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Senior Data Scientist

POSITION PROFILE

Senior Data Scientist

Company Profile

DigitalXNode is a leading IT staffing and digital transformation company helping businesses build high-performing technology teams and innovative digital solutions. The company leverages artificial intelligence, software engineering, cloud technologies, data science, and data-driven strategies to accelerate business growth, optimize operations, enhance digital experiences, and support smarter business decisions across industries.

Roles & Responsibilities

  • Develop, evaluate, and optimize predictive models and machine learning algorithms.
  • Perform descriptive, predictive, and prescriptive analytics using large datasets.
  • Assess models, policies, and business practices for fairness, compliance, and risk.
  • Analyze structured and unstructured data to generate actionable business insights.
  • Develop automated data pipelines, algorithms, and analytical solutions.
  • Build dashboards, reports, and data visualizations for decision-making.
  • Partner with business, compliance, legal, and technical teams.
  • Lead data science initiatives and mentor junior team members.
  • Document analytical findings and present recommendations to stakeholders.
  • Support ethical AI, model governance, and responsible AI initiatives.

Experience

5–8 years of experience in Data Science, Machine Learning, Predictive Analytics, Statistical Modeling, Artificial Intelligence, or Advanced Analytics, preferably within banking, financial services, fintech, risk management, compliance, or enterprise analytics environments.

Education & Certifications

Bachelor’s or Master’s Degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, Artificial Intelligence, or a related quantitative field. AWS, Azure, Google Cloud, Machine Learning, Data Science, or Analytics certifications are a plus.

Technical Skills

Python, R, SQL, Hadoop, SAS, SPSS, Scala, AWS, Machine Learning, Predictive Modeling, Statistical Analysis, Data Mining, Big Data Analytics, Data Visualization, Feature Engineering, ETL, Model Validation, Model Governance, AI Ethics, Risk Analytics, Data Warehousing, Business Intelligence.

Programmatic Skills

Python, SQL, R, Scala, Hadoop, Machine Learning Model Development, Statistical Computing, Data Engineering, Cloud Computing, Software Development, Automation, API Integration, Data Processing.

AI Experience

Machine Learning, Artificial Intelligence, Predictive Modeling, Statistical Learning, Model Development, Model Validation, Ethical AI, Responsible AI, Fair Lending Analytics, Consumer Compliance Analytics, Bias Detection, Model Governance, Data Science, Advanced Analytics.

Managerial Experience

Lead small to medium-sized data science projects, mentor junior team members, collaborate with cross-functional teams, coordinate with compliance, legal, and business stakeholders, and support strategic business initiatives.

Operational Experience

Data analysis, model lifecycle management, model validation, compliance analytics, risk assessment, data governance, reporting, research, business intelligence, technical documentation, and process optimization.

Client-Centric Experience

Collaborate with business leaders, compliance teams, legal departments, risk teams, and executive stakeholders to deliver actionable insights, improve operational efficiency, support regulatory compliance, and enable data-driven business decisions.

Location

Vienna, Virginia, Pensacola and Florida USA

JOB DETAILS

Job Type

Full-Time

Job Execution

Remote

Benefits

Competitive Salary, Comprehensive Healthcare Benefits, Retirement Plans, Paid Time Off, Career Development Programs, Professional Training, Employee Recognition Programs, Performance-Based Rewards, and Additional Employee Benefits.

Work Permits

Applicants must be authorized to work in the United States. Current or future visa sponsorship is not available.

Visa Type

Sponsorship Not Available

ADDITIONAL INFORMATION

Years of Experience

5–8 Years

Total Experience

5–8+ Years in Data Science, Machine Learning, Artificial Intelligence, Statistical Analysis, or Advanced Analytics.

Relevant Experience

Data Science, Machine Learning, Predictive Analytics, Statistical Modeling, Data Mining, Big Data Analytics, Python, SQL, R, Hadoop, Scala, SAS, SPSS, AWS, Cloud Analytics, Feature Engineering, ETL, Model Development, Model Validation, Risk Analytics, Consumer Compliance Analytics, Fair Lending Analytics, Responsible AI, Ethical AI, Model Governance, Business Intelligence, Data Visualization, Technical Documentation, Research, Financial Services Analytics, Banking Analytics, Problem Solving, Technical Presentations, Cross-functional Collaboration, Project Leadership, Data Engineering, Advanced Analytics, Business Strategy, Decision Intelligence.

We look forward to welcoming you to our team!

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