Data Scientist

1 week ago

Belgaum, Karnataka, India Coffeee Full time

Job role : Data Scientist

Years of experience(in years) : 4 years

Location : On Site, Gurgaon

Notice Period- Immediate to 15 days

Responsibilities

● Analyze large datasets to identify trends, patterns, and insights that can drive

business decisions.

● Develop, implement, and maintain predictive models and machine learning

algorithms to solve complex business problems.

● Collaborate with cross-functional teams to understand their data needs and provide

actionable insights.

● Design and implement data processing pipelines to collect, clean, and preprocess

data for analysis.

● Communicate findings and insights through reports, dashboards, and presentations

to stakeholders.

● Stayupdated with the latest developments in data science, machine learning, and

artificial intelligence.

● Ensure data integrity, accuracy, and security in all data science processes

What we need

● Proficiency in Python and its libraries such as Pandas, NumPy, Scikit-learn,

TensorFlow, etc.

● Strong experience with data analysis, statistical modeling, and machine learning

techniques.

● Experience in data visualization tools like Matplotlib, Seaborn, Plotly, or similar.

● Ability to work with large datasets and databases (SQL, NoSQL).

● Strong problem-solving skills and the ability to think analytically and critically.

● Excellent communication skills to effectively present findings and recommendations

to non-technical stakeholders.

● Ability to work collaboratively in a team environment and manage multiple projects

simultaneously.

Qualifications

● Bachelor's or Master's degree in Data Science, Computer Science, Statistics,

● Mathematics, or a related field.

● 4+years of experience in data science, analytics, or a related field.

● Proven experience in the aviation industry is a plus.

● Strong proficiency in Python and its data science libraries.

● Experience with cloud platforms (AWS, Azure, GCP) is preferred.

● Excellent communication and presentation skills.

● Strong analytical mindset and attention to detail.

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