- Job Title: Lead Data Scientist
- Salary: Not DisclosedÂ
- Location: GurugramÂ
- Company: Cars24Â
- Qualifications: Other Graduate
- Experience: 5Â –Â 9Â years
ABOUT CARS24
Cars24 is a web platform that simplifies the technique of buying and promoting used vehicles. Founded in 2015 in India, it gives a transparent, green, and trouble-free enjoyment for each seller andd shopper Through its digital platform, Cars24 allows users to promote their motors in just a few simple steps, ensuring a fast assessment and quick payment. The employer uses technology to offer actual-time valuations and inspections, streamlining the process.
On the buying side, Cars24 provides a wide selection of licensed used cars, providing warranties, and making sure of exceptional standards. The business enterprise has extended its operations internationally, with a presence in international locations together with Australia and the UAE. With a strong recognition of purchaser delight, Cars24 has disrupted the traditionally used automobile market by presenting comfort, transparency, and belief to hundreds of thousands of customers.
Job Overview:
A Lead Data Scientist performs an essential function in leveraging facts to resolve complex enterprise issues, create predictive models, and deliver actionable insights. This function requires a unique mixture of technical understanding, management potential, and strategic thinking. The individual in this function is responsible for overseeing facts science groups, guiding statistics-pushed decision-making, and ensuring the excellent performance of device studying fashions and analyses. Below is an outline of the typical duties and qualifications for this position.
Key Responsibilities Of a Lead Data Scientist:
Leadership and Team Management:
- Lead and mentor a crew of statistics scientists and analysts, making sure they have the essential sources and help for his or her projects.
- Foster a collaborative and revolutionary environment in which crew individuals can grow and excel.
- Coordinate and manage data science projects, making sure deadlines are met and desires are finished.
Data Strategy and Insight Generation:
- Collaborate with business leaders and stakeholders to recognize their needs and align statistics technological know-how projects with enterprise dreams.
- Drive the advent and execution of data techniques to find developments, patterns, and insights that tell vital enterprise selections.
- Lead the development of data pipelines, algorithms, and fashions that assist key business goals.
Machine Learning and Modeling:
- Design, implement, and optimize systems getting to know models and algorithms that help diverse enterprise use instances, consisting of predictive modeling, category, and anomaly detection.
- Evaluate the performance of models, best-tuning and enhancing them as essential.
- Work with large datasets to use superior statistical methods, leveraging supervised and unsupervised mastering strategies.
Data Infrastructure and Tools:
- Oversee the layout and implementation of strong statistics infrastructures to ensure green and scalable processing of information.
- Choose and put into effect the right technology, frameworks, and gear for analyzing information and constructing machine learning fashions.
- Ensure records pipelines and approaches adhere to exceptional practices for statistics governance, protection, and compliance.
Collaboration and Communication:
- Act as a liaison between information science groups, IT departments, and business devices, ensuring seamless conversation and alignment of desires.
- Present complicated information findings and model results to non-technical stakeholders in a clean and actionable manner.
- Write reports and deliver shows that communicate the commercial enterprise impact of facts and technological know-how projects.
Qualifications:
Educational Background:
- A Master’s or Ph.D. In Computer Science, Data Science, Statistics, Mathematics, or an associated subject.
Experience:
- At least five years of enjoy in statistics technological know-how or a related area, with a song record of handling and main statistics science teams.
- Extensive hands-on experience with devices getting to know algorithms, statistics visualization, and advanced statistical strategies.
- Proficiency in programming languages which includes Python, R, or Java, along with frameworks like TensorFlow, PyTorch, or scikit-learn.
Skills:
- Strong information in database control and facts engineering practices, along with enjoying SQL, NoSQL, and huge facts technology like Hadoop and Spark.
- Excellent trouble-solving talents with the potential to think significantly and make statistics-pushed decisions.
- Strong communique and presentation abilities, with the potential to articulate complicated ideas to non-technical audiences.
- Certifications (non-compulsory however useful):
- Relevant certifications, inclusive of Google’s Data Engineering certification or AWS Certified Data Analytics, may be delivered.
Conclusion:
A Lead Data Scientist is a fundamental rt of any records-driven organization, combining technical expertise with management and strategic imaginative and prescient. This role is important for building scalable data models, main modern projects, and driving business increase through facts insights and predictive analytics.
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