Data Scientist II
San Diego, California
Contract
Description:
Max BR: $95/hour
Location: Remote, flexible
Duration: 12 months, potential to be extended
Job Description:
Data Scientist IIOpportunity to join a vibrant, collaborative team as a data scientist conducting statistical analysis and building predictive models for a variety of performance outcomes such as fraud and credit risk for one or more industries including (but not limited to) consumer and small business lending, telecommunication, retail, and e-commerce. You would be expected to have a firm understanding of data mining, statistical methods and multiple modeling techniques. As part of the team you would be tasked with finding innovative ways to produce solutions to serve our customers and to continually expand your expertise.
Responsibilities:• Understand and execute analytic plans with the appropriate statistical or modeling technique.• Conduct analyses supporting existing and new product development or customer sales opportunities.• Assemble, merge and parse large amounts of data to detect meaningful trends and patterns.• Explore opportunities to enhance existing products with new features or new data sources.• Develop machine learning models, create model code, and work with internal or external stakeholders to validate accuracy of production code.• Interpret, document, and communicate analytic work to non-technical audiences.• Proactively identify and communicate data quality issues and successfully work with other teams to implement solutions.• Collaborate with cross-functional peers to define product and data science strategies.• Provide support to other data scientists across the organization.• Critical reviews of data experiments to ensure accuracy, completeness, and feasibility.• Other duties as assigned.
Required Qualifications:• Bachelors degree in statistics, data science, mathematics or quantitative methods and at least two years of relevant work experience.• At least one year of experience building predictive models using machine learning and conducting data analysis using R, Python or similar software packages.• At least one year of experience with mainstream programming languages, such as Java, R, Python, or Scala, in a collaborative environment using software development best practices such as version control and testing.• Superior knowledge of data science frameworks, statistical methods and advanced machine learning techniques.• High degree of creative, analytical and problem-solving skills.• Ability to learn quickly.• Ability to work effectively both independently and collaboratively.• Ability to communicate complex technical or statistical concepts to a non-technical audience.• Ability to apply modern data exploration and visualization techniques to deliver actionable insights.• Willingness to adapt to new techniques and an innovative attitude towards finding solutions.• Fluency with presentation and document programs such as PowerPoint, Word, Excel.
Preferred Qualifications:• Masters degree in statistics, data science, mathematics or quantitative methods.• Experience with big data technologies and applying large scale machine learning techniques.• Experience with version control through GitHub.• Experience with Unix/Linux system architecture and command line tools.• Experience in credit or fraud risk management industry.
Additional Information from Manager:
Tell me about your background / team / department and how your team impacts the broader organization:Our team is composed of engineers, product owners, and data scientists focused on our consumer and business marketing solutions. Our solutions help customers identify and target the appropriate people for their particular product. Our team supports products that are a subset of our full suite of scoring products, including fraud and credit solutions.
Describe the role and the key responsibilities of the role (Tell me about the project or impact that this person will have in this role): This role will be specifically focused on our marketing business case. Projects include building a machine learning model that predicts whether a particular consumer is the owner of a business, also researching internal data sources to determine the best waterfall for reporting business firmographic data. Responsibilities include the actual analysis as well as communicating and publishing results for different stakeholders. What would you say are the top 3 must-have skills you're looking for? (Measurable skills, technologies, etc.)1. Python experience 2. Experience in building predictive machine learning models3. Experience with large data sets
Describe how success will be measured during the candidates contract? What are some of the performance indicators youll be looking for once they are acclimated? (Meeting deadlines, quality of work, etc.):Meeting all project deadlines is very important. We also have very robust and standardized modeling methods and documentation best practices that will need to be followed. Flexibility is also important as multiple iterations are frequently required after stakeholder review.
Next Steps - Review & Interviewing:
What does your interview process look like? (How many interviews? What will the interview look like, such as phone, in person, panel - how many members, etc)?I think we would like 2 interviews,
• 1 hr. manager phone interview
• 1 hr. technical panel interview ( 3-4 people)
Skills:
You will receive the following benefits:
- Medical Insurance - Four medical plans to choose from for you and your family
- Dental & Orthodontia Benefits
- Vision Benefits
- Health Savings Account (HSA)
- Health and Dependent Care Flexible Spending Accounts
- Voluntary Life Insurance, Long-Term & Short-Term Disability Insurance
- Hospital Indemnity Insurance
- 401(k) including match with pre and post-tax options
- Paid Sick Time Leave
- Legal and Identity Protection Plans
- Pre-tax Commuter Benefit
- 529 College Saver Plan
Motion Recruitment Partners (MRP) is an Equal Opportunity Employer. All applicants must be currently authorized to work on a full-time basis in the country for which they are applying, and no sponsorship is currently available. Employment is subject to the successful completion of a pre-employment screening. Accommodation will be provided in all parts of the hiring process as required under MRP’s Employment Accommodation policy. Applicants need to make their needs known in advance.