Data Scientist at Ciston Technologies Limited

Data Scientist at Ciston Technologies Limited

Jobs

Ciston Technologies Limited – We combine smart technology and powerful integrationsinto one turnkey solutionthat enables organizations to improve the efficiency and security of workplace data collection and management– our smart solutions streamline and automate processes that mitigate risk and optimize operations.

We are constantlyanalyzing trends and anticipating market needsin orderto deliver amore-encompassingsuite of services that are in line with what our clients need to manage their day-to-day operations.

We are recruiting to fill the position below:

Job Title: Data Scientist (Independent Contractor)

Location: Abuja (FCT)
Employment Type: Contract

Job Description

  • The Data Scientist is responsible for analyzing and turning large amounts of raw data into valuable insights that an organization needs in order to find patterns that will help improve a project and yield overall growth for the company. In this role, you should be highly analytical with a knack for analysis, math and statistics.
  • Critical thinking and problem-solving skills combined with a passion for machine-learning and research are essential for interpreting data.

Responsibilities

  • Identify valuable data sources and automate collection processes
  • Use strong business acumen, as well as an ability to communicate fundings, and mine vast amounts of data for useful insights
  • Undertake data collection, pre/processing analysis of structured and unstructured available datasets to discover trends and patterns
  • Analyze large amounts of information to discover trends and patterns to be used to influence how an organization approaches business challenges
  • Build predictive models and machine-learning algorithms and create presentations using data visualization techniques
  • Work closely with your business to identify issues and use data to propose solutions for effective decision making
  • Conduct research from which you’ll develop prototypes and proof of concepts
  • Look for opportunities to use insights/datasets/code/models across other functions in the organisation (for example in the HR and marketing departments)
  • Communicate important information, recommendations and insights to business and IT leaders
  • Have a combined knowledge and experience of computer science, applications modeling, statistics, analytics and math to solve problems and provide solutions
  • 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
  • Test data mining models to select the most appropriate ones for use on a project
  • Maintain clear and coherent communication, both verbal and written, to understand data needs and report results
  • Create clear reports that tell compelling stories about how customers or clients work with the business
  • Assess the effectiveness of data sources and data-gathering techniques and improve data collection methods

Requirements and Skills

  • BSc / BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred
  • 3+ years experience as a Data Scientist or Data Analyst
  • Experience in data mining
  • Monte Carlo Simulation knowledge
  • Strong math skills (e.g. statistics, algebra)
  • Problem-solving aptitude and analytical mind
  • Excellent communication and presentation skills
  • Experience with political campaign
  • Understanding of machine-learning and operations research
  • Knowledge of R, SQL and Python (humpy, pandas,keras, sci-kite learn, spark); familiarity with Scala, Java or C++ is an asset
  • Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)

How to Apply
Interested and qualified candidates should send their CV to: [email protected] using the job title as the subject of the mail

Application Deadline  1st February, 2023.

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