Senior Data Scientist

Summary

Join Nagarro, a rapidly scaling digital product engineering company, as a Senior Data Scientist. Lead data-driven projects, collaborating with a team of data professionals to build and deploy advanced statistical models and machine learning solutions. Drive data-driven decision-making and innovation, guiding the team from project inception to completion. Leverage data and analytical tools, strategic thinking, and hypothesis-based analysis on machine learning projects. Model complex business problems using various techniques and communicate insights to stakeholders. Contribute to the organization's strategic vision and growth while fostering a culture of continuous improvement.

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

• Lead data-driven projects that drive strategic decisions and innovation
• Work closely with a team of data professionals to build and deploy advanced statistical models and machine learning solutions aligned with business goals
• Participate in data science projects from inception to completion, ensuring alignment with business objectives and timely delivery
• Provide an impact by leveraging 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