Data Scientist & Machine Learning Engineer (Bellevue, Denver or LA)

Posted yesterday

identity digitalEl Segundo (CA)

Data Scientists Computer Systems Design Services

SENIORITY

Senior

SALARY

$107,000 - $139,000 per year

Apply

About the role

Data Scientist And Machine Learning Engineer The Data & Analytics team builds and manages data systems, analyzes information to generate insights, and develops machine learning models to support automated decisioning. As a Data Scientist and Machine Learning Engineer, you will work across (and connect) the expertise of these two related but distinct disciplines.

Your responsibilities will include:

(but not be limited to): deriving data insights to drive decision making, applying ML and modeling techniques to solve business problems, and deploying and managing those models in production.
This role reports to the Director of Business Intelligence.
Translate complex business problems into data, modeling, and machine-learning solutions
Collect, clean, transform, and validate data for analysis and model development
Explore data to identify patterns, trends, anomalies, and actionable insights
Design, train, evaluate, and refine predictive or optimization models
Select appropriate features, algorithms, metrics, and validation strategies
Build reproducible data and machine-learning pipelines
Deploy models for batch or real-time inference
Develop and maintain infrastructure for reliable model serving
Monitor model performance, data quality, drift, latency, and operational health
Communicate findings and collaborate with stakeholders, engineers, and domain experts
Actively models and promotes Identity Digital's core values through day-to-day interactions, behaviors, and decision-making
Other duties as assigned 3+ years of experience in developing, deploying, and monitoring production data / ML pipelines
Bachelor's Degree in Mathematics, Computer Science, Data Science, Engineering or other quantitative field is required; Advanced degree (Masters or PhD) in AI/ML preferred
Deep technical knowledge in several of the following topics: anomaly detection, time-series analysis, structured and unstructured data processing, causal inference, reinforcement learning, embeddings and vector databases, large language models, and modern MLOps / LLMOps practices
Professional development experience with the following tools and platforms: Airflow, Argo Workflows, cloud data warehouses (BigQuery, Databricks, Snowflake), major cloud providers (AWS, GCP), Git, Kubernetes, MLFlow, Pandas, Polars, PyTorch, TensorFlow, SHAP and leveraging AI / LLMs.
Strong programming proficiency in Python and SQL; familiarity with Shell scripting is a plus
Exceptional problem-solving skills with the ability to diagnose and resolve issues from limited or ambiguous information
Creative and strategic thinker with a strong analytical foundation and a focus on measurable impact
Collaborative communicator who excels in cross-functional environments and builds strong working relationships
Highly organized with excellent time management, attention to detail, and execution discipline
Knowledge of the domain name industry or digital identity ecosystem is a plus
Ability to travel as needed
Ability to work across time zones as part of a global organization as needed
Reliable transportation to the workplace
Prolonged periods of sitting at a desk and working on a computer
Must be able to lift up to 15 pounds at times
This is a hybrid role based in one of our US offices:
Bellevue, WADenver, COEl Segundo, CAWe welcome applications from candidates who currently live near these locations or are willing to relocate.

The U.S. base salary range for this full-time position is $107,000 - $139,000 (flexibility based on experience) plus benefits as described below. In addition, the successful candidate will be eligible to receive other compensation from time to time in the form of discretionary and/or nondiscretionary bonuses and long-term incentive plan. Actual compensation will be influenced by a candidate's qualifications, internal employee equity considerations, and location. We will not ask for information about a candidate's current or past compensation for purposes of developing an offer of employment. US team members (and their spouses, domestic partners, and/or dependent children) are covered by generously subsidized medical, dental, and vision insurance which includes company contributions to a Health Savings Accounts. Team members are also covered by company-paid life and disability insurance and have the option of participating in employee-paid supplemental life, accidental death and dismemberment, critical illness, and accident insurance. In addition, team members can enroll in the company's 401(k) plan with up to a 5% match. You receive 15 days of paid vacation yearly, increasing to 20 days after one year. Additionally, you get 5 days of paid sick leave, 13 paid holidays, and 20 weeks of paid parental leave for birthing parents, 12 weeks for others. Also, there's an opportunity for tuition reimbursement for qualifying expenses.

Note: Benefits programs are subject to eligibility requirements and may vary in certain locations. Identity Digital is an Equal Opportunity Employer and does not discriminate based on race, color, religion, sex, age, national origin, veteran status, marital status, sexual orientation, gender identity, disability or any other category prohibited by local, state or federal law. This policy applies to all aspects of employment, including recruitment, placement, promotion, transfer, demotion, compensation, benefits, social and recreational activities, and termination. At the time of an offer, you will be required to complete a background check. Any offer is contingent upon a satisfactory background check. Please note that work sponsorship for this position may not be available now or in the future. While we strive to support our candidates, not all roles will qualify. Eligibility will be reviewed on a case-by-case basis. We are committed to the full inclusion of all qualified individuals. As part of this commitment, Identity Digital will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, please contact our Recruiting Team at careers@identity.digital.

Before you apply

Applying takes about a minute. These four things decide how fast it moves after that.

Your profile is current

It's what we read first. Occupations, seniority and locations matter more than a long history.

Two examples you can talk through

Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.

A number in mind

What you're on now and what would make you move. We negotiate better when we know both.

Your notice period

Employers plan around it, and it's the question that stalls offers most often.

Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.