 💶 Salary: €3,500 – €5,000 per month

• 🌴 26 vacation days

• 🚗 Lease car or mobility budget (€600)

• 💻 Laptop & mobile phone

• 💸 €115 monthly cost allowance

• 🏦 50% employer contribution for health insurance

• 📈 60% employer contribution for pension scheme

• 🎯 Performance-based bonus

• 📚 Training via in-house Academy (hard & soft skills)

• 🏋️ Free use of on-site gym

• 🌍 Hybrid work model (3 days in office, 2 days at home)

• 🤝 Start with a 12-month contract, with option to move to indefinite after evaluation

Ideal Candidate

You are a hands-on data engineer who enjoys data wrangling and building robust pipelines. You take pride in seeing your code run smoothly in production and know how to troubleshoot quickly when issues arise. With strong technical skills in SQL, Python, and Spark, plus familiarity with cloud platforms like Azure, you’re ready to contribute to impactful enterprise projects.

👉 Ready to make data flow seamlessly and create business value? Apply now to join a passionate, innovation-driven team.

Senior Analyst- Revenue Analytics - USA, Brentwood TN - $80,000 - $95,000

Senior Analyst- Revenue Analytics

USA, Brentwood TN

$80,000 - $95,000

Job Description

We have an opportunity for a Senior Analyst, Revenue Analytics - Hybrid. The Senior Analyst, Revenue Analytics provides financial analysis and analytics support to operations, financial operations, and the Revenue and Network Management area with a focus on Revenue Cycle. Creates and maintains various monthly/weekly reports and ad hoc patient revenue analyses to support both the revenue cycle and managed care teams.

We are a leader in community-based care and driven by a mission of Making Communities Healthier. Our diversified healthcare delivery network spans 29 states and includes 63 community hospital campuses, 32 rehabilitation and behavioral health hospitals, and more than 170 additional sites of care across the healthcare continuum, such as acute rehabilitation units, outpatient centers and post-acute care facilities. We believe that success is achieved through talented people. We want to create places where employees want to work, with opportunities to pursue meaningful and satisfying careers that truly make a difference in communities across the country.

ESSENTIAL FUNCTIONS:

·        Utilize models and several Business Intelligence (BI) tools to gather, manipulate, and analyze data to provide insight into the company and its revenue cycle partners.

·        Collect, aggregate, and analyze data from multiple internal and external sources to drive insights into business performance.

·        Drive business decisions by providing quantitative and qualitative data analysis and reporting of patterns, insights, and trends to decision-makers.

·        Summarize reimbursement by payor, facility, insurance plan, etc., to analyze underpayments or various payment scenarios.

·        Design, develop, and deliver ad hoc reporting and data analysis for the Revenue Cycle departments utilizing SQL, Power BI, Tableau, Business Objects, and other query tools.

·        Redesign reporting processes, creating databases, and build reporting models requiring an understanding of business processes, reporting needs, and a very complex information system.

·        Assist with training and mentoring of other analytic staff.

·        Manage report development lifecycle including requirements, design, development, testing, and support.

·        Troubleshoot and analyze data issues within reports.

·        Develop and maintain other BI and analytics standards including data sources and a data dictionary.

·        Update standard revenue cycle reports per their reporting schedule or as needed.

·        Regular and reliable attendance.

·        Perform other duties as assigned.

Additional Information:

·        Position serves both internal co-workers and external customers, clients, patients, contractors, and vendors.

·        Access to and/or works with sensitive and/or confidential information.

·        Exhibit a basic understanding of healthcare regulatory and compliance (e.g., HIPAA). Skilled in the application of policies and procedures. Knowledge of Business Office Standards and Recommended Practices.

Senior Data Engineer - USA, Remote - $110,560 to $155,840

Senior Data Engineer

USA, Remote

$110,560 to $155,840

Job Description

You are a driven and motivated problem solver ready to pursue meaningful work. You strive to make an impact every day & not only at work, but in your personal life and community too. If that sounds like you, then you've landed in the right place.

