دانشمند ارشد داده

تپسي

تهران

منتشر شده 4 ماه پیش

Job Description

As a senior data scientist, you will work on real-life challenging questions that impact many people's lives in Iran. You will face some of the most fascinating and impactful problems that need a deep understanding of algorithms, machine learning, data mining, and statistics. Every day, you will be presented with a variety of new challenges and interesting projects that tap into your interests and strengths. We work closely with each other, software developers from other teams, product managers, and business stakeholders. Data scientists in our team participate in the full life cycle of model development, which spans from business problem discovery to model deployment and monitoring. Responsibilities: ● Work with business stakeholders to understand the business requirements and the data available to solve the corresponding problems. ● Conduct advanced statistical and exploratory data analysis which will also include wrangling, cleaning, and pre-processing data. ● Develop statistical and machine learning models to solve business problems and derive actionable business insights. ● Evaluate models and algorithmic techniques. ● Scale the algorithms to large data set and help to deploy models. ● Derive metrics for model performance monitoring and conduct continuous model performance monitoring. ● Research new techniques and best practices within the industry. ● Coach junior team members and share knowledge with the broader team. ● Work with cross-functional partners across the business.

Requirements

● Over 3 years of working experience in the field of data science. ● Bachelor's degree in EE, CE, CS, or having related equivalent experience. ● Having a deep knowledge of machine learning, statistics, and data mining. ● Having a deep knowledge of algorithms and data structure. ● Having programming experience with python. ● Having experience in driving data projects end-to-end. ● Having excellent communication skills with the ability to talk to and present to a range of audiences.

Employment Type

  • Full Time

Seniority

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