Syren Technologies - Data Scientist

• Job Title: Data Scientist
• Location: Hyderabad (Hybrid, Remote)
• Job Type: Full-time
• Experience Level: 3-6 Years
• Responsibilities:
• Feature Engineering and Data Preprocessing:

• Work with raw data to perform data cleaning, transformation, and feature engineering to prepare datasets for analysis.
• Collaborate with cross-functional teams to gather and understand data requirements.

Model Deployment and Monitoring:

• Maintain, optimize, and scale recommendation engines used in FMCG or consumer goods environments to ensure high availability, accuracy, and low-latency performance across channels.
• Continuously improve recommendation models using advanced ML techniques such as collaborative filtering, content-based filtering, matrix factorization, and hybrid recommender systems Model.

Collaboration and Communication:

• Collaborate with product, marketing, and engineering teams to integrate recommendations into consumer - facing applications, personalization engines, or B2B retail platforms.
• Communicate complex findings and insights in a clear and understandable manner to both technical and non - technical stakeholders.

Continuous Learning and Research:

• Stay abreast of industry trends and advancements in data science and machine learning.
• Continuously enhance skills through training and self-directed learning.

Qualifications:

Education and Experience:

• Bachelor's or master's degree in computer science, Statistics, or a related field.
• Proven experience as a Data Scientist.

Technical Skills:

• Strong proficiency in Python for data analysis, statistical modeling, and machine learning (e.g., pandas, scikit-learn, statsmodels, NumPy).
• Hands-on experience in developing recommendation engine & Graph embedding algorithms like GraphSAGE.
• Hands-on experience on handling Large Dataset using Azure Databricks and Azure Cloud is must.
• Strong understanding on Model Evaluation parameters.
• Experience with machine learning frameworks (e.g. PyTorch, scikit-learn).
• Strong knowledge of statistical analysis and data visualization tools.

• Problem-Solving:
• - Ability to translate business problems into analytical frameworks and develop data-driven solutions.
• Communication Skills:
• - Strong interpersonal and communication skills with the ability to explain complex concepts to non-technical stakeholders.
• Team Collaboration:
• - Demonstrated ability to work effectively in a collaborative team environment.