Senior Data Scientist
vakansiya — 2025

Şirkətlər üçün:

Elan sifarişi:
elan@offer.az
Reklam sifarişi:
reklam@offer.az

Job Overview:

We are seeking an experienced and highly motivated Senior Data Scientist to join our dynamic team. As a Senior Data Scientist, you will leverage your expertise in data analytics, machine learning, and statistical modeling to drive impactful business decisions. You will work closely with cross-functional teams to develop advanced models and extract insights from complex datasets to enhance our insurance offerings and improve customer experience.

Key Responsibilities:

  • Lead the design, development, and deployment of machine learning models and advanced analytics solutions to solve complex business problems.
  • Collaborate with stakeholders to understand business needs, translate them into analytical requirements, and deliver actionable insights.
  • Mentor and guide junior data scientists, fostering a culture of continuous learning and professional development.
  • Conduct exploratory data analysis to identify patterns, trends, and opportunities for optimization.
  • Develop and maintain comprehensive documentation for data science projects, including methodologies, processes, and model performance metrics.
  • Stay up-to-date with the latest advancements in data science, machine learning, and artificial intelligence to ensure the application of cutting-edge techniques.
  • Communicate findings and recommendations to non-technical stakeholders through clear and concise presentations and reports.
  • Work with engineering teams to implement scalable data pipelines and integrate models into production systems.

Qualifications:

  • Bachelor’s in Data Science, Statistics, Computer Science, Mathematics, Economics or a related field.
  • 3+ years of experience in data science, with a proven track record of delivering successful data-driven solutions in a business environment.
  • Proficiency in programming languages such as Python, R and experience with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn).
  • Strong knowledge of machine learning algorithms, statistical modeling, and data visualization techniques.
  • Excellent problem-solving skills and the ability to think critically and analytically.
  • Strong communication skills, with the ability to present complex concepts to technical and non-technical audiences.
  • Experience in the insurance industry or a related field is a plus.

Preferred Skills:

  • Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch).
  • Experience with A/B testing and experimental design.
  • Knowledge of natural language processing (NLP) and text analytics.
  • Understanding of data privacy regulations and best practices in data security.

Oxşar vakansiya siyahısı:

2000 — 3000 ₼
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