Data Scientist - Machine Learning (2-6 yrs)

About the Role :

We are seeking a talented and motivated Data Scientist to join our team.

You will be responsible for leveraging advanced data analysis and machine learning techniques to extract valuable insights and drive data-driven decision-making.

You will work closely with cross-functional teams to solve complex business problems and deliver innovative solutions.

Key Responsibilities :

Data Acquisition and Preparation :

- Extract, clean, and transform large and diverse datasets from various sources.

- Identify and address data quality issues, inconsistencies, and missing values.

- Perform exploratory data analysis (EDA) to understand data distributions, patterns, and anomalies.

Feature Engineering :

- Create relevant features and transform raw data into meaningful representations.

- Select and engineer features that improve model performance and interpretability.

Model Development and Training :

- Develop, train, and evaluate a variety of machine learning models, including regression, classification, clustering, and time series forecasting.

- Experiment with different algorithms and hyperparameters to optimize model performance.

- Utilize advanced techniques like deep learning, natural language processing, and computer vision as needed.

Model Deployment and Monitoring :

- Deploy models into production environments, ensuring scalability and reliability.

- Monitor model performance and retrain as necessary to maintain accuracy and relevance.

Data Visualization and Communication :

- Create clear and compelling visualizations to communicate insights to technical and non-technical audiences.

- Present findings and recommendations effectively, both verbally and in written reports.

Collaboration :

- Work closely with business stakeholders to understand their needs and translate them into actionable insights.

- Collaborate with data engineers, software engineers, and other team members to implement end-to-end data solutions.

Required Skills and Qualifications :

Technical Skills :

- Strong proficiency in Python programming language and data science libraries (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch)

- Experience with SQL and database systems

- Familiarity with cloud platforms (AWS, GCP, Azure)

- Knowledge of statistical concepts and machine learning algorithms

- Ability to work with large datasets and perform efficient data processing

Soft Skills :

- Strong analytical and problem-solving skills

- Excellent communication and presentation skills

- Ability to collaborate effectively with cross-functional teams

- Passion for learning and staying up-to-date with the latest trends in data science

Education :

- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field

Preferred Skills :

- Experience with machine learning frameworks like TensorFlow and PyTorch

- Knowledge of natural language processing (NLP) and computer vision techniques

- Experience with big data technologies (Hadoop, Spark)

- Proficiency in data visualization tools (Tableau, Power BI)