Senior Data Scientist

Join our Team

About This Opportunity

As a Senior Data Scientist, you'll be responsible for developing scientific methods, processes, and systems to extract knowledge or insights to drive the future of applied analytics. Provide thought leadership, perform Advanced Statistical Analytics, and build insights into data to provide to the business useful insights, identify trends, and measure performance that addresses business problems. Collaborate with business and process owners to understand business issues, and with engineers to implement and deploy scalable solutions, where applicable.

What you will do:

• Perform Data Science leadership.
• Synthesize problems into data question(s).
• Decide approach for Data Science.
• Design & perform data science experiments.
• Do Proof-of-Concepts on Cloud Infrastructures.
• Develop Data Science Infrastructure & Tools.
• Convert data into useful insights.
• Act in external relations.
  
  

The skills you bring:

• A bachelor's or master's degree in computer science, engineering, or a related field.
• Minimum 6+ years of professional work experience in technology, business analytics and working with large data sets, preferably in a global environment with distributed virtual teams.
• Minimum 4+ years of experience in data science.
• Fluency in Python is a MUST.
• Excellent general Software Engineering skills: maintainable code, testing, design principles, Object Oriented Programming.
• A good conceptual understanding of statistics, probability, multivariable calculus, and linear algebra.
• A good understanding of the underlying theory for both classical machine learning as well as deep learning algorithms.
• Experience with using ML and DL frameworks (Tensorflow, Pytorch, Keras, etc.).
• Experience with data manipulation and analysis using Pandas is a must.
• Expertise in unsupervised learning techniques and advanced clustering algorithms, with a focus on practical application and interpretation of results.
• Experience with Python Visualization Libraries (Matplotlib, Plotly, Seaborn, etc.).
• Experience in packaging machine learning work.
• Experience with version control systems (e.g., Git).
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) for data processing, model training, and model deployment.
• Experience with using testing frameworks (Pytest, Unittest, etc.).
• Experience with reinforcement learning is a strong plus.
• Demonstrated skills in Generative AI, with hands-on experience in working with LLMs and RAGs.
• Hands-on involvement in fine tuning LLMs is a bonus.
• Experience with SQL is a plus.
• Knowledge of natural language processing (NLP) techniques and tools, or experience with generative models like GPT or BERT is highly desirable.
• Experience with Tableau or Power BI is a plus.
• The ability to handle large amounts of high dimensional data (knowledge of Hadoop or Spark) is a plus.
• Effective collaboration in cross-functional teams.
• Leadership skills and ability to mentor junior data scientists.