Data Science Consultant

Description

You will work alongside consumer base marketers on the fiber and fixed wireless access (FWA) markets, using data to shape strategy and build solutions.

You will analyze internal and external data to size the potential of new products, forecast sales, and support decisions across each product's life.

You will weigh the needs of several partners to set the direction of new offerings and help the product team bring strong products to market.

Responsibilities

• Measure how well marketing campaigns perform, using advanced analytics, A/B testing, and return on investment analysis.
• Work with the AI&A team to build sophisticated machine learning models that forecast customer behavior, churn, sales transactions, and revenue.
• Run advanced analytics, modeling, and data mining to generate insight into the business.
• Design distinctive customer lifecycle strategies and cross-BAU behavioral churn programs that flag retention opportunities early.
• Help build executive dashboards, standard reporting frameworks, and clear visualizations so data guides decisions across the organization.
• Turn complex findings into plain business recommendations, keep Cost of Retention (COR) within financial guidance, and support strategic marketing plans.
• Track ongoing and ad hoc metrics, reporting them in reports, presentations, and dashboards suited to each situation and audience.
• Work with Network Engineering, Digital Operations, Finance, and Marketing to align analytical work with business goals.

Requirements

• You rely on proven data for important decisions, and you pair analysis with a strategic mindset, business perspective, and knowledge of the market, not just theory.
• You present data and practical insights so others can understand them, and colleagues trust your detailed analyses.
• You hold a bachelor's degree or have four or more years of work experience.
• You bring at least four years of relevant experience, gained through work, military service, specialized training, or a mix of these.
• You have worked in advanced analytics, measurement, or data science.
• You have hands-on experience with Looker, Qlik, or a similar visual analysis tool, including optimization, large data sets, project management, and interactive dashboards.
• You have built data models in LookML on the Looker platform.
• You have worked with Google Cloud Platform, including BigQuery, Vertex AI, Looker, LookML, and Looker Studio Pro.
• You can write SQL.
• You can turn business problems into analytical solutions.
• Even better: a Master's degree in Data Science, Machine Learning (ML), Artificial Intelligence (AI), Statistics, or a related STEM field.
• Even better: experience applying statistical ideas and methods to data sets to answer business problems.
• Even better: programming in Python, JS, or R.
• Even better: experience with machine learning algorithms and tools.
• Even better: knowledge of Omni Channel metrics and data domain principles.
• Even better: experience with visual science and dashboard design principles.
• Even better: a foundational understanding of generative AI, large language models (LLMs), and retrieval-augmented generation (RAG) frameworks such as LangChain, LlamaIndex, and vector databases.
• Even better: you enjoy communicating findings with integrity, from reviewing raw output with colleagues to building presentations and storyboards that make complex ideas clear to strategic partners.
• Even better: you approach problems with innovation, initiative, and collaboration.
• You are encouraged to apply even if you do not meet every even-better qualification.

Conditions

This is a hybrid role with a set work location that includes working from home and at least three days per week in the office, set by your manager. You are responsible for following hybrid work policies.

Scheduled weekly hours are 40.

Salary varies by location and by confirmed job-related skills and experience. This is an incentive-based position with potential to earn more.

For part-time roles, pay is adjusted to your hours.

The annual salary range for the listed location(s) on a full-time schedule is $81,000.00 - $155,000.00.

Benefits

• Health and wellness coverage includes medical, dental, vision, short and long term disability, basic and supplemental life insurance, AD&D insurance, identity theft protection, pet insurance, and group home and auto insurance.
• A matched 401(k) savings plan.
• Up to 8 company-paid holidays and up to 6 personal days per year.
• Paid parental leave, adoption assistance, and tuition assistance, plus other incentives.
• Newly hired employees receive up to 15 days of vacation per year, which grows with additional service.
• Depending on the role, premium pay such as overtime, shift differential, holiday pay, and allowances may be available.
• Part-time coverage varies, and some benefits may apply depending on your individual circumstances.