Lead Data Scientist

Job Title: Sr. Data Scientist

THIS ROLE IS REMOTE (Phoenix, AZ)

Experience: 10 to 13 years

Must Have Skills: Good hands-on experience with Python development and Technical Lead abilities

Certifications Required: Certified Data Scientist, TensorFlow Developer Certificate, AWS Certified Machine Learning Specialty

Job Summary: We are seeking a highly skilled Sr. Architect with 10 to 13 years of experience in Data Science to join our team. The ideal candidate will have a strong technical background and be proficient in English. This role requires working from the office during day shifts. The Sr. Architect will play a crucial role in designing and implementing data science solutions that drive business value and impact society positively.

Responsibilities:

• MS/PhD in engineering or compute intensive physics/math/basic sciences

• 2-3 years enterprise experience, preferably as a senior-DS or MLE.

• Strong python and SQL

• Someone who is willing and proficient in hands on coding and willing to wear many hats

• Lead the design and implementation of data science solutions to address complex business challenges.

• Oversee the development and deployment of machine learning models and algorithms.

• Provide technical guidance and mentorship to junior team members.

• Collaborate with cross-functional teams to gather and analyze requirements.

• Ensure the scalability and performance of data science solutions.

• Conduct thorough testing and validation of models to ensure accuracy and reliability.

• Develop and maintain documentation for data science processes and methodologies.

• Stay updated with the latest trends and advancements in data science and machine learning.

• Communicate findings and insights to stakeholders in a clear and concise manner.

• Optimize data pipelines and workflows for efficiency and performance.

• Participate in code reviews and ensure adherence to best practices.

• Contribute to the continuous improvement of data science practices within the organization.

• Drive innovation by exploring new techniques and technologies in data science.

Qualifications:

• Possess a strong background in data science with 10 to 13 years of relevant experience.

• Demonstrate proficiency in machine learning, statistical analysis, and data visualization.

• Have experience with programming languages such as Python or R.

• Show expertise in using data science tools and frameworks like TensorFlow, PyTorch, or scikit-learn.

• Exhibit strong problem-solving skills and the ability to think critically.

• Have excellent communication skills in English, both written and spoken.

• Display a collaborative mindset and the ability to work effectively in a team environment.

• Be detail-oriented and committed to delivering high-quality results.

• Stay current with industry trends and continuously seek to improve skills and knowledge.

• Demonstrate experience in working with large datasets and cloud platforms.

• Have a solid understanding of data engineering principles and practices.

• Show the ability to manage multiple projects and priorities effectively.

• Possess a passion for leveraging data to drive business value and impact society positively.

Years of Experience: 13.00 Years of Experience