About the job
Way of working - Remote: Employees will have the freedom to work remotely all through the year. These employees, who form a large majority, will come together in their base location for a week, once every quarter.
Job Description
We seek enthusiastic individuals to join our Data Science team, focusing on multiple key areas like Fraud Detection, Location Intelligence and Catalog enrichments. This entry-level position offers an exciting opportunity for fresh graduates or those with less than one year of experience to kickstart their career in data science
As a Data Scientist - 1, you will play a crucial role in enhancing our systems through the application of advanced mathematics, machine learning, statistics, and operations research techniques.
Key Responsibilities:
1. Responsible for solving non-trivial, high-impact problems impacting consumer experience using machine/deep learning, data mining, statistical analysis, and related techniques
2: Showcase excellent problem-solving skills, and ability to deconstruct and formulate solutions from first-principles
3: Assist in collecting, cleaning, and preprocessing data for analysis and conduct exploratory data analysis to uncover insights and trends.
4: Develop and deploy machine learning models on large-scale datasets.
5: Collaborate with cross-functional teams to understand business requirements and translate them into actionable data science solutions.
6: Stay updated on the latest trends and advancements in data science and machine learning techniques.
Requirements
1. Bachelor's degree or higher in Applied Mathematics, Statistics, Computer Science, or a related field.
2. <1 years of hands-on experience in industry or research lab settings.
3. Strong expertise in machine learning algorithms and statistical methods.
4. Strong analytical and problem-solving skills.
5. Proficiency in Python.
7: Ability to learn quickly and adapt to new technologies and tools.
7. Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
8. Previous experience in deep learning and internships in startup or product-based consumer/internet companies is preferred.
If you are passionate about leveraging data to drive business insights and eager to learn and thrive in a dynamic environment, we encourage you to apply for this exciting opportunity.
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