Data Scientist

1 month ago

BangalorePuneMysoreCochinKochi, India Aristo Digitech LLP Full time

Tasks and responsibilities :

- As a Senior Data Scientist, you will be responsible for designing and implementing advanced analytical solutions, building machine learning models, and collaborating with cross-functional teams to solve business challenges.

- Lead the end-to-end process of extracting, cleaning, and analyzing large, complex datasets to generate actionable insights.

- Design and implement advanced machine learning algorithms and statistical models to address business challenges.

- Utilize data profiling techniques to evaluate the quality dimensions of datasets.

- Integrate quality checks to preprocess data, ensuring it meets quality requirements.

- Perform comprehensive exploratory data analysis to enhance understanding of datasets.

- Collaborate with cross-functional teams, including engineers, product managers, and business stakeholders, to understand requirements and deliver innovative data-driven solutions.

- Stay abreast of the latest developments in data science, machine learning, and emerging technologies to continuously improve our analytical capabilities.

- Effectively communicate findings and insights to both technical and non-technical stakeholders through clear and compelling visualizations and reports.

- Take ownership of projects from conception to completion, ensuring high-quality deliverables and meeting deadlines

Qualifications :

- Master's or Ph.D. in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline. || degree or equivalent degree in Engineering

- years of proven experience in data science, machine learning, and statistical modeling, with a track record of delivering impactful business solutions.

- Proficiency in programming languages such as Python or R, and experience with relevant libraries and frameworks.

- Strong expertise in machine learning techniques, including but not limited to classification, regression, clustering, and deep learning.

- Experience with big data technologies and tools, such as Spark.

- Experience with Azure resource like Azure Synapse, Azure Data Factory is good to have

- Excellent problem-solving skills and the ability to translate complex analytical concepts into actionable business insights.

- Strong communication and collaboration skills, with the ability to explain complex technical concepts to a non-technical audience.

(ref:hirist.tech)

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