Data Engineer / Data Scientist

Jobgether; Remote; GBP 55,000 - 75,000; Full time

Job summary

A leading recruitment platform is seeking a Remote Data Engineer/Scientist to leverage data expertise for business outcomes. This role involves designing and implementing machine learning models to predict churn risk and generate actionable insights. Candidates should have at least 5 years of experience in data science, proficiency in Python and SQL, and strong problem-solving skills. Applicants will enjoy comprehensive benefits and opportunities for professional growth.

Benefits

Comprehensive core benefits including Medical, Dental, Vision, and Life insurance

Retirement plans and paid parental leave

Tax savings plans for health and dependent care

Opportunities for professional growth and development

Qualifications

• Minimum of 5 years of experience in data science or data engineering.
• Proficient understanding of data engineering concepts.
• Effective collaboration skills in a team environment.

Responsibilities

• Design, develop, and program ML models to predict churn risk.
• Generate actionable insights from model outputs.
• Collaborate with teams to engineer features from customer data.

Skills

Machine learning models

Data analysis

Python

SQL

Problem-solving

Collaboration skills

Education

Bachelor's Degree in Computer Science, Data Analytics, or related field

Advanced degrees

Tools

ETL tools

Statistical modeling

Job description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Remote Data Engineer/Scientist. In this dynamic role, you will leverage your data expertise to drive meaningful business outcomes and enhance customer retention strategies. You will collaborate closely with teams to design and implement machine learning models that predict churn risk and generate actionable insights. Your work will be instrumental in transforming raw data into impactful features, ultimately contributing to the success of data-driven initiatives. Join us in our mission to harness data for strategic advantage!

Accountabilities

• Design, develop, and program methods for deploying ML models to predict churn risk.
• Generate actionable insights by translating complex model outputs into business-friendly strategies.
• Collaborate with product and go-to-market teams to engineer features from customer data.
• Develop software programs and algorithms to cleanse and integrate datasets for ML model training.
• Extract and communicate meaningful insights to optimize churn prediction models.

Requirements

• Bachelor\'s Degree in Computer Science, Data Analytics, or related field; advanced degrees are welcome.
• Minimum of 5 years of experience in data science or data engineering, with expertise in machine learning models.
• Strong critical thinking skills and the capacity to work autonomously.
• Proficient understanding of data engineering concepts, ETL tools, and statistical modeling.
• Passion for problem-solving and data analysis.
• Proficiency in Python and SQL; knowledge of other languages is a plus.
• Effective collaboration skills in a team environment.

Benefits

• Comprehensive core benefits including Medical, Dental, Vision, and Life insurance.
• Retirement plans and paid parental leave.
• Tax savings plans for health and dependent care.
• Opportunities for professional growth and development.

Why Apply Through Jobgether?

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role\'s core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.