Offer summary

Qualifications:

Strong proficiency in Python or R programming languages., Strong proficiency in SQL., Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn., Solid understanding of statistical concepts and data mining techniques..

Key responsabilities:

Gather, clean, and preprocess large and complex datasets.

Conduct in-depth exploratory data analysis to uncover insights and patterns.

Develop, train, and evaluate machine learning models, including classification and regression.

Create clear and informative visualizations to communicate insights to both technical and non-technical audiences.

Job 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:

Key Responsibilities:

Data Collection and Cleaning: Gather, clean, and preprocess large and complex datasets.
Exploratory Data Analysis (EDA): Conduct in-depth EDA to uncover insights and patterns.
Feature Engineering: Create and engineer relevant features to improve model performance.
Model Development and Training: Develop, train, and evaluate machine learning models, including classification, regression, clustering, and time series analysis.
Model Deployment: Deploy models into production environments, ensuring scalability and reliability.
Model Monitoring and Optimization: Continuously monitor model performance and make necessary adjustments.
Data Visualization: Create clear and informative visualizations to communicate insights to both technical and non-technical audiences.
Collaboration: Work closely with cross-functional teams, including engineers, product managers, and business analysts.

Requirements

Strong proficiency in Python or R programming languages.
Strong proficiency in SQL
Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
Solid understanding of statistical concepts and data mining techniques.
Experience with data visualization tools like Tableau, PowerBI, or Matplotlib.
Excellent problem-solving and analytical skills.

Preferred Experience

Experience with our tech stack and working with the data in each would be preferred (amplitude and stripe, followed by domo, segment, braze)
Experience with cloud platforms (AWS, GCP, Azure).
Knowledge of big data technologies (Hadoop, Spark).
Experience with natural language processing (NLP) or computer vision.
A strong understanding of business needs and how data can drive business decisions.

Benefits