
Advanced Data Science Professional
2 days ago
Job Title: Advanced Data Science Professional
Job Description:
We are seeking an experienced and skilled data science professional to join our team. As a key member of the organization, you will be responsible for developing and implementing advanced data engineering pipelines, designing scalable cloud-based data architectures, and collaborating closely with business domain experts to identify and drive key business value drivers.
Required Skills and Qualifications:
- Minimum of 8 years of experience as a data scientist engineer with demonstrated expertise in data engineering and cloud computing technologies.
- Exceptional communication and interpersonal skills.
- Proficiency in Microsoft Office 365 applications.
- Ability to work independently, demonstrate initiative, and provide strategic guidance.
- Strong networking, communication, and people skills.
- Outstanding organizational skills with the ability to work independently and as part of a team.
- Excellent technical writing skills.
- Effective problem-solving abilities.
- Flexibility and adaptability to work flexible hours as required.
- Client Focus: Tailoring skills and understanding client needs to deliver exceptional results.
- Excellence: Striving for excellence defined by clients, delivering high-quality work.
- Trust: Building and retaining trust with clients, colleagues, and partners.
- Teamwork: Collaborating effectively to achieve collective success.
- Responsibility: Taking ownership of performance and safety, ensuring accountability.
- People: Creating an inclusive environment that fosters individual growth and development.
Benefits:
- Experience working with unstructured data formats such as PDFs, DOCX, and images.
- Strong familiarity with data science best practices and the ML lifecycle.
- Strong experience with data pipeline development, ETL processes, and data engineering tools such as Apache Airflow, PySpark, or Databricks.
- Familiarity with cloud computing platforms like Azure, AWS, or GCP, including services like Azure Data Factory, S3, Lambda, and BigQuery.
Others:
As a data science professional, you will have the opportunity to work on complex projects, collaborate with cross-functional teams, and contribute to the growth and development of the organization. If you are passionate about data science and want to make a meaningful impact, we encourage you to apply for this exciting opportunity.
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