Thiruvananthapuram, Kerala, India
Information Technology
Contract
Awign
Overview
About the Role:
We are looking for a highly motivated and skilled Data Scientist to join our growing team. The ideal candidate should possess a robust background in data science, machine learning, and statistical analysis, with a passion for uncovering insights from complex datasets. This role demands hands-on experience in Python and various ML libraries, strong business acumen, and effective communication skills for translating data insights into strategic decisions.
Key Responsibilities:
We are looking for a highly motivated and skilled Data Scientist to join our growing team. The ideal candidate should possess a robust background in data science, machine learning, and statistical analysis, with a passion for uncovering insights from complex datasets. This role demands hands-on experience in Python and various ML libraries, strong business acumen, and effective communication skills for translating data insights into strategic decisions.
Key Responsibilities:
- Develop, implement, and optimize machine learning models for predictive analytics and business decision-making.
- Work with both structured and unstructured data to extract valuable insights and patterns.
- Leverage Python and standard ML libraries (NumPy, Pandas, SciPy, Scikit-Learn, TensorFlow, PyTorch, Keras, Matplotlib) for data modeling and analysis.
- Design and build data pipelines for streamlined data processing and integration.
- Conduct Exploratory Data Analysis (EDA) to identify trends, anomalies, and business opportunities.
- Partner with cross-functional teams to embed data-driven strategies into core business operations.
- Create compelling data stories through visualization techniques to convey findings to non-technical stakeholders.
- Stay abreast of the latest ML/AI innovations and industry best practices.
- 5 years of proven experience in data science and machine learning.
- Proficient in Python and key data science libraries.
- Experience with ML frameworks such as TensorFlow, Keras, or PyTorch.
- Strong understanding of SQL and relational databases.
- Solid grounding in statistical analysis, hypothesis testing, and feature engineering.
- Familiarity with data visualization tools like Matplotlib, Seaborn, or Plotly.
- Demonstrated ability to work with large datasets and solve complex analytical problems.
- Excellent communication and data storytelling skills.
- Knowledge of Marketing Mix Modeling is a plus.
- Hands-on experience with cloud platforms like AWS, Azure, or GCP.
- Exposure to big data technologies such as Hadoop, Spark, or Databricks.
- Familiarity with NLP, computer vision, or deep learning.
- Understanding of A/B testing and experimental design methodologies.
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