Data Science is at the heart of Snapp’s products and decision-making. As a member of the Data Science team, you will work in a dynamic environment, where we embrace moving quickly to build the world's best transportation and many other services. Data Scientists take on a variety of problems ranging from shaping critical business decisions to building algorithms that power our internal and external products. We work closely with many teams of the company to improve their products and decisions.
About Role:
As a Data Scientist, Decisions, you will leverage data and rigorous, analytical thinking to shape the company's product and business decisions. You will identify and scope opportunities, shape priorities, recommend solutions, design experiments, and measure impact. You will bring a quantitative mindset to decision-making in partnership with product, business, and operations stakeholders throughout the organization.
Responsibility:
Create and develop predictive models using AI/ML technologies, installing/monitoring the production performance of models
Partner with business and other teams to understand business and integrate additional data required for creating a model.
Data feature engineering to collect and structure to enhance modeling/analytical framework.
Work closely with engineers to deploy models in production both in real-time and in batch process and systematically track model performance.
Be a subject matter expert on machine learning and predictive modeling.
Drive technical innovation through active research and applications of new theories, techniques, and technologies
Mentor junior data scientists and monitor project progress.
Communicate non-technical reports detailing project outcomes and insights
Advise on the application of data science insights in business strategies
Formulate and oversee data-driven projects to advance business objectives
Requirements:
Minimum Experience of 4.5 years as role of Data Scientist or similar
Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
Knowledge and experience of Python Libraries: Pandas, NumPy, SciPy, StatsModels, Scikit Learn, Seaborn, and Matplotlib.
Strong understanding of machine learning techniques and algorithms.
Knowledge and experience in deep learning and deep learning libraries such as TensorFlow, Keras, and Pytorch.
Advanced SQL knowledge and experience working with both relational and non-relational databases, query authoring as well as working familiarity with a variety of other databases and datasets.
Understanding the model build life-cycle, including feature selection and optimization, model selection and validation, and ongoing model maintenance.
Preferred Requirement
Knowledge and experience in image processing and NLP is a plus.
معرفی شرکت
اسنپ محصولی ایرانی است که از تیمی خلاق، جوان و تحصیلکرده قدرت میگیرد و در تلاش است تا صنعت فناوری اطلاعات و ارتباطات را به زندگی روزمره جامعه پیوند بزند.
اهداف بزرگی در سر داریم و بلند پروازیم. قصد داریم اسنپ را به بهترین راهکار برای سفرهای درونشهری ایران تبدیل کنیم و در این راه به کمک افراد خلاق، سختکوش و بلندپرواز احتیاج داریم. اگر چنین خصوصیاتی دارید خوشحال میشویم که رزومه خود را برایمان ارسال کنید.