Data Specialist jobs in United States

We're Hiring: Data Analyst - AI & Time Series Specialist!

We are looking for a skilled Data Analyst with expertise in AI and time series analysis for our client in Dubai. The ideal candidate will have a deep understanding of data analytics with expertise in Data Science and AI, specializing in handling time series data and setting up AI environments. The ideal candidate should have hands-on experience with ELK (Elasticsearch, Logstash, Kibana), Elastic, and Kafka and be technically adept at architecting AI-driven analytics solutions.

Location: Dubai, United Arab Emirates

Work Mode: Work From Office

Role: Data Analyst - AI & Time Series Specialist

1. Develop and implement AI/ML models, focusing on time series forecasting, anomaly detection, and predictive analytics.
2. Design and build end-to-end AI environments, integrating machine learning pipelines, model training, deployment, and monitoring.
3. Handle large-scale time series datasets, applying data transformation, feature engineering, and pattern detection techniques.
4. Leverage Elasticsearch, Logstash, and Kibana (ELK) for real-time data indexing, search, and visualization.
5. Manage and optimize Kafka for high-throughput data streaming and event-driven architectures.
6. Architect and deploy AI infrastructure, including cloud-based or on-premises solutions.

1. Minimum 5 years of experience in data analysis, specifically in AI and time series analysis.
2. Proficiency in statistical software (e.g., R, Python) and data visualization tools (e.g., Tableau).
3. Strong expertise in handling time series data, including statistical modeling, forecasting, and anomaly detection.
4. Experience with ELK Stack (Elasticsearch, Logstash, Kibana), Kafka, and Elastic Stack.
5. Strong knowledge of database technologies (SQL, NoSQL) and big data frameworks (Spark, Hadoop).
6. Strong problem-solving skills with attention to detail.
7. Excellent communication skills for presenting complex information clearly.
8. Ability to work independently as well as collaboratively within a team.

Ready to make an impact? Apply now and let's grow together!