The Data Science AI Factory team is committed to exploring new ways to use data and analytics to solve business problems.  The team utilizes a variety of data sources, with a strong focus on unstructured and semi-structured text using NLP to enhance outcomes related to claim, underwriting, operations and the customer experience. 

As a Sr. Data Engineer, you will be an established thought leader through close partnerships with expert resources to design, develop, and implement data assets for a wide range of new initiatives across multiple lines of business. The role involves heavy data exploration, proficiency with SQL and Python, knowledge of service-based deployments and APIs, and the ability to discover and learn quickly through collaboration.  There is a need to think analytically and outside of the box while questioning current processes and continuing to build on the individual’s business acumen.

There will be a combination of team collaboration and independent work efforts.  We seek candidates with strong quantitative background and excellent analytical and problem-solving skills. This position combines business and technical skills involving interaction with business customers, data science partners, internal and external data suppliers and information technology partners.

Responsibilities

• Identify and validate internal and external data sources for availability and quality. Work with SME’s to describe and understand data lineage and suitability for a use case.

• Create data assets and build data pipelines that align to modern software development principles for further analytical consumption. Perform data analysis to ensure quality of data assets.

• Create summary statistics/reports from data warehouses, marts, and operational data stores.

• Extract data from source systems, and data warehouses, and deliver in a pre-defined format using standard database query and parsing tools.

• Understand ways to link or compare information already in our systems with new information.

• Perform preliminary exploratory analysis to evaluate nulls, duplicates and other issues with data sources.

• Work with data scientists and knowledge engineers to understand the requirements and propose and identify data sources and alternatives.

• Produce code artifacts and documentation using Github for reproducible results and hand-off to other data science teams.

• Propose ways to improve and standardize processes to enable new data and capability assessment and to enable pivoting to new projects.

• Understand data classification and adhere to the information protection and privacy restrictions on data.

• Collaborate closely with data scientists, business partners, data suppliers, and IT resources.

Experience & Skills

Candidates must have the technical skills to transform, manipulate and store data, the analytical skills to relate the data to the business processes that generates it, and the communication skills to document & disseminate information regarding the availability, quality, and other characteristics of the data to a diverse audience. These varied skills may be demonstrated through the following:

• Bachelor’s degree or equivalent experience in a related quantitative field

• 5 + years experience accessing and retrieving data from disparate large data sources, by creating and tuning SQL queries. Understanding of data modeling concepts, data warehousing tools and databases (e.g. Oracle, AWS, Snowflake, Spark/PySpark, ETL, Big Data, and Hive) 

• Demonstrated ability to create and deliver high quality Python code using software engineering best practices. Experience with object-oriented programming and software development a plus. Proficiency with Github and Linux highly desired.

• Ability to analyze data sources and provide technical solutions. Strong exploratory and problem-solving skills to check for data quality issues.

• Determine business recommendations and translate into actionable steps 

• Self-starter with curiosity and a willingness to become a data expert

• Demonstrate a passion to both learn new skills and lead discovery of the data research 

• Results oriented with the ability to multi-task and adjust priorities when necessary 

• Ability to work both independently and in a team environment with internal customers 

• Ability to articulate and train technical concepts regarding data to both data scientists and partners

Vice President, Customer Experience Solutions (CXS) Development - USA, Remote - $187,000 - $250,000

Vice President, Customer Experience Solutions (CXS) Development

USA, Remote

$187,000 - $250,000

Job Description

Anaxi, the Real Money Gaming divisions of Our Technology, is looking for a Vice President, Customer Experience Solutions (CXS) Development who will develop product strategy, plan execution, and lead / technical manage an organization that delivers apps, products and systems that enhance the end customer's experience aligned with the emerging trend toward "gaming anywhere".  The successful leader will be responsible for delivery of a global CXS portfolio aligned with business expectations and customer needs and developing a high-performance culture and talented pool organization with agility mindset in a demanding business industry.

