Data Scientist & Machine Learning Engineer
The Data Scientist & Machine Learning Engineer at Confidential Client is responsible for developing, deploying, and managing machine learning models and data pipelines to drive automated decision-making and business insights. This hybrid role involves translating complex business problems into scalable ML solutions, collaborating with cross-functional teams, and maintaining model performance in production environments across multiple US office locations.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Software Development, Technology, Information and Media.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
What You’ll Do
Confidential Client’s Data & Analytics team builds and manages data systems, develops machine learning models, and delivers data-driven insights to support automated decisioning. As a Data Scientist & Machine Learning Engineer you will combine applied data science and engineering to move models from experimentation into reliable production services.
- 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
- Model and promote Confidential Client’s core values through day-to-day interactions
- Other duties as assigned
Who You Are / What You Bring
- 3+ years of experience developing, deploying, and monitoring production data / ML pipelines
- Bachelor’s degree in Mathematics, Computer Science, Data Science, Engineering or other quantitative field required; advanced degree (MS/PhD) in AI/ML preferred
- Deep technical knowledge in one or more: anomaly detection, time-series analysis, structured/unstructured data processing, causal inference, reinforcement learning, embeddings & vector DBs, LLMs, modern MLOps / LLMOps practices
- Professional experience with platforms and tools such as Airflow, Argo Workflows, BigQuery/Databricks/Snowflake, AWS/GCP, Git, Kubernetes, MLflow, Pandas/Polars, PyTorch/TensorFlow, SHAP, and applying AI/LLMs
- Strong programming proficiency in Python and SQL; familiarity with Shell scripting is a plus
- Exceptional problem-solving skills and the ability to work with limited or ambiguous information
- Creative, strategic thinker with strong analytical foundations and a focus on measurable impact
- Collaborative communicator who excels in cross-functional teams
- Highly organized with excellent time management, attention to detail, and execution discipline
- Domain knowledge of the domain name industry or digital identity ecosystem is a plus
- Ability to travel as needed and work across time zones in a global organization
- Reliable transportation to the workplace
Location & Work Model
This is a hybrid role based in the Bellevue, WA office. Candidates who live nearby or are willing to relocate are encouraged to apply.
Compensation & Benefits
- U.S. base salary range for this full-time position: $107,000 - $139,000 (actual pay dependent on experience, internal equity, and location)
- Eligible for discretionary and/or nondiscretionary bonuses and long-term incentive plans
- Comprehensive benefits include subsidized medical, dental, and vision insurance; company contributions to an HSA where applicable; company-paid life and disability insurance; optional supplemental plans
- 401(k) plan with up to a 5% company match
- Paid time off: 15 days vacation (increases to 20 days after one year), 5 days sick leave, 13 paid holidays
- Paid parental leave: up to 20 weeks for birthing parents; 12 weeks for others
- Tuition reimbursement for qualifying expenses (eligibility rules apply)
- Benefits subject to eligibility rules and may vary by location
Other Details
- Employment type: Full-time
- Background check: Offers are contingent upon satisfactory background checks
- Sponsorship: Work sponsorship may not be available for this role; eligibility will be reviewed case-by-case
- Accommodations: Confidential Client is committed to inclusion and will provide reasonable accommodations for qualified individuals during the application and interview process
- Physical requirements: prolonged desk work and ability to lift up to 15 pounds at times
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
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