Senior Data Scientist

We are seeking an experienced and innovative Senior Data Scientist with a minimum of 5 years of hands-on experience to join our growing team. This role is perfect for someone who thrives on solving complex data problems, building machine learning solutions, and turning raw data into strategic insights. Are you passionate about advanced analytics, modern data architecture, and building scalable models? Do you enjoy working with cross-functional teams to deliver high-impact solutions? If so, this opportunity could be the next step in your career.

Primary Role: The Senior Data Scientist will lead the design and implementation of scalable machine learning models, data pipelines, and analytics solutions in support of large-scale data migration and integration projects. You will work with both structured and unstructured datasets using modern big data tools and cloud-based technologies to deliver insights and optimize performance across the organization.

How You Drive Value: Your ability to architect data workflows, build predictive models, and extract meaningful insights will play a key role in driving strategic decision-making. Your technical expertise will enhance our customers' capabilities in data processing, cloud analytics, and AI/ML innovation.

Travel: up to 10%

Candidates are required to reside within the National Capital Region.

You will:

• Collaborate with stakeholders, data architects, and engineers to understand business objectives and identify opportunities for data science solutions.
• Design and develop machine learning models and statistical algorithms that support predictive analytics and operational decision-making.
• Build and optimize ETL/ELT data pipelines using big data tools like Spark and Hadoop to process data at scale.
• Manage large datasets using modern data lake platforms such as Amazon S3, Databricks, and Snowflake.
• Extract, clean, and transform data from relational and non-relational sources including PostgreSQL and SQL Server.
• Develop automated workflows and integrate MLOps tools such as MLFlow for tracking, versioning, and deployment of models.
• Leverage Jupyter Notebooks for data exploration, analysis, and cross-team collaboration.
• Apply advanced deep learning techniques using frameworks such as FastAI to address complex problems.
• Program robust and efficient solutions using Python, R, SQL, Scala, or Java, and support additional scripting in languages such as Go or RUST when needed.
• Conduct statistical testing and hypothesis validation to uncover actionable insights and improve model accuracy.
• Create dynamic dashboards and visualizations using Power BI, Tableau, or Python visualization libraries to communicate findings effectively.
• Stay current with emerging tools, techniques, and trends in data science, cloud technologies, and machine learning.

You Have:

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related discipline.
• 5 years or more experience in data science, analytics, or a similar role with a strong record of delivering business impact through data.
• Strong proficiency in programming languages such as Python, R, SQL, Scala, or Java.
• Proven experience with big data frameworks and tools including Apache Spark, Hadoop, PostgreSQL, and SQL Server.
• Hands-on experience with cloud-based data lake platforms such as Amazon S3, Databricks, and Snowflake.
• Familiarity with ML Flow, Jupyter Notebooks, and deep learning frameworks including Fast AI.
• Practical experience building, validating, and deploying machine learning models in production environments.
• Knowledge of scripting languages like Go or RUST for performance-critical applications.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
• Expertise in visualizing data insights using tools like Power BI, Tableau, or Python libraries such as Plotly and Matplotlib.

We Would Love it if You Had:

• Experience leading data science projects from inception through deployment.
• A strong understanding of ML Ops and automation pipelines for scalable ML delivery.
• Familiarity with model governance, performance monitoring, and optimization in live environments.
• Background working on data migration or enterprise-scale data integration efforts in the public or private sector.

This position offers a unique opportunity to contribute to transformative data-driven initiatives while helping to modernize and secure data operations. If you have a passion for building intelligent systems and delivering real-world impact through data, we encourage you to apply.

Want to hear more? Read on to see what our Team Members say about their experience:

"Atlas Tech has the culture, trust, and fairness that you expect of the best of communities. I feel lucky to be part of their amazing journey of growth as a standout organization." - Syed

"You are not just a number here at Atlas. I have been with Atlas for over 13 years and I can say that Atlas displays a genuine interest in its employees. This is evidenced in its commitment to mentoring every employee and providing educational paths for each employee's personal and professional growth within the company." - Ian

Atlas Tech offers a competitive salary, generous benefits package, and an opportunity to make a positive impact in your own community.