Data Scientist
صاحب العمل نشط
حالة تأهب وظيفة
سيتم تحديثك بأحدث تنبيهات الوظائف عبر البريد الإلكتروني
شارك هذه الوظيفة
حالة تأهب وظيفة
سيتم تحديثك بأحدث تنبيهات الوظائف عبر البريد الإلكتروني
الوصف الوظيفي
Data Scientist
Freelance Fulltime Remote GMT0/GMT4
SNEAK PEEK
Location: Remote GMT0/GMT4
Salary: between $5K $6.5K per month
Interview process: HR interview technical discussion takehome challenge final interview
Contact: For questions please reach out to:
WHO ARE WE
At Rounds we believe in harnessing the power of cuttingedge technology to drive business success. Our transformative machinelearning technology identifies and optimizes mobile assets while our team of experts with their unparalleled human capital and business acumen provides the strategic direction and support to turn mobile assets into profitable businesses. Together we are revolutionizing the mobile industry. You can find out more info about us and our values here:
THE ROLE
We are looking for an ambitious Data Scientist who is eager to embark on an exciting journey as the first official Data Scientist in our team. The role requires the optimization of a huge amount of previously untapped data resources providing you the opportunity to explore the latest and most innovative technologies tools and methodologies in collaboration with our team. Your contributions in this role are instrumental with potential to significantly impact areas such as acquisitions development finance etc. We highly value your handson approach not only in conducting cuttingedge research but also in translating those insights into practical productionready solutions.
Hiring manager: Yossi Wasserman VP of R&D Engineering
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RESPONSIBILITIES:
- Develop and implement statistical models machine learning algorithms and other advanced analytical techniques to extract insights from structured and unstructured data
- Perform exploratory data analysis to uncover patterns trends and actionable insights to guide product development and business strategy
- Build prediction systems and optimize models leveraging techniques like regression classification and clustering
- Design and run A/B tests user behavior analyses and other experiments to inform product decisions
- Communicate results and insights clearly to both technical and nontechnical stakeholders
- Stay uptodate on the latest data science and machine learning advancements and apply them as appropriate
NICE TO HAVE:
- Experience with Vertex AI or other ML ops platforms
Requirements :
WHAT ARE WE LOOKING FOR
- Bachelors Degree in Computer Science Statistics Mathematics or a related quantitative field (MSc or PhD would be nice to have)
- 3 years of experience building and deploying machine learning models in a production environment
- Proficiency with Python data science libraries (NumPy Pandas ScikitLearn) and experience with big data platforms (Spark Hadoop would be nice to have)
- Strong statistical modeling and machine learning skills (regression classification clustering neural networks)
- Ability to communicate complex analyses and results in a clear structured manner to nontechnical audiences
- Passion for translating data into product and business impact
HOW DO WE WORK
We are a distributed team of more than 60 people all working remotely and communicating partially synchronously (we usually overlap with our team for 4 hours daily and are free to work on some of the tasks whenever it suits us best). We value open communication proactivity and work/life balance and we measure our freelancers on performance rather than on the time spent on the job.
WHAT S IN IT FOR YOU
- Fully remote work model
- Flexible fulltime working hours
- Competitive pay in the range of $5K $6.5K based on skills and experience
- The opportunity to grow together with the company & take ownership from day 1
INTERESTED
Our recruitment process consists of the following steps:
- HR interview: 60 min.
- Technical discussion: 60 min.
- Paid takehome challenge: 1 day
- Final interview with the hiring manager and CTO: 30 min.
Get in touch at We d love to hear from you!
Remote Work :
Yes
Employment Type :
None
نوع التوظيف
