Job Title: Staff Data Scientist Location: 100% remote *Telecommuting role to be performed anywhere in the U.S. Job Duties: Design and develop systems to organize and streamline the use of data in the organization. Identify relationships and trends in data, as well as any factors that could affect research results. Analyze and interpret statistical data to identify significant differences in relationships among sources of information. Adapt statistical methods to solve specific problems in many fields, such as economics, biology, and engineering. Develop software applications or programming to use for statistical modeling and graphic analysis. Develop and test experimental designs, sampling techniques, and analytical methods. Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighing raw data. Process large amounts of data for statistical modeling and graphic analysis, using computers. Determine whether statistical methods are appropriate, based on user needs or research questions of interest. Report results of statistical analyses, including information in the form of graphs, charts, and tables. Design research projects that apply valid scientific techniques and use information obtained from baselines or historical data to structure uncompromised and efficient analyses. Evaluate sources of information to determine any limitations, in terms of reliability or usability. Examine theories, such as those of probability and inference, to discover mathematical bases for new or improved methods of obtaining and evaluating numerical data. Present statistical and nonstatistical results, using charts, bullets, and graphs, in meetings or conferences to audiences such as clients, peers, and students. Salary: $243,800 - $365,600 /year Job Requirements: Bachelor's degree (U.S. or foreign equivalent) in Computer Science, Statistics, Biochemistry or related field and ten (10) years of experience in the job offered or related role OR Doctorate degree (U.S. or foreign equivalent) in Computer Science, Statistics, Biochemistry or related field and five (5) years of experience in the job offered or related role. Must have five (5) years of experience with: high performance computing, such as running data pipelines and/or numerical optimization on on-prem or cloud-based distributed systems; Python; and scientific programming, including code-based data analysis and optimization leveraging tools like Spark, pandas, numpy, and Mathematica. Must have three (3) years of experience with SQL and multiple databases. Must have three (3) years of databricks infrastructure management experience. Must have three (3) years of cloud data management experience, including cost accounting. Must have two (2) years of end-to-end experience building machine learning pipelines.

Company Description Founded in 2009 and headquartered in McLean, VA, Xcelerate Solutions (www.xceleratesolutions.com) is one of America's fastest-growing companies. Xcelerate’s culture is defined by our diversified workforce of dynamic and versatile professionals, supported with growth and development opportunities that contribute to individual and company growth. This strong commitment to our employees has been recognized by our inclusion on the Washington Business Journal’s “50 Best Places to Work” list as well as being a “Great Place to Work” certified company with a 4.6 star, and a 99% CEO approval Glassdoor rating. Come find out why Xcelerate Solutions is one of the DC Metro top employers! Job Description Xcelerate Solutions is seeking an experienced Data Scientist & Visualization.  We are seeking a Data Scientist / Visualization Specialist to design and deliver intuitive, interactive analytic applications and dashboards in Palantir Foundry. This role emphasizes application development, data visualization, and UI/UX ensuring developed products are easy to use and can support decision-makers and operators across the enterprise. You will partner closely with data scientists and data engineers to bring analytics to life. Come join our award-winning organization and work with some of the most talented and brightest minds in the GovCon industry. Location: Remote Security Clearance: Secret Responsibilities: Design and develop user-facing analytic applications and dashboards in Palantir Foundry Translate complex data models and analytics into clear, compelling visualizations Build interactive, data-driven UIs that embed analytics and metrics into workflows Collaborate with data scientists and engineers to integrate analytics, AI outputs, and ontologies Apply UX/UI best practices to deliver accessible, intuitive, and scalable applications Collaborate in an Agile/Scrum environment to rapidly iterate on solutions Communicate insights effectively to technical and non-technical stakeholders Qualifications Minimum Requirements: Experience building data-driven applications or dashboards Strong data visualization and storytelling skills Experience with BI and visualization tools (PowerBI, Tableau, Qlik, or similar) Proficiency in Python Experience with Python-based visualization libraries (plotly, matplotlib, seaborn) Understanding of data analysis and EDA to work effectively with source data Experience wrangling and aggregating data from multiple data sources Grasp of UX/UI best practices for analytic applications Comfort working in a dynamic Agile/Scrum environment with evolving or loosely defined requirements Excellent collaboration and communication skills. Experience with Palantir Foundry, Databricks, or similar data platforms Active Secret Clearance Preferred Qualifications Prior Army Contractor experience Experience supporting modernization cloud project Knowledge of TypeScript for front-end or application-layer development. Experience building rapid analytic demos or apps (e.g., Streamlit) Hands-on experience with Palantir Foundry (pipelines, transforms, Workshop, Ontologies, AIP, etc.) – particular focus on Workshop and Ontologies Experience with data platform operations, monitoring, or optimization Experience building and maintaining ETL pipelines supporting analytic applications Experience with AI/ML and statistical modeling tools and python libraries (e.g., scikit-learn, statsmodels, Prophet; NLP tools such as spaCy or NLTK) Proficiency in Python for analytics and data pipelines (e.g., pandas, polars, PySpark) Additional Information Xcelerate Solutions is an Equal Employment Opportunity/Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, age, equal pay, disability, veteran status, sex, sexual orientation, gender identity, genetic information, or expression of another protected characteristic. As part of this commitment to the full inclusion of all qualified individuals, Xcelerate provides reasonable accommodations if needed because of an applicant's or an employee's disability. Pay Transparency Notice: Xcelerate Solutions will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant.

• Build and scale Scrambly’s data science function from the ground up • Define the long-term strategy and lead hands-on execution across machine learning, personalization, experimentation, forecasting, fraud prevention, and internal decision intelligence • Manage an external data science/ML agency while building Scrambly’s internal data science and AI team • Own Scrambly’s applied AI strategy, including LLM-powered features and internal AI tools • Collaborate closely with engineering, product, design, marketing, operations, fraud, and leadership teams to drive data-informed decisions

• Drive end-to-end analytical discovery: define questions, shape hypotheses, perform root-cause analysis, and identify second-order effects • Produce high-context, narrative-driven analysis that shapes product decisions—not just dashboards or metrics reporting • Design tracking plans and instrumentation schemas; work with engineering to ensure correct implementation • Implement automated alerting and monitoring to surface health issues, funnel breaks, outliers, and behavior shifts in real time • Lead the design, execution, and interpretation of experiments (A/B tests, multivariate tests, staggered rollouts) • Select and apply appropriate statistical techniques (frequentist/Bayesian, CUPED, time-series methods).