Data Scientist Lead
3 weeks ago
We are seeking a highly skilled Sr Data Scientist to join our team at IT MINDS L.L.C. in Whippany, NJ. This is a long-term opportunity with a competitive rate of $58/hr on C2C.
Key Responsibilities:
- Data Analysis: Conduct advanced statistical analysis to extract meaningful insights from large datasets. Analyze and interpret data to identify patterns, root causes, and business impact. Propose changes and alternate solutions to drive product enhancements.
- Machine Learning: Develop, implement, and optimize machine learning models to support various business initiatives. Evaluate the quality of data used for model training and testing. Create and present proposals and results in an intuitive, data-backed manner.
- Project Leadership: Lead data science projects from conception to deployment, ensuring timely delivery and high-quality outcomes.
- Collaboration: Work closely with product managers, engineers, and other stakeholders to understand business needs and align data solutions accordingly.
- Mentorship: Mentor and guide junior data scientists and analysts, fostering a collaborative and growth-oriented environment.
- Data Infrastructure: Contribute to the development and maintenance of data pipelines, ensuring data accuracy and accessibility.
- Reporting: Prepare and present analytical reports and visualizations to communicate findings to both technical and non-technical audiences.
Qualifications:
- Education: Master's or Ph.D. degree in Data Science, Computer Science, Statistics, or a related field.
- Experience: Minimum of 5 years of experience in data science or a related field.
- Technical Skills: Proficiency in programming languages such as Python, R, and SQL. Experience with machine learning frameworks (e.g., TensorFlow, Scikit-learn) and data visualization tools (e.g., Tableau, Power BI).
- Experienced in: Identity and Access management, data protection, data privacy standards, and building model/tooling around continuous auditing.
- Skills: Strong analytical and problem-solving skills, with a keen attention to detail. Excellent verbal and written communication skills, with the ability to convey complex concepts to diverse audiences.
- Team Player: Ability to work effectively in a team environment and independently.
Preferred Qualifications:
- Industry Experience: Experience in the industry relevant to the company's domain (e.g., finance, healthcare, e-commerce).
- Cloud Computing: Familiarity with cloud computing platforms (e.g., AWS, Google Cloud, Azure).
- Big Data Technologies: Experience with big data technologies (e.g., Hadoop, Spark).
- Research Contributions: Published research or contributions to open-source projects.
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