Job Title: Data Scientist
Job Type: Full-time
Location: Remote-first
About Intuition
Intuition’s mission is to make everyone around the world love going to work, whether you’re going to your home office or headquarters.
Our vision is to empower organizations with the tools and resources they need to create a culture of engagement, where every employee feels valued, heard and motivated to perform at their best. We strive to be the premier platform for measuring, tracking, and improving employee engagement, leading to a more productive, profitable and sustainable business.
How you’ll help
As a Data Scientist, you will be responsible for analyzing large and complex datasets, developing machine learning models, and providing data-driven insights that drive the growth and success of our business. The successful candidate will have a passion for problem-solving, a strong understanding of statistical modeling and machine learning, and a track record of using data to drive business decisions.
Responsibilities:
- Data collection and preparation: Collecting and preparing large and complex data sets, ensuring their accuracy and completeness, and transforming them into formats that can be analyzed.
- Data analysis and modeling: Analyzing data using statistical techniques, machine learning algorithms, and data visualization tools to develop predictive models, identify patterns, and gain insights that inform business decisions.
- Experiment design: Designing and executing experiments to test hypotheses, validate model accuracy, and identify new insights.
- Data infrastructure: Building and maintaining data pipelines, databases, and data warehouses to ensure data accuracy, quality, and security.
- Cross-functional collaboration: Working closely with cross-functional teams, including product, engineering, marketing, and business development, to develop data-driven solutions to business problems.
- Communication: Communicating complex data insights and findings to stakeholders across the organization in a clear and concise manner.
- Research and development: Keeping up-to-date with the latest data science techniques and technologies, and applying them to solve business challenges.
- Business strategy: Providing data-driven insights that inform business strategy and drive revenue growth.
- Model deployment: Deploying predictive models and algorithms into production systems to automate decision-making processes.
- Continuous improvement: Continuously monitoring and improving model performance and data quality, and iterating on the data science process to increase efficiency and effectiveness.
Requirements:
- Master’s or PhD in Computer Science, Statistics, Mathematics, or a related field.
- 2+ years of experience in data science, preferably in a startup environment.
- Strong understanding of statistical modeling, machine learning algorithms, and data analysis techniques.
- Proficiency in at least one programming language, such as Python or R, and experience with SQL.
- Experience with data visualization tools, such as Tableau or Power BI.
- Excellent communication skills and the ability to explain complex technical concepts to non-technical stakeholders.
- Strong problem-solving skills and a passion for using data to drive business decisions.
- Experience with cloud-based data platforms, such as AWS or Google Cloud Platform, is a plus.
Benefits:
- Competitive salary and equity package.
- Health, dental, and vision insurance.
- Flexible work hours.
- Collaborative and fast-paced work environment with opportunities for growth and advancement.
- Chance to work with a talented and innovative team in a rapidly growing industry.
