Principal Associate, Data Scientist

Information Technology Senior Management Forum; McLean (VA); On-site; USD 162,000 - 185,000; Full time

Job summary

The Information Technology Senior Management Forum seeks a Principal Associate, Data Scientist to build and deploy ML models using large-scale numeric and textual data onsite in McLean, VA. You will partner across functions to deliver data-driven customer insights and performance improvements.

Responsibilities include designing end-to-end ML solutions with Python, AWS, Spark, and open-source tools, and communicating results to business stakeholders.

Qualifications

• Degree and experience requirements: Bachelor’s 5 years analytics OR Master’s/MBA with 3 years analytics OR PhD.
• Proficiency with statistical methods and data analytics.
• Experience building data science solutions using open-source tools and cloud computing.

Responsibilities

• Collaborate with cross-functional data scientists, software engineers, and product managers to deliver customer-focused products
• Use Python, Conda, AWS, H2O, Spark, and more to extract insights from large numeric and textual data
• Build machine learning models through full lifecycle: design, training, evaluation, validation, and implementation
• Translate modeling complexity into business goals through strong communication
• Develop modeling solutions to improve customer engagement, retention, and experience

Skills

Python

Conda

AWS

H2O

Spark

Dask

SQL

Education

Bachelor’s degree in quantitative field

Master’s degree or MBA with quantitative concentration

PhD in quantitative field

Tools

Python

Conda

AWS

H2O

Spark

Dask

SQL

Job description

The Information Technology Senior Management Forum is seeking a Principal Associate, Data Scientist to support SBB Marketing & Deposit Strategy. The role is onsite in McLean, VA and focuses on building and deploying machine learning models using large-scale numeric and textual data.

Location

McLean, VA (onsite)

Salary

USD 161,800 - 184,600 per year

Role Summary

In this position, you will partner cross-functionally to analyze data and develop modeling solutions that drive customer engagement, retention, and customer experience. You will use open-source and cloud technologies to support end-to-end machine learning development across design, training, evaluation, validation, and implementation.

Key Responsibilities

• Collaborate with a cross-functional team of data scientists, software engineers, and product managers to deliver customer-focused products
• Use a broad technology stack including Python, Conda, AWS, H2O, Spark, and more to extract insights from large volumes of numeric and textual data
• Build machine learning models through the full lifecycle, including design, training, evaluation, validation, and implementation
• Apply strong communication skills to translate modeling and analysis complexity into business goals
• Develop modeling solutions and run analyses to support customer engagement, improve retention, and enhance overall customer experience

Required Education and Experience

Candidates must meet one of the following combinations (with the expectation that the required degree will be obtained on or before the scheduled start date):

• Bachelor’s degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics
• Master’s degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics
• PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)

Technologies

• Python
• Conda
• AWS
• H2O
• Spark
• Dask
• SQL

Team and Mission

• Small businesses make up 99% of U.S. firms and drive 44% of the nation’s GDP
• At Small Business Bank (SBB), the mission is to advocate for entrepreneurs and enable long-term success
• The SBB Data Science team focuses on statistics, machine learning, and emerging AI technologies
• Partnership across the organization supports optimization of the performance and impact of financial products, policies, and services

Ideal Candidate Profile

• Technical: Comfortable with open-source tools and cloud computing; experienced in building data science solutions using open-source languages
• Statistically-minded: Builds, validates, and back tests models; can interpret tools such as confusion matrices and ROC curves; experienced with clustering, classification, sentiment analysis, time series, and deep learning
• Data-focused: Works confidently with big data, retrieving, combining, and analyzing data across multiple sources and structures
• Innovative: Researches and evaluates emerging technologies, staying current on state-of-the-art methods and applications for potential adoption

Preferred Qualifications

• Master’s degree in a STEM field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in a STEM field
• At least 3 years of experience with machine learning and statistical modeling
• At least 3 years of experience with Python, Dask, Spark, etc.
• At least 3 years of experience with SQL
• At least 1 year of experience working with AWS
• At least 1 year of experience with deep learning and emerging AI (including graphs, embeddings, sequence models, or transformer models)