Job Overview:

We are seeking an experienced and innovative Data Scientist / AI Specialist to join our team. The ideal candidate will have a strong background in data science, machine learning, and AI, with the ability to translate complex data into actionable insights and build AI models that address real-world business challenges. This role involves working closely with cross-functional teams to identify, analyze, and execute data-driven strategies to support our growth and deliver impactful solutions.

Key Responsibilities:

• Design, develop, and implement machine learning models and algorithms to solve business problems.

• Analyze large datasets to extract meaningful insights, identify trends, and support decision-making.

• Collaborate with product managers, engineers, and stakeholders to define data requirements and translate business goals into AI solutions.

• Build and optimize data pipelines and ETL processes to handle large-scale data for analysis and model training.

• Continuously monitor, evaluate, and improve the performance of existing AI models and systems.

• Use statistical analysis and predictive modeling to inform business strategies and drive customer satisfaction.

• Present data insights and recommendations to stakeholders through visualizations, reports, and dashboards.

Qualifications:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field.

• 3+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role.

• Strong programming skills in Python or R, with experience in data manipulation, analysis, and visualization libraries.

• Proficiency in machine learning frameworks and libraries, such as TensorFlow, PyTorch, or Scikit-Learn.

• Experience with data wrangling, feature engineering, and handling structured/unstructured data.

• Knowledge of SQL and experience in working with large databases.

• Familiarity with cloud platforms (AWS, Google Cloud, or Azure) and tools for deploying AI/ML models.

• Strong analytical and problem-solving skills with attention to detail.

• Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

Preferred Skills:

• Experience with natural language processing (NLP) and deep learning techniques.

• Background in big data tools such as Spark or Hadoop.

• Knowledge of data visualization tools (e.g., Tableau, Power BI).

• Understanding of A/B testing, experimental design, and statistical methodologies.

• Familiarity with version control systems like Git

Job Type: Full-time

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