Sr. Data Scientist

Posted 6 Days Ago
Easy Apply
Be an Early Applicant
Raleigh, NC, USA
In-Office
Senior level
Software
The Role
The Sr. Data Scientist leads high-impact data science projects, mentors team members, and collaborates with executives to drive data-driven decisions. Responsibilities include architecting machine learning systems, ensuring model performance, and establishing technical standards across the team.
Summary Generated by Built In

Who We Are:

Bandwidth, a prior “Best of EC” award winner, is a global software company that helps enterprises deliver exceptional experiences through voice, messaging, and emergency services. Reaching 65+ countries and over 90 percent of the global economy, we're the only provider offering an owned communications cloud that delivers advanced automation, AI integrations, global reach, and premium human support. Bandwidth is trusted for mission-critical communications by the Global 2000, hyperscalers, and SaaS builders!

At Bandwidth, your music matters when you are part of the BAND.  We celebrate differences and encourage BANDmates to be their authentic selves.  #jointheband

What We Are Looking For:

A Sr. Data Scientist serves as a technical authority and strategic leader within the Data Science team, driving the highest-impact data science initiatives across Bandwidth. They own and lead complex, ambiguous end-to-end data science projects, from opportunity identification and problem framing through model deployment and business adoption, ensuring measurable impact on revenue, efficiency, and competitive differentiation. They act as a force multiplier by setting technical standards, shaping data science strategy, and elevating the capabilities of the broader team through mentorship, code review, and thought leadership. They also partner with senior executives, product leadership, and cross-functional teams to embed data-driven decision-making into Bandwidth's core business processes and long-term strategy.

What You'll Do:

  • Drive end-to-end ownership of high-complexity, high-visibility data science projects, independently navigating ambiguity from problem definition through production deployment and business impact measurement.
  • Architect and implement advanced machine learning systems, including supervised and unsupervised learning, deep learning, ensemble methods, and large-scale optimization, applying rigorous evaluation to ensure production-grade reliability and performance.
  • Define and champion best practices for model development, validation, deployment, and monitoring; establish technical standards that elevate quality and consistency across the team.
  • Translate ambiguous, strategic business challenges into well-scoped data science problems; lead discovery processes with senior stakeholders to align on objectives, constraints, and success criteria.
  • Deliver executive-level data-driven narratives that communicate the strategic value of data science, influencing senior leadership and cross-functional decision-makers to drive resource allocation and organizational alignment.
  • Serve as a technical lead and primary mentor for intermediate and junior data scientists, conducting code reviews, establishing growth plans, and fostering a high-performance team culture.
  • Proactively identify emerging opportunities to apply new techniques, including cutting-edge research, novel architectures, and industry-leading tools to advance Bandwidth's competitive position.
  • Partner with data engineering, software development, and platform teams to design scalable data and AI infrastructure that enables reliable, high-throughput machine learning workflows at enterprise scale.
  • Oversee model performance, data quality, and system health in production environments; lead root-cause analysis and implement robust solutions for drift detection, retraining, and performance degradation.
  • Lead the design and implementation of CI/CD pipelines for AI projects, enabling rapid iteration, reproducibility, and safe deployment practices.
  • Represent the Data Science function in cross-departmental working groups, product planning sessions, and strategic initiatives requiring deep analytical expertise.

What You Need:

  • Education:  
    • Bachelor's degree in Mathematics, Statistics, Computer Science; graduate degree in Data Science or other quantitative field is preferred.
  • Experience: 
    • 7+ years of directly related data science experience, with a demonstrated record of independently delivering impactful, production-grade ML/AI solutions; or a graduate degree plus 5+ years of equivalent experience.
    • Prior experience in a technical lead or informal management capacity is strongly preferred.
  • Skills:
    • Expert-level proficiency in Python, with deep knowledge of the data science and ML ecosystem including pandas, NumPy, scikit-learn, TensorFlow, PyTorch, and MLflow or equivalent MLOps tooling.
    • Advanced mastery of statistical inference, experimental design, and machine learning, including hypothesis testing, causal inference, regression, classification, clustering, deep learning architectures, and model evaluation at scale.
    • Expert knowledge of data structures, SQL, and distributed data processing frameworks (e.g., Spark, BigQuery, Snowflake); strong familiarity with REST APIs and cloud-based ML platforms (AWS, GCP, or Azure).
    • Demonstrated ability to independently define, scope, and deliver solutions to ambiguous, high-stakes business problems through data mining, analytics, statistical modeling, and predictive systems.
    • Exceptional communication and executive presence; proven ability to convey complex technical concepts and strategic insights to product leadership and non-technical audiences in a compelling, business-focused manner.
    • Strong leadership and organizational skills with a track record of mentoring teams, driving cross-functional alignment, and managing multiple high-priority initiatives in a fast-paced environment.
    • Proven ability to influence without formal authority, building consensus and driving adoption of ML/AI solutions across diverse stakeholders.

