Data Scientist

Posted 19 Days Ago
Be an Early Applicant
12 Locations
Remote
Senior level
Information Technology • Consulting
The Role
The Data Scientist will handle and analyze complex data, develop predictive models, and collaborate with stakeholders to meet business needs. Responsibilities include data visualization, compliance, process automation, and continuous learning to stay updated on trends. Communication skills are vital for explaining technical outcomes to non-technical audiences.
Summary Generated by Built In

Nimble Gravity is in search of a talented and passionate Data Scientist to join our growing data science team. The selected individual will play a key role in handling, analyzing, and visualizing complex data, collaborating in the creation of innovative solutions that drive our success in the industry. Additionally, they must participate in meetings with clients, understand and gather requirements, and be able to communicate technical findings to non-technical business people, ensuring that our solutions are relevant and comprehensible. 

 Responsibilities: 

  • Data Analysis and Processing: Apply advanced statistical techniques and machine learning to analyze, interpret, and visualize large data sets.
  • Predictive Model Development: Design, build, and deploy predictive models and algorithms that meet business needs, using tools such as Python, SQL, etc.
  • Communication with Stakeholders: Participate in meetings with clients and internal stakeholders to understand and define business requirements, and communicate technical results in accessible language.
  • Interdepartmental Collaboration: Work closely with engineering, product, and business teams to implement data-based solutions and improvements.
  • Optimization and Automation of Processes: Create and maintain efficient and automated data workflows, using cloud technologies like AWS or GCP.
  • Monitoring and Improvement of Models: Evaluate and monitor model performance, making continuous adjustments and improvements.
  • Compliance with Regulations: Ensure compliance with regulations and ethical practices related to data handling and processing.
  • Continuous Learning: Stay up to date with the latest trends and technologies in data science, participating in training and workshops as necessary.
  • Documentation and Reporting: Create detailed technical documentation and reports that facilitate understanding and replication of processes and results.

Requirements: 

  • At least 5 years of experience working as a Data Scientist or in a related role. 
  • Fluent English, both spoken and written, is essential.

Technical Skills: 

  •  Experience with programming languages such as Python. 
  •  Experience with SQL and relational databases. 
  •  Knowledge in statistical models and machine learning. 
  •  Familiarity with cloud technologies like AWS or GCP.
  •  Knowledge in data visualization libraries like Matplotlib, Seaborn, etc. 

 Soft Skills: 

  •   Ability to work autonomously and in a team. 
  •   Excellent communication and presentation skills. 
  •   Critical thinking and problem-solving abilities. 

Benefits: 

  • Opportunity to work remotely. 
  • Competitive salary and benefits package. 
  • Dynamic work environment and continuous learning culture. 
  • Education and Wellness Program

About Nimble Gravity

Nimble Gravity is a team of outdoor enthusiasts, adrenaline seekers, and experienced growth hackers. We love solving hard problems and believe the right data can transform and propel growth for any organization.

Nimble Gravity is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics, or any other basis forbidden under federal, state, or local law. Nimble Gravity considers all qualified applicants.

Top Skills

Python
SQL
The Company
HQ: Denver, Colorado
76 Employees
On-site Workplace
Year Founded: 2019

What We Do

Nimble Gravity is an international team of outdoor enthusiasts, adrenaline seekers, and growth hackers. We love solving hard problems and believe the right data can transform and propel growth for any organization. We leverage business acumen, data acquisition and engineering and AI/ML tools to generate impactful insights. We’ve built eCommerce operations that range from start-up to over $2B per year. We have the expertise and experience to make your web presence and eCommerce operations faster, bigger, and more profitable

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