**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 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. **Additional Information:** - **Clearance:** ***U.S. Citizenship is required due to the nature of the work and to obtain the required security clearance*** **Work Location:** Crystal City (DC Area). Candidates are expected to be on-site multiple days per week. 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. **If you are an applicant from the United States, Guam, or Puerto Rico** 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. View postings below. We participate in E-Verify. In addition to the posters already identified, DXC provides access to prospective employees for the **Federal Minimum Wage Poster, Federal Polygraph Protection Act Poster as well as any state or locality specific applicant posters**. To access the postings in the link below, select your state to view all applicable federal, state and locality postings. Postings are available in English, and in Spanish, where required. View postings below. [Postings Link](https://mandatoryview.com/?LicenceId=c38a7700-5aa2-48a3-b95a-22e6e1fb0721&ProductType=OnlineApplicant) **Disability Accommodations** 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](mailto:GSS-HR-ER@dxc.com). Please note: DXC will respond only to requests for accommodations due to a disability. Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available [here](https://nam12.safelinks.protection.outlook.com/?url=https://careers.dxc.com/global/en%23fraud_warning&data=05%7c01%7cjhanda%40dxc.com%7cdfc9200ee54a4a2cbd1e08dbecc892f9%7c93f33571550f43cfb09fcd331338d086%7c0%7c0%7c638364118427715875%7cUnknown%7cTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7c3000%7c%7c%7c&sdata=s0zVysf9f4QibEs/xNc7yE0vzT4Ae61CRppkSzWUOGw%3D&reserved=0)*.*