Data Scientist / Data Engineer

Chicago

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Kin + Carta

Leveraging over 1,700 highly specialised technologists, strategists and creatives across four continents, Kin + Carta makes the journey to becoming a digital business tangible, sustainable, and profitable.

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At Kin + Carta, we’ve got opportunities to offer you — for growth, for leadership, for big, world-changing impact and for, dare we say it, fun. We are a global workforce that is committed to building a world that works better for everyone. And that starts with our Kin. That’s why we’re proud of:

 

The role

Cascade Data Labs is a boutique consulting agency (operating as part of Kin + Carta) with end-to-end experience helping Fortune 500 companies form and execute their analytics strategy and infrastructure. We believe strongly that the difference between analytics success and failure comes down to practitioner-level understanding of the “details” presented across a variety of disciplines: data collection, organization, and engineering in a rapidly evolving technological landscape; analytical inference on multi-dimensional data sets; and the communication of findings to business stakeholders in visually compelling ways. As such, we seek a new breed of data professionals that can cut across these disciplines as project requirements dictate, blurring the lines between data analyst, scientist, and engineer, with the ability to work across a multitude of projects and contribute across various aspects of data product . While our culture promotes continual development and multidisciplinary growth, over time employees may gravitate towards a specific specialism and thrive in building a deep expertise in their domain of interest.

Ideal candidates will have strong quantitative backgrounds and analytical discipline. While they will have some demonstrated ability to write code, they will not have learned programming languages for the sake of building their resume, but rather as a means to express their intellectual curiosity and analytical voice. Cascade Data Labs will provide a platform and training to help them reach their full potential.

 

Core responsibilities

  • Analyze a collection of raw data sets to create meaningful impact to large enterprise clients while maintaining a high degree of scientific rigor and discipline.
  • Engineer data pipelines and products to help stakeholders make and execute data driven decisions.
  • Communicate analytical findings in an intuitive and visually compelling way.

 

Potential responsibilities (depending on aptitude, project, and seniority)

  • Creating highly visual and interactive dashboards via Tableau, PowerBI, or custom web applications
  • Conducting deep dive analysis and designing KPIs to help guide business decisions and measure success
  • Engineering data infrastructure, software libraries, and APIs supporting BI and ML data pipelines
  • Architecting cloud data platform components enabling the above
  • Building and tracking project timelines, dependences, and risks
  • Gathering stakeholder requirements and conducting technical due diligence toward designing pragmatic data-driven business solutions

 

Minimum qualifications

We want all new hires to succeed in their roles at Kin + Carta. That's why we've outlined the job requirements below. To be considered for this role, it's important that you meet all Minimum Qualifications. If you do not meet all of the Preferred Qualifications, we still encourage you to apply.

  • Minimum of 2 years professional experience in data science, analytics, and/or engineering
  • Bachelors or Masters degree in quantitative studies including Engineering, Mathematics, Statistics, Computer Science or computation-intensive Sciences and Humanities. Recent graduates should include GPAs in their resumes from degrees obtained in the last 5 years.
  • Proficiency (can execute data ingestion to insight) in programmatic languages such as SQL, Python, R

 

Preferred qualifications

  • Proficiency in visualization/reporting tools such as Tableau and PowerBI or programmatic visualization library such as R ggplot2, Python matplotlib/seaborn/bokeh, Javascript D3.
  • Proficiency scripting in UNIX environment
  • Proficiency in big data environments and tools such as Spark, Hive, Impala, Pig, etc. 
  • Proficiency with cloud architecture components (AWS, Azure, Google)
  • Proficiency with data pipeline software such as Airflow, Luigi, or Prefect
  • Ability to turn raw data and ambiguous business questions into distilled findings and recommendations for action
  • Experience with statistical and machine learning libraries along with the ability to apply them appropriately to business problems
  • Proficiency in front and back-end web application development stacks and frameworks (Javascript, HTML, CSS, React/Vue/AngularJS) including API design (REST/GraphQL) and library development 
  • Experience leading and managing technical data/analytics/machine learning projects

About Kin + Carta

Kin + Carta is a global digital transformation consultancy committed to working alongside our clients to build a world that works better #ForEveryone. Our 2,000 curious minds make creative connections between people, data and technology to create connected outcomes across the full lifecycle of the product and platform ecosystems.

We’re makers, builders and creators by nature, and we come to work every day to build experiences for some of the world’s most influential companies. We help businesses accelerate their digital roadmap, rapidly innovate, modernize their systems, enable their teams and optimize for continued growth. 

We are a technology business with trust and human connection at its heart. As a Certified B Corp, our triple bottom line focus on people, the planet and profit is at the core of everything we do.

We welcome our Kin to show up as their authentic selves every day. Because this is so important to us, Kin + Carta is proud to be an equal opportunity employer. To read further about our commitment to Inclusion, Diversity, Equity and Awareness, check out the IDEA page on our website. 

If you need accommodations at any point in the application or interview process, please let us know.

* Salary range is an estimate based on our salary survey at salaries.ai-jobs.net

Tags: Airflow APIs AWS Azure Big Data Computer Science Consulting Data pipelines Engineering ggplot2 GraphQL JavaScript KPIs Machine Learning Mathematics Matplotlib Pipelines Power BI Python R React Seaborn Spark SQL Statistics Tableau

Perks/benefits: Career development Equity Startup environment

Region: North America
Country: United States
Job stats:  15  5  0

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