NextHire
Nexthire is a technology driven recruitment platform that enables companies to hire 2x faster with its advanced algorithms based on years of data.The leadership team has several decades of collective experience working for top product development companies in India. We believe in breaking the conventional ideas that have been rooted in the staffing industry. We provide end to end recruitment solutions and are developing amazing tools that will help shape the future of recruitment industry.Trusted by 100+ brands, MNCs and startups alike, we are creating a hiring experience like never before.
Hiring • Recruitment
11 - 50 employees
Data Scientist - Machine Learning
August 24, 2024
NextHire
Nexthire is a technology driven recruitment platform that enables companies to hire 2x faster with its advanced algorithms based on years of data.The leadership team has several decades of collective experience working for top product development companies in India. We believe in breaking the conventional ideas that have been rooted in the staffing industry. We provide end to end recruitment solutions and are developing amazing tools that will help shape the future of recruitment industry.Trusted by 100+ brands, MNCs and startups alike, we are creating a hiring experience like never before.
Hiring • Recruitment
11 - 50 employees
📋 Description
• Utilize Dataiku to automate data preparation, pipeline development, statistical analysis, and model creation. • Work with longitudinal/transactional patient-level data (APLD) to derive actionable insights within the pharmaceutical domain. • Develop predictive models, perform statistical analysis, and create machine learning algorithms to solve business problems. • Work closely with business analysts, data engineers, and other stakeholders to understand requirements and deliver data-driven solutions. • Present findings and insights to stakeholders using data visualization tools and platforms. Create comprehensive reports that effectively communicate analysis results.
🎯 Requirements
• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. • 4-5 years of experience in Data Science, with a strong focus on machine learning, statistical analysis, and data engineering. • Proficiency in Dataiku, including hands-on experience in building data pipelines, automating workflows, and developing machine learning models. • Strong understanding of longitudinal/transactional patient-level data (APLD) within the pharmaceutical industry. • Experience with programming languages such as Python, R, or SQL. • Familiarity with data visualization tools (e.g., Tableau, Power BI) and big data technologies. • Prior experience in life sciences services companies (e.g., GE Healthcare, IQVIA, WNS, Accenture, Indegene, etc.) with exposure to patient-level data. • Strong analytical, problem-solving, and communication skills. • Ability to work independently and as part of a team in a hybrid work environment.
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