Chambers O’Brien Executive Search is assisting graduate-level students searching for their first data science related job and experienced professionals to locate their next role. If you have the skills—we would like to speak with you and our clients want to meet you. *See tip below on the fastest way to increase your compensation.
Read this article on IBM’s website: THE QUANT CRUNCH: HOW THE DEMAND FOR DATA SCIENCE SKILLS IS DISRUPTING THE JOB MARKET
Data Science jobs can include Data Scientists, Data Engineers, and Software Engineers.
Our clients typically seek Data Scientist candidates with the requirements below but experience can vary by industry niche:
- Masters or Ph.D. in Statistics, Operations Research, Mathematics, Computer Science, or other quantitative field
- Tools such as Anaconda, Jupyter, iPython, Vectorization
- Neural Networks such as Recurrent Neural Network, Long Short-Term Memory, and activation functions like Rectified Linear Unit, Softmax
- Non Neural Network Algorithms including Gradient Boosted Decision Trees, Logistic Regression, Gradient Descent
- Building scalable and high performance Machine Learning and Data Mining algorithms
- Rapidly testing hypotheses by developing prototypes, running offline experiments, and online A/B tests
- Experience in NLP systems, predictive modeling, working with Big Data using Hadoop, MongoDB, Spark, Cassandra, Splunk
- Programming experience in Java, scripting tools such as Perl or Python, Hive, Pig, SQL, Spark
- Recommending machine learning algorithms including feature extraction
- Experience with tools such as R, Weka, SPSS, or SAS
- Design A/B and multivariate tests
Headhunter Tip: One of fastest ways of increasing your compensation if you have skills and experience which are in high demand in the job market is to change jobs. Early in your career (1-10 years of experience), compensation increases of 15% to 20% are not uncommon when you move to a new employer. Read this article by the Atlantic Monthly: The Special Few Who Are Getting Raises in This Economy