Sr Data Scientist

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Main

Purpose:

To design, implement, and deploy data science solutions in a production environment, focusing on advanced analytics, machine learning, and deep learning techniques. The role requires a proactive approach to research and development in areas such as computer vision, time-series anomaly detection, and process optimization, ensuring high-impact delivery in a fast-paced, agile work environment.

Job Accountabilities:

Lead the design and implementation of data science solutions in a production environment.
Drive research and development of solutions in computer vision, time-series anomaly detection, and process optimization.
Collaborate with cross-functional teams to develop and implement data science solutions.
Manage multiple projects independently in a fast-paced environment.
Conduct in-depth analysis to identify emerging trends and patterns, solving complex business problems.
Deploy machine learning models and data pipelines, ensuring scalability of solutions.
Perform exploratory data analysis and create interactive visualizations to support business decision-making.
Present research and analysis results to both technical and non-technical stakeholders.
Publish research findings in top-tier conferences and journals.
Collaborate with data scientists, engineers, and process owners to ensure quality and timely delivery of projects.
Stay up-to-date with the latest advancements in data science methodologies and tools.

Skills Required:

Strong background in advanced analytics, machine learning, and deep learning techniques.
Ability to lead the design and implementation of data science solutions.
Proficiency in deploying machine learning models and data pipelines.
Expertise in conducting exploratory data analysis and creating interactive visualizations.
Excellent communication skills for presenting research and analysis results.
Ability to manage multiple projects independently in a fast-paced environment.
Strong collaboration skills with cross-functional teams.
Commitment to staying updated with the latest advancements in data science.

Experience

Required:

5-8 years of expertise in developing and deploying data-intensive solutions.
Proven track record of delivering high-impact data science solutions in a fast-paced, agile work environment.

Preferred Educational

Qualification:

Master’s or PhD in Engineering, Computational Sciences, or related quantitative disciplines.

Interested candidates, kindly mail to