Data Scientist
3 days ago
About Data Affect: We are a boutique data/service management firm specializing in the delivery of data governance, enterprise data strategy, solutions architecture, data warehousing, data integrations, data security & privacy management, IT service management, business analysis (and) agile project management services to diverse clients across multiple industries.
Role: Data Scientist
Location: Johnston RI
Duration: 6+ months
Required Skills: Python, Data Science, MLOps
Job Summary :
We are seeking a highly skilled Data Scientist with 7 to 11 years of experience to join our team as a Business Associate. The ideal candidate will have a strong background in MLOps and Python, and will be responsible for overseeing various projects and ensuring their successful execution. This role requires excellent organizational skills, the ability to manage multiple tasks simultaneously, and a keen eye for detail.
Roles & Responsibilities :
- Oversee the planning, execution, and delivery of multiple projects within the organization
- Coordinate with cross-functional teams to ensure project milestones are met on time and within budget
- Provide technical guidance and support in MLOps and Python to team members
- Develop and implement project plans, including timelines, resource allocation, and risk management strategies
- Monitor project progress and make necessary adjustments to ensure successful outcomes
- Communicate project status, issues, and risks to stakeholders and senior management
- Ensure that all project documentation is complete, accurate, and up-to-date
- Facilitate regular project meetings and ensure that action items are tracked and completed
- Identify opportunities for process improvements and implement best practices in project management
- Collaborate with data scientists and engineers to integrate machine learning models into production environments
- Ensure the scalability, reliability, and performance of machine learning systems
- Provide training and mentorship to team members on MLOps and Python best practices
- Evaluate and recommend new tools and technologies to enhance project efficiency and effectiveness
- Conduct post-project evaluations to identify lessons learned and areas for improvement
- Ensure compliance with company policies and industry regulations in all project activities
- Foster a collaborative and inclusive team environment that encourages innovation and continuous learning
Qualifications:
- Possess a strong background in MLOps and Python with hands-on experience
- Demonstrate excellent project management skills, including planning, execution, and monitoring
- Exhibit strong communication and interpersonal skills to effectively collaborate with cross-functional teams
- Show proficiency in developing and implementing project plans and risk management strategies
- Have experience in integrating machine learning models into a production environment
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