Senior Data Scientist

2 days ago

Karachi, Sindh, Pakistan VinnCorp Full time

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VinnCorp is a digital transformation company that plans, designs, Builds and maintains digital solutions. VinnCorp provides top-notch, high-tech remote teams to businesses.

VinnCorp is a technology firm based in California, USA, that specializes in providing remote high-tech talent for accelerating business innovation. With 70+ satisfied customers around the globe, we are committed to delivering top-quality services and helping businesses achieve their goals.

About the role:

We are seeking a highly motivated and detail-oriented Data Scientist Expert to join our team and contribute to key data-driven initiatives that will shape the future of our recruiting processes. This role offers hands-on experience with impactful projects including the development of a compensation survey and the construction of a dynamic knowledge graph for our job placements.

Key Projects & Responsibilities:

  • Compensation Survey Project:
  • Extract, clean, and structure compensation data from various internal and external sources, including Built In (BH).
  • Perform statistical analyses to identify trends, generate benchmarks, and provide actionable compensation insights.
  • Job Knowledge Graph Project:
  • Build and maintain a knowledge graph using Neo4j to represent metadata associated with job roles, titles, skills, and industry relationships.
  • Integrate multiple data sources to ensure a scalable and searchable job knowledge base.
  • General Responsibilities:
  • Utilize tools such as Python, Jupyter Notebook, Neo4j, and survey platforms (e.g., SurveyMonkey, Qualtrics, or Typeform) for data processing, cleaning, and visualization.
  • Apply statistical and data science techniques to surface meaningful patterns and support business decisions.
  • Present findings through clear visualizations and reports.

Requirements:

  • Professional Experience:
  • Prior full-time experience in building and maintaining Knowledge Graphs using Neo4j is a must.
  • Strong foundation in data cleaning, transformation, and manipulation, particularly with large datasets.
  • Technical Skills:
  • Proficiency in Python and data analysis libraries (Pandas, NumPy, Matplotlib, etc.).
  • Experience with Jupyter Notebooks for exploratory data analysis.
  • Familiarity with survey tools and data collection methodologies.
  • Understanding of graph databases and data modeling concepts.
  • Soft Skills:
  • Strong analytical thinking and problem-solving abilities.
  • Excellent communication skills for reporting insights to both technical and non-technical audiences.
  • Ability to work independently and collaboratively in a fast-paced environment.

Other Details:

Mode: Hybrid

Timings: EST Time Zone

Experience: 5+ Years

Seniority level
  • Seniority levelMid-Senior level
Employment type
  • Employment typeFull-time
Job function
  • Job functionEngineering and Information Technology
  • IndustriesSoftware Development

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