- Formulate problems, conceptualize solutions, explore approaches, apply and develop algorithms for end to end solution deployment
- Break down complex business problems into multiple hypotheses which can be verified to build an analytical solution.
- Design and develop data preparation components and processes, extract and transform data for reporting and analytical problems.
- Produce timely and error-free code in an efficient manner, managing multiple tasks and varying project scopes
Job Specification
Minimum 1+ years experience working in machine learning, text processing, data science, information retrieval, deep learning, natural language processing, text mining, data dining, regression, classification, etc.
Must have a full-time degree in Computer Science or similar (Statistics/Mathematics)
Team player who can take responsibility for anything from fixing the office internet to making a sales pitch to CEO of a company. We believe in the ideology that “Buck stops with me”.
Hands-on experience applying advanced statistical learning techniques to different types of data.
Working with Python: Numpy, Scikit-learn, Matplotlib, Pandas
Working with OpenCV, TensorFlow and Keras
Ability to understand the business problem, identify the key challenges, formalize the problem algorithmically, and prototype solutions.
Consistent track record of documenting, synthesizing, and communicating results.
Ability to design, build and work with RESTful Web Services in JSON and XML formats. (Django and/or Flask preferred)
Familiarity with Version Control tools such as Git
Agile principles and processes including (but not limited to) standup meetings, sprints and retrospectives
Theoretical and practical knowledge of SQL / NoSQL databases with hands-on experience in at least one database system
Must be self-motivated, flexible, collaborative, with an eagerness to learn
Apply Instructions
If you are interested please email your CV to resume@archanalytics.ai (No need for a cover letter) Please mention the following in your email: Skype id: Current monthly salary (NPR): Expected monthly salary (NPR): Notice Period (months): Relevant experience as Data Scientist (years): Interview Process: 1st round- Skype Interview 2nd round- Coding test (assignment will be sent by us) 3rd round- Face to face interview at our office
This Job is expired. The Company is no longer accepting applications for this position.
