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Data Scientist

1 month ago

Bengaluru, Karnataka, India MResult Full time
About MResult

MResult is a leading provider of data and analytics intelligence technology solutions to companies that value insights from information as a competitive advantage. We are the trusted partner of choice for enterprises on their digital transformation journey, offering solutions and services at the intersection of advanced data, analytics, and AI.

Our teams provide expertise in data and analytics CoE roadmap and buildout, real-time data insights, and advisory services. We help companies monetize their data assets and generate real-time actionable insights that drive growth and optimize business operations.

MResult was founded in 2004 and is headquartered in Connecticut with offices worldwide. We are trusted by several Fortune 500 companies and start-ups to design, architect, build, and manage solutions that enable critical decision making.

Our team is looking for a skilled professional to join our team and contribute to our mission of delivering world-class solutions that meet organizational needs.

Key Responsibilities
  • Develop and implement data-driven solutions using Python and distributed computing frameworks
  • Collaborate with cross-functional teams to design and architect solutions
  • Work with machine learning algorithms and models to drive business insights
  • Communicate technical knowledge to non-technical stakeholders
  • Stay up-to-date with industry trends and best practices in data science and analytics
Requirements
  • Strong Python skills and experience with distributed computing frameworks
  • Strong problem-solving skills and ability to work in a collaborative environment
  • Experience with machine learning algorithms and models, including recommender systems and deep learning
  • Ability to articulate model performance to non-technical stakeholders
  • Familiarity with MLOps frameworks and their use in model tracking and deployment
Preferred Qualifications
  • History of deploying ML models and experience with time-wise tracking of model performance
  • Familiarity with data-science-enabling tools such as Dataiku or Sagemaker