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Senior Data Scientist at CREDIT DIRECT LIMITED

  • Full Time
  • Onsite
  • Permanent
  • Lagos


Senior Data Scientist

Job Summary

The role of a Senior Data Engineer is critical in designing, developing, and maintaining robust data infrastructure and systems that enable efficient and accurate data processing, storage, and retrieval. Senior Data Engineers play a pivotal role in ensuring the availability, integrity, and security of data to support data-driven decision-making and enable advanced analytics and machine learning initiatives.

Job Responsibilities

  • Support leadership with research on key business initiatives and challenges.
  • Perform analyses on large sets of data to extract actionable insights that will drive decisions, with a particular focus on our marketing and sales strategy. Engineer novel data sets and features that shed new light on the dynamics of consumer choices.
  • Define success measures and build tools that predict and track the performance of strategic projects.
  • Communicate data-driven insights and recommendations to non-technical audiences, through clear visualizations and presentations.

Job Requirement

  • Degree in Computer Science/Engineering, Mathematics, Statistics, Economics, or another quantitative field; an advanced degree is desirable.
  • (4+ years) of relevant experience analyzing complex data with SQL, Python, and/or R.
  • Modeling, algebra, and statistical knowledge are strong preferences. Feature engineering for machine learning models is a real plus.


  • Experience with visualizations and dashboarding (e.g., Power BI or similar BI software) is a strong preference.
  • Experience creating and scheduling datasets is highly valued. Knowledge of Azure, GCP, and Airflow is a plus.
  • Strong understanding of data transformation tools such as DBT is a plus.
  • Good understanding of Tensorflow and Apache Kafka
  • Sound understanding of Microsoft SQL Server Integration Services and SQL Server Analysis Services

Required Knowledge, Skills & Competencies:

  • Proficient in statistical analysis, data mining, and machine learning techniques.
  • Experience with exploratory data analysis, feature engineering, and dimensionality reduction.
  • Expertise in developing and implementing advanced predictive models and algorithms.
  • Proficiency in statistical analysis techniques, hypothesis testing, and experimental design.
  • Knowledge of A/B testing methodologies and experience with experimental data analysis.
  • Understanding of the industry or domain in which the data scientist operates.
  • Familiarity with specific business problems, metrics, and challenges relevant to the organization

Person Specification

  • Effective verbal and written communication skills to present complex data findings in a clear and concise manner.
  • Strong interpersonal skills and the ability to work collaboratively in cross-functional teams.
  • Willingness to share knowledge, support colleagues, and contribute to a positive team environment.
  • Commitment to maintaining data confidentiality, integrity, and ethical standards.
  • Professionalism, reliability, and the ability to handle sensitive or confidential information with discretion.

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Senior Data Scientist at CREDIT DIRECT LIMITED
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