Acarin Inc
Data Scientist – Acarin Inc
We are on the hunt for a Data Scientist with deep expertise in statistical analysis. Your role will be pivotal in demonstrating and enhancing the positive impact on outcomes during the implementation of our products. You will work closely with our Customer Success, Solutions Engineering, and Product teams to devise measurement strategies, quantify business impact, and communicate results to our customers in a clear and credible manner.
Key Responsibilities and Duties
Design and manage measurement frameworks that demonstrate how Acarin drives customer outcomes, including conversion rate, handle time, quality, compliance, and revenue.
Lead experimental design and analysis using A/B tests, quasi-experiments, matched cohorts, diff-in-diff, and causal inference approaches as required.
Construct statistically sound pre/post analyses, uplift models, and confidence/uncertainty reporting for executive‑ready readouts.
Develop KPIs and success criteria for implementations, ensuring alignment of metrics with customer goals and operational realities.
Analyze operational data (structured + event/log data), identifying performance drivers and areas for product optimization.
Create repeatable impact narratives and customer‑facing insights, including ROI, adoption drivers, segmentation, and root‑cause analysis.
Collaborate with Product/Engineering teams to enhance telemetry, metric definitions, data quality, and model/product monitoring.
Contribute to internal best practices for analytics rigor, documentation, and reusable templates.
Required Qualifications and Skills
A Master’s degree or PhD in Statistics, Mathematics, Computer Science, or a related field.
Proficiency in statistical programming languages such as R or Python.
Strong knowledge of experimental design and statistical analysis techniques.
Experience working with large datasets and data visualization tools.
Excellent communication skills with the ability to present complex data in a simple, understandable manner.
Preferred Qualifications
Proven experience in a similar role, preferably within a tech or SaaS company.
Experience with SQL and big data platforms.
Experience in customer‑facing analytics or consulting roles.
Knowledge of machine learning techniques and algorithms.
What We Offer
Health and Dental coverage
Spot Awards
10 days Paid Vacation
Certification Trainings
We invite you to join our dynamic team and help us make a significant impact in the tech industry. We look forward to receiving your application!
Seniority level Entry level
Employment type Full-time
Job function Engineering and Information Technology
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Key Responsibilities and Duties
Design and manage measurement frameworks that demonstrate how Acarin drives customer outcomes, including conversion rate, handle time, quality, compliance, and revenue.
Lead experimental design and analysis using A/B tests, quasi-experiments, matched cohorts, diff-in-diff, and causal inference approaches as required.
Construct statistically sound pre/post analyses, uplift models, and confidence/uncertainty reporting for executive‑ready readouts.
Develop KPIs and success criteria for implementations, ensuring alignment of metrics with customer goals and operational realities.
Analyze operational data (structured + event/log data), identifying performance drivers and areas for product optimization.
Create repeatable impact narratives and customer‑facing insights, including ROI, adoption drivers, segmentation, and root‑cause analysis.
Collaborate with Product/Engineering teams to enhance telemetry, metric definitions, data quality, and model/product monitoring.
Contribute to internal best practices for analytics rigor, documentation, and reusable templates.
Required Qualifications and Skills
A Master’s degree or PhD in Statistics, Mathematics, Computer Science, or a related field.
Proficiency in statistical programming languages such as R or Python.
Strong knowledge of experimental design and statistical analysis techniques.
Experience working with large datasets and data visualization tools.
Excellent communication skills with the ability to present complex data in a simple, understandable manner.
Preferred Qualifications
Proven experience in a similar role, preferably within a tech or SaaS company.
Experience with SQL and big data platforms.
Experience in customer‑facing analytics or consulting roles.
Knowledge of machine learning techniques and algorithms.
What We Offer
Health and Dental coverage
Spot Awards
10 days Paid Vacation
Certification Trainings
We invite you to join our dynamic team and help us make a significant impact in the tech industry. We look forward to receiving your application!
Seniority level Entry level
Employment type Full-time
Job function Engineering and Information Technology
#J-18808-Ljbffr