Data Scientist at Licht Tech Limited

Job Description

• We are seeking a skilled Data Scientist to join our team. The ideal candidate will have a strong background in data analysis, statistical modeling, and machine learning.
• You will be responsible for extracting insights from large datasets and developing data-driven solutions to support business decisions.

Key Responsibilities

• Data Analysis: Analyze large datasets to identify patterns, trends, and insights.
• Model Development: Develop and implement statistical models and machine learning algorithms to solve business problems.
• Data Cleaning: Perform data cleaning and preprocessing to ensure the accuracy and quality of data.
• Visualization: Create visualizations and dashboards to communicate findings and insights effectively to stakeholders.
• Collaboration: Work closely with cross-functional teams, including engineering, product management, and marketing, to identify data-related opportunities and deliver actionable insights.
• Reporting: Prepare comprehensive reports and presentations to share findings and recommendations with stakeholders.
• Research: Stay up-to-date with the latest developments in data science and machine learning and apply them to improve existing processes and models.
• Automation: Develop automated data pipelines and workflows to streamline data processing and analysis.
• Model Development: Design, develop, and implement machine learning models to solve complex business problems.
• Algorithm Selection: Select appropriate machine learning techniques for various applications, including supervised and unsupervised learning.
• Data Preparation: Clean, preprocess, and transform data to make it suitable for machine learning models.
• Evaluation: Evaluate the performance of machine learning models using appropriate metrics and techniques.
• Deployment: Deploy machine learning models into production and ensure they perform effectively over time.
• Research: Stay current with the latest advancements in machine learning and artificial intelligence and integrate new techniques into existing projects.
• Collaboration: Work closely with data scientists, engineers, and other stakeholders to integrate machine learning solutions into business processes.
• Optimization: Continuously improve and optimize machine learning models for better accuracy and efficiency.
• Documentation: Document machine learning processes, models, and experiments for future reference and reproducibility.

Qualifications

• Education: Bachelor's Degree in Data Science / Statistics / Computer Science, or a related field. A Master’s degree or Ph.D. is preferred.
• Experience: Minimum of 4 years of experience in data science or a related field.
• Technical Skills: Proficiency in programming languages such as Python, R, and SQL. Experience with data visualization tools like Tableau or Power BI.
• Tools: Familiarity with machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
• Certifications: Relevant certifications in data science or machine learning are a plus.
• Experience with machine learning frameworks like TensorFlow, Keras, PyTorch, and scikit-learn.
• Tools: Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Google Cloud, Azure).

Skills and Competencies:

• Strong mathematical and statistical skills.
• Excellent problem-solving and analytical abilities.
• Ability to translate business requirements into technical solutions.
• Strong written and verbal communication skills.
• Attention to detail and ability to work independently.
• Experience with model evaluation and performance tuning.