GTM Analytics Lead owning revenue data models, metrics, and Sales BI. Powering decisions for ButterflyMX’s smartphone - based building access platform.
About the role
- Senior Data Scientist developing advanced machine learning models and managing data science services. Working in a hybrid environment to address client needs and optimize business functions.
Responsibilities
- As a core member of our team, you will support AI and Machine Learning opportunities across our client portfolios.
- Your responsibilities include building, validating, deploying, and monitoring advanced descriptive, predictive, and prescriptive machine learning models.
- Analyze client data to identify optimization opportunities across business functions such as product development, marketing, supply chain, operations, manufacturing, R&D, and more.
- Leverage commercial and open-source AI and Machine Learning tools, Big Data ecosystem technologies, as well as BI, visualization, and discovery tools to deliver advanced models and other data science solutions.
- Proactively monitor and fine-tune AI/ML model performance, manage champion/challenger models to ensure optimal performance and resource utilization.
- Ensure all AI/Machine Learning models are properly packaged and documented for deployment.
- Participate in client training and knowledge transfer as required.
Requirements
- Degree in AI, Machine Learning, Statistics, Economics/Econometrics, Computer Science, Engineering, or equivalent.
- 5+ years of hands-on experience building predictive ML/AI models for customer experience, customer journey analysis, customer segmentation, churn modeling, lookalike modeling, or equivalent use cases.
- Strong command of various machine learning techniques and their practical trade-offs.
- 3+ years of experience in text mining and NLP.
- Experience with some or all of the following scripting languages: Python, R, SAS, Java, C++, SPSS, MATLAB.
- Experience with deep learning frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers.
- Deep understanding and mastery of the predictive modeling lifecycle and best practices for feature engineering, model development and tuning, model validation, deployment packaging, model management, and performance monitoring.
- Experience leading teams of junior and senior data scientists.
- Proficiency with open-source AI/ML/data science tools, R, Python, and Spark, including working with notebooks (Zeppelin, Jupyter) and data science workbenches (Azure, DSX).
- Expertise in large language models (LLMs) and strong proficiency with LangChain and associated orchestration tools.
- Experience querying databases and using statistical programming languages: R, Python, SQL, etc.
- Data Scientist certification(s), including Azure, Hadoop, Spark, or equivalent production experience.
Benefits
- Opportunity to join and grow within an expanding professional network of leading clients and respected colleagues.
- Permanent full-time employment (40 hours per week).
- Hybrid and flexible working arrangements (remote and/or office).
- Competitive salary and bonus structure.
- Comprehensive group benefits plan.
- Employer-matched retirement savings plan.
- Family-oriented company culture.
- Summer "Flex Fridays".
- Complimentary access to the on-site gym.
- Subsidized catering and free office snacks.
- Vacation days plus 6 personal days per year.
- Casual work environment: jeans welcome!
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