Data Scientist – Crystal ; DC Area

Job Description Technical Skills and Competencies

• 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 Git Hub.
• Frameworks/packages:
  Sklearn, Numpy, Pandas, NLTK, Matplotlib, Seaborn, Flask.
• Experience with monitoring and dashboarding tools such as Grafana and Datadog.

• 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.

• 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).

• 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.

• 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 skills: strong 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.

U.S. Citizenship is required due to the nature of the work and to obtain the required security clearance.

Crystal City (DC Area). Candidates are expected to be on‑site multiple days per week.

Compensation range: $76,700 - $142,500. Full‑time hires are eligible to participate in the DXC benefit program, which includes health, dental, vision insurance, employee wellness, life and disability insurance, a retirement savings plan, paid holidays, and paid time off.

DXC Technology Company (DXC) is an Equal Opportunity employer. All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, pregnancy, veteran status, genetic information, citizenship status, or any other basis prohibited by law.

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Please note:

DXC will respond only to requests for accommodations due to a disability.