Moses Pvt Ltd

Moses Pvt Ltd

Software Industry

Kathmandu

Moses Pvt Ltd (“MOSES”) is a strategic partner with the international market research & growth consulting firm, Frost & Sullivan Pte. Ltd. Frost & Sullivan, the Growth Partnership Company, works in collaboration with clients to leverage visionary innovation that addresses the global challenges and related growth opportunities that will make or bre ... ak today's market participants. For more than 54 years, Frost has been developing growth strategies for the global 1000, emerging businesses, the public sector and the investment. For more information, please visit: http://www.frost.com Frost & Sullivan, the Growth Partnership Company, works in collaboration with clients to leverage visionary innovation that addresses the global challenges and related growth opportunities that will make or break today's market participants. Our ‘Growth Partnership’ supports clients by addressing these opportunities and incorporating two key elements driving visionary innovation: The Integrated Value Proposition and The Partnership Infrastructure. For more than 54 years, we have been developing growth strategies for the global 1000, emerging businesses, the public sector and the investment. 

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Senior Data Scientist

Apply Before : 2023-04-03 (Closed) View: 7400

Job summary

  • No. of Vacancy
    : 1
  • Job Type
    : Full Time
  • Offered Salary
    : Negotiable
  • Gender
    : Both
  • Career Level
    : Senior Level
  • Experience
    : 2 Years
  • Apply Before
    : 2023-04-03 Closed
  • Skills
    :
    Data Science

Job Description:

  • Understand the company’s data gathering needs from internal or external sources  
  • Develop methods for data collection and storage   
  • Develop and implement appropriate data cleaning methods.  
  • Develop and implement ETL methods as needed  
  • Develop and implement methods for data fusion from diverse sources
  • Identify valuable data sources and automate data collection processes
  • Preprocess structured and unstructured data
  • Analyze large amounts of data to uncover trends and patterns
  • Develop predictive models and machine-learning algorithms
  • Combine models through ensemble modeling
  • Present information using data visualization techniques
  • Propose business-related solutions and strategies.
  • Work with the engineering and product development teams to design new products.
  • Develop data models and AI/ML models to generate actionable intelligence from the data for the target outcome
  • Creating new frameworks to collect data
  • Building tools to automate data collection
  • Searching through large data sets for usable information
  • Creating reports and presentations for business uses
  • Correlating similar data to find actionable results
  • Transferring data into a new format to make it more appropriate for analysis
  • Collecting data through means such as analyzing business results
  • Conduct model training and evaluation. 
  • Understand company and our client’s challenges and integrate AI capabilities to help create solutions. 
  • Develop functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures. 
  • Document and articulate solution architecture. 
  • Convert machine learning models to application program interfaces (APIs) so that they can be used by other programs. 
  • Set up and manage AI development and product infrastructure and build data transformation infrastructure.  

Required Knowledge, Skills, and Abilities:

  • Dynamic, motivating, and entrepreneurial-minded with an internal drive to continuously hit goals and deadlines. Proactive mentality with curiosity and desire to learn. 
  • Exceptional organizational and project management skills, ability to manage multiple projects, ability to meet deadlines, and strong attention to detail 
  • Must be very comfortable with continuously changing opportunities and priorities 
  • Team player with the ability to work cross-functionally  

Education + Experience:

  • A bachelor’s degree in mathematics, statistics, computer science, or a business-related field; a minimum of 2 years of experience directly as a data scientist  

Benefits:

 

Apply Instruction:

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