Data Science Engineer
Date: 8 Sept 2025
Location: San Diego, Arizona, SE
Company: Altimetrik
- Test US Demo 14 in the Finance domain, seeking candidates with 3.0-7.0 years of experience
- Responsibilities include developing and maintaining Python-based machine learning models, collaborating on data pipeline optimization, conducting data analysis, utilizing SQL databases, leading deployment of data solutions, providing technical expertise, mentoring team members, staying updated on industry trends, and driving educational initiatives
- Key qualifications include proficiency in Python and Machine Learning, data processing skills, data engineering expertise, and proficiency in Data Analysis and Visualization tools
- Preferred qualifications include experience in SQL database management, familiarity with advanced SQL query techniques, and proficiency in database performance tuning
- Bachelor of Technology (B.Tech) in Computer Science Engineering or a Master of Technology (M.Tech) in Data Science or Big Data Analytics, along with certifications such as Data Engineer Professional and Machine Learning Engineer Certification, are preferred
- Extensive knowledge and proficiency in Python and Machine Learning
- Deep understanding of Python programming for data manipulation, analysis, and model development
- Ability to apply Machine Learning algorithms and techniques to solve real-world problems
- Skills in data processing including cleaning, filtering, and transforming datasets
- Data Engineering expertise for designing, constructing, and maintaining data architecture, pipelines, and systems
- Proficiency in Data Analysis and Visualization tools
- Ability to analyze complex datasets, identify patterns, and create visually appealing representations
- Bachelor of Technology (B.Tech) in Computer Science Engineering or a Master of Technology (M.Tech) in Data Science or Big Data Analytics
- Certifications such as Data Engineer Professional and Machine Learning Engineer Certification
- Develop, implement, and maintain Python-based machine learning models for data processing and analysis.
- Collaborate with data engineering teams to design and optimize data pipelines for efficient data processing.
- Conduct in-depth data analysis and visualization to derive actionable insights.
- Utilize SQL databases for data storage and retrieval.
- Lead the development and deployment of data analysis solutions.
- Provide technical expertise in machine learning algorithms and data engineering techniques.
- Mentor junior team members and assist in their skill development.
- Stay updated with the latest trends and advancements in machine learning, data processing, and data engineering.
- Drive educational initiatives related to computer science within the organization.
- Ensure compliance with data governance and security standards in all data-related activities.
Long Description