Requirements
python
sql
azure
spark
phd
problem solving
Please note: Our current onsite work schedule requires attendance from Monday through Thursday each week, with remote work permitted on Fridays.
The Senior Data Scientist holds a leadership role within the data team, bringing extensive experience to bear on complex and ambiguous business challenges. They play a pivotal role in shaping and executing the organization's analytical strategy, utilizing advanced analytical techniques to provide innovative solutions. Collaborating seamlessly with members of the DNA team, cross-functional teams, and key stakeholders across the enterprise, the Senior Data Scientist contributes valuable insights to guide decision-making and drive strategic initiatives. With a focus on delivering heightened value, they navigate ambiguous problem domains, leading the team in tackling sophisticated analytical tasks. In addition to their analytical prowess, Senior Data Scientists actively mentor and guide junior team members, fostering a culture of continuous learning and excellence. Their overarching goal is to elevate the data science capabilities of the organization, ensuring impactful contributions to business objectives.
- A Builder and Problem Solver: You thrive in ambiguous environments, shaping structure out of complexity. You’re motivated by solving hard, high-impact problems — from modeling resident behavior to optimizing pricing systems — and take pride in seeing your work move from prototype to production.
- Business-Curious and Insight-Driven: You’re as comfortable digging into the data as you are discussing trade-offs with business leaders. You ask sharp questions, produce clear narratives, and connect analytical outcomes to decisions that drive measurable results.
- Act as a seasoned communicator, effectively conveying technical concepts and insights to audiences with varying levels of technical expertise, embodying the senior perspective in articulating complex ideas with clarity and impact
- Effective communication and collaboration skills
- Experience with natural language processing, computer vision, and deep learning
- Time management and organizational abilities
- Hands on experience with one of the major cloud platforms preferred, Azure experience a plus
- Master’s degree or PhD in Computer Science, Software/Computer Engineering, Mathematics or related discipline
- Collaborative and Technical Mentor: You enjoy working alongside data engineers and analysts to bring models to life, and you naturally elevate those around you — sharing code practices, explaining modeling choices, and helping others see the “why” behind the work.
- Expert in Python and SQL, competency in Scala/Java/C++ also considered
- Significant experience with supervised and unsupervised machine learning methods
- Experienced with data platforms like Databricks of Snowflake or processing frameworks like Apache Spark
- Adaptability to learn new technologies and tools
- Scientifically Rigor and Pragmatic: You pair strong statistical and machine learning foundations with the judgment to choose the right level of complexity. You care about sound experimentation and model validity but know that elegant, deployable solutions matter most.
- 4-8+ years of relevant experience in data analytics roles
Benefits
Salary: $150,000 - $184,000 per year; in addition to base salary, a discretionary 13% annual bonus is provided.
The successful candidate's starting pay will be determined based on job-related skills, experience, and qualifications.
- Social Wellbeing: Paid holidays, annual vacation time, paid sick leave, new parent benefits, adoption assistance
- Physical Wellbeing: Medical, dental, vision care and wellness programs
- Career Wellbeing: Leadership Development, Tuition Assistance
- Community Wellbeing: Paid Community Service Hours
- Financial Wellbeing: Competitive Compensation, 401(k) Retirement Savings Plan, Rent Discounts, FSA/HSA, and company-paid life & disability insurance
Training + Development
Information not given or found
