Data Scientist

TL;DR

Data Scientist (ML/Python): Analyzing large datasets to uncover trends and insights, building predictive models, and contributing to data-driven decision-making with an accent on machine learning algorithms, statistical modeling, and scalable data pipelines. Focus on leading data science projects from problem formulation to deployment, performing exploratory data analysis on complex datasets, and collaborating with cross-functional teams to solve business problems.

Remote

What you will do

• Lead data science projects including data collection, analysis, modeling, and deployment of ML models.
• Collaborate with teams to identify opportunities and translate them into data projects.
• Develop ML algorithms and statistical models for complex problems.
• Perform exploratory data analysis on large datasets to find patterns.
• Work with data engineers on scalable data pipelines.
• Evaluate models, present insights to stakeholders, and mentor junior data scientists.

Requirements

• Bachelor's in Computer Science, Statistics, Mathematics, or related field.
• 2-3 years of industry experience as a data scientist.
• Strong knowledge of PowerBI, machine learning, statistical modeling, and data mining.
• Proficiency in Python or R for data analysis and modeling.
• Experience with big data technologies: Hadoop, Spark, or SQL.
• Strong problem-solving, communication skills, and ability to work in teams.

Nice to have

• Experience with deep learning frameworks: TensorFlow or PyTorch.