Data Scientist

Job not on LinkedIn

🕒 June 25

🇺🇸 United States – Remote

💵 $500 - $750 / hour

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 55%

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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Black Pearl Consult

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

🎯 Recruiter

Consulting • Recruitment

Black Pearl Consult is a leading HR consultancy and specialist recruitment firm with about 10 years of workforce partnership experience. They provide customized HR consultancy, specialist recruitment and workforce solutions, including full managed projects, enablement, upskilling, a job seekers portal, team-building and corporate services. The firm positions itself as an extension of client teams to manage or support hiring processes and to deliver tailored talent strategies. Black Pearl lists offices in Abu Dhabi (UAE), Auckland (New Zealand) and Manila (Philippines) and serves corporate clients across industries.

📋 Description

• Collect, clean, and analyze structured and unstructured data. • Assist in building basic machine learning models and predictive algorithms. • Support exploratory data analysis (EDA) to generate insights. • Work with Product and Engineering teams to define data requirements. • Help visualize data insights using dashboards and reports. • Assist in testing and validating model performance. • Support experimentation and A/B testing initiatives. • Document analysis methods, findings, and model outputs. • Collaborate with data engineers to ensure data quality and availability.

🎯 Requirements

• 5+ years of experience • Understanding of statistics, probability, and data analysis • Familiarity with programming for data analysis • Strong analytical thinking and problem-solving skills • Good communication and reporting abilities