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31 Jul
2023
Full-Time Data Scientist, Distribution Strategy – Nasarawa
Job Description
We are searching for an analytic and insights Data Scientist to work with the core product team. This person, as a crucial component of our team, will have the unique potential to impact decision-making via their insights and thought leadership.
Job Title : Data Scientist, Distribution Strategy
Location : Nasarawa, Nasarawa, Nigeria
Salary : $ 43.05 per hour.
Company : OkCupid
Job Type : Full-Time
Qualifications:
- Excellent time management and independence abilities. Prioritizes daily duties and procedures and is capable of multitasking. Completes departmental and individual goals on time and with excellent results.
- Analyze data and provide recommendations based on that analysis to the development team. The use of statistical and machine learning techniques to solve particular business issues and data sets In a fast-paced entrepreneurial atmosphere, work with a variety of teams and clients.
- We employ huge data sets to discover techniques to improve products and processes, as well as models to estimate how advantageous 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.
- Controlling your own workflow means identifying and implementing high-impact initiatives, prioritizing requests from others, and making sure projects are finished on schedule so that the results may be put to good use. This is no easy task.
- Discover and operationalize the data’s underlying structure and connections using supervised and unsupervised machine learning methods.
- Finds and acts on improvement possibilities. Promotes risk-taking, alternative methods, and organizational learning. Proves change commitment by actions and words. Under stress and uncertainty, assists others in accepting change.
- Incorporates existing knowledge into performance-enhancing continuous improvement projects. Data on current and future best practices is collected and analyzed. Seek out specifics about the issues with development in the company and its processes.
- 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.
- Summarize analytical model findings. Interprets complicated business reports. Runs what-if scenarios with different parameters. Identification of anomalous trends and metrics that deviate from the defined limits and ranges. Identifies possible issues based on present patterns. Data analysis (statistics, finances).
Skills:
- Data manipulation and analysis using statistical computer languages (Python, R, etc.) is a must. A familiarity with data visualization technologies such as D3.js and matplotlib is desired. A thorough knowledge of machine learning methods such as Random Forest, SVM, k-NN, Nave Bayes, and Gradient Boosting is an asset in this role.
- OR Master’s degree in Computer Science, Statistics, Data Science, or a similar technical field with five years of relevant work experience.
- After graduating from an accredited quantitative program, you’ll need at least two years of experience in a related position. Predictive modeling, exploratory data analysis, and machine learning abilities.
- A working knowledge of the majority of the following quantitative fields: natural language processing, information retrieval, machine comprehension, question answering/conversational artificial intelligence, reinforcement learning, knowledge graph, causal inference, and design of experiment.
- The ability to convince others involves diplomacy and trust. To be successful in this capacity, you must work effectively with both internal and external stakeholders. To execute one’s work properly, one must continually communicate with other departments and divisions to discuss difficulties, provide information, and discover solutions.