Data Scientist

1 month ago

Chennai, India PROWESSTICS Full time

Key Responsibilities:


Lead end-to-end data science projects from problem definition to deployment, collaborating with cross-functional teams to identify opportunities and develop actionable insights.

Design and implement advanced machine learning algorithms and statistical models to solve complex business problems, such as predictive modeling, customer segmentation, and recommendation systems.

Utilize advanced analytical techniques to analyze large-scale datasets, including structured and unstructured data, to extract meaningful patterns and insights.

Develop and deploy scalable data pipelines and automation workflows to streamline data processing and model training.

Conduct thorough exploratory data analysis to identify key drivers and trends, and communicate findings to stakeholders through clear and compelling visualizations and presentations.

Stay current with the latest advancements in data science, machine learning, and AI technologies, and proactively identify opportunities to apply emerging techniques to improve existing processes and models.

Mentor and provide guidance to junior data scientists, fostering a culture of continuous learning and professional development within the team.

Collaborate with business stakeholders to understand their objectives and translate business requirements into actionable analytical solutions.


Qualifications:


5 to 8 years of experience in data science, machine learning, or a related field, with a proven track record of delivering impactful solutions in a business environment.

Proficiency in programming languages such as Python or R, and experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, scikit-learn).

Strong theoretical foundation in machine learning algorithms and statistical modeling techniques, with practical experience in applying them to real-world problems.

Experience working with big data technologies (e.g., Hadoop, Spark) and cloud computing platforms (e.g., AWS, Azure, GCP).

Excellent problem-solving skills and the ability to think creatively to develop innovative solutions to complex problems.

Strong communication and presentation skills, with the ability to effectively communicate technical concepts to non-technical stakeholders.

Proven leadership abilities, with experience leading cross-functional teams and mentoring junior team members.


Preferred Qualifications:


Experience with deep learning frameworks such as TensorFlow or PyTorch.

Knowledge of natural language processing (NLP) techniques and tools.

Experience with A/B testing methodologies and experimental design.

Familiarity with data visualization tools such as Tableau or Power BI.

Strong project management skills, with the ability to manage multiple priorities and deadlines effectively.

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