Data Scientist
AFCONRECRUIT LTD
Victoria Island, ng
6d ago

Job Description

We are looking for a Data Scientist who will support our product, sales, leadership and marketing teams with insights gained from analyzing company data.

The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action.

They must have strong experience using a variety of data mining / data analysis methods, using a variety of data tools, building and implementing models, using / creating algorithms and creating / running simulations.

They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams.

The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

We are looking for a strategic and experienced Data Scientist that believes in our vision and shares our values. We believe that brilliant people operating in a great culture will produce the best outcome.

We operate, hire, develop, and promote people based on the values

below.

Company's Culture

  • We are ambitious . We want to be number one. Our organization is for those is for those who always strive for excellence, for those who want to become the best in the world at what they do, for those who would never settle for less.
  • We use data to back our decisions . Our Organization is for those who dive into the details. Who are always in search of the truth.
  • Who want to understand what the problem is and its root cause.

  • We have high standards for our team and our customers . We never compromise on talent. We select, coach, and retain the best talent and give them the support to do their best work.
  • We seek team members who want to delight our customers and offer solutions that help them have high impact and solve their needs.

  • We take ownership and we persevere . We seek team members that are determined, skilled, courageous, and work intelligently every day to succeed and be number one.
  • Qualifications

  • 5 years+ of experience working with an Investment Bank, Management Consulting Firm or in an advanced degree course with heavy math and / or statistics requirements.
  • Technical expertise regarding data models, database design development, data mining and segmentation techniques.
  • Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, JavaScript, or ETL frameworks).
  • Advanced Excel skills with a strong understanding of Microsoft Office, other CRM applications and email marketing strategies

  • Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS,SAS etc).
  • Attention to Detail : The conclusions drawn from your data analysis will drive critical departmental initiatives. Accuracy and attention to detail are paramount.
  • Analytical Skills : Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • Math Skills : Deep understanding of basic statistical methods.
  • Bachelor's degree in finance, accounting, statistics, mathematics, engineering, computer science, information management, investments or a related business discipline (MBA, CPA, or CFA is a plus).
  • Key tasks and Responsibilities

    a) Acquiring, authenticating and analyzing data from primary or secondary data sources and using data

    acquired to build analytics systems, derive insights, and identify anomalies.

    b) Working with credit team to develop the organization's credit assessment algorithm including development of credit

    scores for borrowers.

    c) Assess the effectiveness and accuracy of new data sources and data gathering techniques to develop and

    implement databases, data collection systems, data analytics and other strategies that optimize statistical

    efficiency and quality.

    d) Use predictive modeling to increase and optimize customer experiences, loan origination, revenue

    generation, ad targeting and other business outcomes.

    e) Develop company A / B testing / experimentation framework and test model quality for credit assessment

    and loan originations.

    f) Identify, analyze, and interpret trends or patterns in complex data sets.

    g) Work with management to prioritize business and information needs and locate and define new process improvement opportunities.

    Benefits

  • Competitive salary, workplace benefits and eligibility for equity
  • Become part of a highly professional and dynamic team
  • An unparalleled personal and professional growth as our longer-term objective is to train the next generation of leadders for country-changing ventures
  • Requirements

    Qualifications 5 years+ of experience working with an Investment Bank, Management Consulting Firm or in an advanced degree course with heavy math and / or statistics requirements.

    Technical expertise regarding data models, database design development, data mining and segmentation techniques. Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, JavaScript, or ETL frameworks).

    Advanced Excel skills with a strong understanding of Microsoft Office, other CRM applications and email marketing strategies Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS,SAS etc).

    Attention to Detail : The conclusions drawn from your data analysis will drive critical departmental initiatives. Accuracy and attention to detail are paramount.

    Analytical Skills : Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.

    Math Skills : Deep understanding of basic statistical methods. Bachelor's degree in finance, accounting, statistics, mathematics, engineering, computer science, information management, investments or a related business discipline (MBA, CPA, or CFA is a plus).

    Key tasks and Responsibilities a) Acquiring, authenticating and analyzing data from primary or secondary data sources and using data acquired to build analytics systems, derive insights, and identify anomalies.

    b) Working with credit team to develop the organization's credit assessment algorithm including development of credit scores for borrowers.

    c) Assess the effectiveness and accuracy of new data sources and data gathering techniques to develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.

    d) Use predictive modeling to increase and optimize customer experiences, loan origination, revenue generation, ad targeting and other business outcomes.

    e) Develop company A / B testing / experimentation framework and test model quality for credit assessment and loan originations.

    f) Identify, analyze, and interpret trends or patterns in complex data sets. g) Work with management to prioritize business and information needs and locate and define new process improvement opportunities.

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