Data Scientist / Machine Learning Engineer

Leadbright; United States; Remote; USD 70,000 - 110,000; Full time

Job summary

Join a fast-growing MarTech company as a Data Scientist/Machine Learning Engineer, where you'll leverage large datasets to create innovative scoring models and algorithms for a lead generation platform. This remote role offers the chance to work with advanced data analysis techniques and collaborate with various departments to meet analytical needs. You'll thrive in a mentoring environment that encourages learning and adaptation to new technologies. If you're passionate about data and eager to make a significant impact in the digital marketing landscape, this opportunity is perfect for you.

Benefits

Work from home opportunity

Flexible schedule

Competitive benefits

Mentoring environment

Opportunity for cross-functional work

Qualifications

• Experience in advanced data analysis and machine learning techniques.
• Proficient in Python and familiar with Azure cloud computing.

Responsibilities

• Analyze large datasets from multiple sources to extract insights.
• Create scoring models and machine learning algorithms for lead generation.

Skills

Data Analysis

Machine Learning

Deep Learning

Python

Statistical Reporting

Data Visualization

Education

Degree in Computer Science

Diploma in Software Engineering

Tools

Azure

Open Source Visualization Tools

Job description

About Leadbright

We are a fast-growing MarTech company specializing in B2B lead generation and AI website content automation. Leadbright is the next innovation in website content and marketing technology.

About your role

As a Data Scientist/Machine Learning Engineer at Leadbright, you will be working with large amounts of live datasets to extract insights and regularities from it. You will build multiple scoring models and custom algorithms for our lead generation platform, and create and visualize data using our charting technologies. This role is remote, but once things get back to normal, you will be working out of our downtown Toronto, Ontario office. To be successful, you must have experience analyzing high volumes of data, applying its logic to help grow lead generation for clients.

Responsibilities:

• Analyze and organize large datasets from multiple sources.
• Use client, third-party, and proprietary datasets to identify and address client needs.
• Create scoring models for multiple platform features.
• Create Machine Learning and Deep Learning algorithms based on datasets (AI).
• Understand client data in the context of a client engagement objective.
• Produce analytical/statistical reports.
• Work with internal departments to meet analytical needs by designing new research and data analysis projects as required.
• Share complex technical solutions with non-technical audiences both verbally and in writing.

Qualifications:

• Good knowledge of a wide variety of advanced data analysis and machine learning techniques, and experience in developing solutions in response to real-world business problems.
• Proficient with programming languages such as Python.
• Experience with Azure cloud computing platform or similar.
• Experience in full stack data science is preferred.
• Knowledge of visualization using open source tools.
• Degree or Diploma in Computer Science, Software Engineering, or equivalent experience.
• An interest in upskilling for a digital world and technology trends, with an openness to learning new tools and adapting how you work.

Nice to haves:

• Understanding of Search Engines.
• Knowledge of UX/UI and how it fits into the lead generation process.
• Understanding of SEO data.

What we offer:

• Work from home opportunity.
• Flexible schedule.
• Competitive benefits.
• Mentoring environment.
• Opportunity for cross-functional work.

Thank you to all the applicants!

APPLY AT www.leadbright.com/careers