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Description:
We are seeking a talented Data Scientist/Analyst to join our team.
You will play a critical role in driving data-driven decision-making and product innovation.
Your responsibilities will include gathering, cleaning, and preprocessing large and complex datasets.
You will conduct in-depth exploratory data analysis (EDA) to uncover insights and patterns.
You will create and engineer relevant features to improve model performance.
You will develop, train, and evaluate machine learning models, including classification, regression, clustering, and time series analysis.
You will deploy models into production environments, ensuring scalability and reliability.
You will continuously monitor model performance and make necessary adjustments.
You will create clear and informative visualizations to communicate insights to both technical and non-technical audiences.
You will work closely with cross-functional teams, including engineers, product managers, and business analysts.
Requirements:
Strong proficiency in Python or R programming languages is required.
Strong proficiency in SQL is required.
Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn is required.
A solid understanding of statistical concepts and data mining techniques is required.
Experience with data visualization tools like Tableau, PowerBI, or Matplotlib is required.
Excellent problem-solving and analytical skills are required.
Preferred experience includes familiarity with our tech stack and working with data in each (amplitude and stripe, followed by domo, segment, braze).
Experience with cloud platforms (AWS, GCP, Azure) is preferred.
Knowledge of big data technologies (Hadoop, Spark) is preferred.
Experience with natural language processing (NLP) or computer vision is preferred.
A strong understanding of business needs and how data can drive business decisions is preferred.