Lead Data Science Deep Learning
Lead Data Science Deep Learning
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Job Description
Hi
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I hope you are doing great today.
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Our client is looking to procure qualified candidates for the Sr Data Science Lead Deep Learning Enclosed below is the Job Description for your reference. Kindly forward the resumes of qualified candidates in Word format Contact details Submission process format and Skill Matrix for further processing.
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Title: Data Science Lead Deep Learning
Location: Santa Clara CA USA (Dayone Onsite role.. No Remote No Hybrid. Local Consultants only)
Duration: 612 Months Contract
Hourly rate: 65/hr C2C maxx
Number of Position: 1
Its for Implementation partner
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Job Requirements
1. A minimum of 7 years of experience in Data Science with a proven track record of delivering impactful datadriven solutions.
2. A minimum of 2 years of experience as Lead
3. Indepth expertise in statistical analysis machine learning algorithms and predictive modeling techniques.
4. Strong programming skills in languages such as Python etc. with experience in data manipulation cleaning and analysis.
5. Experience in leading and managing a team of data scientists including setting goals providing guidance and feedback and ensuring project success.
6. Proven ability to effectively communicate complex technical concepts to both technical and nontechnical stakeholders.
7. Strong problemsolving skills and the ability to think strategically to identify opportunities for leveraging data and analytics to drive business outcomes.
8. Familiarity with cloud platforms such as DataBricks or Cloudera and experience in deploying and managing data science models in a cloud environment.
9. Strong project management skills with the ability to prioritize and manage multiple projects simultaneously.
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Qualifications
1. Masters or Ph.D. degree in a quantitative field such as Data Science Computer Science Statistics Mathematics or a related field.
2. Proven experience in leading and managing a team of data scientists including hiring training and mentoring.
3. Strong domain knowledge in a specific industry or sector such as semiconductor or material science.
4. Publications or research experience in the field of data science machine learning or related areas.
5. Experience in working with unstructured data such as text or image data and applying natural language processing or computer vision techniques.
6. Knowledge of advanced analytics techniques such as deep learning or reinforcement learning.
7. Experience in working with data engineering teams to build and optimize data pipelines for data processing and analysis.
8. Familiarity with data privacy and security regulations and ensuring compliance in data science projects.
9. Strong business acumen and the ability to understand and align data science initiatives with business goals and objectives.
10. Active participation in data science communities conferences or meetups and a passion for staying uptodate with the latest advancements in the field
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Employment Type
Full Time
