Data Scientist/Engineer

Job Summary

We are seeking a versatile professional to join our data team in Washington, DC. This role combines strong data engineering capabilities with advanced data science and machine learning expertise. The successful candidate will design, build, and maintain robust data pipelines while developing predictive models, performing advanced analytics, and delivering actionable insights that drive business value. This position requires a strong technical foundation, problem-solving skills, and the ability to collaborate effectively with cross-functional teams.

Key Responsibilities

• Design, build, and maintain scalable, reliable data ingestion, processing, and transformation pipelines using tools such as Python, Spark, Databricks, Airflow, or cloud-native services (Azure, AWS).
• Develop and optimize data models, data warehouses, and lakehouse architectures to support both analytical and machine learning workloads.
• Build, train, deploy, and monitor machine learning and deep learning models for various use cases including prediction, classification, recommendation, and generative AI.
• Perform feature engineering, exploratory data analysis (EDA), and statistical analysis to support model development and business insights.
• Implement MLOps practices including model versioning, CI/CD for ML, containerization, and monitoring of production models.
• Conduct statistical analysis, A/B testing, causal inference, and predictive analytics to solve complex business problems.
• Ensure high data quality, implement data validation, monitoring, and governance processes across the data lifecycle.
• Work closely with business teams, analysts, and leadership to understand requirements, translate them into technical solutions, and communicate findings effectively.
• Optimize data pipelines and ML models for scalability, cost-efficiency, and performance at scale.
• Leverage modern data stack technologies including SQL, Python (Pandas, Scikit-learn, TensorFlow/PyTorch), Spark, Databricks, MLflow, and cloud platforms.
• Maintain clear documentation of data pipelines, models, and processes. Mentor junior team members and promote best practices.
• Stay up-to-date with emerging technologies in data engineering and data science and evaluate their potential value for the organization.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Engineering, or a related quantitative field.
• 5 years' experience working in a hybrid Data Scientist and Data Engineer capacity.
• Advanced proficiency in Python and strong command of SQL for complex data querying and manipulation.
• Hands-on experience with big data processing frameworks like Apache Spark or Databricks, and workflow orchestration tools like Apache Airflow.
• Solid understanding of data warehousing, lakehouse architectures, and designing scalable ETL/ELT pipelines.
• Practical experience building and deploying models using libraries.
• Experience with cloud-native data services on Azure and AWS.
• Knowledge of data quality standards, data validation techniques, and data security governance practices.
• Strong analytical mindset with the ability to turn raw data into structured actionable business solutions.
• Excellent written and verbal communication skills, including the ability to clearly explain technical concepts to non-technical audiences.
• Must be a US Citizen.
• Ability to obtain Public Trust Clearance.

Location

Washington, DC (5 Days a week onsite)

Washington, DC, the nation's capital, offers a rich history, diverse culture, and a vibrant urban environment, making it an exciting place to work and live.

Benefits
PEAK's benefit offerings available for our associates include medical, dental, vision, Flexible Spending Account (FSA), Dependent Care Savings Account (DCA), and 401K plan. PEAK believes that taking care of our team is essential for success and we are proud to provide benefits that enhance both your well-being and your future. Additionally, our associates may be eligible for Paid Sick Leave as required by Federal, State, or local laws.  

Equal Opportunity Employer (EEO) 
PEAK Technical Staffing is committed to creating a diverse and inclusive environment and is proud to be an Equal Opportunity Employer. PEAK does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status, or any other characteristic protected by applicable law. All employment decisions are made based on qualifications, merit, and business need. We encourage all individuals to apply. 

Americans Disabilities Act (ADA) 
The physical and mental requirements described in this job description are representative of those that must be met by an employee to successfully perform the essential functions of the position. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions. Must be able to perform the essential physical functions of the position, including sitting, standing, walking, stooping, kneeling, and lifting up to 25 pounds, with or without reasonable accommodation. 

Candidate Privacy
To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://peaktechnical.com/privacy-policy/ and https://peaktechnical.com/ca-residents-privacy-rights/  

AI Recruiting Disclosure 
We use AI-assisted tools to help review applications and compare your experience to job requirements, but all hiring decisions are made by human recruiters. You may request a human-only process or opt out of automated communication at any time. Required notices and our latest bias audit are available on our website: www.peaktechnical.com/ai-disclosure.