Job Overview
Company
Aiprus Software Private Limited
Category
Mathematical Science Occupations
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Job Description
<p><p><b>About the Role : </b><br/><br/></p><p>We are seeking a highly skilled and experienced Senior Data Scientist to join our dynamic team in Bangalore.
The ideal candidate will have a strong background in statistical analysis, machine learning, and data-driven decision-making.
You will work closely with cross-functional teams to uncover insights, build predictive models, and drive strategic initiatives.<br/><br/><b>Key Responsibilities : </b><br/><br/></p><p>- Design, develop, and deploy machine learning models and data pipelines.<br/><br/></p><p>- Analyze large datasets to extract actionable insights and support business decisions.<br/><br/></p><p>- Collaborate with engineering, product, and business teams to define data requirements and deliver impactful solutions.<br/><br/></p><p>- Conduct A/B testing and experiments to validate hypotheses and optimize performance.<br/><br/></p><p>- Communicate findings through visualizations, dashboards, and presentations.<br/><br/></p><p>- Stay updated with the latest trends and technologies in data science and AI.<br/><br/><b>Required Qualifications :</b></p><p><p><b><br/></b></p>- Bachelors or masters degree in computer science, Statistics, Mathematics, or a related field.<br/><br/></p><p>- 5+ years of hands-on experience in data science, machine learning, or analytics.<br/><br/></p><p>- Proficiency in Python, R, SQL, and data visualization tools (e.g., Tableau, Power BI).<br/><br/></p><p>- Experience with ML frameworks like Scikit-learn, TensorFlow, PyTorch.<br/><br/></p><p>- Strong understanding of statistical methods, data modeling, and algorithm development.<br/><br/></p><p>- Excellent problem-solving skills and attention to detail.<br/><br/></p><p>- Strong communication and stakeholder management skills.<br/><br/><b>Preferred Qualifications : </b><br/><br/></p><p>- Experience in cloud platforms (AWS, Azure, GCP).<br/><br/></p><p>- Exposure to big data technologies (Spark, Hadoop).<br/></p><br/></p> (ref:hirist.tech)
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