Bonus Points:

  • Familiarity with big data technologies such as Kafka, Flink, Hadoop, Spark, or distributed computing frameworks for processing and analyzing large-scale datasets efficiently.
  • Experience with MLOps tooling and production ML system design, including feature stores, model registries, and monitoring frameworks.
  • Experience in telecommunications, SaaS, or communications technology industries.

The Whole Person Promise:

At Bandwidth, we’re pretty proud of our corporate culture, which is rooted in our “Whole Person Promise.” We promise all employees that they can have meaningful work AND a full life, and we provide a work environment geared toward enriching your body, mind, and spirit. How do we do that? Well…

  • 100% company-paid Medical, Vision, & Dental coverage for you and your family with low deductibles and low out-of-pocket expenses.
  • All new hires receive four weeks of PTO.
  • PTO Embargo. When you take time off (of any kind!) you’re embargoed from working. Bandmates and managers are not allowed to interrupt your PTO – not even with email.
  • Additional PTO can be earned throughout the year through volunteer hours and Bandwidth challenges.
  • “Mahalo moments” program grants additional time off for life’s most important moments like graduations, buying a first home, getting married, wedding anniversaries (every five years), and the birth of a grandchild.
  • 90-Minute Workout Lunches and unlimited meetings with our very own nutritionist.

Are you excited about the position and its responsibilities, but not sure if you’re 100% qualified? Do you feel you can work to help us crush the mission? If you answered ‘yes’ to both of these questions, we encourage you to apply! You won’t want to miss the opportunity to be a part of the BAND.


Applicant Privacy Notice


  

Top Skills

AWS
Azure
BigQuery
GCP
Mlflow
Numpy
Pandas
Python
PyTorch
Rest Apis
Scikit-Learn
Snowflake
Spark
SQL
TensorFlow
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
Denver, CO
943 Employees
Year Founded: 1999

What We Do

Bandwidth is a software company that’s transforming the way people communicate and challenging the standards of old telecom. Together with our customers, we’re unlocking remarkable value, questioning the status quo, and helping people interact with technology and one another, oftentimes in ways they never dreamed possible. Haven’t heard of Bandwidth? You’ve probably used one of our products before. We power some of the most important communications technologies on the market today—names like Google, Skype and Ring Central to name a few. At Bandwidth, we’ve got a passion for doing things the other way—imagining what they could be and uncovering opportunities to take a new approach to create what should be. We’re out to disrupt the century-old rules of the telecom industry—and that means doing things differently in every area of our business. It’s in the way we treat our people, and how we create with our customers. Whether our engineering teams are crunching code during all-night hack-a-thons or our team members are competing in a Big Idea competition, we love to dive in and get our hands dirty. No idea at Bandwidth is too big or too small, and every voice gets a listen. Our folks have diverse backgrounds from all over the world. Crave innovation? We live for it. No one here is getting a blue ribbon for shaking their head and agreeing with the higher ups. At Bandwidth, we don’t hold back. We speak our minds, share our ideas—and let them soar. We think, we dream, we reimagine what’s possible…because we know that’s the only way we can unlock remarkable value. And that’s what really gets us fired up.

Similar Jobs

Circle Logo Circle

Senior Data Scientist

Blockchain • Fintech • Payments • Financial Services • Cryptocurrency • Web3
In-Office or Remote
52 Locations
1050 Employees
153K-205K Annually

Capital One Logo Capital One

Data Scientist

Fintech • Machine Learning • Payments • Software • Financial Services
Hybrid
5 Locations
55000 Employees
209K-262K Annually

Edmunds Logo Edmunds

Senior Data Scientist

AdTech • Automotive • Big Data • Consumer Web
Remote or Hybrid
USA
500 Employees
137K-189K Annually

Helix Logo Helix

Senior Data Scientist

Healthtech • Biotech
Remote or Hybrid
United States
200 Employees
139K-186K Annually

Similar Companies Hiring

Milestone Systems Thumbnail
Software • Security • Other • Big Data Analytics • Artificial Intelligence • Analytics
Lake Oswego, OR
1500 Employees
Fairly Even Thumbnail
Software • Sales • Robotics • Other • Hospitality • Hardware
New York, NY
Kepler  Thumbnail
Fintech • Software
New York, New York
6 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account