Senior Data Scientist 53 views

Deloitte Consulting LLP is one of the world’s leading management consulting firms for executable strategy, operations, technology, and human capital advisory services. They provide powerful business solutions to some of the world’s most well-known and respected companies, including more than 75 percent of the Fortune 100.

The NBI Machine Learning Group

The machine learning group sits in the Deloitte Platform (DP) practice, part of Deloitte Consulting LLP, which supports the firm on a technical level to offer a variety of mixed services to provide the clients’ needs. The machine learning team specifically focusses on creating products and solutions that require deeper analytical and problem-solving skills to create tangible results. This is a continuous cycle where they strive to keep innovating and provide state-of-the-art assets.

Senior Data Scientist Position Scope

As a senior data scientist, you are required to master all the processes necessary in a data science project. This will involve data cleaning, wrangling, and exploratory data analysis, feature generation and selection, creating models, and boost their performance & accuracy. You will assist and guide more junior resources and act as a sounding board. It is important that the person in this role is proactive and independent and able to articulate to a technical and non-technical audience. The ideal candidate should be able to develop code that is robust, well-documented and performant. You should be a problem solver with an open mind and an eagerness to pick-up new skills ranging from deeper statistical analysis and better modeling skills to honing programming and communication skills. The senior data scientist is expected to follow up and guide junior resources on the latest trends in the field.

Responsibilities:

• Work on complex data structure, apply different feature engineering and data mining techniques to select right data and feature set for ML models.
• Apply different Machine Learning techniques like regression, classification, CART, Random Forest, XGBoost and other ensembled methods to solve business problems.
• Being an individual contributor work with a project team of consultants and Sr. consultants from different geo locations to achieve common business goal.
• Apply analytical thinking and solve multiple challenges like data imbalance, overfitting, accuracy improvement etc.
• Analyze raw data using statistics and machine learning techniques to draw conclusions and actionable recommendation.
• Use various visualization methods to understand data distributions, patterns and communicate findings to project lead and further improve model performance.
• Create presentations and communicate project outcomes to Senior Management.
• Mentor assigned team members and guide them as an SME to solve their business queries. also help them grow in their carrier.
• Update your knowledge base with AIML advancement.

Skills & Qualifications:

Required:

• Strong problem-solving skills with emphasis on product development.
• Strong programming skills in Python and experience in python libraries such as Numpy, Pandas, Scikit, Matplotlib, Seaborn, Plotly, SHAP etc.
• Deep knowledge of advanced analytics, data wrangling and Machine Learning Algorithms.
• Ability to manage multiple projects at a time.
• Strong communication and critical thinking skills.
• 5+ years of hands-on experience in implementing ML models at client side or internal projects.
• Should have Bachelor’s or Master’s degree in Engineering/Computer Science/Statistics/Mathematics or other quantitative field and familiar with python/R programming languages.

Preferred:

• Knowledge of ML model deployment in any of the cloud services is appreciated
• Experience in Neural network, deep learning and test analysis is good.
• Knowledge of other big data languages like spark, scala, Hive, SQL are good to have.