Data Scientist and Data Engineer

About the job

KEY RESPONSIBILITIES: Data Science: • Develop machine learning models to support recommendation systems and NLP projects • Provide actionable insights for product and service optimization Data Engineering: • Build and maintain scalable ETL pipelines • Optimize data storage solutions (data lakes, columnar formats) and ensure data accuracy for analytics Data Analysis & Insight Generation: • Analyze complex datasets to uncover trends and patterns • Generate and present insights that drive strategic decisions and enhance client services Stakeholder Collaboration: • Work with product and service teams to understand data needs and translate them into technical solutions Working Relationships: • Reporting to: VP Business Growth • External Stakeholders: Clients Skills/Competencies Required: Technical Skills: • Proficiency with Python (Pandas, NumPy), SQL, and Java • Experience with LLMs, Lang Chain, and Generative AI technologies • Familiarity with ML frameworks (Tensor Flow, PyTorch) and data engineering tools (Spark, Kafka) • Strong data analysis skills and ability to present findings to both technical and non-technical stakeholders • Proficient in key data engineering concepts, such as data lakes, columnar formats, ETL tools, and BI tools • Knowledge in Machine Learning, NLP, Recommender systems, personalization, Segmentation, microservices architecture, and API development • Ability to adapt to a fast-paced, dynamic work environment and quickly learn new technologies Soft Skills: • Work well in a team or independently • Excellent written & verbal communication skills • Strong critical thinking and questioning skills • High degree of flexibility willing to fill in the gaps rather than relying on others • Strong communication skills, especially in presenting data insights • Flexibility, problem-solving, and a proactive approach in a fast-paced environment Academic Qualifications & Experience Required: Required Educational Qualification & Relevant Experience: • Bachelor's Degree in Computer Science, Data Analytics, Engineering, or a related field • Minimum 3 to 5 years of experience in data science and data engineering • Strong critical thinking abilities and capacity to work autonomously • Proficient understanding of key data engineering concepts (data lakes, columnar formats, ETL tools, and BI tools) • High motivation, good work ethic, maturity, and personal initiative • Strong oral and written communication skills

Requirements

• Python
• Java
• Data Analysis
• NLP

Qualifications

• Bachelor's Degree
• 3 to 5 years of experience in data science and data engineering

Preferred Technologies

• Python
• Java
• Data Analysis
• NLP

About the company

Ciel Hr specializes in offering recruitment and HR solutions to businesses. Their services encompass various sectors, ensuring clients get the right talent tailored to their needs.