About the Role:

As a Senior Data Scientist, you will play a pivotal role in shaping our analytic pipeline. Dive into diverse datasets, employing ML/DL algorithms, and collaborate with our skilled team of professionals. Your expertise in Python, coupled with a data-oriented mindset, will contribute to predictive insights and innovative solutions.

Primary Responsibilities:

• Design, implement, and deploy ML/DL algorithms

• Apply quantitative analysis to unveil user interactions with growth products

• Automate data collection and pre-processing for structured and unstructured data

• Analyze extensive datasets, revealing trends and patterns

• Utilize data mining techniques, conduct statistical analysis, and construct high-quality

prediction models

• Collaborate cross-functionally with product, engineering, and UX/UI teams for

informative analytical interfaces

Basic Requirements:

• 5+ years of proven Data Scientist experience, ideally in B2C/B2B2C SaaS products

• Python expertise is a must!

• Profound understanding of machine learning techniques and algorithms

• Experience with Pandas, Scikit-learn, Tensorflow, FeatureTools, and more

• Applied statistics skills, including distributions and statistical testing

• Proficiency in query languages such as SQL, Hive, Pig

• Data-oriented personality, analytical mindset, and problem-solving aptitude

• Strong team player with excellent communication skills

• Academic degree in Computer Science, Engineering, Mathematics, Statistics, or relevant

field

• Fluent in English, both written and verbal

Join our passionate team at Curve Tech, where you'll work on cutting-edge data projects and contribute to the advancement of ML-driven solutions. If you're a self-motivated individual with a strong background in data analytics, we'd love to hear from you. To apply, please submit your resume and a cover letter outlining your relevant experience and explaining why you're excited about joining Curve Tech's data team. Be part of the data revolution!

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