Rabbit and Tortoise Technology Solutions

Data Scientist - Python/SQL

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Job Location

in, India

Job Description

Responsibilities : - Design, develop, and implement data pipelines for efficient data acquisition, cleaning, and transformation. - Conduct exploratory data analysis (EDA) to understand data distributions, identify patterns, and uncover potential insights. - Develop and apply machine learning models for tasks like customer segmentation, churn prediction, lead scoring, or other relevant applications. - Evaluate model performance and iterate to improve accuracy and effectiveness. - Communicate complex data findings to stakeholders through clear and concise visualizations and reports. - Collaborate with cross-functional teams (engineering, product, marketing) to translate insights into actionable business strategies. - Stay up-to-date with the latest trends and advancements in data science and machine learning. Mandatory Skills : - 3 years of experience as a Data Scientist or a related field. - Proven experience in designing and implementing data pipelines. - Proficiency in Python for data analysis, manipulation, and machine learning. - Strong understanding of SQL for querying and manipulating data from relational databases. - Excellent data management skills, including data cleaning, wrangling, and transformation. - Experience working with accounting software (e.h., QuickBooks, Xero, Tally, ERP) is a plus. - Experience with machine learning libraries (Scikit-learn, TensorFlow, PyTorch) is a plus. - Excellent communication skills, both written and verbal, to effectively present findings to non-technical audiences. - Strong problem-solving and analytical skills with a data-driven approach. Bonus Points : - Experience in cloud platforms (AWS, GCP, Azure) for data analytics. - Experience with data visualization tools (Tableau, Power BI). - Familiarity with big data technologies (Hadoop, Spark) (ref:hirist.tech)

Location: in, IN

Posted Date: 11/23/2024
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Rabbit and Tortoise Technology Solutions

Posted

November 23, 2024
UID: 4939518250

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