We are seeking a highly skilled and motivated Data Scientist to join our dynamic team. As a Data Scientist, you will be responsible for analyzing complex data sets, developing predictive models, and delivering actionable insights to support key business decisions. This role requires a deep understanding of statistical analysis, machine learning algorithms, data manipulation, and visualization techniques.
Key Responsibilities :
Data Analysis : Analyze large, structured and unstructured datasets to identify trends, patterns, and insights.
Model Development : Develop, test, and implement machine learning models and algorithms to solve business problems.
Data Preprocessing : Clean, transform, and preprocess raw data into a format suitable for analysis.
Predictive Modeling : Build predictive models using supervised and unsupervised learning techniques.
Data Visualization : Create intuitive and interactive dashboards, reports, and visualizations to communicate insights effectively to stakeholders.
Collaboration : Work closely with cross-functional teams, including business stakeholders, engineers, and analysts, to identify opportunities for data-driven solutions.
Continuous Learning : Stay updated with the latest advancements in data science and machine learning techniques.
Performance Evaluation : Evaluate model performance and continuously improve models based on feedback and new data.
Qualifications :
Education : Master's in Computer Science or related field.
Experience :
Proven experience as a Data Scientist, Data Analyst, or similar role.
Strong proficiency in Python, R, or other relevant programming languages.
Experience with machine learning libraries such as TensorFlow, Scikit-learn, Keras, PyTorch, etc.
Expertise in statistical analysis and predictive modeling techniques.
Technical Skills :
Strong knowledge of SQL for querying relational databases.
Experience with big data technologies (Hadoop, Spark, etc.) is a plus.
Familiarity with data visualization tools such as Tableau, Power BI, or matplotlib.
Experience in deploying machine learning models to production environments is a plus.
Analytical Skills : Strong problem-solving abilities with a keen eye for detail and the ability to translate complex data into actionable insights.
Communication : Excellent written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders.
Preferred Skills :
Experience with cloud platforms like AWS, Azure, or Google Cloud.
Familiarity with deep learning techniques and frameworks (e.g., CNNs, RNNs).
Knowledge of natural language processing (NLP) or computer vision is a plus.
Experience with A / B testing and experimental design.