Fetch Rewards logo

Product Data Scientist

Fetch Rewards

Remote · USFull-time$184–248K/yrSeen 4 days agoSeen in employer's feed 4 days ago

Most applications go out cold — see where you stand first. No sign-up to start.

Watch jobs like this.

At a glance

Compensation
$184–248K/yr
Location
Remote · US
Schedule
Full-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

Fetch Rewards seeks a Product Data Scientist to apply analytics and data science methods to support business growth and product development. The role partners with Product, Engineering, Operations, and other stakeholders; designs experiments; develops models and data pipelines; tracks performance metrics; and communicates actionable findings. Remote work is permitted, with the option to work fully remotely from anywhere in the US or collaborate from an office.

Skills & qualifications

RequiredNice to have

Skills

PythonSparkSQLSnowflakeDBTAirflowTableauAWSDockerGitStatistical ModelingPredictive ModelingA/B TestingHypothesis TestingMetric EvaluationData PipelinesDistributed Data ProcessingData VisualizationPower BILookerLooker StudioQlikViewQlik SenseMode AnalyticsSigma ComputingHexApache HadoopMapReduceHiveApache FlinkApache BeamDaskPrestoTrino

Qualifications

Bachelor's in Business Analytics, Data Science, Analytics or Related Field or Master's in Same Fields5+ Years Data Science Experience or Master's With 3+ Years3+ Years Python Experience3+ Years Spark Experience3+ Years SQL Experience3+ Years Snowflake Experience3+ Years DBT Experience3+ Years Airflow Experience3+ Years Tableau Experience3+ Years AWS Experience3+ Years Docker Experience3+ Years Git Experience

Benefits

401(k) Match
Medical Insurance
Dental Insurance
Vision Insurance
Tuition Assistance
Paid Time Off
Parental Leave

Full job description

JOB REQUIREMENTS: Employer: Fetch Rewards, LLC Job Title: Product Data Scientist Job Location: 1050 E. Washington Ave., 2nd Floor, Madison, WI 53703 Job Type: Full-time, 40 hours a week, Monday Friday Duties: Apply advanced analytics and data science methods, including statistical analysis, experimentation, and predictive modeling, to generate insights that support business growth and product development. Partner with cross-functional teams, including Product, Engineering, and Operations, to inform decision-making and improve product performance and user experience. Design and analyze controlled experiments (e.g., A/B testing), including defining success metrics, evaluating results, and communicating findings to stakeholders. Develop and implement statistical and machine learning models to analyze large-scale datasets, identify trends, and support forecasting and decision-making. Define, track, and maintain key performance indicators (KPIs) to measure business and product performance. Build and maintain dashboards and data visualizations to enable stakeholders to monitor metrics and understand user behavior. Write and maintain code to extract, transform, and analyze structured and unstructured data from multiple sources. Support the development and maintenance of data pipelines and analytical workflows in collaboration with engineering teams. Translate complex analytical results into clear, actionable insights and present findings to senior business stakeholders. Collaborate with cross-functional partners to identify opportunities for leveraging data to drive business outcomes. Conduct exploratory data analysis to uncover patterns and insights in large datasets and provide recommendations based on findings. Evaluate and integrate new data sources to enhance analytical capabilities and improve understanding of users and products. Use tools such as Python, SQL, and data visualization platforms to perform analysis and communicate results. Remote work permitted. Requirements: Bachelor's degree (or foreign equivalent) in Business Analytics, Data Science, Analytics, or a related field of study and Five(5) years of experience as a Staff Data Scientist, Senior Data Scientist, Data Scientist, Data Science Associate, Data Science Analyst, or in a related role where the required experience was gained. Also requires 3 years of experience in each of the following: Python, Spark, SQL, Snowflake, DBT, Airflow, Tableau, AWS, Docker, and Git; Developing and applying statistical or predictive models using a programming language such as Python; Writing complex SQL queries to extract, manipulate, and analyze large datasets; Designing and analyzing controlled experiments such as A/B testing, hypothesis testing, and metric evaluation; Building data pipelines or performing data processing using distributed or large-scale data systems such as Spark, Apache Hadoop (MapReduce, Hive), Apache Flink, Apache Beam, Dask, Presto, or Trino; and Creating data visualizations or dashboards using business intelligence tools such as Tableau, Power BI, Looker/Looker Studio, Qlik (QlikView, Qlik Sense), Mode Analytics, Sigma Computing, or Hex. Alternatively, a Master's degree (or foreign equivalent) in Business Analytics, Data Science, Analytics, or a related field of study with three (3) years of experience is accepted, plus the same 3 years of special skills experience listed above Compensation: At Fetch, we offer competitive compensation packages including base, equity, and benefits to the exceptional folks we hire. The base salary range for this position is $183,665 to $248,489. Discover our benefits and how our employees live rewarded at https://fetch.com/careers. At Fetch, we'll give you the tools to feel healthy, happy and secure through: Equity: We offer employees equity in Fetch, so that everyone can benefit from Fetch's growth. 401k Match: Dollar-for-dollar match up to 4%. Benefits for humans nd pets: We offer comprehensive medical, dental and vision plans for everyone including your pets. Continuing Education: Fetch provides ten thousand per year in education reimbursement. Employee Resource Groups: Take part in employee-led groups that are centered around fostering a diverse and inclusive workplace through events, dialogue and advocacy. The ERGs participate in our Inclusion Council with members of executive leadership. Paid Time Off: On top of our flexible PTO, Fetch observes 9 paid holidays, including Juneteenth and Indigenous People's Day, as well as our year-end week-long break. Robust Leave Policies: 20 weeks of paid parental leave for primary caregivers, 14 weeks for secondary caregivers, and a flexible return to work schedule. Calvin Care Cash: Employees who are welcoming new family members will also receive a one time $2,000 incentive to assist employees with covering the cost of childcare, clothing, diapers and much more! Flexible Work Environment: Collaborate with your team in one of our stunning offices in Madison, Birmingham, or Chicago. Or you can work fully remotely from anywhere in the US. 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. Contact: Fetch Rewards, LLC at [email protected] and reference job title and location. ***** OTHER EXPERIENCE AND QUALIFICATIONS: Five(5) years of experience as a Staff Data Scientist, Senior Data Scientist, Data Scientist, Data Science Associate, Data Science Analyst, or in a related role where the required experience was gained. ***** APPLICATION INSTRUCTIONS: Other: Contact: Fetch Rewards, LLC at [email protected] and reference job title and location.

Similar jobs, posted recently

Open roles like this one, listed in the last 30 days.

You've read the whole posting — now see how you match it.