True Tech Professionals
Location
Pune | India
Job description
Description:
Data Scientist
Role and Responsibilities:
As a Data Scientist you will:
Leverage data to drive informed decisionmaking and solve complex business challenges.
Develop and deploy machine learning models and predictive models.
Clean manipulate and visualize data to extract actionable insights using tools such as Python and data visualization libraries.
Work with crossfunctional teams to interpret data and communicate findings contributing to strategic initiatives and improving business performance.
Demonstrate strong problemsolving skills tackling challenging data science problems and delivering actionable solutions.
Stay updated with the latest developments in data science and machine learning adapting to evolving technologies and methodologies.
Required Qualifications:
Formal Academic Background:
Bachelors Masters or Ph.D. degree in Computer Science Data Science Machine Learning or a related field.
Machine Learning Proficiency:
3 years of proven experience in creating and deploying machine learning models in production environments.
Indepth knowledge of machine learning algorithms and techniques with handson experience in realworld applications.
Familiarity with libraries like TensorFlow PyTorch or scikitlearn.
Proficiency in data visualization tools such as Matplotlib Seaborn Tableau.
SQL and Database Knowledge:
Strong SQL skills and experience with relational databases (e.g. PostgreSQL MySQL) and NoSQL databases (e.g. MongoDB).
Communication and Collaboration:
Excellent verbal and written communication skills to convey complex technical findings to nontechnical stakeholders.
Ability to work collaboratively in interdisciplinary teams.
Continuous Learning and Adaptation:
Commitment to staying updated with the latest developments in data science and machine learning.
Preferred Qualifications:
Experience with cloud platforms (e.g. AWS Azure Google Cloud) and containerization technologies (e.g. Docker Kubernetes).
Familiarity with DevOps practices and continuous integration/continuous deployment (CI/CD) pipelines.
Knowledge of ethical and responsible AI practices including bias mitigation and fairness.
data science,tensorflow,pytorch,tableau,sql,cloud,machine learning
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