Data Scientist
$89K-$153K (Glassdoor est.)
The Data Scientist will be joining a team of extremely passionate data scientists, product managers, and engineerswho share a common interest in tackling some of the most difficult data science and machine learning problems today. With the data products and machine learning systems you design, 7Park will arm influential decision-makers at financial and corporate giants with critical information they need to make smart, data-driven decisions. Along the way, you will help advance the current work in artificial intelligence and predictive modeling. Our technologies and data power the insights for financial services and corporations.

The compensation package includes a competitive salary and incentive structure, generous benefits, and valuable business experiences, challenges, and excitement of contributing to the success of a fast-growing technology startup company.

The data science team has two major goals: to design and build data products that provide intelligence on real-time economic activity to our financial and corporate clients and to both research and develop machine learning systems to extract information from large volumes of structured and unstructured text.

This position reports to the Chief Product Officer.

Responsibilities:
Conducting research on some of the world’s most interesting alternative datasets
Planning, developing, and applying cutting-edge machine learning systems and statistical modeling to extract insight from vast amounts of data at scale
Writing production-ready code to analyze, structure, and make accurate and timely predictions
Designing systems to monitor the results of models in productions, discover and address anomalies, and ensure the robustness and reliability of these models
Leading projects from start to finish, collaborating with 7Park’s senior management, product managers, engineers, external data partners, and clients
Requirements:
Bachelor’s degree or higher in computer science, mathematics, statistics, linguistics, physics, computational finance, or similar quantitative field
3 – 5 years of relevant professional experience in data science
Strong knowledge of machine learning, computer science, mathematics, and statistics
Strong programming skills in Python, R, and/or Scala
Experience with NumPy, SciPy, Pandas, Scikit-Learn, TensorFlow, and Keras. PyTorch is also acceptable
Experience with building distributed machine learning systems using Apache Spark and a working knowledge of MLlib
Experience with several of the following concepts: decision trees, random forests, and gradient boosting; linear regression; logistic regression; linear and non-linear dimensionality reduction using PCA, kernel methods, and dictionary learning; clustering with K-means, hierarchical clustering, and DBSCAN; autoencoders; generative models; and sequential data modeling
Results driven attitude with a strong desire to build data platforms that enable 7Park Data’s insights across a massive and diverse set of data
Fearlessness in the pursuit of process improvement, implementation, and change
Flexibility and willingness to adapt to the changing demands of a fast-paced, startup environment
Solutions oriented approach and multi-dimensional problem solving
Highly self-motivated and results oriented, proven track record of exceeding goals
Commitment to success and willingness to put forth the effort to achieve it
Strong written and verbal English communication skills
7Park Data
3.8
7Park Data
