Job Summary

Responsible for coding and testing customized analytical models of medium to high degree of complexity. Must be able to implement best practices when writing and testing code. Familiarity with the life-cycle of a data science project and extensive experience with python is a must. Requires strong interpersonal and communication skills, and ability to construct GUI interfaces.

•     Gathers, interprets, and manipulates structured and unstructured data to enable analytical solutions for the business. •     Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. •     Experience on building session-level models, and analyze the high-volume clickstream data from digital platform. •     Proven experience in developing sequence modeling using RNN, Transformers, LSTM, XG Boost, Decision trees, Bayesian networks, Random forest, Logistic regression, Support vector machine, Gradient boosting algorithms, Clustering algorithms and Dimensionality Reduction Algorithms. •     Experience / knowledge in Deep Learning model development using Tensorflow, Keras, PyTorch •     Hands on experience in building ML workflows •     Fluent with Natural Language Processing and Text Analytics libraries (NLTK, SpaCy) •     Experience in Model implementation, Governance and monitoring. •   

Key Responsibilities

1. Develop Machine Learning Algorithms Using Python And Tensorflow To Merge, Manage, And Extract Data, Delivering Tailored Reports To Stakeholders.
2. Apply Statistical Techniques And Machine Learning Frameworks Such As Pytorch To Design Custom Data Models And Algorithms, Enhancing Data Processing Capabilities.
3. Utilize Sql To Query Large Datasets, Identifying Meaningful Insights And Interpreting Findings Through Data Mining And Exploratory Data Analysis.
4. Collaborate With Business Stakeholders To Identify And Prioritize Opportunities For Data-Driven Solutions That Support Organizational Goals.
5. Generate Comprehensive Reports And Visualizations That Translate Complex Data Analysis Into Actionable Insights For Stakeholders, Informing Business Decisions.

Skill Requirements

1. Strong Understanding Of Machine Learning Concepts And Frameworks, Including Tensorflow And Pytorch.
2. Proficient In Python Programming For Data Manipulation And Algorithm Development.
3. In-Depth Knowledge Of Sql For Effective Data Querying And Management.
4. Familiarity With Statistical Methods And Data Mining Techniques For Analyzing Large Datasets.
5. Excellent Communication Skills To Convey Technical Findings To Non-Technical Stakeholders.

Other Requirements

1. Optional Certifications: Certified Data Scientist, Tensorflow Developer Certificate, Or Relevant Machine Learning Certifications Are Valuable.