Lead Data Scientist - Remote / Telecommute

Cynet Systems; Fremont (CA); Remote; USD 100,000 - 130,000; Full time

Job summary

A leading company in technology solutions is seeking a software developer with expertise in AI and machine learning. The role involves maintaining AI/ML services, developing data visualizations, and collaborating with cross-functional teams to implement data-driven solutions. Candidates should possess a Bachelor's degree in Computer Science or a similar field, along with strong experience in software development, particularly with Python and SQL.

Qualifications

• 5+ years experience in software development with Python.
• Strong experience with SQL and data visualization tools.

Responsibilities

• Maintain and monitor existing AI/ML solutions.
• Develop automated alerting systems for quality assurance.
• Collaborate with teams to develop data-driven solutions.

Skills

SQL

Data visualization

Data analysis

Python

Service deployment

Microservices

APIs

Version control

Education

Bachelor's degree in Computer Science

Tools

Tableau

Power BI

Git

Job description

• Maintain and monitor existing AI / ML based solutions / services.
• develop automated alerting system to ensure quality of the services and data.
• Develop data visualizations and reports to communicate findings to stakeholders.
• Collaborate with cross-functional teams to identify business problems and develop data-driven AI / ML solutions.
• Influence short- and long-term strategy with cross-functional teams to drive impact.
• Support on-call shift as needed to support the team.

Minimum Qualifications :

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• Strong experience with SQL and data visualization tools (e.g., Tableau, Power BI, etc.).
• Experience with data cleaning, data preprocessing, and data analysis.
• 5+ years of experience in software development with Python (knowledge / experience with PHP or Java is a plus).
• Experience with service deployment, micro services, and APIs (RESTful API or Graph QL) designs.
• Experience with git or similar version control tools.
• Good understanding of version control (branch, commit, pull, etc.).

Preferred Qualifications :

• Experience with service monitoring, anomaly detection, and alert automation.
• Knowledge of CI / CD, containerization, container orchestration, and IaC.
• Familiarity with agile development methodologies such as Scrum or Kanban.
• Understanding of predictive analytics and algorithms like linear regression, clustering, decision trees, etc.
• Knowledge of prompt engineering.
• Knowledge of popular LLMs like Chat GPT, Claude, etc. and introductory experience with prompting and prompt engineering.

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