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Exact Data Jobs (NOW HIRING)

Ensure every trained model can be traced back to the exact data and code that produced it. Model Registry & Artifact Management * Registry: Build and operate a first-class model registry - versioned ...

Ensure every trained model can be traced back to the exact data and code that produced it. Model Registry & Artifact Management * Registry: Build and operate a first-class model registry - versioned ...

Senior Data Analyst

Manhattan, NY · On-site

$110 - $125/hr

Develop data models to extract/classify/summarize metadata from unstructured documents to forecast ... The exact compensation at which this job is filled will be determined by the skills and experience ...

New

Staff MLOps Engineer

Austin, TX · On-site

$120 - $160/hr

Ensure every trained model can be traced back to the exact data and code that produced it. Model Registry & Artifact Management * Registry: Build and operate a first-class model registry -- versioned ...

New

Exact Solar is hiring for a solar site visit technician. The site visit technician visits homes and ... data collection process. Candidate must also interact regularly with the sales team to ensure any ...

... data collection process. Candidate must also interact regularly with the sales team to ensure any special information requests are understood before and after each site visit. Exact Solar In business ...

Become part of Exact Solar family. Our professional, team-based culture provides a supportive ... data to operations management, and ensure timely and accurate completion of installation of all ...

Become part of Exact Solar family. Our professional, team-based culture provides a supportive ... data to operations management, and ensure timely and accurate completion of installation of all ...

Data Engineer

Suitland, MD · On-site

$123K - $148K/yr

Three years of practical work experience with data technologies to include but not limited to one or more (exact, similar, or equivalent software) of the following: * Spark * Scala * Hive * Hadoop

Data Engineer

Suitland, MD · On-site

$123K - $148K/yr

Three years of practical work experience with data technologies to include but not limited to one or more (exact, similar, or equivalent software) of the following: * Spark * Scala * Hive * Hadoop

... openings; exact level is determined during the interview process. What experience, skills, and ... Data-driven salaries that reward performance and ownership. Meaningful Equity. Flexibility with ...

Data Architect - Wealth Management

Naperville, IL · On-site

$63.75 - $82/hr

... exact job title and job location in your email message. Data Architect- Wealth Management Position Description Join a collaborative data and analytics team building a modern, cloud native data ...

Data Architect - Wealth Management

Chicago, IL · On-site

$65.75 - $84.50/hr

... exact job title and job location in your email message. Data Architect- Wealth Management Position Description Join a collaborative data and analytics team building a modern, cloud native data ...

Showing results 21-40

Exact Data information

What is Exact Data?

Exact Data is a company that specializes in providing targeted consumer and business email lists and data solutions for marketing purposes. Businesses use Exact Data's services to reach specific audiences through direct marketing campaigns, lead generation, and customer acquisition. The company maintains a large database of contacts, allowing clients to filter and customize lists by demographics, geographic location, and other criteria. This helps organizations improve the effectiveness of their marketing efforts and connect with their ideal customers.

What are some typical challenges faced by professionals working in Exact Data roles, and how can they overcome them?

Professionals in Exact Data roles often encounter challenges related to ensuring high data accuracy, managing large and complex datasets, and keeping up with evolving data privacy regulations. To overcome these, it's important to develop strong attention to detail, continuously update knowledge on compliance standards, and utilize automated tools for data validation and cleaning. Collaboration with IT and compliance teams is also crucial to maintain data integrity and address any discrepancies swiftly.

What are the key skills and qualifications needed to thrive as a data analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields like mathematics, computer science, or economics. Experience with data visualization tools (such as Tableau or Power BI), SQL, and statistical programming languages like Python or R is typically required, along with certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate. Attention to detail, problem-solving abilities, and effective communication are standout soft skills for this role. These skills are crucial for transforming raw data into actionable insights that drive informed business decisions.

What is the difference between Exact Data vs Data Analyst?

AspectExact DataData Analyst
Required CredentialsTypically requires a degree in data science, statistics, or related fields; certifications like Microsoft Certified Data Analyst are commonUsually requires a degree in statistics, computer science, or related fields; certifications like Microsoft Certified Data Analyst are also common
Work EnvironmentOften works in data-focused roles within tech, finance, or marketing companies, primarily in office settingsWorks across various industries, analyzing data to inform business decisions, often in office or remote settings
Employer & Industry UsageUsed by companies needing precise data management and analysis, such as data firms or tech companiesEmployed by diverse industries including finance, healthcare, marketing, and consulting for data interpretation

In summary, Exact Data professionals focus on precise data collection and management, often requiring specialized certifications, while Data Analysts interpret and analyze data to support business decisions across multiple industries. Both roles share similar credentials and work environments but differ in their core functions.

More about Exact Data jobs

What states have the most Exact Data jobs?

