Numero Data

About the Company

Numero Data is a strategic consulting firm, focused on delivering ERP implementation services and support. Our team is entrepreneurial and forward thinking, and is recognized for our extensive experience in enterprise solutions and industry expertise. Together with our clients, we develop a working environment that fosters creativity, innovation, productivity, and trust. Numero Data defines success by the equal levels of client and individual satisfaction that stem from mutual trust, accountability and productivity. Our entrepreneurial work environment and the opportunities it provides for personal and professional growth is at the center of everything we do. As a result, our clients benefit from service that is second to none and innovative solutions to their business and technical problems. In addition, we work to carry out this same approach within the communities we serve by sharing our time and financial resources.

Listed Jobs

Company Name

Numero Data

Job Title

Data Scientist

Job Description

**Job Title:** Data Scientist **Role Summary:** Senior‑level Data Scientist responsible for designing, developing, testing, and deploying advanced machine learning and deep‑learning models to solve complex business problems. Works cross‑functionally with customers and technical teams, leveraging cloud and big‑data platforms to deliver scalable analytical solutions. **Expectations:** - Minimum 8 years of relevant experience. - U.S. work authorization (U.S. citizen or Green Card holder). - Proven ability to translate ambiguous business challenges into quantitative solutions. - Strong analytical mindset, intellectual curiosity, and a collaborative work ethic. **Key Responsibilities:** - Analyze large, heterogeneous data sets to extract insights and build predictive models. - Design, implement, and validate algorithms and machine‑learning pipelines (TensorFlow, PyTorch, etc.). - Deploy models to production on cloud environments (AWS, Azure, GCP) and integrate with big‑data tools (Hadoop, Spark). - Conduct advanced statistical analysis, data mining, and mathematical modeling. - Write efficient, maintainable code in Python, SQL, and/or R following software development best practices. - Communicate findings and technical concepts clearly to both technical and non‑technical stakeholders. - Collaborate with cross‑functional teams and external customers to ensure solution alignment and adoption. **Required Skills:** - Programming: Python, SQL, R (7–8 years). - Machine‑learning frameworks: TensorFlow, PyTorch (7–8 years). - Cloud platforms: AWS, Azure, or Google Cloud (7–8 years). - Big‑data processing: Hadoop, Spark (7–8 years). - Advanced statistics, data mining, and mathematical modeling. - Software development principles and architecture (5–6 years). - Strong oral and written communication; team player. **Required Education & Certifications:** - Bachelor’s (or higher) degree in a quantitative discipline (e.g., Mathematics, Computer Science, Statistics, Physics, Economics, Engineering, Operations Research, Quantitative Social Science). - Relevant certifications (e.g., cloud platform or machine‑learning certifications) are a plus but not mandatory.

Herndon, United states

Hybrid

Senior

10-09-2025

Company Name

Numero Data

Job Title

Data Analyst

Job Description

**Job Title** Data Analyst **Role Summary** Execute data‑driven analyses by collecting, cleaning, and modeling large datasets to translate business problems into actionable insights. Collaborate with cross‑functional teams to develop and deploy analytical solutions that support strategic decision‑making. **Expectations** - Complete comprehensive training program and demonstrate proficiency in assigned analytical projects. - Deliver accurate, reproducible analyses and maintain clear documentation. - Communicate findings effectively to non‑technical stakeholders. **Key Responsibilities** - Gather, validate, and preprocess data from multiple sources (relational databases, cloud storage). - Design and implement quantitative models using advanced statistical or machine learning techniques. - Develop and automate data pipelines and ETL processes in Python, SQL, or R. - Create dashboards and visualizations to present insights and progress to business teams. - Translate complex business questions into analytic frameworks and propose viable solutions. - Collaborate with customers and internal stakeholders to understand requirements and deliver actionable recommendations. - Maintain documentation of methodologies, data lineage, and codebases. - Continuously improve data processes, model performance, and analytical workflows. **Required Skills** - Programming: Python, SQL, or R (data manipulation, analysis, and modeling). - Relational databases: MySQL (querying, schema design). - Cloud platforms: AWS or Google Cloud fundamentals (storage, compute services). - Software development principles and architecture awareness. - Strong analytical and problem‑solving abilities with quantitative methods. - Excellent written and oral communication, especially for explaining analytical concepts. - Team player mindset with experience collaborating across functions. - Intellectual curiosity and strong work ethic. **Required Education & Certifications** - Bachelor’s degree (or higher) in a quantitative discipline: Mathematics, Computer Science, Physics, Engineering, Economics, Statistics, Operations Research, or Quantitative Social Science. - Relevant certifications in data analysis, cloud computing, or programming are a plus but not mandatory.

Herndon, United states

On site

04-12-2025