Roles and Responsibilities:

·        Lead and facilitate the creation of governing principles in partnership with PMO and Product team towards effective program planning, execution, and tracking

·        Partner closely with the architect group towards effective use of technology, frameworks, build vs. buy strategy and technical investment in alignment with business needs and development efficiencies

·        Responsible for Org. structure changes in alignment with business needs and product portfolio

·        Establish strategy around global talent for full time employees as well as third party/staff augmentation models

·        Responsible for leading and submitting overall budget needs for full fiscal year across all product lines of development as well as forecasts and tracking throughout the year

·        Ensure that projects are completed within budget and in an economical manner

·        Oversee estimation and execution of project work plans.  Direct revisions as appropriate to meet changing needs and requirements

·        Minimize schedule and technical risk by foreseeing and addressing obstacles proactively and aggressively

·        Analyze and review the development processes and/or tools to increase operating efficiency or adapt to new processes

·        Maintains knowledge of emerging technologies and trends in engineering and development related to the organizations industry

·        Negotiates cost-effective contracts, coordinates, and implements contractors work, and resolves any disputes over labor, scheduling, or payments

·        Experience leading projects that involve hardware solutions with effective use of latest technology to maximize operational efficiencies

·        Hands-on leader, who works with the team providing delivery and technical directions and solutions when needed

·        Represents CXS Technology by sharing the vision, strategy, and updates on project deliverables on behalf of CXS

·        Other duties as assigned

Skills and Experience:

·        Bachelor’s degree in Computer Science, Engineering, or a related field

·        15+ years of experience of the conceptualization, design, development and go-to-market implementation of scalable technology solutions that maximize engagement and enhance the customer experience

·        15+ years of people management experience

·        Must have strong leadership skills in the areas of performance management, employee engagement and talent development

·        5+ years of experience leading global teams across different time zones (ex. India, Australia, US)

·        5+ years of P&L management

·        Understanding and experience with the UI/UX discipline towards collaborating with the UI/UX team

·        Requires experience in delivering secured solutions

·        Demonstrable experience in relevant technologies including Cloud, Big Data, IOT, .NET Core, Angular, ELK, Microsoft, Linux, Debian, Microservices design, and Mobile on Ionic, React

·        Experience delivering Mobile solutions

·        Experience developing DevOps strategies and execution plans

·        Great leadership and motivational skills

·        Strong communication and interpersonal skills

·        Must have strong analytical and innovative problem-solving skills

·        The hire must be able to obtain and maintain a Gaming Control Board licensing in Nevada (NGCB) and other gaming jurisdictions in which we operate

Azure Data Engineer - Irving, TX Full-Time, Permanent - $110,000 - $120,000

Azure Data Engineer
Irving, TX
Full-Time, Permanent
$110,000 - $120,000

Required Skills:

• Experience in GCP/Azure, Strong Data modelling, Python, Experience with RDBMS, Big Data processing frameworks and tools (Cloudera, Sqoop, Hive, Impala, Spark), DevOps tools and techniques (e.g. continuous integration, Jenkins, Puppet, etc)

Preferred Skills:                                     

• Experience building/migrating data pipeline from on-prem to Cloud (GCP or any cloud)

• Understanding of cloud technologies

• Unix Scripting

• Tableau and Excel tool expertise

Job description:                                     

• Build data pipelines to ingest data from On-prem to cloud

• Experience with Big Data processing frameworks and tools (Cloudera, Sqoop, Hive, Impala, Spark)

• Experience with DevOps tools and techniques (e.g continuous integration, Jenkins, Puppet, etc)

• Experience software development on a team using Agile methodology

• Build data standardization & transformation logic using framework following Object Oriented Programming concept

• Write Unit Test scripts

• Implement standardized error handling & diagnostic logging

• Schedule and maintain production workflows on-prem as well as cloud

• Troubleshoot and resolve QA and Production defects

• Handle code review and code deployment