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Data Scientist/Analyst вакансия 111990761

Вакансия: Data Scientist/AnalystWaveAccess
Работодатель: WaveAccess
Обновлено: 27.11.2024 19:52:44
Регион: Кутаиси
Опыт работы: Нет опыта
Оплата: ЗП не указана
Тип занятости: Полная занятость
Описание:

Waveaccess is looking for a Data Scientist to join our team and contribute to innovative projects in the pharmaceutical domain. This role focuses on analyzing complex real-world datasets, designing impactful experiments, and presenting insights effectively to drive decision-making.

Responsibilities

1. Data Analysis:

  • Perform advanced data analysis on pharmaceutical datasets to extract actionable insights.
  • Apply statistical methods to validate hypotheses and ensure data quality.
  • Utilize SQL to query and preprocess data stored in Snowflake for analysis and modeling.

    2. Data Visualization and Presentation:
  • Create clear and compelling visualizations to communicate results to technical and non-technical stakeholders.
  • Present findings in a concise and impactful way to support business decisions.

    3. Experiment Design and Insights:
  • Develop methodologies for analyzing data and testing hypotheses.
  • Collaborate with stakeholders to define project goals and provide data-driven recommendations.

    4. Model Development:
  • Build and validate predictive models for tasks such as patient outcomes, drug efficacy, or operational optimization.
  • Apply machine learning techniques to derive insights from structured and unstructured data.

    5. Collaboration and Innovation:
  • Work closely with cross-functional teams to understand business needs and deliver tailored solutions.
  • Stay updated on the latest trends in data science and bring innovative ideas to the team.

Requirements

  • At least 3 years of experience in a Data Scientist role.
  • Proficiency in Python and the ability to write clean, maintainable code.
  • Strong skills in data analysis and statistical testing.
  • Proven ability to visualize and present complex data effectively using tools like Matplotlib, Seaborn, etc.
  • Experience with standard machine learning techniques and tools.
  • SQL skills and experience querying large datasets, preferably in Snowflake.
  • English proficiency at B2 level or higher.

    Technologies
  • Programming Languages: Python
  • Machine Learning Stack: Standard ML stack (scikit-learn, pandas, numpy)
  • Visualization Tools: Standard visualization tools (Matplotlib, Seaborn, Seaborn)
  • Database Skills: Basic SQL
  • Version Control: Git

Preferred

  • Knowledge of mathematical statistics and its application to data analysis.
  • Experience working in the pharmaceutical domain or on real-world datasets.
  • Familiarity with cloud platforms like AWS (EC2, S3).
  • Understanding of Linux and command-line tools (bash, ssh).
  • Experience in collaborating with business stakeholders and presenting findings effectively.

    Nice to Have
  • Knowledge of Snowflake for advanced data handling.
  • Experience with Docker and basic CI/CD workflows.
  • REST API development experience.
  • Exposure to other programming languages like Java or C++, R.


What We Offer

  • Work in a dynamic international team.
  • Employment according to labor law, 100% payment for sick leave and vacation.
  • Opportunity for cooperation through individual entrepreneurship/self-employment.
  • Participation in foreign and Russian projects.
  • Health insurance with dental coverage.
  • Necessary equipment for work.
  • Corporate training programs.
  • Broad opportunities for self-realization, professional and career growth.
  • Democratic approach to processes and flexible start of the workday.

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