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Marchex
Marchex

Data Scientist

Location

Remote restrictions apply
See all remote locations

Salary Estimate

N/AIconOpenNewWindows

Seniority

N/A

Tech stacks

Machine learning
Data
Data Science
+32

Permanent role
2 days ago
Apply now

Marchex has been delivering innovative revenue generation and business optimization solutions for our customers since our founding in 2003, and as a public company since 2004. Marchex harnesses the power of AI and omnichannel conversational intelligence to provide actionable insights aligned with prescriptive vertical market data analytics, driving operational excellence and revenue acceleration. Marchex enables executive, sales, and marketing teams to optimize customer journey experiences across communications channels. Through our prescriptive analytics solutions, we enable the alignment of enterprise strategy, empowering businesses to increase revenue through informed decision-making and strategic execution. Marchex provides conversational intelligence AI-powered solutions for market-leading companies in leading B2B2C vertical markets, including several of the world’s most innovative and successful brands.

Job Impact

In this role, you will be at the forefront of shaping Marchex’s AI-driven solutions by applying advanced data science techniques. Your expertise in areas such as prompt engineering, fine-tuning large language models, and developing agentic workflows will directly influence the evolution of our conversation intelligence platform. By building and optimizing sophisticated machine learning models, you will enable the creation of intelligent systems that automate, enhance, and personalize customer interactions. Your contributions will empower Marchex to deliver innovative, scalable AI capabilities, positioning the company as a leader in leveraging state-of-the-art data science to solve real-world business challenges and drive future growth.

Team

Our technology team is a group of highly skilled and passionate individuals constantly pushing the boundaries of what is possible with technology. We are always looking for new and innovative ways to solve problems and make a positive impact. Marchex culture is one of collaboration, continuous learning, and inclusivity. We value diversity and encourage team members to bring their unique perspectives and approaches to problem-solving.

Outline of Duties and Responsibilies

  • Design and build machine learning models to analyze and classify text and other data.
  • Apply natural language processing techniques to extract meaningful insights from unstructured text data.
  • Collaborate with cross-functional teams to identify business problems and develop solutions.
  • Explore new technologies and techniques to improve the performance of existing models.
  • Create and maintain documentation for all models, code, and processes.
  • Build and test functional prototypes.
  • Partner with engineering to develop data-oriented product features.
  • Work with the business and product teams to understand what information can best impact our clients, with a focus on measured experimentation.
  • Collaborate across the company on data-driven initiatives.
  • Drive customer conversations to understand business context and propose solutions to data problems.
  • Provide clear and concise insights/recommendations from data analysis to team, senior execs and when needed customers.
  • Support the vision and values of the company through role modeling and encouraging desired behaviors.
  • Participate in various company initiatives and projects as requested.

Experience, Skills and Qualifications

  • Master's or Ph.D. degree in Computer Science, Statistics, Mathematics or a related field, or commensurate experience.
  • 3+ years of experience in natural language processing and machine learning
  • Experience working with large language models such as OpenAI’s GPT series or Anthropic’s Claude
  • Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras
  • Strong programming skills in Python and proficiency in data analysis libraries such as Pandas and NumPy
  • Experience working with large datasets and building scalable models
  • Excellent communication and problem-solving skills
  • Familiarity with API frameworks and concepts
  • Familiarity with containerization tools such as Docker and Kubernetes

Working Conditions

The job conditions for this position are in a standard office setting and may be fully or partially remote. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.

Benefits:

Marchex is committed the wellbeing of our employees. To ensure that every employee has the support they need Marchex offers a comprehensive benefits package. Some of these benefits may include, but are not limited to: Medical, Dental, Vision insurance; Life & Disability, Employee Assistance Program, Paid Holidays, Generous PTO, and Retirement Savings (401k/ RRSP). The benefits package offered may differ by location.

*Compensation:

Compensation range listed above may include base salary and short and/or long-term incentives. Exact compensation may vary based on skills, experience, and location.

Marchex’s commitment to diversity:

We value a diverse workplace. Marchex is committed to employ people from diverse backgrounds and we actively demonstrate inclusiveness through fair, equitable and accessible hiring practices. We recognize the strength that comes from different experiences, backgrounds and perspectives and welcome candidates who identify as visible minorities, Indigenous people, persons with disabilities, and persons within the LGBTQ+ community. We feel it is important as an organization that all people have access and opportunity to be employed, to be valued and to be respected. Accommodations for job applicants with disabilities will be provided upon request during the recruitment, assessment, selection and placement process. Alternative format available on request.

About Marchex

👥501-1000
📍Seattle
🔗Website
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