What are the responsibilities and job description for the Lead Data Scientist position at Rapideagle?
Lead Data Scientist
Onsite Role
Jersey City NJ
Duties
- Lead the design and implementation of advanced analytical models using machine learning frameworks to solve complex business problems.
- Collaborate with cross-functional teams to identify opportunities for leveraging data to drive business solutions.
- Develop and maintain ETL processes to ensure data integrity and accessibility for analysis.
- Utilize SQL and Hadoop for data extraction, transformation, and loading from various sources.
- Conduct data mining activities to uncover trends, patterns, and insights that inform strategic decisions.
- Implement natural language processing techniques to enhance data interpretation and usability.
- Mentor junior data scientists and provide guidance on best practices in coding (Python, Java) and model development.
- Communicate findings effectively through visualizations and presentations to stakeholders at all levels.
Qualifications
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.
- Extensive experience with machine learning algorithms and frameworks.
- Proficiency in programming languages such as Python and Java.
- Strong knowledge of SQL for database management and querying.
- Familiarity with big data technologies like Hadoop.
- Experience with ETL processes and tools.
- Understanding of natural language processing techniques is a plus.
- Proficient in data mining methodologies and statistical analysis.
- Excellent problem-solving skills with the ability to work independently as well as collaboratively within a team environment.
- Strong communication skills to convey complex technical concepts to non-technical stakeholders.
Join us in our mission to leverage data science for impactful decision-making!
Job Type: Contract
Pay: $80.00 - $90.00 per hour
Expected hours: 40 per week
Benefits:
- 401(k)
- Dental insurance
- Health insurance
Schedule:
- 8 hour shift
Work Location: In person
Salary : $80 - $90