Director, Data Science – Consumer and Developer Experience

This is a fully remote position, open to applicants in California, +3 more states.

📋 Description

• Collaborate with cross-disciplinary teams of data scientists, software engineers, and product managers to create customer-centric products.

• Utilize Python, Conda, AWS, H2O, Spark, and other technologies to extract insights from extensive volumes of numerical and textual data.

• Develop machine learning models through design, training, evaluation, validation, and deployment.

• Convert intricate data science tasks into achievable business objectives.

• Investigate and assess emerging technologies and cutting-edge methodologies.

• Question traditional approaches and work with stakeholders to enhance current practices.

• Foster talent development within the team and the broader organization.

• Gather, integrate, and evaluate data from diverse sources and formats.

⛳️ Requirements

• Bachelor’s Degree with 9 years of experience in data analytics, or a Master’s Degree with 7 years of experience in data analytics, or a PhD with 4 years of experience in data analytics.

• A minimum of 4 years of experience in open-source programming languages for large-scale data analysis.

• At least 4 years of experience in machine learning.

• A minimum of 4 years of experience with relational databases.

• Practical experience in developing data science solutions utilizing open-source tools and cloud computing platforms.

• Knowledge of clustering, classification, sentiment analysis, time series analysis, and deep learning.

• Experience in retrieving, merging, and analyzing data from various sources and structures.

• Preferred: PhD in a STEM field with 5 years of experience in data analytics.

• Preferred: At least 1 year of experience working with AWS.

• Preferred: At least 3 years of experience in people management.

• Preferred: A minimum of 5 years of experience in Python, Scala, or R for large-scale data analysis.

• Preferred: At least 5 years of experience in machine learning.

🏝️ Benefits

• Performance-based incentive compensation, which may encompass cash bonuses and/or long-term incentives (LTI).

• A comprehensive, competitive, and inclusive set of health, financial, and other benefits promoting total well-being.

• Employment authorization sponsorship may be considered for a new qualified applicant.