27 May
2023
Full-Time Sr. Data Scientist – Koko
Job Description
We are looking for people that are clever, inquisitive, and technically competent to join our cutting-edge data science team. We employ the finest and brightest and provide them with the chance to work on cutting-edge technology. In this job, you will be able to provide new ideas and solutions that will increase our capacity to target the correct audience, extract insights, and give superior measuring methods for marketing campaigns. To fuel your ideas, you’ll have access to our core data asset and machine learning infrastructure.
Job Title : Sr. Data Scientist
Location : Koko, Delta, Nigeria
Salary : $ 43.34 per hour.
Company : OkCupid
Job Type : Full-Time
Qualifications:
- Attempt to describe the results of a simulation. Aids in the understanding of difficult business reports. Experiment with a variety of possible outcomes. Procedures and exceptions deemed unacceptable have been noted. Recognizes potential problems based on current trend projections. Data and budgets are examined.
- Work closely with the development team to provide data-driven recommendations for advancements. Use statistical and machine learning tools to solve particular business challenges and analyze data. In a dynamic entrepreneurial firm, work in a fast-paced atmosphere with different teams and clients.
- 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.
- Turns up-to-date information into activities for continuous improvement that improve performance. Collects and analyzes information or data about best practice trends now and in the future. tries to find out about problems that could slow down the progress of organizational and process problems.
- Use supervised and unsupervised machine learning approaches to uncover the underlying structure and relationships of the data.
- 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.
- Manage your own process by identifying and implementing high-impact projects, prioritizing requests from outside parties, and ensuring that the project is completed on schedule so that the results may be put to good use.
- Finds and acts on opportunities for continuous improvement. Encourages smart risk-taking, trying out different ways of doing things, and organizational learning. Shows that he or she wants to change by what they do and say. Helps other people accept change when things are hard and uncertain.
- With the demonstrated capacity to create business outcomes via databased insights, we use enormous data sets to uncover methods to enhance goods and processes, as well as models to determine how beneficial alternative actions are.
- In addition to offering insights on current Product & Technology projects, you will come up with unique product growth prospects based on insights and develop momentum via influence. If you want to learn SQL, R, Python, Tableau, etc., you’ll have to create a balance between critical thinking and real hands-on analysis.
Skills:
- An important aspect of the work is influencing and motivating people, which requires a high degree of diplomacy. The ability to work well with others, both internally and outside, is a need for this role, as is having a strong work ethic. Contacts sometimes need extensive discussion of problems, material presentations, and the resolution of difficulties affecting several departments or divisions. This is a common occurrence in the workplace.
- Master’s degree in statistics, computer science, math, or another quantitative field is required, as well as two to three years of experience in a similar role. Experience using predictive modeling, big data analytics, exploratory data analysis, and machine learning to make a big difference in business.
- An advanced degree in computer science or a related technological discipline and five years of relevant work experience are also acceptable qualifications.
- Conducting statistical analysis on huge datasets using several computer languages (Python, R, etc.) It would be helpful to have experience with D3.js, matplotlib, and the like. It is a really positive thing to make use of different machine learning algorithms including Random Forest, SVM, k-NN, Nave Bayes, and Gradient Boosting.
- NLP, IR, machine comprehension, QA/AI, reinforcement learning, knowledge graphs, causal inference, and experimental design.