Job Description

Overview
At SVG, we are a leader in driving business solutions using analytics and data. The Data Science
team operates at the very heart of this culture, constantly investigating how machine learning can
optimize business, automate processes, improve KPIs, and forecast trends. The Applied Data
Science team is ideal for those who like to be where business and science intersect. They
collaborate with stakeholders across SVG to identify business problems, and then apply data
science skills to optimize objectives and directly impact key performance indicators.

About the role
As a Junior Data Scientist on the Applied DS team you will receive exposure to all facets of data
science at SVG and be given self-development and skills training opportunities. You will work as part
of a team to solve business-related problems using data-driven techniques. You will help transform
our data into tangible business value by performing statistical analysis, contributing to production
services, and communicating the outcomes across business verticals.

_ Responsibilities_

• Learn about and improve existing machine learning systems, or build new ones altogether.
  • Train great models, then create tangible value with them.
  • Develop a purchasing strategy that utilizes others model outputs.
  • Train a close rate model and apply it to a new value stream.
  • Test a hypothesis and utilize the data to drive the way forward.
• Conduct analyses of business topics and present actionable insights to team leadership.
• Build Tableau dashboards to investigate business questions and analyze ML systems.
• Begin writing production-level machine learning and engineering code.
• Create automated solutions that solve operational pain-points and reduce manual work.
• Develop understanding of and utilize our tech stack - including MySQL, Python, AWS (esp.
• SageMaker), Git, FastAPI, and LangChain.
• Share ownership of production workflows, in collaboration with senior team members.
• Demonstrate consistent initiative and follow-through.

Qualifications

_ Qualifications_

• Bachelor’s degree in analytical or technical field, or 2+ years of relevant work experience.
• Experience analyzing data and using it to drive decisions.
• Demonstrated problem-solving skills.
• Passionate about mathematical and statistical applications in business.
• Strong sense of accountability and integrity with exceptional written and verbal communication skills.
• Adaptable, acting with appropriate urgency when needed.
• General understanding of SQL and relational databases.
• Fluency in at least one programming language, preferably R or Python.
• Experience with Tableau or PowerBI to build dashboards.
• Familiarity with basic machine learning concepts.
• A strong work ethic combined with self-awareness and a commitment to continuous improvement. Demonstrated ability to receive and incorporate feedback effectively.

_ Preferred_

• Graduate coursework in Data Science, Statistics, or similar.
• Experience using version control systems and performing code reviews.
• Familiarity with owning 24/7 operational systems.
• Experience in a highly-productive work environment where ambiguity is the norm.

Additional Information

Benefits:

The Company offers the following benefits for this position, subject to applicable eligibility requirements:

• Competitive Compensation
• Medical, Dental and vision benefits after a short waiting period
• 401(k) matching program
• Life Insurance, and Short-term and Long-term Disability Insurance
• Optional enrollment includes HSA/FSA, AD&D, Spousal/Dependent Life Insurance, Travel Assist and Legal Plan
• Generous paid time off (PTO) program starting off at 15 days your first year
• 15 paid Holidays (includes holiday break between Christmas and New Years)
• 10 days of Paid Parental Leave and 5 days of Paid Birth Recovery Leave
• Annual Volunteer Time Off (VTO) and a donation matching program
• Employee Assistance Program (EAP) - health and well-being on and off the job
• Rewards and Recognition
• Diverse, inclusive and welcoming culture
• Training program and ongoing support throughout your Venture Spring Venture Group career

Security Responsibilities:

• Operating in alignment with policies and standards
• Reporting Security Incidents Completing assigned training
• Protecting assigned organizational assets

Spring Venture Group is an Equal Opportunity Employer