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Data Scientist
2 months ago
Exp: 3-6 Years
Work Locations: Bengaluru
Notice Period: Immediate to 30 Days
Job Description:
We are looking for a data scientist who can help us leverage data to drive business growth and innovation. You will work with cross-functional teams to define and solve complex problems, using data, statistics, and machine learning. You will also communicate and present your findings and recommendations to stakeholders and decision-makers, using data visualization and storytelling.
Roles & Responsibilities:
Defining and understanding the business problem or opportunity and translating it into a data-driven question or hypothesis.
Collecting, cleaning and processing data from various sources, such as databases, APIs, web scraping
Exploring and analyzing the data, using descriptive and inferential statistics, to gain insights, identify trends and patterns.
Building and testing predictive or prescriptive models, using machine learning, deep learning, or other methods, to solve specific business problems.
Validating and evaluating the models, using appropriate metrics and techniques, to ensure optimal performance with accuracy and reliability.
Deploying and monitoring the models, using cloud platforms, frameworks, or tools, to make them available for use.
Communicating and presenting the results and recommendations, using data visualization, reports, dashboards, and storytelling, to stakeholders and decision-makers.
Requirements:
A Bachelor's or Master's degree in computer science, statistics, mathematics, engineering, or related field.
2 to 3 years of experience as a data scientist or data analyst, or equivalent.
Proficiency in programming languages, such as Python (primary), R, or Scala
Knowledge of data structures, algorithms, and data manipulation techniques.
Experience in Data sources and formats like SQL, NoSQL, CSV, JSON, XML, etc.
Hands on Data analysis and visualization libraries like Pandas, NumPy, Matplotlib, Seaborn, Plotly, or equivalent
Experience in deep learning frameworks and libraries, such as scikit-learn, tensorflow, keras, pytorch, etc.
Ability to apply various machine learning and statistical techniques, such as regression, classification, clustering, dimensional reduction, anomaly detection, natural language processing, computer vision, etc.
Skill in data visualization and storytelling, using tools such as Tableau, Power BI or equivalent
Comfort with cloud platforms and services, such as Google Cloud
Excellent communication and presentation skills, both verbal and written.
Ability to think critically and solve problems with a collaborative and customer-oriented attitude.
