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Remote Machine Learning Finance Jobs in Georgia (NOW HIRING)

... financial outcomes. The ideal candidate is equal parts strategist, technologist, and builder ... AI & Machine Learning * Build and scale the organization's AI/ML capabilities, including ...

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

... platforms, machine learning workloads, cloud infrastructure, and data integrations. * Lead root ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

... and machine learning models. What We Are Looking For: We are seeking an experienced and highly ... Flexible work environment and remote work options. Join us and be part of a team building ...

Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ... Candidate can live anywhere in the United States. #LI-MP2 #LI-REMOTE Basic Requirements * 8+ years ...

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Remote Machine Learning Finance information

How do remote machine learning professionals in finance typically collaborate with cross-functional teams?

Remote machine learning professionals in finance often work closely with data analysts, financial experts, and software engineers to develop and deploy predictive models. Collaboration is typically facilitated through virtual meetings, shared documentation, and project management tools. Clear communication and regular check-ins are crucial for aligning goals and ensuring that machine learning solutions address real business needs. Many organizations also encourage participation in virtual workshops and code reviews to maintain a strong sense of teamwork despite the remote setting.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Finance professional, and why are they important?

To excel in Remote Machine Learning Finance, strong analytical skills, a solid background in statistics or mathematics, and experience with financial data are essential, often supported by a degree in computer science, finance, or a related field. Familiarity with programming languages like Python or R, experience with machine learning frameworks (such as TensorFlow or Scikit-learn), and knowledge of financial modeling tools are typically required. Excellent problem-solving, communication, and the ability to work independently are standout soft skills in this remote environment. These abilities are crucial for developing effective financial models, interpreting complex data, and collaborating with distributed teams to drive business value.

What is a Remote Machine Learning Finance job?

A Remote Machine Learning Finance job involves applying machine learning techniques and algorithms to financial data and problems, often from a remote location. Professionals in this field develop models to predict market trends, assess risks, automate trading, or detect fraud using large datasets. Remote roles allow employees to work from anywhere, collaborating with teams virtually and using cloud-based tools to analyze data. These positions typically require strong programming skills, knowledge of finance, and experience with machine learning frameworks.
What are popular job titles related to Remote Machine Learning Finance jobs in Georgia? For Remote Machine Learning Finance jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Finance jobs in Georgia look for? The top searched job categories for Remote Machine Learning Finance jobs in Georgia are:
What cities in Georgia are hiring for Remote Machine Learning Finance jobs? Cities in Georgia with the most Remote Machine Learning Finance job openings:
Vice President, Data Strategy

Vice President, Data Strategy

Trella Health

On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 24 days ago


Job description

At Trella Health, we are passionate and committed to our mission: empowering meaningful change in healthcare. Since our founding in 2015, we continue to grow our team, enhance our solution and services offerings, accelerate into new markets, and expand our customer base. We are rapidly growing and are looking for new Trellavators to join our team!
"What is a Trellavator?" you ask. Innovate and elevate is the name of our game! We go above and beyond to collaborate with and support each other. We believe that when a colleague or customers succeeds, we succeed. By learning from others, building on our successes, and taking risks, we constantly raise the bar. After all, continuous improvement is in our DNA. Our word is paramount, we keep our commitments, and we always follow through. We have a strong, reliable support system that fuels growth, collaboration, and passion-and together, we create a positive environment where everyone at Trella Health, including the customers we support, can thrive. Are you ready to learn more about the opportunities with our team? Trell-yeah you are!
Position Overview:
We are seeking a visionary Vice President of Data Strategy to lead our enterprise data strategy and accelerate our growth as an AI-first healthcare organization. This executive will own the end-to-end data lifecycle-from infrastructure and governance to advanced analytics, machine learning, and generative AI-and translate that foundation into measurable clinical, operational, and financial outcomes.
The ideal candidate is equal parts strategist, technologist, and builder: someone who has scaled modern data platforms, deployed production AI systems, and navigated the unique complexity of healthcare data. You will partner with product, engineering, clinical, and commercial leadership to ensure data and AI are competitive differentiators, not back-office functions.
Location: This is a hybrid role with 1 day a week in our Atlanta or Philadelphia office.
Reports to: Chief Technology Officer
As the VP of Data Strategy at Trella, you will lead:
Strategy & Vision
  • Define and execute a multi-year data and AI roadmap aligned to our enterprise strategy with clear investment cases, KPIs, and ROI milestones.
  • Champion an AI-first operating model: embedding machine learning, predictive analytics, and generative AI into products, workflows, and decision-making across the organization.
  • Serve as the executive voice of data, educating senior leadership, and customers on emerging AI capabilities and responsible adoption.

AI & Machine Learning
  • Build and scale the organization's AI/ML capabilities, including traditional ML, deep learning, NLP on clinical text, and generative AI / LLM applications (RAG, agentic workflows, fine-tuning).
  • Establish MLOps and LLMOps practices covering model development, evaluation, deployment, monitoring, and retraining at production scale.
  • Participate in an AI governance framework addressing model risk, bias, explainability, clinical safety, and compliance with evolving healthcare AI regulations (HHS, FDA SaMD, HTI-1, state-level AI laws).
  • Evaluate and integrate third-party AI platforms and foundation models while building proprietary capabilities that create durable competitive moats.

