Data Science expert

Addis Abeba Full Time Negotiable 65 days ago 121
 

About Us:

Ashewa Technology Solutions is a leading provider of innovative AI-powered solutions that help African businesses thrive in the digital age. Our mission is to transform African business through cutting-edge technology, and our vision is to be the leading provider of digital solutions by 2030. Our core values of excellence, teamwork, agility, integrity, and customer-centricity guide us in delivering high-quality solutions tailored to our clients' unique needs.


Job Summary:

As a Data Scientist at Ashewa Technology Solutions S.C., you will play a crucial role in driving data-driven decision-making and innovation. You will leverage your expertise in data analysis, machine learning, and statistical modeling to extract valuable insights from large datasets and develop predictive models.


Key Responsibilities:


●    Data Analysis:

  • Collect, clean, and prepare data for analysis.
  • Explore and analyze data to identify patterns, trends, and anomalies.
  • Utilize statistical techniques and data visualization tools to communicate findings effectively.


●    Machine Learning:

  • Develop and deploy machine learning models to solve complex problems.
  • Select appropriate algorithms and techniques based on problem requirements.
  • Evaluate model performance and make necessary adjustments.


●    Predictive Modeling:

  • Build predictive models to forecast future trends and outcomes.
  • Validate and refine models using appropriate evaluation metrics.


●    Data-Driven Insights:

  • Translate data insights into actionable recommendations for business improvement.
  • Collaborate with stakeholders to communicate findings and drive decision-making.


●    Technical Expertise:

  • Stay up-to-date with the latest advancements in data science and machine learning.
  • Provide technical guidance and support to team members.


Qualifications:

  • Master's degree or PhD in Computer Science, Data Science, Statistics, or a related field.
  • Strong programming skills in Python or R.
  • Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Knowledge of data mining techniques and data visualization tools.
  • Understanding of statistical concepts, including hypothesis testing, regression analysis, and time series analysis.
  • Excellent problem-solving and analytical skills.
  • Ability to work independently and as part of a team.
  • Strong communication and interpersonal skills.


Preferred Qualifications:

  • Experience with big data technologies (e.g., Hadoop, Spark).
  • Knowledge of cloud platforms (e.g., AWS, Azure, GCP).
  • Experience with natural language processing or computer vision applications.
  • Experience with AI ethics and responsible data practices.


Benefits:

  • Competitive salary and benefits package.
  • Collaborative and supportive work environment.
  • Opportunities for professional growth and development.
  • Performance-based bonuses and incentives with equity options.
  • A dynamic work environment that values creativity and innovation.

 

If you are a passionate and skilled data scientist looking to make a meaningful impact, we encourage you to apply at hr@ashewa.com

Apply for the Job:

Send your CV and related credentials through:

Job Summery

Published On: 17 Nov, 2024

Job Type: Full Time

Employment Type: Permanent

Salary: Negotiable

Experience: Senior Level year & above

Location: Addis Abeba

DeadLine: 17 Dec, 2024

This job has been expired!

About US

Ashewa Technology Solutions S.C/ATS S.C/ owns and operates Ashewa.com. The platform's major mission is to HELP SMEs/SMALL BUSINESS and to make shopping EASY, affordable, and reliable by connecting customers directly with manufacturers without the use of unnecessary middlemen. Read More...

Disclaimer:

Ashewa Technology's policy is to provide equal employment opportunities to all applicants and employees without regard to:

  • Race
  • Color
  • Religion
  • Creed
  • Gender
  • Gender identity or expression
  • Age
  • National origin or ancestry
  • Citizenship
  • Disability
  • Sexual orientation, marital status
  • Veteran status
  • Membership in the uniformed services
  • Genetic information, or any other basis protected by applicable law.

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