Senior Data Scientist

1 month ago


Ahmedabad, Gujarat, India Cygnet Infotech Full time
Job Title: Senior Data Scientist

Job Summary:

We are seeking a highly skilled Senior Data Scientist to join our team at Cygnet Infotech. As a key member of our data science team, you will be responsible for designing, developing, and maintaining data pipelines and back-end services for real-time decisions, reporting, optimization, data collection, and related functions.

Key Responsibilities:

  • Design and develop data pipelines and back-end services for real-time decisions, reporting, optimization, data collection, and related functions.
  • Manage automated unit and integration test suites to ensure high-quality code.
  • Collaborate with data scientists to optimize and reengineer model code to be modular, efficient, and scalable.
  • Build visualizations to help derive meaningful insights from data.
  • Develop and implement solutions for data quality validation and continuous improvement.
  • Partner with data scientists, PMs, engineers, and business stakeholders to understand business and technical requirements, plan and execute projects, and communicate status, risks, and issues.
  • Perform root cause analysis of system and data issues and develop solutions as required.
  • Apply statistical and machine learning techniques to problems like text feedback analysis, customer/user segmentation/classification to understand usage trends and drivers of satisfactions.
  • Design experiments, analyze results, and produce actionable, trustworthy conclusions from them.
  • Present findings and recommendations to key decision-makers at various management levels.
  • Leverage data science and machine learning to experiment with and establish new ways of driving customer engagement by leveraging data – ultimately resulting in usage and satisfaction growth.
  • Build data manipulation, processing, and data visualization tools and share these tools across the team using Microsoft Technologies.
  • Leverage statistical and computational knowledge to build algorithms for calculating variances.
  • Apply data analysis, data mining, and data engineering to present data clearly and develop experiments (A/B testing).
  • Ensure high-quality data and understand how data is generated out experimental design and how these experiments can produce actionable, trustworthy conclusions.
  • Work with development teams to build tools for data logging and repeatable data tasks that will accelerate and automate data scientist duties.

Requirements:

  • 5+ years of experience in data science, machine learning, or a related field.
  • Strong background in statistical and machine learning techniques.
  • Experience with data pipelines, back-end services, and data visualization tools.
  • Excellent communication and collaboration skills.
  • Ability to work in a fast-paced environment and adapt to changing requirements.

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