Data Scientist II (Python and ML) - Part-time

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Requirements:

• A minimum of 8 years of demonstrated related working experience.
• Extensive experience in Python, particularly in developing machine learning and NLP models.
• Strong expertise in numpy, pandas, and/or scipy for data analysis.
• 3+ years of experience in machine learning, with a strong track record of developing and deploying recommendation systems.
• Extensive experience with AWS for deploying and managing machine learning models.
• Excellent analytical and problem-solving skills, attention to detail.
• Proficiency with deep learning tools like TensorFlow, scikit-learn, and visualization tools like Tableau.
• Ability to view data strategically and ask pertinent questions.

Responsibilities:

• Coaches and mentors others by example and through direct coaching on machine learning and artificial intelligence skills.
• Guides team on evaluating the customer’s needs, advising on both the benefits and risks of potential artificial intelligence.
• Facilitates customer understanding of the impact of AI on their operating model and develops their skills in machine learning solutions.
• Develops custom data models, algorithms, and predictive models to perform multifaceted analysis.
• Builds and maintains predictive models and machine learning algorithms from the ground up to solve real-world business challenges.
• Stitches, calibrates, and optimizes sparse and noisy data across various data sources.
• Collaborates with various stakeholders to understand business problems, define them into KPIs, and deliver insightful analysis.
• Conducts regular, ad-hoc data needs to better understand customer behaviors. Supports teams in running growth programs and A/B tests.
• Understands and ensures ongoing data quality, researches industry trends, and applies solutions to support customers.