Full-Time Data Scientist Forecasting – Abuja
Job Description
Please contact us if you are interested in joining our Data Science team. They will collaborate directly with other members of the Technology, Product Management, and Call Center teams to conceive and implement AI-based solutions for high-profile data science and artificial intelligence initiatives. When it comes to working with cutting-edge AI technology, the ideal candidate must have the ability to adapt quickly to an ever-changing work environment. The tasks will involve the collection of data from various sources, data processing, exploratory data analysis, measurement, unstructured data analysis, predictive analytics, prescriptive analytics, interpretation of results, presentation, and implementation of a new system.. To be successful, you must be able to support several projects with the utmost quality. Be a team member who thrives in high-performance work environments, with a demonstrated record of ensuring the quality of data collecting and analysis. It is your responsibility to help the company advance its analytics and data science capabilities for a wide range of employee benefit products.
Job Title : Data Scientist Forecasting
Location : Abuja, Federal Capital Territory, Nigeria
Salary : $ 42.2 per hour.
Company : Gotham Technology Group
Job Type : Full-Time
Qualifications:
- It is necessary to understand and summarize model findings. Facilitates the comprehension of complicated business reports. Perform several what-if scenarios. Unacceptable procedures and exceptions are identified. Predicts accurately future issues based on present trend assessments. Financial and statistical facts are analyzed.
- To govern your own workflow, select and execute high-impact initiatives, prioritize third-party requests, and finish projects on schedule so the outcomes may be used.
- Take a deep dive into the issues utilizing SQL and scripting languages like R and Python, as well as internal dashboards, and develop both short-term and long-term remedies. Analyze data (from previous customer behavior, sales inputs, and other sources) to discover patterns and provide reports with specific suggestions.
- I’m a self-starter who has excellent time management and organizational abilities. Organizes and prioritizes daily tasks and procedures, and is adept at multitasking. Successfully accomplishes both department and personal goals on time and with excellent results.
- Uses up-to-date information to create activities for continuous improvement that improve performance. Collects and looks over information or data about current and future best practice trends. tries to find out about things that could affect the progress of organizational and process issues.
- Utilizing supervised and unsupervised machine learning approaches, find the underlying structure and connections contained within the data, and then operationalize them.
- Massive data sets are used to find opportunities for product and process improvement, and models are used to analyze the effectiveness of alternative actions, with a proven ability to deliver business results from database insights.
- You’ll build new product growth prospects and impact momentum in addition to offering product and tech insights. Balance critical thinking and SQL, R, Python, Tableau analysis.
- Data analysis allows the development team to generate new ideas. Use statistical and machine learning approaches to solve business problems. An entrepreneurial business with a big number of teams and customers may run swiftly.
- Improves things. Promotes risk-taking, alternative ways, and learning. Actions and words show dedication to change. Helps people accept change in stressful situations.
Skills:
- With diplomacy and trust, it is possible to inspire or persuade. To be successful in this role, you must be able to work successfully with both internal and external stakeholders. With the right communication throughout the many divisions and departments of an organization, one may effectively carry out their duties.
- A master’s degree in statistics, computer science, mathematics, or another quantitative area is essential, as is at least 2-3 years of experience in a comparable capacity. Expertise in using predictive modeling, big data analytics, exploratory data analysis, and machine learning for substantial commercial effect
- Master’s degree in computer science, statistics, data science, or an equivalent discipline with five years of relevant job experience.
- Data manipulation and analysis using statistical computer languages (Python, R, etc.) is desired. Prior knowledge of data visualization technologies such as D3.js, matplotlib, and the like is desirable. A thorough knowledge of machine learning methods such as Random Forest, SVM, k-NN, Nave Bayes, and Gradient Boosting is an asset in this position.
- Information retrieval, machine understanding, answering questions (conversational AI), reinforcement learning, knowledge graphs, causal inference, and designing experiments are all areas where AI is getting better.