Intern - Data Science

ConsumerAffairs helps consumers make smart buying decisions in moments of need. Every month millions of consumers turn to our site and tools for help with their considered (often emotional) purchases. 

We educate them about their options, learn about their specific needs, and connect hundreds of thousands of them directly to brands.  These brands use our SaaS tools to manage their reviews and communicate directly with consumers to serve them better.  Our business thrives when the consumers who trust us get matched with the right brands for them.

We’re fast-paced and our core values are the bedrock of who we are and who we want to be. 

Our employees believe in raising the bar through data-driven innovation, intellectual curiosity, and grit. We have a team-first mentality, and manifest wins by putting the team first. Collaboration and teamwork are in our hearts; we believe winning together is the most fun.  But, above all else, we care. We have servant hearts for our consumers, customers, and colleagues.  If you want to be part of a globally diverse team focussing on helping people, in an environment where we raise the bar, win as a team, and care above all else—then ConsumerAffairs may be just the place for you!

About The Internship 

As a Data Science Intern, you will be responsible for suggesting and conducting analytics to support several teams throughout the company, such as Product, Traffic, Marketplace, and Finance. You’ll assist in developing predictive models that will help grow the business by identifying the highest-converting leads and providing novel insights to our clients. You will be expected to utilize the best algorithms and methods for each problem, and to have a “hands-on” approach, working on all stages of the analytics process as required by the company.

The Data Science team is responsible for turning the organization’s raw data into impactful insights that will help ConsumerAffairs grow and increase the value it provides to its customers. You will work closely with internal and external stakeholders to understand their business needs, determine and propose which kinds of analyses will be required to improve their processes, and assess which data will need to be collected to that end. Your insights will guide the decisions made by stakeholders to grow the business.

Responsibilities

These responsibilities are not to be construed as a complete statement of all duties performed. Interns will be required to perform other job-related duties as required.

• Collaborate with internal and external stakeholders to understand their business needs and propose suitable analytic approaches to improve processes
• Review company databases and engage in discussions with internal and external stakeholders to identify opportunities that can drive business growth.
• Develop and implement models to improve key performance indicators (KPIs) for different teams. Example use cases would involve identifying leads that are most likely to convert based on their characteristics and behavior; forecast website traffic based on seasonal trends; optimize Paid Traffic campaigns and keywords; etc.  
• Research and apply state-of-the-art algorithms to extract impactful and actionable insights from collected data and stay updated with the latest advancements in data science and analytic techniques to contribute to ongoing improvement initiatives
• Write clean, robust, and maintainable code following best practices, collaborating effectively with other team members
• Communicate the results of the analysis to stakeholders through comprehensive reports and presentations, highlighting key findings and recommendations. 

Requirements

Qualifications & Credentials

• Master’s Degree in Mathematics, Engineering, Statistics, Economics or related analytic field (completed or in progress), or equivalent work experience.

Experience:

• Minimum of 2 years of experience using at least one of R and Python, or similar languages.
• Minimum 1 year of experience in a relevant position involving the analysis of data and creation of reports.
• Minimum 1 year of experience using SQL or similar language.

Knowledge, skills and abilities:

• Experience with time series analysis and natural language processing (NLP)
• Knowledge of programming languages such as SQL, Python, or R.
• Knowledge of popular data science toolkits, such as Python’s Scikit-Learn, Keras, TensorFlow and Pytorch.
• Ability to communicate complex information in a direct and actionable fashion.
• Familiarity with Business Intelligence tools (such as Tableau) and databases architecture (such as Snowflake) preferred.
• Strong analytical and Problem Solving skills.
• Strong verbal and written communication skills, with the ability to effectively convey technical concepts to non-technical stakeholders.
• Ability to prioritize tasks, meet aggressive deadlines, and work independently as well as collaboratively in a team environment.

Specific Measures of Success – Expected Outcomes

• Develop a high level of subject matter knowledge with regard to existing Data Science models
• Create evidential/supporting documentation and build stakeholder support with regard to modeling projects
• Train and release a model update

Core Values

Raise The Bar

• We raise the bar through innovation, intellectual curiosity, and grit. We are not satisfied with yesterday and our hearts thirst to be better tomorrow.

Win As A Team

• We manifest wins by putting the team first. We have collaboration and teamwork in our hearts and believe winning together is the most fun.

Care Above All Else

• We care above all else. We have servant hearts for our consumers, customers, and colleagues.

Physical Requirements & Environmental Conditions

Location: Remote/ Tulsa

Frequency of travel: Occasional travel may be required for meetings, training and/or conferences.

Light physical activities and efforts required in working within an office environment.

(Reasonable accommodations will be made in accordance with existing ADA requirements for otherwise qualified individuals with disabilities.)

ConsumerAffairs provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

• 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.

Benefits

• Practical experience with varied business activities
• Shadowing, mentoring, and training opportunities with experienced and accomplished business professionals
• Opportunity to participate in networking events and company meetings
• Flexible schedule for students
• Compensation provided
• Remote Work