Data Science Leader

Key Skills

Agile methodologies, Business Intelligence, Data Modeling, DevOps, ETL/ELT technologies, Looker, MLOps tools, PowerBI, Python Programming, SQL, Tableau

Job Description

Who You’ll Work With

As a modernized technology company, we've never met a technical challenge we didn't like. We enable our clients to learn from their data, create incredible digital experiences, and make the most of new technologies. We blend design, engineering, and analytics expertise to build the future. We surround our technologists with interesting challenges, innovative minds and emerging technologies.

What You’ll Do

• As a data science leader, you’ll help define and deliver a variety of projects for clients that leverage a variety of techniques across multiple technologies and industries.
• Facilitate discussions with clients on data science opportunities and guide them in understanding the value of analytical data and how to get started with data science initiatives.
• Define and shape the Data Science go-to-market strategy for our local data science team.
• Develop, train, test and deploy data science solutions in cloud environments like AWS, GCP, Databricks, Snowflake or Azure.
• Help establish data science capabilities for clients including defining strategic roadmaps, initiatives, and priorities. You’ll also help define cloud architecture for data science, tool selection, develop and deploy models.
• Build partnerships internal and external partners to support sales processes and team development.
• Provide expertise and guidance on MLOps, and implementing batch analytics and interactive inference in Production environments.
• Leverage technology depth and help clients envision how to integrate analytical insights into business decision making, dashboards, and tools like Salesforce.
• Develop and mentor data scientists, building the team to be capable with new techniques and tools.

What You’ll Bring

• Experience leading and inspiring high-performance teams that can deliver on a variety of projects.
• Ability to engage with senior business stakeholders, execute level communication and influencing skills.
• Experience building, deploying, and scaling data science projects using cloud solutions like AWS, GCP, Azure, Databricks, and Snowflake.
• Experience developing models using a variety of techniques and presenting the findings to stakeholders, as well as providing recommendations on how to incorporate outputs into business processes.
• Experience with the MLOps, DevOps, and agile development processes.
• Strong leadership skills, strategic mindset and experience leading technical teams focused on deploying data and analytics solutions.
• Experience providing coaching, mentorship to team members and advising on career development.
• Experience with data pipelines and ETL processes for analytics, including data transformations using SQL, Python, or similar tools/technologies.

Preferred experience also includes: 

• Proficiency with data visualization and BI tools like Tableau, PowerBI, Looker
• Advanced knowledge of SQL and Python.
• Knowledge of data modeling, theories, and practices to provide optimal cost and performance benefit to clients.