Data Scientist
Job
Alchemer
Louisville, CO (In Person)
$155,000 Salary, Full-Time
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Job Description
Who You Are Be Curious We ask questions, seek to understand others, and stay curious about the problems we solve. Curiosity fuels creativity and innovation
Alchemer.com ). What You Will Do We're looking for a Data Scientist who thrives at the intersection of innovation and real-world impact. This role is focused on building, testing, and refining algorithms and machine learning models that power product experiences at scale. You'll work closely with Product and Engineering to turn complex data problems into production-ready solutions. From developing full-scale algorithms to fine-tuning models, your work will directly influence products used by tens of thousands of users globally. If you're someone who thinks AI is exciting and also wants to understand what's happening under the hood and build it yourself, this role is for you. How You Will Spend Your Days Design, develop, and optimize machine learning models and algorithms for real-world product applications Translate ambiguous business problems into scalable data science solutions that drive measurable outcomes Work hands-on in the command line and development environments to build, test, and iterate on models Partner with Product and Engineering teams to productionize models and integrate them into customer-facing applications Continuously evaluate and improve model performance, accuracy, and scalability Go beyond surface-level solutions to deeply understand data, model behavior, and algorithm performance Stay current with advancements in AI/ML and apply them thoughtfully to business problems Balance innovation with execution, ensuring solutions are both cutting-edge and aligned to business objectives What You Bring to this Role Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field 3-5 years of hands-on data science experience, ideally in a SaaS or product-driven environment Strong programming skills in Python, with working knowledge of SQL and mongoDB Familiarity with modern AI/ML frameworks and tools Proven experience building and deploying machine learning models and algorithms, including experience with LLM-based model deployment Experience working in production environments and collaborating with engineering teams to ship solutions Solid understanding of statistical modeling, data structures, and algorithm design Experience with training regression, classification, and clustering models Comfortable working in the command line and modern development workflows Ability to think critically about problems and develop end-to-end solutions, not just isolated analyses Strong curiosity and a mindset of going above and beyond to solve complex problems Prior experience in a SaaS or B2B product environment Experience or an interest in LLM-accelerated coding tools Compensation for this position includes an annual base salary of $150,000
- and helps us build better solutions. Customer First We put people at the center of what we do
- listening with care, acting with empathy, and going the extra mile to support those we serve. Customer First means understanding the needs of anyone we impact
- whether that's a customer, a coworker, or an end user
- and doing right by them. Own the Outcome We take initiative and do what it takes to deliver results. With resourcefulness and resolve, we overcome obstacles, follow through on our commitments, and hold ourselves accountable
- because each of us is empowered to make an impact.
Alchemer.com ). What You Will Do We're looking for a Data Scientist who thrives at the intersection of innovation and real-world impact. This role is focused on building, testing, and refining algorithms and machine learning models that power product experiences at scale. You'll work closely with Product and Engineering to turn complex data problems into production-ready solutions. From developing full-scale algorithms to fine-tuning models, your work will directly influence products used by tens of thousands of users globally. If you're someone who thinks AI is exciting and also wants to understand what's happening under the hood and build it yourself, this role is for you. How You Will Spend Your Days Design, develop, and optimize machine learning models and algorithms for real-world product applications Translate ambiguous business problems into scalable data science solutions that drive measurable outcomes Work hands-on in the command line and development environments to build, test, and iterate on models Partner with Product and Engineering teams to productionize models and integrate them into customer-facing applications Continuously evaluate and improve model performance, accuracy, and scalability Go beyond surface-level solutions to deeply understand data, model behavior, and algorithm performance Stay current with advancements in AI/ML and apply them thoughtfully to business problems Balance innovation with execution, ensuring solutions are both cutting-edge and aligned to business objectives What You Bring to this Role Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field 3-5 years of hands-on data science experience, ideally in a SaaS or product-driven environment Strong programming skills in Python, with working knowledge of SQL and mongoDB Familiarity with modern AI/ML frameworks and tools Proven experience building and deploying machine learning models and algorithms, including experience with LLM-based model deployment Experience working in production environments and collaborating with engineering teams to ship solutions Solid understanding of statistical modeling, data structures, and algorithm design Experience with training regression, classification, and clustering models Comfortable working in the command line and modern development workflows Ability to think critically about problems and develop end-to-end solutions, not just isolated analyses Strong curiosity and a mindset of going above and beyond to solve complex problems Prior experience in a SaaS or B2B product environment Experience or an interest in LLM-accelerated coding tools Compensation for this position includes an annual base salary of $150,000
- 160,000 with eligibility to participate in our Employee Participation Unit program.
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