Talent 360 ME
Talent 360 ME is your dedicated HR management partner, specializing in providing outsourced HR services to startups and SMEs. Their team of specialized HR consultants helps businesses focus on growth by managing recruitment, onboarding, payroll, performance, and compliance, while ensuring access to advanced HR technologies and resources. Talent 360 aims to streamline HR processes, mitigate compliance risks, and enhance overall productivity within organizations, enabling founders and CEOs to concentrate on core business objectives.
Human Resources Management • Talent Acquisition • Talent Management • Employee Relations • Performance Management
Data Scientist - AI Engineer
March 29
Talent 360 ME
Talent 360 ME is your dedicated HR management partner, specializing in providing outsourced HR services to startups and SMEs. Their team of specialized HR consultants helps businesses focus on growth by managing recruitment, onboarding, payroll, performance, and compliance, while ensuring access to advanced HR technologies and resources. Talent 360 aims to streamline HR processes, mitigate compliance risks, and enhance overall productivity within organizations, enabling founders and CEOs to concentrate on core business objectives.
Human Resources Management • Talent Acquisition • Talent Management • Employee Relations • Performance Management
📋 Description
• SiFi is a corporate expense management platform designed to empower accounting teams. • Looking for a skilled Data Scientist to join our team and work closely with business stakeholders, engineers, and analysts. • Involves building and maintaining data pipelines, designing and managing data warehouses (DWH), developing reports and dashboards.
🎯 Requirements
• Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field. • 3+ years of experience in data science, analytics, or related fields. • Strong SQL skills and experience working with relational and NoSQL databases. • Proficiency in Python (Pandas, NumPy, Scikit-Learn, etc.) or R for data analysis and machine learning. • Hands-on experience with ETL pipelines, data processing, and data warehousing (e.g., Snowflake, Redshift, BigQuery). • Knowledge of cloud platforms (OCI, GCP, Azure) and experience with data tools like Airflow, DBT, Spark, or Kafka. • Experience with BI tools (Power BI, Tableau, Looker, Metabase, etc.) for data visualization and reporting. • Strong understanding of statistics, machine learning algorithms, and predictive modeling. • Experience in Fin-Tech, banking, or finance is a Plus. • Familiarity with big data technologies (Hadoop, Spark, Databricks, etc.) is a Plus. • Knowledge of data governance, compliance, and security best practices is a Plus. • Experience with real-time analytics and streaming data is a Plus.
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