- Design and implement scalable machine learning models and predictive analytics solutions to solve complex business and technical problems.
- Extract clean and preprocess large diverse datasets from multiple sources using SQL Python and data pipeline tools.
- Conduct exploratory data analysis (EDA) to identify trends patterns and anomalies and communicate findings to stakeholders through visualizations and reports.
- Develop and maintain data models algorithms and statistical frameworks using Python R or other relevant tools.
- Collaborate with software engineers to integrate models into production systems and ensure model performance scalability and reliability.
- Stay current with advancements in data science AI and machine learning and apply emerging techniques to enhance existing solutions.
- Participate in the full lifecycle of data science projectsfrom problem definition and hypothesis testing to model deployment and monitoring.
- Contribute to knowledge sharing through documentation internal workshops and peer reviews.
Requirements
- Bachelors or Masters degree in Computer Science Statistics Mathematics Physics Engineering or a related quantitative field.
- 25 years of hands-on experience in data science machine learning or a related technical role within a technology-driven environment.
- Proficiency in programming languages such as Python and SQL; experience with R is a plus.
- Strong understanding of machine learning frameworks (e.g. Scikit-learn TensorFlow PyTorch) and statistical modeling techniques.
- Experience with data visualization tools such as Tableau Power BI or Matplotlib/Seaborn.
- Familiarity with cloud platforms (AWS GCP or Azure) and big data technologies (e.g. Spark Hadoop) is highly desirable.
- Excellent problem-solving skills attention to detail and the ability to work independently and as part of a collaborative team.
- Strong communication skills with the ability to translate technical insights into business value for non-technical audiences.
- Experience in scientific computing simulation or data-driven R&D is a significant advantage
Required Skills:
Qualification: Bachelors Masters Degree Experience: Freshers/ Experienced Bachelors or Masters Degree in a relevant field Open to freshers as well as experienced professionals Strong communication and interpersonal skills Ability to adapt to changing priorities and work in a team-oriented environment Proficiency in standard office software and tools
Design and implement scalable machine learning models and predictive analytics solutions to solve complex business and technical problems.Extract clean and preprocess large diverse datasets from multiple sources using SQL Python and data pipeline tools.Conduct exploratory data analysis (EDA) to iden...
- Design and implement scalable machine learning models and predictive analytics solutions to solve complex business and technical problems.
- Extract clean and preprocess large diverse datasets from multiple sources using SQL Python and data pipeline tools.
- Conduct exploratory data analysis (EDA) to identify trends patterns and anomalies and communicate findings to stakeholders through visualizations and reports.
- Develop and maintain data models algorithms and statistical frameworks using Python R or other relevant tools.
- Collaborate with software engineers to integrate models into production systems and ensure model performance scalability and reliability.
- Stay current with advancements in data science AI and machine learning and apply emerging techniques to enhance existing solutions.
- Participate in the full lifecycle of data science projectsfrom problem definition and hypothesis testing to model deployment and monitoring.
- Contribute to knowledge sharing through documentation internal workshops and peer reviews.
Requirements
- Bachelors or Masters degree in Computer Science Statistics Mathematics Physics Engineering or a related quantitative field.
- 25 years of hands-on experience in data science machine learning or a related technical role within a technology-driven environment.
- Proficiency in programming languages such as Python and SQL; experience with R is a plus.
- Strong understanding of machine learning frameworks (e.g. Scikit-learn TensorFlow PyTorch) and statistical modeling techniques.
- Experience with data visualization tools such as Tableau Power BI or Matplotlib/Seaborn.
- Familiarity with cloud platforms (AWS GCP or Azure) and big data technologies (e.g. Spark Hadoop) is highly desirable.
- Excellent problem-solving skills attention to detail and the ability to work independently and as part of a collaborative team.
- Strong communication skills with the ability to translate technical insights into business value for non-technical audiences.
- Experience in scientific computing simulation or data-driven R&D is a significant advantage
Required Skills:
Qualification: Bachelors Masters Degree Experience: Freshers/ Experienced Bachelors or Masters Degree in a relevant field Open to freshers as well as experienced professionals Strong communication and interpersonal skills Ability to adapt to changing priorities and work in a team-oriented environment Proficiency in standard office software and tools
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