Data Scientist

Job Title: Data Scientist

Experience Required: 4-6 Years

Location: Kolkata (WB), Port Moresby, Papua New Guinea (Travel, on business requirement)

Type: Full-Time

Job Summary:

We are seeking a Data Scientist with 4-6 years of experience who is passionate about leveraging data to drive business decisions. The ideal candidate will be responsible for collecting, analysing, and interpreting large datasets to develop data-driven solutions, create predictive models, and communicate insights to stakeholders.

Key Responsibilities:

• Collaborate with cross-functional teams to understand business challenges and develop data-driven solutions.
• Collect, clean, and preprocess large and complex datasets from various sources.
• Apply advanced statistical techniques, machine learning algorithms, and predictive modelling to extract actionable insights.
• Develop and implement data models, algorithms, and automated systems to optimize business processes.
• Visualize data findings using tools like Tableau, Power BI, or Python libraries (Matplotlib, Seaborn).
• Communicate insights and recommendations to stakeholders through reports, dashboards, and presentations.
• Stay updated with the latest industry trends, tools, and technologies in data science and analytics.
• Collaborate with data engineers to deploy models into production environments.

Required Qualifications and Skills:

• Bachelors or Masters degree in data science, Computer Science, Statistics, Mathematics, or a related field.
• 4-6 years of experience in data science, machine learning, or advanced analytics.
• Strong programming skills in Python or R, and proficiency in SQL for data manipulation.
• Hands-on experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
• Expertise in data visualization tools such as Tableau, Power BI, or relevant Python libraries.
• Solid understanding of statistical analysis, hypothesis testing, and data modelling techniques.
• Experience with cloud platforms (AWS, Azure, or GCP) is a plus.
• Excellent problem-solving skills and the ability to work in a collaborative, team-oriented environment.
• Strong communication skills for effective stakeholder engagement and presentation of data insights.

Preferred Qualifications:

• Experience in big data technologies (e.g., Hadoop, Spark) is advantageous.
• Familiarity with Natural Language Processing (NLP) or Deep Learning models is a plus.
• Knowledge of data engineering concepts and experience with ETL pipelines is beneficial.