Offer summary

Qualifications:

Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field., 2-3 years of industry and/or research experience in data analysis and statistical modeling., Proficiency in SQL, R or Python, and data visualization techniques., Strong problem-solving skills and ability to work independently in a remote setting..

Key responsabilities:

Collaborate with managers to define data analysis goals and develop strategies.

Transform user data into insights for product design and improvement.

Conduct large-scale data mining and statistical analysis to enhance customer retention.

Visualize and interpret analysis results for presentations and stakeholder communication.

Job description

Transfr is on a mission to help create pathways to career success. Our immersive career exploration and training simulations empower learners and job seekers of all ages find the right job for them and build the skills they need to enter (or reenter) the workforce or change careers — helping them improve their quality of life.

Immersive VR experiences from Transfr have been shown in studies to deliver better learning gains than video tutorials, slide presentations, and other training methods. Learners also find Transfr experiences highly engaging and enjoyable. At Transfr, we believe the future starts with innovative workplace training and skills development. We’re building bridges between schools, workplaces, and governments to help improve training and job placement pipelines and create a better tomorrow, today.

Summary: The Intelligence team at Transfr is looking for a highly motivated Data Analyst/Scientist who is passionate about education. This individual will have the opportunity to work with researchers, engineers, and product designers across the company and engage in cutting-edge research and analytics to support the company’s mission.

Responsibilities:

Collaborate with managers to gather requirements, define data analysis goals, and develop strategies.

Develop and refine statistical models and predictive algorithms to analyze user behaviors.

Transform user data into meaningful insights and recommendations for product design and improvement.

Evaluate and validate statistical methodologies and algorithms using user data and efficacy study results.

Conduct large-scale data mining and statistical analysis to drive customer retention and product enhancements.

Solve complex problems using multiple sources of user data.

Review and manage data collection through product platforms, surveys, focus groups, and interviews.

Perform hypothesis testing and statistical analysis for user data.

Ensure compliance with data privacy and security guidelines and regulations.

Visualize and interpret analysis results for presentations, reports, and stakeholder communication.

Qualifications:

Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.

2-3 years of industry and/or research experience in data analysis and statistical modeling.

Proficiency in data processing, data mining, and data visualization.

Experience working with educational data is a plus.

Strong understanding of data structures, data representation, and data governance principles.

Fluency in SQL and relational databases.

Expertise in probabilistic models, applied linear and multilevel models, diagnostics and sensitivity analyses, multivariate analysis, predictive modeling, segmentation, and time series forecasting.

Proficiency in statistical programming languages such as R or Python.

Strong problem-solving skills with a proactive and adaptive learning mindset.

Ability to work independently in a remote setting while contributing to a collaborative and dispersed team.

Excellent communication, time management, and multitasking skills.

What We Offer: The base salary range for this position is expected to be between $100,000 - $110,000, with the actual base salary amount dependent on a number of factors, including but not limited to a candidate’s credentials, relevant experience, and primary job location. In addition to salary this role will be eligible for additional company benefits such as stock options, 401(k), paid vacation and sick time, and medical/dental/vision insurance.

In Closing:

If you're looking to make a big difference in the lives of others, we invite you to join us on our mission to make learning more intuitive and help individuals develop the skills they need for career success.

Be a part of creating pathways to prosperity by helping to develop training simulations to teach skills that lead to well-paying jobs, for all.

At Transfr, we embrace diversity because it breeds innovation. Transfr is an equal opportunity employer that participates in E-Verify committed to providing equal employment opportunities to all applicants, consultants, and employees, and prohibits discrimination and harassment of any type without regard to race, color, religion, age, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

**Must be authorized to work in the United States without restriction**

Learn more at transfrinc.com

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