Data Scientist

Role Overview

The Data Scientist solves analytical and business problems using quantitative, statistical, mathematical, and technical approaches.

What You Will Do

Apply data science methodologies to solve complex business problems and generate data-driven insights.

Why It Might Be a Fit

Strong problem-solving and analytical thinking skills, with the ability to identify root causes and develop sustainable solutions.

Requirements

• Experience or strong knowledge of data science, statistical analysis, predictive analytics, and machine learning concepts.
• Experience processing, managing, and analyzing large and complex datasets.
• Proficiency in SQL and experience working with structured and unstructured data.
• Knowledge of statistical modeling techniques, including regression, classification, time-series analysis, anomaly/outlier detection, probability distributions, and hypothesis testing.
• Programming experience with statistical or data science programming languages and tools.
• Experience with data mining, data exploration, visualization, feature selection, data transformation, imputation, resampling, and model quality-control techniques.
• Familiarity with cloud-based and clustered computing environments, preferably Microsoft Azure and/or Amazon Web Services.
• Experience implementing or supporting Big Data platform solutions using open-source and third-party technologies.
• Familiarity with machine learning model validation, testing, and performance evaluation.
• Knowledge of Continuous Integration and Continuous Delivery (CI/CD) concepts is preferred.
• Ability to analyze complex business systems, industry requirements, and applicable data regulations.
• Strong problem-solving and analytical thinking skills, with the ability to identify root causes and develop sustainable solutions.
• Strong communication skills, with the ability to present complex analytical concepts and findings clearly to different audiences.
• Customer-focused approach with the ability to build effective relationships and deliver solutions aligned with business needs.
• Ability to make sound, timely decisions using data and analytical evidence.
• Ability to manage complex, high-volume, and sometimes contradictory information.
• Technology-savvy mindset with an interest in adopting emerging digital and data science technologies.
• Ability to collaborate effectively with diverse teams, stakeholders, and subject matter experts and value different perspectives.

Benefits

• Dental insurance
• Vision insurance
• Health insurance
• Paid time off
• Retirement plan
• Life insurance