As a Senior Data Scientist, you'll analyze complex data sets for insights, develop predictive models, apply statistical techniques, and collaborate with cross-functional teams while mentoring others.
The Krazy Coupon Lady (KCL) is a female-founder-owned publisher on a mission to be a shopping non-negotiable, unapologetically helping our readers maximize their money, and seize the deal. Our team of shopping experts curates and hand-tests nearly a thousand deals per week, so there is always something new to discover each time you visit our website, app, and your inbox.
You may have noticed that our headquarters are in Boise, ID, but our workforce is fully remote in the following states: Arkansas, Colorado, Florida, Georgia, Idaho, Illinois, Indiana, Iowa, Minnesota, New Jersey, New York, North Carolina, Ohio, Pennsylvania, South Carolina, South Dakota, Texas, Utah, Virginia, or Wisconsin. All team-wide meetings are scheduled to be inclusive of U.S. time zones.
What You’ll Do:
As a Senior Data Scientist, you’ll play a key role in shaping our data-driven strategy by transforming raw information into meaningful insights and predictive models. Your work will directly impact business decisions and help drive the organization toward its strategic goals.
Who You Are:
You are a curious, innovative thinker who thrives on uncovering insights hidden within complex data sets. With a strong foundation in statistical modeling, machine learning, and data mining, you’re driven to turn data into actionable strategies. You enjoy collaborating across teams, mentoring others, and continuously learning to stay ahead of emerging trends and technologies.
In this role, you will:
- Analyze Data & Generate Insights – Dive into large and complex data sets to identify trends, patterns, and opportunities that inform strategic planning.
- Develop Predictive Models & Algorithms – Build, refine, and optimize models that support decision-making across the organization.
- Apply Statistical Modeling & Machine Learning – Leverage advanced techniques to solve challenging business problems and drive innovation.
- Visualize & Communicate Results – Create compelling data visualizations and reports to clearly present complex findings to stakeholders.
- Collaborate Cross-Functionally – Work with teams in engineering, marketing, operations, and product to ensure data initiatives align with company objectives.
- Mentor & Share Knowledge – Help develop team capabilities by sharing best practices and providing guidance to other data team members
- Innovate & Evolve – Stay on top of emerging tools, technologies, and methodologies to continuously enhance our data science practices.
What You’ll Bring
- Bachelor’s or Graduate degree in a quantitative field (e.g., Statistics, Computer Science, Mathematics, Data Science) or equivalent experience.
- 5-7 years of professional experience in data science or a related field.
- Proficiency in SQL, AWS, Python, or R.
- Strong analytical skills with the ability to solve varied and complex problems independently.
- Excellent communication skills to explain technical concepts to non-technical audiences.
- A collaborative mindset and desire to work across departments and mentor others.
Physical Requirements:
- Use of Fingers: Picking, pinching, typing or otherwise working, primarily with fingers rather than with the whole hand or arm as in handling.
- Talking: Expressing or exchanging ideas by means of the spoken word; those activities where detailed or important spoken instructions must be conveyed to other workers accurately, loudly, or quickly.
- Hearing: Perceiving the nature of sounds at normal speaking levels with or without correction, and having the ability to receive detailed information through oral communication, and making fine discriminations in sound.
- Repetitive motions: Making substantial movements (motions) of the wrists, hands, and/or fingers.
- The worker is required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading.
- The worker is required to have visual acuity to determine the accuracy, neatness, and thoroughness of the work assigned
- The worker is subject to inside environmental conditions: Protection from weather conditions but not necessarily from temperature changes.
About KCL
With our roots in Boise, ID, we’ve grown into a remote company with employees located across the United States. We’re a team focused on hard work, humility, and transparency. We believe in the power of community and the magic of friendship that created KCL so, for us, everything we do is people-first.
KCL values an innovative, diverse workplace where all colleagues feel empowered to be their authentic selves. KCL is an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. By completing that application process, someone from our organization will reach out to you to learn more.
KCL participates in E-Verify:Notice of Participation in E-Verify (Notice in Spanish);Notice of Right To Work: E-Verify (Notice in Spanish)
Top Skills
AWS
Python
R
SQL
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What you need to know about the Charlotte Tech Scene
Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus
