GOJA LLC is seeking an experienced Data Scientist to perform strategic Advanced & Predictive Analytics, Artificial Intelligence (AI)/Machine Learning (ML) & Data Science practice across business functions. In this role the candidate will implement best of breed tools and techniques to extract, cleanse and integrate external and internal data to find valuable insights for the business.

The candidate will partner with various business teams to collaborate, test hypotheses, build proof of concepts (POC) and turn data into actionable insights.

This is an integral role within our Business Intelligence team and will evaluate/ drive adoption of emerging advanced analytics tools, work with diverse/large data sets, design visualizations and analysis tools, conduct research and statistical analysis, and collaborate closely to identify business opportunities for growth, particularly related to land acquisition.

The Data Scientist will partner with stakeholders from various business functions to identify data science opportunities, have the knowledge, experience and technical skills to leverage internal and external data.  The candidate will apply the right machine learning/big data technologies to turn such data into valuable insights and solutions for the company.

The Data Scientist will deal with large-scale data set with intensive hand-on code development. In addition, this role will be responsible for the following: Collect, process and cleanse raw data from a wide variety of sources. Transform and convert unstructured data set into structured data products. Identify, generate, and select modeling features from various data set.
Train and build machine learning models to meet business goals.

Responsibilities:

  • You will use various tools and techniques to extract, cleanse and integrate data from external and internal source systems for predictive data modeling, analysis and reporting
  • You will use tools and techniques to extract, cleanse and integrate external and internal data to find Insights. Upon completion of the analysis, provide suggestions on how to utilize the data on a day to day basis and how to correlate with different data sources.
  • You will collect and perform proof of concept with sample set of data and upon validation of success, use learnings to drive consensus for larger project.
  • You will use data extraction tools and techniques to collect data to perform machine learning algorithms and post processing. Work with business unit managers to explain how to best use the insights derived from the analysis.
  • Hands-on experience developing data science solutions, ability to communicate effectively with non-technical stakeholders, has experience with coding languages, and understanding of advanced statistical models, predictive analysis, and machine learning techniques.
  • You should be effective at organizing large amounts of data from multiple data sources and build predictive and machine learning models from these large data sets.

 

Qualifications:

  • 5+ years of experience with several years in hands on experience manipulating data sets and building statistical models.
  • BS/MS degree in Statistics, Mathematics, Computer Science or equivalent/related degree.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications
  • Experience with applying machine learning techniques at scale and their tuning parameters (Neural Networks, Random Forest, Bayesian Models, K-Means Clustering)
  • 5 years of experience applying Machine Learning, Statistical Modeling, and Data Mining Experience with SQL, NoSQL, and unstructured databases (MySQL, Hadoop, Redshift, MongoDB)
  • Proven track record in developing mathematical models to predict business outcomes and determine cause and effect relationships
  • Experience querying databases and using statistical computer languages: R, Python, etc.
  • Ability to think strategically and translate plans into phased actions in a fast paced, high pressure environment
  • Knowledge of BI related principles such as ETL, data modeling, & data warehousing
  • Experience with AWS Cloud, BI tools such as MS Power BI or Tableau and Data Profiling tools such as Alteryx is a plus keep understanding, analysis, and mining of large corpora of structured and semi-structured data. Knowledge and experience managing and analyzing global data.
  • Experience communicating with diverse teams including data scientists, engineers, product managers, and executive management.
  • Proven track record of delivering high quality analytics insights and solutions.
    Deep understanding, analysis, and mining of large corpora of structured and semi-structured data.
  • Dataset experience in document, graph, log data, and semi-structured data
    Strength in Machine Learning, Statistical Modeling, Data Mining, Pattern Recognition, Information Retrieval, Natural Language Processing, or Search Ranking
  • Deep knowledge base in Machine Learning and in- depth expertise in applying automated solutions in Decision Optimization/Workflow processes.

Education:

Position requires MS or PhD in Computer Engineering, Computer Science, Physics, Mathematics or related engineering or information sciences discipline and in lieu of a MS, a BS and 4+ years of experience will be considered.

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