Data Scientist - Bengaluru at Citi

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

31 Mar, 26

Salary

0.0

Posted On

31 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Marketing Analytics, Hypothesis Testing, Segmentation, Time Series Forecasting, Natural Language Processing, Python, R, SQL, TensorFlow, PyTorch, Data Preprocessing, Feature Engineering, Model Training, Tableau

Industry

Financial Services

Description

Bachelor's or Master's Degree with 5-8 years of experience in data science and analytics Marketing analytics experience Experience on business problems around sales/marketing strategy optimization, pricing optimization, client experience, cross-sell and retention Experience across different analytical methods like hypothesis testing, segmentation, time series forecasting, test vs. control comparison etc. Strong hands-on knowledge of Data Science and Machine Learning, including supervised learning algorithms (both Classification and Regression) such as Linear Regression, Random Forest, XGBoost, Support Vector Machines, etc., as well as unsupervised learning techniques (e.g., clustering, dimensionality reduction). Experience building and deploying time series models for forecasting and anomaly detection. Experience with unstructured data analysis, e.g., call transcripts, using Natural Language Processing (NLP)/Text Mining techniques. Experience building end-to-end machine learning pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment. Experience in financial services Deep learning experience; able to work with Neural Networks using TensorFlow and/or PyTorch. Knowledge on working with GenAI and LLM Ability to understand complex business problems, break them down into simpler solvable parts and develop analytical approaches to tackle them Strong logical reasoning and problem-solving ability Proficient in converting business problems into analytical tasks, and analytical findings into business insights Proficient in identifying trends and patterns with data Has the ability to work hands-on to retrieve and manipulate data from big data environments Proficient in Python/R, PySpark, SQL Proficient with ML libraries such as Scikit-learn, TensorFlow and PyTorch Proficient in MS Excel, PowerPoint Experience with Tableau Experience in Hive Ability to identify, clearly articulate and solve complex business problems and present them to the management in a structured and simpler form Should have excellent communication and inter-personal skills Strong process/project management skills Ability to coach and mentor juniors Contribute to organizational initiatives in wide ranging areas including competency development, training, organizational building activities etc. ------------------------------------------------------ For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------

Responsibilities

The Data Scientist will analyze business problems related to sales and marketing strategy optimization, pricing, and client experience. They will build and deploy machine learning models and contribute to organizational initiatives.