Data Science Architect
hace 21 horas
Job Title: Data Science Architect
We are seeking an experienced Data Science Architect to join our team at Publicis Re:Sources Global. This role is a critical part of our organization, and we're excited about the opportunity to bring in someone who can help us drive innovation and success.
Estimated Salary: $120,000 - $180,000 per year
About Us:
Publicis Re:Sources Global is a leading digital agency that helps businesses succeed in the rapidly changing digital landscape. We're proud of our collaborative culture and commitment to excellence.
About the Role:
As a Data Science Architect, you will play a key role in shaping the future of our organization. Your expertise in data science and machine learning will be essential in helping us develop innovative solutions that drive business results. You will work closely with our cross-functional teams to design, build, and deploy cutting-edge data science models that deliver real value to our clients.
Responsibilities:
- Design and develop advanced data science models using Python libraries such as SciPy, NumPy, TensorFlow, and Scikit-Learn.
- Work with large datasets and implement efficient algorithms for data processing and analysis.
- Collaborate with data engineers to ensure seamless integration with cloud-based infrastructure and data storage solutions.
- Develop and maintain REST APIs for data exchange and streaming datasets.
- Stay up-to-date with the latest advancements in data science and machine learning, and apply this knowledge to improve our existing models and processes.
- Communicate complex technical ideas to non-technical stakeholders and provide guidance on data-driven decision-making.
- Mentor junior data scientists and contribute to the growth and development of our team.
Requirements:
- Strong experience working with data science/ML libraries in Python (SciPy, NumPy, TensorFlow, Scikit-Learn, etc.).
- Experience building data science models for use on front-end, user-facing applications, such as recommendation models.
- Strong understanding of cloud development environments, especially Azure, ADF, PySpark, Scala, Databricks Delta, R, SQL.
- Experience working with relational SQL and NoSQL databases.
- Strong analytical and problem-solving skills, with the ability to think creatively and outside the box.
Benefits:
We offer a competitive salary, comprehensive benefits package, and opportunities for professional growth and development. If you're passionate about data science and driven by innovation, we'd love to hear from you
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