Data Platform & Engineering
  • Own the data stack: cloud data warehouse/lakehouse (Snowflake, Databricks, BigQuery), ELT (dbt, Fivetran), orchestration (Airflow, Dagster), streaming, and semantic layers.
  • Drive data product thinking: treat datasets, features, and models as versioned, documented, discoverable products with named owners and SLAs.
  • Ensure the platform supports real-time analytics, self-service BI, embedded analytics for customer-facing products, and feature stores for ML.

Analytics & Insights
  • Lead enterprise analytics: product analytics, commercial analytics, clinical outcomes, population health, and financial/operational reporting.
  • Deliver executive dashboards and advanced analytics that directly influence strategy, pricing, product roadmap, and care delivery.
  • Build a high-performance culture of experimentation, A/B testing, and causal inference.

Governance, Privacy & Compliance
  • Own data governance, master data management, data quality, and lineage across clinical, claims, and operational domains.
  • Ensure full compliance with HIPAA, and SOC 2, and applicable state privacy laws; partner with Security and Legal on data sharing agreements, BAAs, and de-identification standards.
  • Establish policies for Protected Health Information (PHI) use in AI training, prompt engineering, and vendor integrations.

People & Organization
  • Build, mentor, and retain a world-class team spanning data engineering, analytics engineering, data science, ML engineering, BI, and data governance.
  • Create career frameworks, hiring bars, and a culture that attracts top AI/ML talent in a competitive market.
  • Develop cross-functional analytics partnerships with Product, Engineering, Clinical, Finance, Sales, and Marketing.

This job might be a fit for you if you have:
  • 10+ years of progressive experience in data and analytics leadership roles, including 5+ years managing multi-disciplinary teams (data engineering, data science, analytics).
  • Healthcare industry experience is required: demonstrated track record working with healthcare data such as claims (Medicare, Medicaid, commercial), EHR/EMR data, clinical coding (ICD-10, CPT, HCC, LOINC, SNOMED), HL7/FHIR, and healthcare interoperability standards.
  • Deep expertise in HIPAA, PHI handling, de-identification (Safe Harbor, Expert Determination), and healthcare-specific data security and compliance frameworks.
  • Proven experience shipping production AI/ML systems at scale.
  • Prior hands-on experience with a modern data stack: cloud data warehouses/lakehouses, SQL, Python, dbt, orchestration tools, and at least one major cloud provider (AWS, Azure, or GCP).
  • Strong grounding in MLOps/LLMOps, feature stores, model monitoring, vector databases, and retrieval-augmented generation (RAG) architectures.
  • Experience owning data governance programs and navigating audits (HITRUST, SOC 2, or equivalent).
  • Exceptional executive communication with the ability to translate complex technical concepts for boards, customers, clinicians, and non-technical stakeholders.
  • Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or related field; advanced degree strongly preferred.

Preferred Qualifications
  • Experience in value-based care, population health, risk adjustment, care management, or life sciences/pharma analytics.
  • Prior experience at a healthcare SaaS, payer, provider, HealthTech, or digital health organization.
  • Familiarity with CMS data (LDS, VRDC, CCW), commercial claims datasets, or real-world evidence (RWE) data.
  • Experience building customer-facing analytics or AI products (embedded analytics, AI copilots, agentic workflows).

About Trella Health:
Trella Health provides unmatched, actionable market intelligence to post-acute care and value-based care providers of all sizes. Our industry leading analytics paired with CRM and EHR integration workflows positions us as the most advanced sales enablement platform for the post-acute care market. One of only a few companies to be deemed both a Qualified Entity by CMS and an Innovator under its Virtual Research Data Center Program, Trella has elite access to billions of performance metrics and referral data to enable competitive positioning across the market. Its standardized insights, representing 90% of all lives 65+ U.S. population, help customers identify, engage, and manage critical relationships and advance their organizations with certainty.
Since launching our first product in 2016, we have experienced tremendous growth and have highlighted a few key data points to get an at-a-glance view of Trella:
  • Over 1,000 customers including 10 of the top 10 post-acute providers and 4 of the top 10 health systems
  • Over 150 team members and growing
  • Recognized as one of Modern Healthcare's "Best Places to Work" in consecutive years and were ranked in the Top 50 startups in the US by LinkedIn
  • Headquartered in Atlanta, GA with remote hubs in Nashville, Philadelphia, the Philippines, and Latin America.

The Trellavator Experience:
At Trella Health, you can expect to join a welcoming team that truly embodies our core values. Our collaborative culture is anchored by trust, transparency, and inclusion-and we also have a lot of fun. No matter where you work, at Trella Health you can expect an awesome team, frequent virtual gatherings, engaging events, casual attire, and more.
We offer competitive salaries with a comprehensive benefits package to all employees and provide an environment that fosters work-life harmonization with Flexible Paid Time Off, along with remote-first work arrangements. As we continue to see exponential growth, our goal is to continue to put team members first and strive to offer our team members the best culture and benefits possible. Some of the benefits we provide are:
  • Health, Dental, Vision & Voluntary Benefits
  • Competitive Salary & Bonus Plans
  • 401k Retirement Savings
  • Flexible PTO & 10 Paid Holidays
  • Flexible Work Hours
  • Equity Shares
  • Paid Leave Programs
  • Marketplace for discounted retail and entertainment

Equal Opportunity Employer
Trella Health is an equal opportunity employer. All persons will receive consideration for employment without regard to race, color, gender, sexual orientation, gender identity or expression, religion, national origin, marital status, age, disability, handicap, veteran status, genetic information, or any other protected status as recognized by federal, state, or local laws.