Data Scientist - Mumbai, India - Impact Guru

Impact Guru Mumbai, India

Found in: Talent IN 2A C2 - 2 days ago

permanent Engineering / Architecture

Description

Job Description :

Do you crave learning and tackling complex data challenges? Do the words "scale" and "agility" excite you?

If so, then this Data Scientist role might be your perfect fit In this role, you will leverage your strong collaboration skills and analytical prowess to extract valuable insights from complex datasets.

You'll be instrumental in asking the right questions, developing solutions, and turning data into actionable business intelligence.

Here's what you'll be doing :

Data Wrangling Wizard: Analyze raw data, assess its quality, cleanse it for inconsistencies, and structure it for seamless downstream processing.
Algorithmic Alchemist: Design accurate and scalable prediction algorithms to solve real-world business problems.
Bridge Between Data and Development: Collaborate closely with the engineering team to bring your analytical prototypes to life in production.
Insights Whisperer: Generate actionable insights from complex data that drive strategic decision-making and business improvements.

We're looking for someone who :

Holds a Bachelor's degree (or equivalent experience) in a quantitative field like Statistics, Mathematics, Computer Science, or Engineering.
Possesses at least 1-2 years of experience in quantitative analytics or data modeling.
Has a deep understanding of predictive modeling, machine learning techniques (clustering, classification), and algorithms.
Is fluent in at least one programming language (Python, C, C++, Java, SQL) to manipulate and analyze data.
Has familiarity with Big Data frameworks (Cassandra, Hadoop, Spark) and data visualization tools (Tableau) to manage and present insights.
Bonus points if you have:
Experience working in a fast-paced, agile environment.
A passion for continuous learning and staying up-to-date with the latest data science trends.
Excellent communication skills to translate complex data findings into clear and actionable insights for non-technical audiences.

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