Senior Data Scientist at Alfred & Victoria Associates

Alfred & Victoria Associates is one of Nigeria’s leading ICT solution based company. Our company offers a wide range of services which are in high demand of today’s emerging market. AVA has three major arms which have been streamlined to meet our customer's needs.

We are recruiting to fill the position below:

Job Title: Senior Data Scientist

Location: Lagos
Department: Technology
Job Level: Senior/ Consultant
Reports To: Chief Technology Officer

Job Description

• The incumbent will help discover the information hidden in vast amount of data and help make smarter decisions to deliver even better products.
• The primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products.
• The Data Scientist synthesizes and leverages the business’s dataset and data to enhance the business’ capabilities for overall goal achievement.
• He/she is instrumental in helping the business continue its evolution into an analytical and data-driven culture.
• We are looking to hire someone who is interested in joining highly motivated problem solvers powering the future of intelligent marketing.

Context:

• Oversee the activities of the data team.
• Analytical role researching, designing, implementing, and deploying full-stack scalable data analytics vision and machine learning solutions to challenge various business issues.
• Design, develop, and implements data management systems of analytic frameworks for business data.
• Highly Customer-centric and Service oriented.
• Excellent people-relations skills.
• Fast-paced work environment.

Job Duties & Responsibilities
The Senior Data Scientist functions cover:

• Selecting features, building and optimizing classifiers using machine learning techniques
• Data mining using state-of-the-art methods
• Extending company’s data with third party sources of information when needed
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Processing, cleansing, and verifying the integrity of data used for analysis
• Doing ad-hoc analysis and presenting results in a clear manner
• Creating automated anomaly detection systems and constant tracking of its performance

Key Points:

• Ensure best practice is adopted in processes and techniques for statistical analysis and modelling as well as leading the roll out of Big Data capabilities.
• Build effective work relationships and data-fuelled solutions that drive the business closer to its overall goals and objectives
• Knowledge of basic programming language eg python

Educational Qualifications, Certifications and Experience

• First Degree in a Statistics, Mathematics, Machine Learning, Economics and other related quantitative field
• Minimum of four-five (4-5) years working experience within the data science capacity in a fast paced and complex business settings
• Experience in data mining and predictive modelling inclusive of linear and non-Linear regression, logistic regression, and time series analysis models.
• Exceptional skills in the use of Ms Word, Ms Excel, PowerPoint, and Outlook, all necessary for the creation of both visually and verbally engaging reports and presentations, for management and key stakeholders.

Competencies:

• Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
• Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable
• Great communication skills.
• Experience with data visualization tools, such as D3.js, GGplot, etc.
• Proficiency in using query languages such as SQL, Hive, Pig
• Experience with NoSQL databases, such as MongoDB, Cassandra, HBase
• Good applied statistics skills, such as distributions, statistical testing, regression, etc.
• Good scripting and programming skills [Python, R]
• Data-oriented personality.

Salary
Very attractive.

Application Closing Date
3pm; 25th April, 2018.

How to Apply
Interested and qualified candidates should send their CV's to: [email protected]

Note: Any application received after this time will be automatically rejected.