States with the most job openings for Exact Data jobs include:

Infographic showing various Exact Data job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Staff MLOps Engineer

Apptronik

Austin, TX • On-site

Full-time

Re-posted 23 days ago


Job description

Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. Our flagship humanoid robot, Apollo, is built to collaborate thoughtfully with people, starting with critical industries such as manufacturing and logistics, with future applications in healthcare, the home, and beyond.
We operate at the cutting edge of Applied AI, applying our expertise across the full robotics stack to solve some of society's most important problems. You will join a team dedicated to bringing Apollo to market at scale, tackling the complex challenges like safety, commercialization, and mass production to change the world for the better.
JOB SUMMARY
Apptronik is seeking a Staff MLOps Engineer to own the technical direction of our MLOps platform - the system of record for datasets, experiments, model artifacts, and serving paths that connects teleoperation data collection on one side to deployed autonomy on Apollo on the other. In this role, you will set the architecture for the platform layer above the training cluster: dataset lifecycle, experiment tracking, model registry, evaluation harnesses, and the serving / packaging path that delivers trained policies to robots in the field. You will lead by influence across MLOps, Autonomy, Data Platform, and TeleOp - establishing the standards, contracts, and tooling that turn one-off research code into a repeatable, auditable pipeline from data to deployed model. This is a hands-on technical leadership role, not a management position; you will be a primary contributor while mentoring the engineers around you, and partnering closely with the Training Infrastructure engineer who owns the cluster layer beneath the platform.
ESSENTIAL DUTIES AND RESPONSIBILITIES
Platform Architecture & Ownership
  • Technical Direction: Own the technical direction for the MLOps platform - define subsystem interfaces, drive architecture decisions, and establish engineering standards for how datasets, experiments, and models move through Apptronik's systems.
  • Cross-Team Authority: Serve as the primary technical point of contact for Autonomy, Data Platform, and TeleOp on all matters of model lifecycle and platform contracts.

Dataset Lifecycle & Versioning
  • Versioning & Lineage: Design and operate the dataset layer end-to-end - versioning, lineage, splits, and labeling-integration handoff.
  • Reproducibility: Ensure every trained model can be traced back to the exact data and code that produced it.

Model Registry & Artifact Management
  • Registry: Build and operate a first-class model registry - versioned artifacts, metadata, evaluation results, lineage, and approval workflows.
  • Promotion Path: Define the promotion path from "trained" to "qualified" to "deployed to robot."

Evaluation & Qualification Harnesses
  • Automated Evaluation: Define the offline benchmarks, simulation rollouts, and policy-gating harnesses that any model must pass before reaching Apollo.
  • Metrics Framework: Develop the metrics framework that the autonomy team trusts to gate releases.

Serving, Packaging & Deployment to Robot
  • On-Robot Path: Own the path from registered model to running inference on Apollo - packaging (ONNX, TensorRT, torch.compile), versioning on-robot, rollback, and observability of deployed policy behavior.
  • Telemetry Seam: Coordinate with Connect and Data Platform on the deploy-and-telemetry seam back from the fleet.

Mentorship & Cross-Functional Leadership
  • Mentorship: Mentor mid-level and senior engineers on the MLOps team through code review, design review, and direct collaboration.
  • Influence: Partner with the Training Infrastructure engineer on the cluster/platform contract, and influence research workflows across Autonomy to standardize on the platform's primitives.

SKILLS AND REQUIREMENTS
  • Deep proficiency in Python and at least one systems-level language (Go, Rust, or C++), with demonstrated ability to make and defend architectural tradeoffs in production ML platforms
  • Proven experience owning and delivering an MLOps platform end-to-end - dataset lifecycle, experiment tracking, model registry, evaluation, and serving - at a company that ships models to production
  • Expertise across the model lifecycle: dataset versioning (DVC, LakeFS, Delta, or equivalent), experiment tracking (MLflow, W&B, Determined), model registry, and policy serving
  • Strong background designing service-oriented systems on Kubernetes; comfortable with the contract between platform APIs and underlying compute infrastructure
  • Experience defining evaluation and qualification frameworks for ML models where the cost of a regression is high (robotics, safety-critical, or production-customer-facing)
  • Experience leading technical projects end-to-end: architecture, implementation, validation, and iteration
  • Demonstrated ability to lead by influence across teams - setting standards that other engineers adopt voluntarily, and mentoring engineers around you
  • Proficiency with cloud infrastructure (AWS, GCP, or Azure), Docker, Git, and modern CI/CD workflows

EDUCATION and/or EXPERIENCE
  • Master's degree in Computer Science, Machine Learning, or a related technical field preferred; Bachelor's considered with exceptional experience.
  • 8+ years of professional software engineering experience in ML platforms or related infrastructure, OR 4+ years of direct, hands-on experience owning an MLOps platform that shipped models to production.

Preferred Qualifications:
  • Experience deploying ML models to edge or embedded targets (on-device inference, ONNX Runtime, TensorRT, robot fleets)
  • Experience with RL training and evaluation infrastructure for embodied agents (rollout workers, replay buffers, sim-eval harnesses)
  • Familiarity with humanoid robotics, dexterous manipulation, or teleoperation data domains
  • Experience with simulation-in-the-loop evaluation (IsaacSim, MuJoCo, or equivalent)
  • Familiarity with policy gating, shadow deployments, or staged rollout strategies for autonomy
  • Open-source contributions to MLOps platform tooling (MLflow, BentoML, KServe, Ray Serve, etc.)

PHYSICAL REQUIREMENTS
  • Prolonged periods of sitting at a desk and working on a computer
  • Must be able to lift 15 pounds at times
  • Vision to read printed materials and a computer screen
  • Hearing and speech to communicate

*This is a direct hire. Please, no outside Agency solicitations.
Apptronik provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.