About the Role :
We are looking for a skilled and insightful Data Scientist to join our data team. You will be responsible for analyzing large datasets, building predictive models, and generating actionable insights to drive data-informed decisions across the organization.
This role requires strong analytical skills, proficiency in machine learning, and the ability to translate complex data into business value.
Key Responsibilities :
- Collect, clean, and preprocess structured and unstructured data from multiple sources
- Develop, test, and deploy machine learning models for classification, regression, clustering, and recommendation systems
- Perform exploratory data analysis (EDA) to discover patterns, trends, and anomalies
- Work closely with business stakeholders to understand data needs and translate requirements into analytical solutions
- Use statistical techniques and algorithms to optimize and improve existing models
- Visualize data insights using tools like Tableau, Power BI, or Matplotlib / Seaborn to communicate findings effectively
- Collaborate with data engineers and software developers to integrate models into production systems
- Monitor model performance and recalibrate as necessary
- Stay updated on the latest industry trends and advancements in AI / ML and data science techniques
Required Technical Skills :
Proficient in Python or R for data analysis and machine learningExperience with machine learning frameworks such as scikit-learn, TensorFlow, PyTorch, or XGBoostStrong knowledge of statistics, probability, and data mining techniquesHands-on experience with data manipulation libraries like Pandas and NumPyProficient in querying databases using SQLFamiliarity with big data technologies like Hadoop, Spark, or AWS / GCP / Azure cloud platforms is a plusExperience in data visualization tools such as Tableau, Power BI, or Python visualization librariesUnderstanding of natural language processing (NLP) or computer vision is advantageous(ref : hirist.tech)