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

Identity Digital; United States; Hybrid; USD 107,000 - 139,000; Full time

Job summary

Identity Digital is seeking a Data Scientist and Machine Learning Engineer to translate complex business problems into data modeling and ML solutions. You will collect, clean, transform, and validate data for model development, explore datasets for patterns and insights, and design and deploy predictive models in production.

The role requires 3 years of hands-on experience with data ML pipelines, strong Python and SQL skills, and familiarity with modern MLOps tools.

Qualifications

• 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 topics such as anomaly detection time series analysis data processing and ML methods
• Strong programming in Python and SQL; Shell scripting a plus
• Knowledge of the domain name industry or digital identity ecosystem is a plus

Responsibilities

• 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
• 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 health
• Communicate findings and collaborate with stakeholders, engineers and domain experts

Skills

Python

SQL

Shell scripting

Airflow

Argo Workflows

BigQuery

Databricks

Snowflake

Kubernetes

MLFlow

Pandas

Polars

PyTorch

TensorFlow

SHAP

LLMs

Education

Bachelor's Degree in Mathematics Computer Science Data Science Engineering or other quantitative field

Tools

Airflow

Argo Workflows

BigQuery

Databricks

Snowflake

AWS

GCP

Git

Kubernetes

MLFlow

Pandas

Polars

PyTorch

TensorFlow

SHAP

Job description

Summary Objective

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

What Youll Do

Translate complex business problems into data modeling and machine learning solutionsCollect clean transform and validate data for analysis and model developmentExplore data to identify patterns trends anomalies and actionable insightsDesign train evaluate and refine predictive or optimization modelsSelect appropriate features algorithms metrics and validation strategiesBuild reproducible data and machine learning pipelinesDeploy models for batch or real time inferenceDevelop and maintain infrastructure for reliable model servingMonitor model performance data quality drift latency and operational healthCommunicate findings and collaborate with stakeholders engineers and domain expertsActively models and promotes Identity Digitals core values through day to day interactions behaviors and decision makingOther duties as assigned

Who You Are

What You Bring 3 years of experience in developing deploying and monitoring production data ML pipelinesBachelors Degree in Mathematics Computer Science Data Science Engineering or other quantitative field is required; Advanced degree Masters or PhD in AIML preferredDeep 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 practicesProfessional 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 LLMsStrong programming proficiency in Python and SQL; familiarity with Shell scripting is a plusExceptional problem solving skills with the ability to diagnose and resolve issues from limited or ambiguous informationCreative and strategic thinker with a strong analytical foundation and a focus on measurable impactCollaborative communicator who excels in cross functional environments and builds strong working relationshipsHighly organized with excellent time management attention to detail and execution disciplineKnowledge of the domain name industry or digital identity ecosystem is a plusAbility to travel as neededAbility to work across time zones as part of a global organization as neededReliable transportation to the workplacePhysical Requirements Prolonged periods of sitting at a desk and working on a computerMust be able to lift up to 15 pounds at times

Location

This is a hybrid role based in one of our US offices Bellevue WA Denver CO El Segundo CAWe welcome applications from candidates who currently live near these locations or are willing to relocate

Salary Range

The US base salary range for this full time position is 107000 139000 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 andor nondiscretionary bonuses and long term incentive plan Actual compensation will be influenced by a candidates qualifications internal employee equity considerations and location We will not ask for information about a candidates current or past compensation for purposes of developing an offer of employment US team members and their spouses domestic partners andor 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 companys 401k 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 theres an opportunity for tuition reimbursement for qualifying expenses Note Benefits programs are subject to eligibility requirements and may vary in certain locations

A few things to know about us

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

Background Check Statement

At the time of an offer you will be required to complete a background check Any offer is contingent upon a satisfactory background check

Sponsorship Statement

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

Accommodation Statement

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 careersidentitydigital