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Data Scientist
Fetch Rewards Chicago, IL
Full Time | Telecommunications 7 Months Ago
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Fetch Rewards is Hiring a Data Scientist Near Chicago, IL

Data Scientist

What we’re building and why we’re building it. 

Fetch is a build-first technology company creating a rewards program to power the world. Over the last 5 years we’ve grown from 0 to 18M active users and taken over the rewards game in the US with our free app. The foundation has been laid. In the next 5 years we will become a global platform that completely transforms how people connect with brands. 

It all comes down to two core beliefs. First, that people deserve to be rewarded when they create value. If a third party directly benefits from an action you take or data you provide, you should be rewarded for it. And not just the “you get to use our product!” cop-out. We’re talkin’ real, explicit value. Fetch points, perhaps. 

Second, we also believe brands need a better and more direct connection with what matters most to them: their customers. -- Brands need to understand what people are doing, and have a direct line to be able to do something about it. Not just advertise, but ACT. Sounds nice right? 

That’s why we’re building the world’s rewards platform. A closed-loop, standardized rewards layer across all consumer behavior that will lead to happier shoppers and stronger brands.

Fetch Rewards is an equal employment opportunity employer.

The Role:

The Data Science & Analytics team embodies these values and works with a laser focused objective to enable data driven decision making for both internal stakeholders and external partners. We are looking for a Data Scientist to contribute to this vision and reap the rewards of joining an exciting company in the high growth phase. 

You will create analytical solutions and machine learning models that help Fetch teams leverage and monetize actionable insights from our unique data. This is a challenging and high visibility position, responsible for creating these solutions as well as guiding technical direction. Success in this role requires the ability to take on challenging problems and design & develop an amazing solution with little to no assistance.

The ideal candidate:

  • Entrepreneurial and big-picture bend of mind for applications of machine learning in a consumer tech world
  • A penchant for fast prototyping and deployment and ability to pivot quickly to pursue impactful solutions
  • Curiosity and passion for solving new problems with creative approaches
  • Ability to successfully collaborate with both business users and engineers in solution development, deployment, and maintenance
  • Discipline to create well documented coding and analytics packets to ensure reusability and scalability as the team, partner coalition, and user base expands
  • Master’s or PhD in Statistics, Mathematics, Computer Science or any other Quantitative field
  • 2 years of work experience in data science
  • Bonus points for:
    • Experience in CPG/Retail domain and/or analytics at app-based B2C companies
    • Experience developing deploying a ML model in the domain of Recommender Systems, Anomaly Detection, Bandit testing, Graph Networks, or NLP
    • Familiarity with Big Data frameworks like Snowflake, Google Cloud, and AWS services
    • Familiarity with Grafana or any other visualization tools
    • Effective communication, ability to translate and explain technical issues to non-technical team members
    • Love of Dogs! . . . Or just tolerance. We're a very canine-friendly workplace

At Fetch Rewards, we'll give you the tools to feel healthy, happy and secure through:

  • Stock Options: Fetch wants you to be on the rocketship with us! Options will give you the opportunity to share the excitement of the company growth and have your own stake in its success. 
  • 401k Match: We match 100% of the first 3% of your 401K contribution.
  • Benefits for humans and pets: We offer comprehensive PPO and HDHP plans (Dental | Vision | Life Insurance) in addition to pet insurance, fully covered for the first pet.
  • Continuing Education: Fetch provides up to $10,000 per year in education reimbursement support for any job-related courses/programs/certifications. You will also have access to Udemy, an online course provider with thousands of topics to discover. 
  • Employee Resource Groups: Take part in employee-led groups that are centered around fostering a diverse and inclusive workplace through events, dialogue and advocacy. Current groups include Amplify BiPoC, Amplify Women, Amplify LBGTQ , Amplify Family, and Amplify Military. 
  • Paid Time Off: On top of our unlimited PTO policy, Fetch observes 9 paid holidays, including Juneteenth and Indigenous People’s Day, as well as our End-of-Year break. 
  • Robust Leave Policies: Whether it’s for you or a loved one, Fetch offers generous leave time for various health and personal needs that take you away from work. Our parental leave policy provides 18 weeks of paid time off for primary caregivers, 12 weeks for secondary, and flexible work schedules upon returning to work. 
  • Wellness Program: Utilize these tools and resources to bring your best self to work each day.
    • Wellness coach on staff to help you create goals, provide accountability and support you on your wellness journey
    • Nutrition counseling through Charge Nutrition
    • Gympass membership to access in-person gyms, virtual workout classes, meditation apps, and much more. 
    • Employee Assistance Program (EAP) provides no cost, confidential resources and services to help navigate life's many changes and challenges.
  • Hybrid Work Environment: Collaborate with your team in one of our stunning offices in Madison, Chicago or Birmingham 1-2 times per week. We’ll ensure you are equally equipped with the hardware and software you need to get your job done in the comfort of your home. 
  • Social Impact Efforts: Take part in volunteer events or donate to your favorite organizations through BrightFunds

Job Summary

JOB TYPE

Full Time

INDUSTRY

Telecommunications

POST DATE

09/26/2022

EXPIRATION DATE

10/25/2022

WEBSITE

ericveenendaal.com

HEADQUARTERS

Madison, WI

SIZE

<25

INDUSTRY

Telecommunications

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The following is the career advancement route for Data Scientist positions, which can be used as a reference in future career path planning. As a Data Scientist, it can be promoted into senior positions as a Data Scientist IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Scientist. You can explore the career advancement for a Data Scientist below and select your interested title to get hiring information.

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If you are interested in becoming a Data Scientist, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Scientist for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

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Data scientists work closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals.

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Data scientists are meant to use their technology and social science skills to develop different trends and manage data wisely.

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A data scientist develops software to structure the raw data.

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Data scientist will need to meet with their business stakeholders early and often to ensure that they are on the same page about the goals and deliverables of the project.

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Data scientists may spend some of their time working on ad hoc data requests, but these types of requests should only take up a small portion of their time.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Data Scientist jobs

Analyzing data from multiple angles and searching for trends that could reveal problems or opportunities.

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Data scientists lay a solid foundation to help perform all kinds of analysis.

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Data scientists are also expected to have stronger software engineering skills that data analysts.

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Business analysts are focused on reporting, just like data analysts.

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A data scientist should understand the assumptions that need to be met for each statistical test.

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Step 3: View the best colleges and universities for Data Scientist.

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