Senior Data Scientist, Python

Job not on LinkedIn

November 12

🇨🇴 Colombia – Remote

⏰ Full Time

🟠 Senior

🔙 Backend Engineer

Apply Now
Logo of GIGABIT Technologies Private Limited

GIGABIT Technologies Private Limited

Cybersecurity • IT Security • SaaS

GIGABIT Technologies Private Limited is a leading provider of comprehensive IT solutions, specializing in cybersecurity, infrastructure design, and managed IT services. With a focus on proactive cybersecurity measures, the company offers services including real-time threat detection, data security, and incident response to ensure businesses remain secure and resilient. GIGABIT Technologies also designs tailored storage and network solutions, helping organizations enhance their IT infrastructure while maximizing operational efficiency and compliance.

51 - 200 employees

Founded 2010

🔒 Cybersecurity

☁️ SaaS

📋 Description

• Predictive audience analysis and scheduling • Ad placement optimization • Big data extraction, transformation, and modeling • Generation of actionable insights for stakeholders • Development and maintenance of machine learning models • Interdisciplinary collaboration and alignment with business objectives

🎯 Requirements

• SQL Server, Snowflake, PostgreSQL/MySQL • Python (pandas, scikit-learn, statsmodels, xgboost, lightgbm), SQL (advanced) • Machine Learning • Advanced English

🏖️ Benefits

• An exciting growth journey and a never-ending ambition to develop as a company • A friendly, supportive and humble working culture where the team always comes first • Opportunities for professional development and personal growth • Passionate, high-performing and genuine colleagues • We care about the important things: results and well-being • Referral Programm- Refer a colleague program: Enjoy an amazing reward if you recommend a friend or colleague to GIGA IT and they get hired • 15 business days PTO and flexibility programm • Local Holidays • Remote work - You can work from anywhere! • Notebook • Work hours: Monday to Friday, from 8 a.m. to 5 p.m.

Apply Now

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