{"id":3104,"date":"2026-09-28T14:02:26","date_gmt":"2026-09-28T14:02:26","guid":{"rendered":"https:\/\/techjobsinghana.com\/?post_type=tjig-jobs&p=3104"},"modified":"2026-09-28T14:02:42","modified_gmt":"2026-09-28T14:02:42","slug":"data-scientist-3","status":"publish","type":"tjig-jobs","link":"https:\/\/techjobsinghana.com\/fr\/tjig-jobs\/data-scientist-3\/","title":{"rendered":"Data Scientist"},"content":{"rendered":"

JOB PURPOSE<\/strong>
Reporting to the Lead, Data Science, the Data Scientist will support work on our core business products and customer transactions by assisting in the development of machine learning models under guidance and using industry best practice.
The Data Scientist will apply developing programming skills to assist with building, deploying, implementing, and maintaining predictive models and rating algorithms. The individual in this role will gain familiarity with different ways of capturing data, including REST APIs, and support the building of pipelines for real-time consumption and analysis of internal and external data sources.<\/p>\n\n\n\n

JOB CONTEXT
<\/strong>Supporting hypothesis testing, machine learning and analytical designs for prediction, forecasting, and product and business development, with guidance from senior colleagues.<\/p>\n\n\n\n


KEY RESPONSIBILITIES<\/strong>
\u2022\u00a0\u00a0\u00a0\u00a0Apply developing skills in quantitative analysis, data mining, and the presentation of data to help see beyond the numbers and understand how our customers and users interact with both business products and systems.
\u2022\u00a0\u00a0\u00a0\u00a0Assist in designing and evaluating data experiments.
\u2022\u00a0\u00a0\u00a0\u00a0Support the monitoring of key product metrics.
\u2022\u00a0\u00a0\u00a0\u00a0Help build key data sets to empower operational and exploratory analysis.
\u2022\u00a0\u00a0\u00a0\u00a0Assist in evaluating and defining metrics for the data warehouse.
\u2022\u00a0\u00a0\u00a0\u00a0Contribute to understanding user behaviours and long-term trends.
\u2022\u00a0\u00a0\u00a0\u00a0Support product teams through the presentation of data-based recommendations.
\u2022\u00a0\u00a0\u00a0\u00a0Help communicate state of business, experiment results, etc. to product teams.
\u2022\u00a0\u00a0\u00a0\u00a0Gain exposure to the Big Data ecosystem (Hadoop, Hive, MapReduce) and, where required, MySQL and Oracle.
\u2022\u00a0\u00a0\u00a0\u00a0Assist in building and maintaining pipelines via querying tools and the ETL framework for the Data Warehouse.
\u2022\u00a0\u00a0\u00a0\u00a0Collaborate with the analytics team to help formulate innovative solutions and support the application of modelling techniques.
\u2022\u00a0\u00a0\u00a0\u00a0Support the identification of business opportunities through data mining.
\u2022\u00a0\u00a0\u00a0\u00a0Partner with other units of the team to fulfil ad-hoc data requests and respond to business enquiries in a timely manner.
\u2022\u00a0\u00a0\u00a0\u00a0Provide L1\/L2 support alongside junior colleagues, managing and resolving the team\u2019s tickets through the SysAid ticket management system.<\/p>\n\n\n\n

JOB PROFILE<\/strong>
Experience & Qualifications
\u2022\u00a0\u00a0\u00a0\u00a0B.A. \/ B.Sc. in Computer Science, Math, Physics, Engineering, Economics, Statistics or other technical field.
\u2022\u00a0\u00a0\u00a0\u00a0Some experience in SQL or other programming languages.
\u2022\u00a0\u00a0\u00a0\u00a0Basic development exposure to at least one scripting language (Python, PHP, Perl, etc.).
\u2022\u00a0\u00a0\u00a0\u00a0Ability to communicate the results of analyses in a clear and effective manner with product and leadership teams.
\u2022\u00a0\u00a0\u00a0\u00a0Foundational understanding of statistics (e.g., hypothesis testing, regression analysis).
\u2022\u00a0\u00a0\u00a0\u00a0Growing ability to manipulate data sets through statistical software (e.g., R, SAS, SPSS or Minitab) or other methods.
\u2022\u00a0\u00a0\u00a0\u00a0Passion for working with big data and an interest in customer and financial models.
\u2022\u00a0\u00a0\u00a0\u00a0Awareness of Data Warehouse design and strategy concepts.
\u2022\u00a0\u00a0\u00a0\u00a0Understands relational database and star schema concepts.
\u2022\u00a0\u00a0\u00a0\u00a0Understands data profiling and data quality\/testing concepts.
\u2022\u00a0\u00a0\u00a0\u00a0Experience with Microsoft Excel \/ PowerPivot.
\u2022\u00a0\u00a0\u00a0\u00a0Financial industry experience is a plus.
\u2022\u00a0\u00a0\u00a0\u00a0Strong analytical skills, problem solver, and attention to detail.
\u2022\u00a0\u00a0\u00a0\u00a0Foundational exposure to statistical modelling techniques.
\u2022\u00a0\u00a0\u00a0\u00a0Exposure to Big Data technologies.
\u2022\u00a0\u00a0\u00a0\u00a0The ability to understand unique business needs and translate them into technical requirements, with support.
Skills, Capabilities & Direct attributes
\u2022\u00a0\u00a0\u00a0\u00a0Demonstrated ability to handle multiple projects and deadlines.
\u2022\u00a0\u00a0\u00a0\u00a0Must be Customer Service oriented.
\u2022\u00a0\u00a0\u00a0\u00a0Must be a result-driven and action-oriented individual.
\u2022\u00a0\u00a0\u00a0\u00a0Must be a true Team player.
\u2022\u00a0\u00a0\u00a0\u00a0Must also be self-motivated and able to work independently and autonomously when asked.
\u2022\u00a0\u00a0\u00a0\u00a0Must possess strong analytical and problem-solving skills.
\u2022\u00a0\u00a0\u00a0\u00a0Must possess strong abilities and interest in analyzing and extracting useful, business-related information from large amounts of Customer and pricing data.<\/p>\n\n\n\n

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