Map’s Data Scientist is a person who enables the team to empower their products with the tremendous power of data. You will struggle with lots of open source projects and contribute back when you can. In addition, you work closely with our engineers to ensure system consistency and improve the user experience. In a nutshell, You'll extract, analyze and interpret large amounts of data from a range of sources, using algorithmic, data mining, artificial intelligence, machine learning, and statistical tools, in order to make it accessible to the team. We are looking for the type of person who feels uncomfortable when a day goes by without achieving something impactful. Someone who is driven to get things done and views obstacles as an exciting challenge that demands a creative solution.
Responsibilities
Work closely with the team to identify issues and use data to propose solutions for effective decision making
Build algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to colleagues, customers or the wider organization
Use machine learning tools and statistical techniques to produce solutions to problems
Assess the effectiveness of data sources and data-gathering techniques and improve data collection methods
Look for opportunities to use insights/datasets/code/models across other functions in the team
Establish new systems and processes and look for opportunities to improve the flow of data
Share your knowledge by giving brown bags, tech talks, and evangelizing appropriate tech and engineering best practices
Can help lead large projects from idea to positive execution
Requirements
Mandatory Qualifications
Master’s degree in Computer Science/Data Science or relevant field
Must have 2+ years of data science industry experience
Teamwork skills with a problem-solving attitude
Effective communication skill with a positive attitude
Strong understanding of data mining concepts
Experience in some of the programming languages such as Python, Java, Scala or R
Experience using data frameworks (e.g. Hadoop)
Understand the model build life-cycle, including feature selection and optimization, model selection and validation, and ongoing model maintenance
Strong math skills (e.g. statistics)
Proficiency in Linux and bash scripting
Ability to work as a team player
Preferred Qualifications (optional)
Proficiency in software engineering topics
Exposure to some or all of these technologies: ELK Stack, Docker, and Openshift
Familiarity with map, location and navigation concepts
Familiarity with OpenStreetMap
Familiarity with routing engines
Proficiency in algorithms
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.