Vacancies at Alfred & Victoria Associates, Thursday 19, April 2018

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Vacancies at Alfred & Victoria Associates, Thursday 19, April 2018 – Alfred and Victoria Associates is one of Nigeria’s driving ICT arrangement based organization. Our organization offers an extensive variety of administrations which are popular of the present developing business sector. AVA has three noteworthy arms which have been streamlined to address our client’s issues.

SENIOR DATA SCIENTIST

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.

PRODUCT MANAGER

KEY RESPONSIBILITIES
Product Development:
Identify & explore new opportunities in the market for penetration.
Develop requirements documentation and roadmaps for product development.
Work on documents required for business development purposes such as product pitch documents.
Work with UAT on Testing, User Feedback.
Work on Merchant Acquisition Strategy and identify potentially attractive merchants to be signed.
Oversee Product Launch Strategy and work with MCC.
Develop, commission and operate software solutions/platforms.
Design a detailed UX interface to make sure features will work optimally for the customer.
Work with engineering to incorporate product components in the final product.
Collaborate with sales, business units to ensure that customer requirements are fully met.
Define the product pricing model and billing procedures.
Oversee business case modelling & pricing options.
Stakeholder Relationship Management:

Establish partnerships and relationships which are necessary for go to market plan and product development and management.
Hold regular status meetings with technology team and setting timelines for projects.
Meet with customers to identify product requirements.
Operations:

Meet with customer to clarify features and walk through product iterations in the course of development to ensure product development is on track to meet customer requirements.
Implement product changes, monitor product maturity and ensure steady growth.
Ensure successful integration of new product offerings.
Identify, capture, and resolve issues as they arise in collaboration with engineering.
Ensure development team is delivering product design updates and other improvements to scope and schedule.
Coordinate operational activities for running digital/technology campaigns.
Ensure technology team is delivering product design updates and other improvements to scope and schedule.
Manage product development and product life cycle 3.
Relationships

Internal Relationships:
Technology Department
Business Units
MCC
External Relationships:

MNOs
Publishers & CPs
Brands, Agencies, and Business Clients
Partners & Vendors

REQUIRED QUALIFICATIONS
University degree in Computer Science or Engineering, with a minimum of second class degree
PMP, Oracle and Java certification is an added advantage
Relevant Experience:

3-5 years experience in a product management role in software development or related area.

SKILLS & COMPETENCIES:
Strong analytical background
Product Prototyping
Business Analysis
Product Development & Management (Go-To-Market Strategies)
Project Management
Requirement Gathering & Analysis
Negotiation & Interpersonal Skills
Client relationship management
Business Development
Technical Documentation
Excellent communication, interpersonal, and relationship-building skills
Experience in digital ad campaign management is essential – in a similar role either at an agency, publisher or ad network.
Salary
Very attractive.

MACHINE LEARNING ENGINEER

Reports To: Chief Technology Officer
Department: Technology
Job Level: Intermediate

JOB DESCRIPTION
We are a technology driven data-analytics Company powering intelligent marketing across Africa.
We need skilled, talented and smart Machine Learning Engineer to join our growing technology team.
We are looking to hire a developer who is interested in joining highly motivated problem solvers powering the future of intelligent marketing.

CONTEXT:
Data Analytics.
Problem solving skills.
Basic programming Knowledge and skills.
Excellent people-relations skills.
Fast-paced work environment.

JOB DUTIES & RESPONSIBILITIES
The Machine Learning Engineer’s function covers:
Work closely with Data Engineers and Data Scientists to create analytical variables, metrics and models.
Work with Data Scientists to solve difficult engineering and machine learning problems and produce high-quality code.
Identify and use the right analytical libraries, programming languages and frameworks for each task, while developing your abilities and understanding of data science methodologies and approaches.
Contribute to coding and engineering practices across all projects.
Refactor code into reusable libraries, APIs and tools.

KEY POINTS:
Creation of Analytical models and variables
Production of high quality codes

Educational Qualifications, Certifications and Experience
First Degree in Computer Science, Systems Engineering, Mathematics, Statistics or other related field
Minimum of One- two (1-2) years working experience on Machine Learning in a fast paced and complex business settings

COMPETENCIES:
Experience as a software engineer with a deep interest in Analytics and Data Science
Ability to engineer beautiful code and work on varied data science projects across multiple industries
Proven knowledge of object-oriented programming e.g. Scala, Java, C++ etc.
Knowledge of at least one scripting language e.g. Python, Perl, R etc.
Deep knowledge of testing frameworks and libraries
Good knowledge of database management languages e.g. SQL, PostgreSQL or Object-based databases
Knowledge of statistics, machine learning and data analytics techniques
Knowledge of Big Data technologies, such as Spark, Hadoop/MapReduce is desirable but not essential
Salary
Very attractive.

APPLICATION METHOD
Interested and qualified candidates should send their CV’s to: [email protected]

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

DEADLINE: 3pm; 25th April, 2018

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