Associate Data Scientist,D&T

3 weeks ago

bangalore, India West Pharmaceutical Services Full time

Job Summary

:

The Associate Data Scientist, Digital and Transformation will work with a multidisciplinary team to design and develop innovative data-driven analytical products and solutions for business problems using advanced analytics, data mining, and machine learning.

Essential Duties and Responsibilities:

• Work with the team to identify opportunities for leveraging novel statistical and machine learning techniques on data problems to solve strategic business questions.
• Assist in retrieving, compiling, and formatting of large volumes of data from internal and external sources.
• Assess with guidance the effectiveness and accuracy of data sources and data gathering techniques.
• With guidance perform data mining on large datasets (structured and unstructured), design algorithms, build models, and do analysis using advance modeling techniques to qualitatively understand the data and use results to implement change.
• Work with the team to establish scalable, efficient automated processes for large-scale data analyses, model development, model validation, and model implementation.
• Asist in Developing processes and tools to monitor and analyze model performance and data accuracy.
• Work with the team to arrive at data-driven insights and recommendations.
• Visualize data for concise, clear delivery of highly relevant insights
• Collaborate closely with internal experts to operationalize data-driven solutions.
• Other duties as assigned.

Education and Experience:

• Bachelor’s in computer science/math/stats or other quantitative field with strong academic background
0-3 years of experience .


Minimum Knowledge, Skills and Abilities:

• Hands on experience with Python, C/C++/C# , Node.js or any other equivalent programming language
• Experience in machine learning technologies
• Experience with some machine learning frameworks – Scikit, MLPack, TF, SparkMLib, Caffe, …
• Experience in building, validating and evaluating of machine learning model
• Experience in building feature selection for machine learning
• Experience in building distributed systems
• Knowledge of working with R, Anaconda environment or Jupyter notebooks or related tools 
• Should have a strong background and skill-sets related to programming and software development
• Should have a product development mindset and work in a fast paced and agile environment
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.

Preferred Knowledge, Skills and Abilities:

• Expertise in Python Scripting
• Classification methods - Decision Trees, K-Nearest Neighbor, Naive Bayes Classifier, Support Vector Machines, Neural Networks
• Regression Methods: Linear, Multiple, Logistic Regression, Gamma Regression, Random Forest
• Unsupervised Machine Learning: K-Means Clustering, PCA, Hierarchical Clustering
• Time-Series Modeling: AR, ARMA, GARCH, Exponential Smoothing,
• Statistical Analysis: Hypothesis Testing, Experiment Design,
• Advanced and modern algorithms related to Natural Language Processing (NLP)
• Advanced and modern algorithms related to Computer Vision
• Exposure to Docker, Containerization, Azure/AWS.
•

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