Data Scientist needed at Waya Multilink
Job title : Data Scientist jobs in Lagos
Job Location : Lagos
Deadline : May 27, 2023
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About the job
- We are looking for a Data scientist to utilize their analytical, statistical, and programming skills to collect, analyze, and interpret large data sets.
- Then use this information to develop data-driven solutions to difficult business challenges.
- They should have a wide range of technical competencies including: statistics and machine learning, coding languages, databases, and reporting technologies.
- The ideal candidate’s favorite words are learning, data, scale, and agility.
- You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.
Responsibilities
- Analyze raw data: assessing quality, cleansing, structuring for downstream processing
- Design accurate and scalable prediction algorithms
- Collaborate with engineering team to bring analytical prototypes to production
- Generate actionable insights for business improvements
- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
- Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
- Assess the effectiveness and accuracy of new data sources and data gathering techniques.
- Develop custom data models and algorithms to apply to data sets.
- Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
- Develop company’s testing framework and test model quality.
- Coordinate with different functional teams to implement models and monitor outcomes.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
Qualifications
- Bachelor’s degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
- At least 1 – 2 years’ of experience in quantitative analytics or data modeling
- Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
- Fluency in a programming language (Python, C,C++, Java, SQL)
- Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)
- Bachelor’s degree in statistics, math, computer science, or engineering.
- Strong problem solving skills with an emphasis on product development.
- Experience using statistical computer languages (R, Python, SQL, Spark etc.) to manipulate data and draw insights from large data sets.
- Experience working with and creating data architectures.
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
- Excellent written and verbal communication skills for coordinating across teams.
- A drive to learn and master new technologies and techniques.
- Minimum of 3 years of experience manipulating data sets and building statistical models, and is familiar with the following software/tools:
- Coding knowledge and experience with several languages: Cloud infrastructure (AWS, Azure) etc.
- Knowledge and experience in statistical and data mining techniques: Random Forest, text mining, social network analysis, etc.
- Experience querying relational and non-relational databases and using statistical computer languages: R, Python, SQL, etc.
- Experience using web services: Redshift, S3, Spark, DigitalOcean, etc.
- Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
- Experience visualizing/presenting data for stakeholders using: Power BI, Tableau, Qlick sense, Matplotlib etc.
How to Apply for this Offer
Interested and Qualified candidates should Click here to Apply Now
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