Interested candidates, kindly mail to [Confidential Information]
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 [HIDDEN TEXT]
