About this role

Data Scientist

Job requirements

Experience Range: With 4 to 6 years of experience in advanced data science roles, including hands-on involvement in machine learning and statistical modeling projects Key Responsibilities:

Develop and implement Next Best Offer models and advanced data science solutions to drive business objectives and enhance customer engagement

Apply statistical techniques such as hypothesis testing, t-tests, z-tests, and regression methods to extract actionable insights and support data-driven decision-making

Build, validate, and optimize machine learning models using Python, PySpark, and R to ensure high accuracy and reliability

Leverage probabilistic graph models and classification algorithms, including decision trees and support vector machines, to address complex business challenges

Optimize and automate machine learning pipelines for scalable deployment using KubeFlow and BentoML, improving operational efficiency

Conduct comprehensive statistical analysis with SAS, SPSS, and R Studio to inform business strategies

Monitor model performance using evaluation metrics and recommend data-driven improvements to maintain model effectiveness

Collaborate with cross-functional teams to translate business requirements into impactful data science solutions

Required Skills:

Python

PySpark

SAS

SPSS

Probabilistic graph models

Regression methods (linear and logistic)

Forecasting methods (exponential smoothing, ARIMA, ARIMAX)

TensorFlow

PyTorch

Scikit-learn

CNTK

Keras

MXNet

Decision trees

Support Vector Machines (SVM)

Distance metrics (Hamming, Euclidean, Manhattan)

KubeFlow

BentoML

Preferred Skills:

Experience with Great Expectations and Evidently AI for model validation and monitoring

Expertise in deploying machine learning models in cloud-based environments

Knowledge of advanced ensemble methods and boosting algorithms

Familiarity with A/B testing and experimental design

Background in recommendation systems and personalization algorithms

Desired Qualifications:

Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a quantitative discipline relevant to data science

Certification in Machine Learning or Data Science from a recognized institution such as Coursera, edX, or DataCamp

Relevant certification in statistical analysis or analytics, such as SAS Certified Statistical Business Analyst

Data Scientist

About this role

Job requirements

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