We are seeking an experienced Data Scientist with a strong background in data analysis, machine learning, and statistical modeling. The ideal candidate will have between 3 to 8 years of experience in leveraging data to solve real-world business problems. This role requires a deep understanding of programming languages like Python, R, and proficiency in SQL for data manipulation. Additionally, experience with machine learning frameworks (such as TensorFlow, Scikit-learn) and data visualization tools (Tableau, Power BI) is essential.
Key Responsibilities:
Develop and implement machine learning models and algorithms to analyze large datasets.
Collect, clean, and preprocess data to ensure its quality for analysis.
Perform exploratory data analysis to uncover trends, patterns, and insights that can help drive business decisions.
Work closely with cross-functional teams to understand business needs and translate them into technical solutions.
Present findings to stakeholders using data visualization tools and compelling storytelling techniques.
Stay updated with the latest trends and advancements in data science, AI, and machine learning.
Required Skills:
Strong proficiency in Python and R for data manipulation and analysis.
Experience with SQL for database querying.
Expertise in machine learning techniques and model evaluation.
Experience with data visualization tools (., Tableau, Power BI).
Strong statistical background, with knowledge of A/B testing, hypothesis testing, and regression analysis.
Excellent communication skills, both written and verbal, with the ability to convey complex information to non-technical stakeholders.
Preferred Qualifications:
Experience in industries like finance, healthcare, retail, or e-commerce is a plus.
Knowledge of big data tools such as Hadoop or Spark.
Familiarity with cloud computing platforms like AWS or Google Cloud for scalable data solutions.
3 - 9 Years
10 Openings
Not Disclosed
Online interview
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