Data Scientist job at PulsePoint

Job Description

PulsePoint is a digital media company headquartered in NYC that’s looking to grow the engineering team supporting our Exchange by adding engineers who are: smart, get things done, communicate well, understand computer science, take pride in engineering, and want to work in an interesting and rapidly evolving industry. We have an experienced team that is looking to add developers seeking technical challenge and empowerment to make decisions that really move the business forward.

Some major projects the Exchange team is currently working on: continuing to scale our core exchange platform, honing the intelligence of our optimization, cutting feedback time for business intelligence, improving fraud protection, and aggressive automation. Currently, the PulsePoint Exchange:

handles hundreds of thousands of transactions per second, billions of times each month
conducts real-time ad-serving based on statistical and machine-learning models
returns responses collected from dozens of parties in milliseconds
constantly evolves to a market that changes in days and weeks, not months and years
incorporates thousands of data-points into every serving decision

If working in an agile shop with a team of top-flight engineers growing the system described above sounds interesting, some things that you should know:

Summary

PulsePoint is looking to add a Data Scientist to the engineering team. We need your expertise in machine learning and data mining to help us design and implement algorithms to model and analyze very large data sets.

The Data Scientist will be responsible for using predictive modeling, statistics, trend analysis, and other techniques to collect, explore and identify the data from internal and external sources. This is an applied research position, and candidates are expected to be able to construct software systems and algorithms to explain or predict customer behavior and solve a variety of business problems (as part of the broader engineering team).

Problems this person will be focused on:

Predictive models to improve advertiser campaign performance
Machine learning models for categorizing web pages and content
Fraud detection & automated ranking content quality

Requirements

Strong problem solving skills are a must! This is primarily a problem-solving job
Solid programming skills in Java and scripting languages (Perl, Python, R, etc.)
Experience in machine learning, data mining, and predictive analysis
Excellent verbal and written communication skills
Ability to work independently and with a team
M.S. in Computer Science, Physics, Math, Operations Research or related field

Desirable

Experience with natural language processing
Experience in building production machine learning systems using big data
Experience with open-source tools (Hadoop/Pig/Hive, Mahout, R, Weka, etc.)
Experience in data visualization and presentation
Ph.D. in Computer Science, Physics, Math, Operations Research or related field
Experience in Digital Advertising/AdTech
Previous Startup experience

More about working in Technology at PulsePoint:

We’re small enough you can own something and have a direct impact, but big enough that you don’t have to go it alone. We care deeply about quality and doing the right thing, but have a strong focus on business value and time to market – and believe that focusing on the first part enables the second. Tech staff have technical management (who are technical and write code), as well as direct access to business, product, and operations (and they have access to us). Lastly, our Sr. Engineers have lots of empowerment and freedom of action (but we don’t water down our responsibilities or expectations)

Tools we use: SQL Server, MySQL, Vertica, Hadoop/Pig/Hive, SAS, Qlikview
Practices we’ve adopted: TDD/unit-testing, continuous integration, code-reviews, Scrum
Current Projects: cloud-computing, event-driven IO, self-healing systems, analytic s
We like open source: Spring, Hadoop (we run the NYC Hadoop Meetup), MySQL, Glassfish, Linux, Memcache
We have rules around meetings – to keep them short and useful
Tech staff get fast boxes, with multiple monitors, and can choose Windows or Linux
We keep a library of technical books (several hundred)
We have the usual coffee, tea, sodas, snacks, socials and events

We also believe that good balance outside work produces good work, so have:

Sane work hours (with flexible scheduling)
Real salaries, real benefits
Decent paid vacation (which your manager will make sure you actually take)

Interested in this position?

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