Senior Data Scientist

Overview

Sigma Squared is looking for an analytical, research oriented Senior Data Scientist to join our foundational team. As an experienced member of our growing Data Science team you will be responsible for leading complex data initiatives, delivering influential insights for feature development / enhancement and creating robust machine learning models. Your ability to automate processes and effectively communicate statistical findings to non-technical stakeholders will be crucial.

Key Responsibilities

Own the Data :

Apply advanced statistical procedures and machine learning algorithms to extract meaningful insights for our customers.

Conduct exploratory data analysis, data transformation and feature engineering on large, complex datasets.

Cross-functional partnership with Product, Engineering and Customer teams to understand analytical needs and deliver data-driven solutions.

Innovative Problem Solver :

Research and propose solutions to complex data analytics challenges.

Design and implement algorithms that address specific business needs and improve processes.

Process Automation and Integration :

Automate data workflows and integrate systems to enhance efficiency and accuracy.

Ensure seamless data pipelines and integration with existing infrastructure.

Collaborate with Data Engineering to build data pipelines.

Visual Communication of Insights :

Create compelling data visualizations and reports that effectively communicate statistical insights to non-technical customers.

Translate technical findings into actionable business recommendations.

Skills and Qualifications

Education and Expertise :

Bachelor's or Master's degree in Computer Science, Statistics, Data Science, Economics, or related quantitative fields. Pre-MBA and Pre-PhD students are encouraged to apply.

Minimum of 4 years of professional experience as a Data Scientist.

Proficiency in R or STATA; advanced proficiency in Python.

Deep understanding of machine learning techniques and programming principles.

Analytical Proficiency :

Exceptional grasp of statistics, multivariable calculus, and linear algebra.

Experience with data visualization tools (e.g., Tableau, Power BI) and proficiency in visualization languages (e.g., ggplot, matplotlib).

Experience with generative AI models.

Ability to distill complex technical concepts into clear and actionable insights for non-technical stakeholders.

Innovative and Agile :

Demonstrated ability to thrive in a fast-paced, innovative environment.

Proven track record of achieving goals through creative problem-solving and collaboration.

What we offer

A uniquely compelling opportunity to advance our mission with world class colleagues, a tremendous amount of responsibility and autonomy, and access to all the information you need to succeed. Plus :

Competitive salary

Comprehensive health, dental, vision, and FSA / HSA

401K with employer match

Flexible PTO and all the usual holidays

Fully stocked kitchen with coffee and snacks

Pre-tax commuter benefits

Employer-paid life and disability insurance

Educational assistance and training reimbursement

Employee assistance with no-cost counseling, referrals, and resources

Financial wellbeing support with no-cost consultations, personalized assessments, and coaching

Adoption assistance, free legal support, and more

More About us...

Sigma Squared helps firms unleash productivity by putting data at the center of every decision. We combine econometrics and a flexible, modular platform to transform the way organizations recruit, hire, retain, promote, and develop their frontline workforces. By delivering actionable insights, integrated tools, and measurable financial impact, we empower enterprises to optimize hiring and promotion paths, unlocking the full potential of their people while driving meaningful business outcomes. To learn more about Sigma Squared, visit sigmasquared.io