آگهی‌های استخدامی

استخدام Data scientist (NLP/LLM)

پارس پک | ParsPack
تهران، تهران

شرح موقعیت شغلی

Responsibilities:

  • Develop, optimize, and deploy machine learning models.
  • Analyze historical data to identify patterns and trends using statistical analysis.
  • Collaborate with cross-functional teams to understand business requirements and data needs.
  • Utilize ETL processes to gather, clean, and transform data for modeling purposes.
  • Continuously improve existing models through feature engineering and hyperparameter tuning.
  • Research and implement cutting-edge statistical modeling methodologies.
  • Present data-driven insights to stakeholders and guide data-driven decision-making.
  • Ensure compliance with data privacy and regulatory standards.
Requirements:

  • Bachelor's or Master's degree in Data Science, Statistics, Mathematics, or a related field.
  • 2-3 years of hands-on experience in statistical modeling, analysis, and machine learning.
  • Proficiency in statistical analysis using tools like Python (NumPy, SciPy, Pandas) for data manipulation and exploration.
  • Extensive experience in developing predictive models, interpreting outputs, and evaluating performance.
  • Familiarity with SQL for data retrieval and manipulation.
  • Strong problem-solving skills and analytical thinking.
  • Effective communication to convey complex statistical concepts.
  • Attention to detail and a passion for data-driven decision-making.
  • Familiarity with libraries like scikit-learn and PyTorch or TensorFlow.
Bonus Skills:

  • Experience with big data technologies like Apache Spark.
  • Understanding of data visualization like Redash or Metabase.
  • Familiar with fine-tuning LLMs

    Additional Information
    We Offer:
    - Supplemental Health Insurance
    - Flexible working hours
    - Lunch Allowance
    - Warm and friendly attitude to every specialist
    - Professional growth
    - Competitive Salary

مهارت‌های مورد نیاز

  • Data science
  • Python
  • SQL

حداقل سابقه کار

  • کمتر از سه سال

جنسیت

  • مهم نیست

وضعیت نظام وظیفه

  • مهم‌ نیست

نوع همکاری:

تمام وقت

تاریخ انتشار آگهی:

۱۴۰۳/۰۱/۲۰
ارسال رزومه