Data Scientist - Crystal City (DC Area)
Role details
Job location
Tech stack
Requirements
- Proficiency in data-driven solutions, including data extraction, data wrangling, statistical analysis, feature engineering, and predictive modeling methodologies.
- Experience with machine learning algorithms such as Linear Regression, Logistic Regression, Support Vector Machine, Naive Bayes, Decision Tree, Random Forest, K-means, K Nearest Neighbors, Boosting, and ensemble methods.
- Strong programming skills in Python and SQL.
- Familiarity with cloud platforms including Azure, AWS, and Google Cloud.
- Experience with data analytics, data science operations, and deployment of models on cloud environments.
- Knowledge of databases such as MySQL, PostgreSQL, and MongoDB.
- Experience with tools like Power BI, Tableau, Jupyter Notebook, Google Colab, JIRA, and GitHub.
- Frameworks/packages: Sklearn, Numpy, Pandas, NLTK, Matplotlib, Seaborn, Flask.
- Experience with monitoring and dashboarding tools such as Grafana and Datadog.
Work Experience
- Minimum 7+ years in the IT industry, with at least 3+ years as a Data Scientist.
- Experience in domains such as Food, Banking, Aviation, Automobile, and Manufacturing.
- Demonstrated ability to create and operationalize machine learning pipelines, optimize pricing, and recommend best practices for data science lifecycle.
- Experience in coordinating with multiple teams and supporting client business needs.
- Proven track record in standardizing code sharing and data sharing methodologies.
Educational Background
- Master's degree in Data Science or a related field (e.g., MS Data Science from Drexel University).
- Bachelor's degree in Engineering or Computer Science (e.g., BE Electronics and Communication Engineering or Computer Science Engineering).
Achievements and Certifications
- Relevant certifications such as Python for Data Science, Data Visualization Using Python, Machine Learning with Python, Azure Fundamentals, Azure Data Fundamentals, Databricks Lakehouse Fundamentals, AWS Partner: Generative AI Essentials, AWS Cloud Quest: Cloud Practitioner, and Fabric Analytics Engineer Associate.
- Demonstrated success in deploying scalable machine learning solutions and automating processes.
Job-Specific Criteria
- Must be able to engage in discussions with clients to identify and gather business needs.
- Ability to analyze existing project frameworks, identify gaps, and propose enhancements.
- Experience in integrating cloud services and creating dashboards for monitoring and managing model metrics and logs.
- Cultural Fit and Soft SkillsStrong communication, problem-solving, leadership, adaptability, teamwork, critical thinking, and creativity.
- Ability to translate technical insights into actionable strategies and foster collaboration across teams.
- Commitment to continuous improvement and maintaining high standards in data science practices., If you are an individual with a disability, a disabled veteran, or a wounded warrior and you are unable or limited in your ability to access or use this site as a result of your disability, you may request a reasonable accommodation by contacting us via email (gss-hr-er@dxc.com) .
Benefits & conditions
Compensation at DXC is influenced by an array of factors, including but not limited to the experience, job-related knowledge, skills, competencies, as well as contract-specific affordability and organizational requirements. A reasonable estimate of the current compensation range for this position is $76,700 - $142,500.
Full-time hires are eligible to participate in the DXC benefit program. DXC offers a comprehensive, flexible, and competitive benefits program which includes, but is not limited to, health, dental, and vision insurance coverage; employee wellness; life and disability insurance; a retirement savings plan, paid holidays, paid time off.
At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We're committed to fostering an inclusive environment where everyone can thrive.