Envista Sr. Data Scientist (Remote-Brea, CA)

Lensa; Boise (ID); Remote; USD 120,000 - 180,000; Full time

Job summary

A leading company is seeking a talented Sr. Data Scientist to join their IT Data & Analytics team. This role involves providing strategic direction on AI and ML applications to optimize various business functions, collaborating with cross-functional teams, and leading innovative projects. Ideal candidates will have extensive experience in data science, strong analytical skills, and proficiency in programming languages.

Qualifications

• 12+ years of experience in AI, ML, and Generative AI models.
• Proficiency in Python, R, or SQL.
• Experience with Databricks, Snowflake, and Tableau.

Responsibilities

• Lead the development of AI, ML, and Generative AI solutions.
• Collaborate with teams to enhance sales and marketing strategies.
• Plan and execute the lifecycle of machine learning models.

Skills

AI

Machine Learning

Data Analysis

Statistical Analysis

Data Visualization

Problem Solving

Education

Bachelor's degree in Data Science or related field

Master’s degree in Data Science

PhD in Data Science

Tools

Python

R

SQL

Databricks

Snowflake

Tableau

Job description

Envista Sr. Data Scientist (Remote - Brea, CA)

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Job Description

JOB SUMMARY

Envista is seeking a talented and innovative Sr. Data Scientist to join our IT Data & Analytics team. This role requires a Data Scientist who can provide thought leadership and strategic direction on how artificial intelligence (AI) and machine learning (ML) can be utilized to optimize Commercial, Human Resources, Financial, and other operational needs. They will work closely with stakeholders using an agile project management framework to plan, design, and execute projects leveraging AI and ML technologies.

The Sr. Data Scientist will develop strategic capabilities in the AI/ML space, designing and implementing strategies that create the essential technical and business process building blocks necessary for understanding the impact of AI/ML and analytics at Envista. They will partner with cross-functional teams to build industry-leading capabilities in operational AI/ML and work with key business operations partners to define operating metrics and enable predictive analytics. The role requires staying current with advancements in machine learning models, framing business questions from a data science perspective, and deriving data-driven solutions. It also involves designing and applying advanced modeling solutions in statistical analysis, bioinformatics, data automation, data mining, machine learning, and data visualization.

Primary Duties & Responsibilities

• Lead the development and implementation of AI, ML, and Generative AI solutions to simplify and automate business processes.
• Collaborate with Commercial teams to understand their needs and provide insights and solutions to enhance sales and marketing strategies.
• Work closely with central G&A functions (Finance, HR, IT, etc.) to identify opportunities for process improvement and innovation through data-driven solutions.
• Plan and execute the full lifecycle of machine learning models.
• Utilize tools and platforms such as Databricks, Python, Snowflake, and Tableau to analyze data, build models, and present findings.
• Stay current with the latest advancements in AI, ML, and Generative AI, and apply this knowledge at Envista.
• Develop and maintain documentation for data science processes, models, and algorithms.
• Provide training and support to team members and stakeholders on AI and ML technologies and best practices.
• Build an AI community at Envista to share best practices, knowledge of different projects, and drive adoption of data science methodologies.

Job Requirements

• Bachelor's degree AND 12+ years of proven experience in AI, ML, and Generative AI models and technologies OR
• Master’s degree in Data Science AND 10+ years of experience in AI, ML, and Generative AI models and technologies OR
• PhD degree in Data Science AND 6+ years of experience with advanced analytics teams at a Medtech or technology company.
• Proficiency in programming languages such as Python, R, or SQL.
• Experience with data analytics tools and platforms such as Databricks, Snowflake, and Tableau.
• Experience in operationalizing algorithms into production systems.

Preferred Qualifications

• Strong analytical and problem-solving skills with the ability to interpret complex data and provide actionable insights.
• Excellent communication and collaboration skills to work effectively with cross-functional teams and stakeholders.
• Ability to manage multiple projects and priorities in a fast-paced environment.

Additional details about salary, company, and legal notices follow, which are relevant but do not require changes.