Senior Data Scientist

Job Description

Job Description

Does getting in on the ground floor as an initial stakeholder, building out your own team, and building a solution that has never been built before, get you excited?

Do you want to be the person, when people are talking about some awesome innovation in awe, to be able to proudly say you were instrumental in building it?

If so then this could be an exciting opportunity for you.

My client partners with companies ranging from fortune 500 to start-ups across all industries to solve their most complicated problems.

The main one, most are wrestling with is how to use data and research for their decisions. With this hole in the market in mind, they have recently brought over one of the brightest minds from the AI / Machine learning world to build a product that doesnt exist at this moment.

It is tremendously ambitious goal, and they need a special team to do it. They are constructing its own floor, in their current space, and it is just at the start of this exciting journey.

They are building a tool that can automate and replace the hundreds of thousands to million dollars that companies are spending in data science.

This tool will greatly cut down on in some cases eliminate the need for companies to pour over data researching to find trends, it will do it for them, basically personalization for B2B.

They are looking for a Senior Data Scientist to come on board and lead this ambitious initiative. If applying data mining techniques, doing statistical analysis, and building high quality prediction systems sounds like fun to you, keep reading.

You will do things like , use machine learning techniques, build recommendation systems, and develop internal A / B testing procedures, and automation creation reporting.

RESPONSIBILITIES

Selecting features, building and optimizing classifiers using machine learning techniques

Data mining using state-of-the-art methods

Enhancing data collection procedures to include information that is relevant for building analytic systems

Processing, cleansing, and verifying the integrity of data used for analysis

Doing ad-hoc analysis and presenting results in a clear manner

Creating automated anomaly detection systems and constant tracking of its performance

Utilize database technologies, including SQL, ETL, EMR, and Redshift to shape data and statistical modeling packages like R and python to build customer models.

Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation.

Research and implement novel machine learning and statistical approaches

QUALIFICATIONS

Excellent understanding of machine learning techniques and algorithms

Experience with common data science toolkits and data visualization tools

Proficiency in using query languages such as SQL, Hive, Pig etc.

Good applied statistics skills, such as distributions, statistical testing, regression, etc.

Good scripting and programming skills such as Python

Bachelors degree in computer science, Engineering, Mathematics, Statistics or related fields, or equivalent practical experience. Masters is preferred

Relevant working experience in an analytical role involving data extraction, analysis, model building, deployment and communication of insights

Excellent quantitative modeling, statistical analysis skills and problem-solving skills. Sophisticated user of statistical tools.

It is a truly unique work environment, where they are allowing the right candidate to be part of the creative, as well as the execution of the idea.

The company empowers their employees, by choosing the right people, letting them use their unique skills, and giving them every resource, and power to make decisions.

Truly a great opportunity to get in at ground floor and make a huge impact on tremendous team!

Salary based on experience