Data Scientist

2 months ago

Amman, Amman, Jordan Tech Kinect Full time
About the Role

We are seeking a highly skilled Data Scientist to join our team at Tech Kinect. As a Data Scientist, you will play a critical role in driving business growth and decision-making through data-driven insights.

Key Responsibilities
  • Data Exploration and Preparation: Collect, clean, and preprocess large volumes of structured and unstructured data from various sources to ensure data quality and suitability for analysis.
  • Statistical Analysis and Modeling: Apply statistical techniques to analyze data, identify patterns, correlations, and trends, and develop predictive models that provide insights and support decision-making.
  • Machine Learning and Data Mining: Utilize machine learning algorithms and data mining techniques to discover hidden patterns, build predictive models, and develop algorithms for automation and optimization.
  • Feature Engineering: Identify and create relevant features from raw data that enhance the performance and accuracy of predictive models.
  • Model Development and Evaluation: Design, implement, and fine-tune machine learning models and algorithms, assess their performance, and iterate on them to improve accuracy and efficiency.
  • Data Visualization: Create visual representations of data analysis results to effectively communicate insights and findings to non-technical stakeholders.
  • Cross-Functional Collaboration: Work closely with domain experts, business stakeholders, and other data professionals to understand business objectives, develop data-driven solutions, and drive implementation.
  • Experiment Design and A/B Testing: Design and conduct experiments to validate hypotheses, measure the impact of changes, and optimize business processes.
  • Data Governance and Ethics: Ensure compliance with data privacy regulations, maintain data integrity and security, and promote ethical use of data.
Requirements
  • Strong Analytical and Mathematical Skills: Proficiency in statistical analysis, mathematical modeling, and quantitative reasoning to formulate and solve complex problems.
  • Programming Skills: Proficiency in programming languages such as Python, R, or Java, and experience with data manipulation libraries and frameworks (e.g., NumPy, pandas, scikit-learn) for efficient data analysis and model development.
  • Machine Learning and Data Mining: Solid understanding of machine learning algorithms, data mining techniques, and their practical applications for predictive modeling, classification, clustering, and recommendation systems.
  • Data Visualization: Proficiency in data visualization tools and libraries (e.g., Tableau, Matplotlib, ggplot) to create meaningful visual representations of data analysis results.
  • Big Data Technologies: Familiarity with big data processing frameworks like Apache Hadoop, Spark, or distributed computing platforms, and experience working with large-scale datasets.
  • Domain Knowledge: Expertise in the specific industry or domain relevant to the organization, such as finance, healthcare, e-commerce, or marketing, to understand business problems and develop tailored solutions.
  • Problem-Solving Abilities: Strong critical thinking skills to identify data-related challenges, develop innovative approaches, and apply creative problem-solving techniques.
  • Communication and Presentation Skills: Excellent verbal and written communication skills to convey complex technical concepts to both technical and non-technical stakeholders, and to present data-driven insights effectively.
  • Continuous Learning: A passion for staying updated with the latest advancements in data science, machine learning, and related technologies, and a commitment to continuous learning and professional development.

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