Senior Data Scientist Engineer

Summary

Join Nagarro, a rapidly scaling digital product engineering company, as a Data Scientist. You will play a pivotal role in driving data-driven decision-making and innovation, working with a team of data professionals. Responsibilities include developing and implementing advanced statistical models and machine learning algorithms, participating in data science projects from inception to completion, and leveraging data and analytical tools. You will model complex business problems and communicate insights to stakeholders. This role fosters collaboration and promotes a culture of continuous improvement. The ideal candidate possesses strong Python and SQL skills, along with extensive experience in data science projects.

Requirements

• At least 5+ years of relevant project experience in successfully launching, planning, and executing data science projects, including statistical analysis, data engineering, and data visualization
• Proven experience in conducting statistical analysis and building models with advanced scripting languages
• Experience leading projects that apply ML and data science to business functions
• Fluency in multiple programming languages and statistical analysis tools such as Python, PySpark, C++, JavaScript, R, SAS, Excel, SQL
• Knowledge of distributed data/computing tools such as MapReduce, Hadoop, Hive, or Kafka
• Knowledge of statistical and data mining techniques such as generalized linear model (GLM)/regression, random forest, boosting, trees, text mining, hierarchical clustering, deep learning, convolutional neural network (CNN), recurrent neural network (RNN)
• Strong understanding of AI, its potential roles in solving business problems, and the future trajectory of generative AI models
• Ability to communicate complex projects, models, and results to a diverse audience with a wide range of understanding
• Ability to work in diverse, cross-functional teams in a dynamic business environment
• Superior presentation skills, including storytelling and other techniques to guide and inspire
• Familiarity with big data, versioning, and cloud technologies such as Apache Spark, Azure Data Lake Storage, Git, Jupyter Notebooks, Azure Machine Learning, and Azure Databricks
• Familiarity with data visualization tools (Power BI experience preferred)
• Knowledge of database systems and SQL
• Strong communication and collaboration abilities
• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field

Responsibilities

• Develop and implement advanced statistical models and machine learning algorithms
• Participate in data science projects from inception to completion, ensuring alignment with business objectives and timely delivery
• Leverage data and analytical tools, strategic thinking, and hypothesis-based analysis on machine learning (ML)-based projects
• Model complex business problems through statistical, algorithmic, mining, and visualization techniques
• Foster collaboration across departments and communicate insights to stakeholders
• Contribute to the strategic vision and growth of the organization, while also promoting a culture of continuous improvement, curiosity, ownership and data practices

Preferred Qualifications

Specialization in text analytics, image recognition, graph analysis, or other specialized ML techniques, such as deep learning, is preferred