Sr. Data Scientist, AI Engineering (Bi-lingual – Spanish & English)
Do you excel at working cross-functionally to achieve common goals? Would you describe yourself as collaborative, analytical, strategic, and data-driven? If so, you could find a home on the Operational Analytics & Insight (OAI) team at Spectrum.
At Spectrum, we keep customers connected across our 41-state footprint. Our Operational Analytics & Insight team provides the measurement, insights and recommendations that inform our digital strategies. By helping answer critical questions about the customer experience, sales, and operations, this team plays a vital role in delivering the exceptional services and experiences Spectrum is known for.
BE PART OF THE CONNECTION
As a Senior Data Scientist, AI Engineering, on the Operational Analytics & Insights team, you’ll work in a fast-paced, collaborative environment to develop data-driven solutions to Spectrum’s business problems. You’ll have the unique opportunity to leverage and work with cutting-edge AI technologies, including real-time transcriptions and other advanced AI applications. You’ll be empowered to think of new approaches, use analytical, statistical, and programming skills to analyze and interpret data sets, and apply your AI expertise at scale. This role offers an excellent opportunity to lead projects, drive innovative solutions, and further advance your skills and career with Spectrum, all while making a significant impact on our operations and customer experiences.
WHAT OUR SENIOR DATA SCIENTISTS ENJOY MOST
- Planning and leading the complete analytics life-cycle for problem solving, including: requirements gathering, problem formulation, data grooming, data exploration, model prototyping, model validation, and algorithm productionalization
- Leveraging knowledge in analytical and statistical algorithms to assist stakeholders in improving their business
- Leading large-scale exploratory data analyses for new data sources or new uses for existing data sources
- Visualizing and reporting data findings creatively in a variety of visual formats that appropriately provide insight to the stakeholders and explain the importance of patterns in the data.
- Planning effectively to ensure analytics products are flexible, modular, and contain reusable code base
You’ll work in a dynamic office environment. You’ll excel in this role if you are a self-starter who can work independently as well as in a team. If you have a strong command of statistical techniques and machine learning algorithms, as well as a demonstrated practical ability to determine where to invest time, synthesize actionable findings across diverse assignments.
WHAT YOU’LL BRING TO SPECTRUM
Required Qualifications
- Experience:
- Data manipulation and statistical modeling as a Scientist, Consultant, Architect, DBA, or Engineer - 5+ Years
- Programming Experience – 5+ Years
- Education:
- Bachelor’s degree in computer science, statistics, or operations research, or equivalent combination of education and experience
- Skills:
- Bi-lingual – Proficient in written & verbal communication of Spanish & English language
- Proficiency in Python and SQL
- Experience with Large Language Models (LLMs) (finetuning, retraining, and prompt engineering
- Hands-on experience with AI frameworks and libraries such as TensorFlow, PyTorch, or Transformers for building and deploying models
- Familiarity with advanced AI techniques such as Retrieval-Augmented Generation (RAG), vector databases, LLM integration for enhanced information retrieval and generation, GPT and BERT
- Working with text data including Natural Language Processing (NLP) techniques such as tokenization, lemmatization, sentiment analysis, text classification, topic modeling, and entity recognition
- Expertise in data extracting, transforming, and loading (ETL)
- Hands-on experience in designing and developing AI solutions using common industry cloud platforms such as Microsoft Azure ML, Databricks, AWS, Redshift, or Fabric
- Demonstrated analytical and problem solving skills
- Familiarity with the properties of the major families of machine learning techniques
- Abilities:
- Work cross-functionally to solve complex problems
- Perform involved and independent research and analysis
- Maintain confidentiality and appropriately handle sensitive information
- Hybrid Schedule: Four in-office days weekly
Preferred Qualifications
- Experience:
- One or more scripting, analysis, or ETL languages and ability to rapidly learn new languages or techniques
- Large data sets and the tools to obtain, transform, and store data on Big Data and streaming services
- Distributed computing tools such as Hadoop or Map/Reduce
This position is not eligible for immigration sponsorship.
SPECTRUM CONNECTS YOU TO MORE
- Dynamic Growth: The growth of our industry and evolving technology powers our employees’ careers as they move up or around the company
- Learning Culture: We invest in your learning, and provide paid training and coaching to help you succeed
- Supportive Teams: Be part of a strong community that gives you opportunities to network and grow, and wants to see you succeed
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Here, employees don’t just have jobs, they build careers. That’s why we believe in offering a comprehensive pay and benefits package that rewards employees for their contributions to our success, supports all aspects of their well-being, and delivers real value at every stage of life.
A qualified applicant’s criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances.
The base pay for this position generally is between $88,200.00 and $156,600.00. The actual compensation offered will carefully consider a wide range of factors, including your skills, qualifications, experience, and location. We comply with local wage minimums and also, certain positions are eligible for additional forms of other incentive-based compensation such as bonuses.
Who You Are Matters Here
We're committed to growing a workforce that reflects our communities, and providing equal opportunities for employment and advancement. Learn about our inclusive culture.