Data Scientist

Why Join INVID 

What sets INVID apart is our collaborative and flexible work environment. We believe great work happens when talented people are empowered to grow, contribute, and support one another. Our hybrid work model provides the flexibility to thrive both in the office and remotely while maintaining a healthy work-life balance. Built on a foundation of trust, respect, autonomy, and accountability, our culture encourages every team member to make an impact and have their voice heard. We are committed to supporting your professional growth through meaningful development opportunities, clear career pathways, and access to industry events and learning experiences. 

Join us, where innovation meets support, and we deliver excellence together. 

Role Summary: 

As a Data Scientist at INVID, you will apply data science, machine learning, and statistical analysis to solve complex business problems and support digital transformation initiatives. You will work with large and diverse datasets, build predictive and analytical models, identify meaningful patterns and trends, and communicate insights through compelling visualizations and recommendations. Your work will help shape strategic decisions, improve operational performance, and drive innovation for our clients across multiple industries. 

Responsibilities: 

• Work with stakeholders across the organization to identify opportunities to leverage company data to drive business solutions. 

• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques, and business strategies. 

• Assess the effectiveness and accuracy of new data sources and data-gathering techniques. 

• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad-targeting, and other business outcomes. 

• Develop company A/B testing framework and test model quality. 

• Coordinate with different functional teams to implement models and monitor outcomes. 

• Develop processes and tools to monitor and analyze model performance and data accuracy. 

 

Requirements: 

• Master's degree in data science, Computer Science, Information Technology, Statistics, Mathematics, Informatics, or related quantitative fields. 

• 5 - 7 years of professional experience as a Data Scientist, preferably within the technology industry. 

• Experience using Python, R, SQL, or similar statistical programming languages to manipulate, analyze, and derive insights from large datasets. 

• Experience developing and applying machine learning models and statistical techniques, including regression, clustering, decision trees, neural networks, predictive modeling, and scenario analysis. 

• Experience working with data architectures, data pipelines, large-scale datasets and querying databases, working with relational and non-relational data sources, creating data visualizations and presenting findings to technical and non-technical stakeholders. 

• Strong knowledge of statistical analysis, data mining techniques, and model evaluation methodologies. 

• Ability to obtain and maintain a Top Secret (TS) security clearance.

• Fully bilingual in English and Spanish, both written and spoken.  

• Must be a US Citizen.  

 

Health & Wellness:  

At INVID, we believe our people are our greatest asset. That's why we invest in their well-being, career development, and work-life balance through a comprehensive benefits package that includes: 

• Hybrid work model 

• Health Insurance: Medical, Dental, Pharmacy, and Vision. 

• Life Insurance 

• Christmas Bonus and Performance Bonus 

• Continued education reimbursement  

• Retirement Plan (401K) 

• PTO and Sick Leave 

• Flexible working hours to support work-life balance 

 

See How We're Shaping the Future

Follow us on LinkedIn and YouTube at @invidgroup to stay connected with the latest tech insights, company culture, and career opportunities. 

Equal Employment Opportunity (EEO) 

INVID is committed to providing equal employment opportunities in accordance with applicable laws and regulations. Employment decisions are based on qualifications, merit, and organizational needs, without discrimination on any legally protected basis.