Data Scientist

Key Skills

DevOps, Docker, Git, Google Cloud Platform (GCP), Jenkins, Kubernetes-K8s, Looker, NoSQL, NumPy, Pandas, PowerBI, PyTorch, Scikit-learn, SQL, Tableau, TensorFlow

Job Description

Company Overview

Idea Evolver specializes in audience research and consumer insights as well as designing and engineering Software as a Medical Device applications.

Our primary verticals are healthcare, food, and retail. Our client list includes American Express, Dannon, AstraZeneca, United Therapeutics, Blue Origin, and K. Hovnanian Homes.

Position Overview

We are looking for a highly skilled Data Scientist to join our Consumer Insights team. This position will be responsible for utilizing data to provide valuable insights that inform business decisions and drive growth for our company and our clients.

Responsibilities

• Collect and clean large data sets from various sources such as customer databases, social media, and production applications.
• Analyze and interpret data using statistical techniques and machine learning algorithms.
• Build predictive models to identify patterns and trends in the data and make predictions.
• Communicate insights and findings to stakeholders through data visualizations and reports.
• Collaborate with cross-functional teams, including product managers and marketers, to understand business problems and develop data-driven solutions.
• Continuously monitor the performance of models and identify opportunities for improvement.
• Stay current with the latest data science techniques and technologies to continuously improve the quality of our data-driven insights.

Qualifications

• Undergraduate degree in a quantitative field (computer science, engineering, mathematics, physics, machine learning, statistics)
• 3+ years of industry experience designing, developing, and deploying machine learning models
• Experience with cloud-based ecosystems (GCP preferred)
• Experience with Python and relevant libraries (NumPy, Pandas, Scikit-learn, etc.)
• Willingness to learn Go
• Solid understanding of machine learning model development life cycles and performance assessments
• Experience with Git
• Experience using common machine learning and deep learning libraries and techniques, including TensorFlow, PyTorch, and big data platforms
• Fluency in both structured and unstructured data (SQL, NOSQL)
• Experience with data visualization tools such as Looker, Tableau, or Power BI
• General knowledge of Docker, Jenkins, Kubernetes, and other DevOps tools
• Excellent verbal and written communication skills

Compensation and Benefits:

• Competitive Salary
• Health and wellness benefits
• 401k with company matching
• 20 paid days off plus holidays