Lead Data Scientist
NielsenIQ
Data Scientist
syrencloud· Data Science
About this role
Job Description: Data Scientist
Position Overview: We are seeking a highly skilled and experienced Data Scientist to join our team. The candidate should have 3-5 years of proven experience in data science with a strong focus on time series forecasting, generative artificial intelligence (Gen AI), classical machine learning (ML), deep learning, and statistics. The candidate should possess a deep understanding of data analysis techniques and methodologies, as well as hands-on experience with Databricks and the Azure platform. Previous experience in retail, particularly fashion retail, is highly desirable.
Key Responsibilities:
• Utilize advanced statistical, machine learning, and time-series forecasting techniques to develop and implement forecasting models that predict future trends, sales, and customer behaviour in the retail industry.
• Leverage Generative AI (Gen AI) techniques and large language models (LLMs) to design and develop innovative business solutions.
• Develop, deploy, and optimize Machine Learning (ML), Deep Learning (DL), and Generative AI models using techniques such as regression, decision trees, random forests, ensemble methods, and neural networks.
• Apply deep learning algorithms to extract meaningful insights from unstructured data sources, including images, text, and audio.
• Collaborate with cross-functional teams to understand business requirements and translate them into scalable and actionable data science solutions.
• Conduct exploratory data analysis (EDA), feature engineering, model development, and validation to ensure the accuracy, robustness, and reliability of predictive models.
• Work closely with stakeholders to communicate findings, insights, and recommendations in a clear, concise, and business-oriented manner.
Qualifications:
· Bachelor's or master's degree in computer science, Statistics, Mathematics, or a related field.
· 3-5 years of experience in data science, with a focus on forecasting, ML, deep learning, and statistics.
· Proficiency in programming languages such as Python, SQL, and PySpark.
· Hands-on experience with python libraries (forecasting, classification, clustering, optimization, NLP) data visualization tools (e.g., Matplotlib, Seaborn) for communicating complex ideas effectively.
· Proven history in successfully executing forecasting and gen AI projects.
· Strong understanding of cloud computing platforms, particularly Azure, and experience with Databricks for data processing and analysis.
· Excellent problem-solving skills and the ability to work independently or as part of a team in a fast-paced environment.
· Previous experience in the retail industry, especially fashion retail, is preferred.
Frequently Asked Questions
Is the salary disclosed for the Data Scientist position at syrencloud?
The salary for this Data Scientist role at syrencloud is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Is the Data Scientist role at syrencloud full-time or part-time?
This is listed as a FULL TIME position. It is posted as a Data Scientist role in the Data Science department at syrencloud.
Which team or department does the Data Scientist at syrencloud belong to?
This Data Scientist position is part of the Data Science department at syrencloud. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Data Scientist position at syrencloud?
Click the "Apply Now" button on this page. You will be redirected to syrencloud's official application portal hosted on keka where you can submit your application directly.
When was the Data Scientist job at syrencloud posted?
This Data Scientist position at syrencloud was posted on Aug 18, 2026. Apply as soon as possible — early applications are often reviewed first.
Data Scientist
syrencloud
You'll be redirected to syrencloud's official application page on keka.