Data Scientist III

Title: Data Scientist III

Location: La Grange, IL 60525

Duration and hire type: Direct Hire

I am looking for an accomplished Data Scientist to join a large scale enterprise data science team. This individual will have strong experience in manufacturing/digital manufacturing Python and R, large scale database environments, qualitative and quantitative analytics, and Python stack packages. Additionally experience with data visualization tools and series analysis is required.

Education/Training:

• B.S, M.S, or PhD degree in quantitative discipline such as data science, data analytics, computer science, engineering, statistics, mathematics, or other related degree:

• 4+ years of software development experience

• 4+ years of experience with Python, R, SQL, and relational data bases.

Qualifications & Experience:

• Proficient in managing entire data science project life cycle and actively involved in all the phases of project life cycle including data acquisition, data cleaning, data engineering, features scaling, features engineering, testing and validation and data visualization.

• Proficient in Machine Learning algorithms (such as Regression Models, Decision Tree, Random Forests, and others) and Predictive Modeling:

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

• Experience working in large scale database environment like Hadoop and MapReduce, with working mechanism of Hadoop clusters, nodes and Hadoop Distributed File System (HDFS):

• Strong experience with Python (2.x,3.x) and R to develop analytic models and solutions:

• Proficient in Python 2.x/3.x with SciPy Stack packages, including NumPy, Pandas, SciPy, Matplotlib and IPython;

• Working experience in Hadoop ecosystem and Apache Spark framework such as HDFS, MapReduce, HiveQL, SparkSQL, PySpark;

• Very good experience and knowledge in provisioning virtual clusters under AWS cloud which includes services like EC2, S3, and EMR:

Overview: Sterling Engineering / Staffing has a rich history of delivering top talent to our clients. We are a nationwide Staffing Firm with over 100 clients and works primarily with Fortune 1000 corporations.

Qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information.