Job details for
Data Scientist/Engineer

Data Scientist/Engineer

Job Info

Category: Data
Company Description: Leading Automotive Sales Website
Salary: Highly Competitive, Depending on Experience
Position Type: Permanent
Location:
Job Number: 10570

Job Description

Andiamo is looking for a Data Scientist/Engineer to support our data science and predictive modeling team. The successful candidate will work with our data science and business intelligence teams to seek out, consume and productionalize new data, both structured and unstructured. Additionally, you will be responsible for designing and maintaining the predictive modeling data pipeline from data acquisition and facilitation of model building to production scoring and model maintenance.  The candidate will thrive in a fast-paced, challenging environment and be comfortable managing multiple disparate projects and using myriad tools such as Spark, MS SQL, Python, R, etc. as necessary to get the job done. You will have an insatiable curiosity and drive to learn and implement new technologies, programming languages and database systems to help ensure you and our Data Scientists are maximizing business impact.

As a Data Engineer in Data Science you can expect to…

  • Work with data scientists to support model building, scoring, monitoring, and reporting.
  • Identify, collect, store, process and analyze data using various storage engines (MS SQL Server, Spark, etc.)
  • Design how data is stored, consumed, integrated, and managed
  • Be focused on choosing optimal solutions to use for those purposes, and then implement, maintain, and administer them
  • Design large relational data sets from unstructured data
  • Create data flows to automate the use of algorithms created by our data scientists
  • Plan, design, and optimize data processes and structures for throughput and query performance
  • Ensure the accuracy and integrity of the data sets before they are presented to end users
  • Create ETLs to integrate data between different systems and formats using tools like python, SQL Server Data Tools, etc.
  • Design processes that contain sensitive data in a responsible manner (using certificates, hashing, AD permissions), ensuring that necessary security practices are followed
  • Have the ability to read beyond the initial specs of a project to determine if there is additional functionality that should be added
  • Use basic statistical and visualization techniques to analyze the resulting data sets of your processes
  • Learn and stay abreast of new technologies that can improve the efficacy of the analytics and data science teams

REQUIREMENTS

  • Quantitative undergraduate degree (such as math, economics, statistics, engineering, etc.) with a strong academic record, graduate degree preferred
  • Minimum 3 years of professional experience in analytics, engineering, or data science
  • You are well-versed in SQL and Python, or a similar language that will easily transfer to Python such as Java or C++
  • Experience with a cloud platform such as AWS, Azure, or similar
  • Experience with CI/CD pipelines such as Jenkins, Azure DevOps (VSTS), or similar
  • You hold (or have the equivalent experience to) a degree in a technical or quantitative field, such as Computer Science, Information Systems, Engineering, Statistics, Applied Mathematics, etc.
  • You have extensive knowledge of ETL processing – data manipulation, database structure, and data management.
  • You follow software engineering best practices using tools such as unit testing and git
  • You are a self-starter with the ability to lead and build trust quickly
  • You have strong diagnostic and analytical skills, along with the ability to breakdown complex, cross-functional business problems
  • Have a deep love for data, an analytical brain, and some serious technical aptitude
  • You are fearless of being un-knowledgeable about a particular subject area/technology; you yearn to learn and ask questions, with a strong desire to grow through challenging work and new technologies

NICE TO HAVES:

  • Exposure to a big data platform, such as Hadoop and AWS
  • Experience with a data visualization tool
  • Knowledge of a statistics package such as R, SAS, or pandas in Python
  • Experience deploying Docker containers to production

What you can expect in return….

  • A full-time, salaried position
  • Medical (employee medical fully paid by client) Dental, and Vision benefits
  • A 401K with company match
  • All the snacks and drinks your heart desires (plus iced coffee on tap!)
  • Access to opportunities to expand your skill set and share your knowledge with others across the organization

Andiamo is an Equal Opportunity Employer

Andiamo provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Andiamo complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

All qualified candidates are encouraged to apply by submitting their resume as an MS word document including a cover letter with a summary of relevant qualifications, highlighting clearly any special or relevant experience.
Alex DaLessio

Alex DaLessio

Technology Talent Acquisition Specialist

Contact Recruiter

alex.dalessio@andiamogo.com

Andiamo
17 State Street, 8th floor
New York, New York 10004

Please Note: All inquiries will be treated with the utmost confidentiality. Your resume will not be submitted to any client company without your prior knowledge and consent.

Contact Us