Lead Data Scientist

Role & responsibilities

• Bachelors or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• 5+ years’ experience in Data Science, Statistics, Data Mining, hypothesis validation and design of Algorithms with Strong Exposure to modern ML stack (Scikit Learn, NLP, SparkML, Pytorch, TensorFlow Etc.)
• 5+ Years of experience in Writing high performance production Data Science Code in Python
• Proficient with SQL, Data Modelling, Databases Data Lakes technologies such as Delta
• 2+ years of quality experience in Spark programming and Delta Architecture, distributed data processing. Exposure to Databricks or any managed Spark Runtime on Cloud (Dataproc / EMR) would be preferred
• Quality Experience in Delivering Data Science Solutions in production deployments in any major cloud platform - Azure/Google/AWS or on Databricks.
• Strong Deep Learning Expertise: Practical experience in designing, training, evaluating, and optimizing deep learning networks.
• Excellent Understanding of Machine Learning Methods: Knowledge of machine learning methods for classification, regression, and clustering.
• Hands on experience in building scalable Data, ML Pipelines and in design and deployment of ML Algorithms in Production
• Comfortable with Fast Paced Development Experience Zero to One build skills
• Communication Skills: Proficiency in English for presenting data insights and results through visualizations
• Excellent knowledge of version control (GIT) and Software Release management for DS Solutions.
• Excellent skills in terms of authoring technical specification documentation and structuring release cycles
• Proven experience managing a live product / platform and collaborating with product managers or business stakeholders to achieve business goals
• Strong passion for product development and a keen understanding of customer requirements
• Enthusiastic about creating high-performing teams and effective organizational structures

High integrity, and a great hunger to learn and develop as a software engineer