Overview
14th FLOOR, CARNIVAL TECHNOPARK, TECHNOPARK CAMPUS, KARIYAVATTOM P.O., TRIVANDRUM , 695581
Worked 5 years+ in Data Science and Machine learning on any cloud platform (AWS, Oracle, Google, Azure) in any industry.
As a Data Science and Machine Learning Expert, you will play a crucial role in driving the strategic use of data and advanced analytics to solve complex business problems. Leveraging your extensive experience in data science and machine learning, you will lead a team of data scientists and collaborate with cross-functional teams to develop innovative solutions that contribute to business success.
1. **Leadership and Strategy:**
2. **Data Analysis and Modelling:**
5. **Data Governance and Quality:**
6. **Continuous Improvement:**
**Note:** The above job description is a general outline of the duties and responsibilities associated with the designated role. It is not exhaustive and additional duties may be assigned.
Working Location- Technopark Phase-1, Trivandrum office
Data Science and Machine learning on any cloud platform (AWS, Oracle, Google, Azure) in any industry.
Requirements
▸Provide strategic direction for the organization's data science and machine learning initiatives.
▸Collaborate with senior management to align data science goals with overall business objectives.
▸Mentor and lead a team of data scientists, fostering a culture of innovation and continuous improvement.
▸Conduct in-depth analysis of large and complex datasets to extract valuable insights.
▸Develop and deploy advanced machine learning models for predictive and prescriptive analytics.
▸Utilize statistical methods to validate models and ensure their reliability and accuracy.
▸Design and implement cutting-edge machine learning algorithms to address business challenges.
▸Stay current with industry trends and emerging technologies, incorporating them into the development process.
▸Collaborate with cross-functional teams, including software engineers, business analysts, and domain experts, to integrate machine learning models into operational systems.
▸Communicate complex technical concepts to non-technical stakeholders, fostering understanding and support for data-driven decision-making.
▸Ensure the integrity and quality of data used in machine learning models.
▸Implement and enforce data governance best practices to maintain a high standard of data quality and security.
▸Stay abreast of advancements in data science and machine learning, incorporating new techniques and technologies into existing processes.
▸Drive the adoption of best practices and methodologies within the data science team.
▸Advanced degree in a relevant field (e.g., Computer Science, Statistics, Mathematics).
▸Proven experience in data science, machine learning, and statistical modeling.
▸Strong programming skills in languages such as Python, R, or Java.
▸Extensive experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn).
▸Solid understanding of data engineering principles and data preprocessing techniques.
▸Excellent problem-solving and critical-thinking skills.
▸Strong leadership and communication skills.
▸Work across cloud platforms, machine learning tools and generative AI tools.
▸Ability to learn the Financial services business and interact with Business heads.
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