Data Scientist

Job not on LinkedIn

🕒 July 31

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

💵 $110k - $125k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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HighlightTA

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2024

🎯 Recruiter

👥 HR Tech

💼 Consulting

Recruitment • HR Tech • Consulting

At HighlightTA, we simplify hiring by embedding talent partners into your team, leading recruitment projects, or managing your entire talent function. Our flexible, on-demand solutions let you scale up or down as needed, without long-term commitments or high agency fees. With decades of experience, our data-driven approach ensures fast access to top-tier talent, saving you time and reducing costs. Whether it's integrating talent partners, overseeing recruitment functions, or delivering one-off projects through our ProjectTA service, we tailor our solutions to meet your specific business needs. Ready to build exceptional teams? Let's connect.

📋 Description

• Dive deep into large, disparate datasets to design relational, dimensional, and analytical data models. • Partner with Data Engineer and Salesforce architects to define data requirements and operationalize data flows. • Design, build, train, and validate machine learning models, ensuring efficient packaging and deployment in production. • Transform complex model outputs into production-ready data products. • Develop underlying data layers that power reports and dashboards.

🎯 Requirements

• 4+ years of hands-on experience in a data science or data engineering role • Demonstrated proficiency in Python (or similar languages) • Hands-on experience building, training, and deploying machine learning models using a major cloud ML platform, preferably AWS SageMaker • Advanced SQL proficiency for complex data manipulation and query optimization • Demonstrated ability to work autonomously as a self-starter • Exceptional communication skills • A Bachelor's degree in a technical field such as Computer Science, Software Engineering, or a related quantitative discipline.

🏖️ Benefits

• Offers Bonus • 8 - 10% bonus potential