Employ Pine
Nirvana Enterprises Llc
Data Scientist
Location
Denver, CO, 80204
Job Type
Contractor
Date Posted
27 November 2025
Job Description
Responsibilities
- Develop advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner.
- Implement statistical and data mining techniques e.g. hypothesis testing, machine learning, and retrieval processes on a large amount of data to identify trends, patterns and other relevant information.
- Collaborate with clients and other stakeholders to effectively integrate and communicate analysis finding.
- Evaluate emerging datasets and technologies that may contribute to our existing analytical platforms.
Required Skills
- Knowledge of databases, data modeling, data normalization etc. is a must.
- Exposure to tools – SPSS, SAS, R, Python.
- Excellent communication skills.
- Mandatory skills: Pytorch, Reinforcement Learning experience (RL).
Required Experience
- Docker, Kubernetes experience would be a BIG PLUS!
- 7-10 years of experience in Data Analysis.
- Having hands-on experience on advanced analytics concepts and algorithms (e.g. Regression analysis Logistic Regression/Decision Tree, Monte Carlo methods, Survival Analysis, Simulation, Random Forest, Time series analysis etc.).
- Experience working on developing automated test suites.
Education Requirements
- Bachelor’s Degree in Computer Science, Computer Engineering or a closely related field
Equal Employment Opportunity (EEO): All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Frequently Asked Questions
In Denver, proficiency with Python, SQL, and machine learning frameworks like TensorFlow or PyTorch significantly boosts a data scientist's profile. Familiarity with cloud platforms such as AWS or Azure also helps candidates adapt to local companies' evolving data infrastructure demands.
Denver's tech scene emphasizes practical experience with big data tools and statistical analysis. Junior data scientists here often work closely with cross-functional teams, requiring strong communication skills alongside foundational data science knowledge to thrive locally.
At Nirvana Enterprises Llc, data scientists often advance from associate to senior roles by deepening expertise in data engineering and research analytics. The company supports growth through mentorship and exposure to diverse projects, fostering skill expansion within the data science domain.
Nirvana Enterprises Llc leverages its data scientists to inform decision-making by analyzing complex datasets that guide market positioning and product development. Collaboration between data scientists and business units is a key feature, ensuring analytics align with corporate goals.
Denver's growing tech hub means data scientist roles at Nirvana Enterprises Llc attract a vibrant pool of talent. Candidates often differentiate themselves through specialized skills in data modeling and local industry knowledge, making competition robust but rewarding.
Certifications like Certified Analytics Professional (CAP) or Microsoft Certified: Azure Data Scientist Associate resonate well with Denver employers, including Nirvana Enterprises Llc. These credentials demonstrate a commitment to industry standards and advanced analytics techniques.
Data scientists in Denver typically earn between $90,000 and $130,000 annually, depending on expertise and project complexity. Mid-level roles, like those at Nirvana Enterprises Llc, often offer salaries around $110,000, reflecting the city's competitive tech market and cost of living.
While data scientist analysts focus on interpreting data trends to support business decisions, data science researchers delve into developing new algorithms and models. The former is more application-driven, whereas the latter emphasizes innovation and experimental analytics.
Denver's rapid tech growth means data scientists often juggle integrating legacy data systems with cutting-edge analytics. Navigating regulatory compliance and building scalable models amid shifting industry demands adds complexity to the role.
Yes, Nirvana Enterprises Llc invests in structured onboarding and continuous learning programs, helping associate and junior data scientists acquire advanced skills in data engineering and machine learning, which accelerates their professional growth within the company.
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