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Open nowPosted 66 days ago

Data Scientist

Syren Cloud34 open roles

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Your applicationOpen nowData ScientistSyren Cloud

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Early applications get read.

11.9% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.9%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 66 days ago

The posting

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.

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