Senior Data Science Lead: Real-Time ML & Customer Insights

DataJobs; McLean (VA); On-site; USD 230,000 - 262,000; Full time

Job summary

DataJobs in McLean, VA is seeking a lead machine learning professional to strengthen customer management and enable real-time decisions. This onsite role focuses on building high-impact models for real-time behavioral prediction and valuation forecasts using large-scale data and a broad stack.

You will work with data scientists, software engineers, and product managers, partnering with Upmarket teams and data science/quants to translate complex modeling into tangible business outcomes while

Qualifications

• Degree in a quantitative field with analytics experience as per listed paths.
• At least 2 years using open source languages for large-scale data analysis.
• At least 2 years of experience working with machine learning.
• At least 2 years using relational databases.
• PhD in STEM with 4+ years analytics experience.
• At least 1 year of AWS experience.
• At least 1 year of people management experience.
• At least 5 years of Python/Scala/R for large-scale data analysis.
• At least 5 years of machine learning experience.

Responsibilities

• Collaborate with cross-functional partners to deliver products customers love.
• Use a broad technology stack (Python, Conda, AWS, H2O, Spark) to uncover insights.
• Own machine learning development end to end: design, training, evaluation, validation, implementation.
• Communicate technical work by aligning complex analysis with tangible business goals.

Skills

Python

Scala

R

AWS

Data analytics

Education

Bachelor’s in quantitative field

Master’s in quantitative field

PhD in STEM

Tools

H2O

Spark

Conda

Job description

DataJobs in McLean, VA is seeking a lead machine learning professional to strengthen customer management and enable real-time decisions. This onsite role focuses on building high-impact models for real-time behavioral prediction and valuation forecasts using large-scale data and a broad stack.

You will work with data scientists, software engineers, and product managers, partnering with Upmarket teams and data science/quants to translate complex modeling into tangible business outcomes while