Data Scientist

CyberCoders

$100K — $150K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in data science or a related field
  • Proficient in implementing various machine learning algorithms
  • Strong statistical experimental design skills
  • Experience with advanced statistical methods and analysis
  • Coding experience in a production environment with at least one significant programming language
  • Familiarity with big data frameworks like Apache Spark and Hadoop
  • Strong team player with project ownership capabilities

Responsibilities

  • Lead innovative research projects that challenge existing market assumptions
  • Develop and implement machine learning models and algorithms
  • Conduct statistical analyses and experiment designs to drive data-informed decisions
  • Collaborate with cross-functional teams to integrate data solutions
  • Transform complex data sets into actionable insights and products
  • Maintain and improve coding standards within the team
  • Engage collaboratively with team members to foster a creative environment

Benefits

  • Opportunity to lead impactful data science projects
  • Work with cutting-edge technologies and big data solutions
  • Collaborative team environment
  • Focus on innovation and product development
  • Professional growth and development opportunities
Full Job Description
Job Description

As a member of our Data Science team, you will challenge the way our company thinks about our current and future space in the market. You will lead research projects, create awesome and revolutionary products, and share your infectious enthusiasm. You love building mathematical and probabilistic models, computer science algorithms, and you have exposure to (multi-terabyte) big data

Qualifications

Implementation experience with supervised and unsupervised machine learning algorithms, such as tree-based models like Random Forests or Decision Trees, SVM, PCA, SVD.

Real statistical experimental design skills with keen awareness of their assumptions and flaws; you are an expert at identifying correlation vs. causation in data sets.

Experience with statistical methods and analysis such as bias vs. variance tradeoffs, Bayesian Stats, probability distributions, regressions, etc.

Coding experience in a production environment. You know algorithms and data structures, parallelism and concurrency, at least 1 computer language, and computer science topics

Familiarity with parallelization frameworks such as Apache Spark, Sun Grid Engine, IPython Parallel, Hadoop.

Ability to productize our data and revolutionize the way we think about our data and business

You are a team player. You own projects from start to finish, deploy code, and coordinate work with other teams. You love hard problems as much as we do!

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