Data Scientist x 2
Chicago, Illinois, United States
Location: Chicago,Illinois,United States
Location could be San Francisco, CA, New York, Bentonville, Washington DC or Chicago
Since 2002, Quantium have combined the best of human and artificial intelligence to power possibilities for individuals, organizations and society. Whether it be building forecasting engines that are driving down food wastage or creating tools to support campaigns that combat human trafficking, Quantium believes in better goods, services, experiences, and championing the benefits of data science and AI for a brighter future.
The opportunity
Are you working on data science problems but worried that your solutions may never be productionized? Do you want exposure to clients across a range of different domains? Perhaps you're looking for new and exciting ways to apply your technical skills to make a big and positive impact. If you are keen to accelerate your career in data science and start working on unsolved, intellectually challenging business problems, then look no further. Our teams primarily work remotely in our virtual hubs, but do have periodic in-office days to collaborate and socialize, plus stay connected virtually through bootcamps, trivia, coffee catch ups and more
Can you share a little more on some of Quantium’s projects?
At Quantium, we seek out complex, technical problems. We leverage extremely large and often disparate datasets in the retail, CPG and banking industries to solve problems for our clients that have never been solved previously. These include business problems like optimizing product offerings, personalizing customer interactions, selecting best locations for stores/branches, improving inventory forecasting and pricing for some of the biggest companies in the world.
These will typically be end-to-end data science solutions, deploying complex models that power decision-engines our clients deploy into their business processes. We work in fast-paced environments on transformational projects with tight timeframes, often teaming up in agile delivery squads. Our projects are diverse, and our solutions have a big impact on our clients’ businesses, shaping the direction of their industries and the experience of the customers they touch
What will I be doing as a data scientist at Quantium?
Many things! Your role will likely evolve as we continue to grow but at its core, the Data Scientist is a technical role that delivers high quality end-to-end analytical support across multiple projects, as a member of a project team.
This will see you helping develop and deliver high quality data science solutions for our clients, from data preparation and cleaning, through to deploying and productionising models that are embedded in client systems.
As we’re a Consultancy, you’ll get the opportunity to work on projects across different industries and partner closely with clients to understand their needs and help transform their questions and problems into analytical solutions.
What tools will I be using?
Keeping in mind that we always ensure the tools we are using are fit for purpose, for our current projects, we are typically using Spark / Scala or Teradata for data preparation and Spark / Scala, R and/or Python for advanced analytics and machine learning use cases.
Why should I be excited about this opportunity?
This is a unique opportunity to join an exciting, high growth environment where each person can contribute and have a big impact on the success of the team, whilst knowing that you have global capability (proven products and solutions built over 19 years!) to back you.
What is the team culture like?
We are a team of diverse and fun data scientists, consultants and sales professionals working in an environment where colleagues quickly become friends. Working in small, cross-functional project teams, you will have lots of opportunity to learn from senior leaders and share your learning with the team too.
OK, this is all sounding great. But do you have a bullet point list so I can see if I meet the requirements of this opportunity?
We know people are not bullet points but here we go:
- Approximately 2+ years of hands-on experience in a highly technical analytics environment, carrying out data science work with large, complex datasets.
- Experience working withing Consulting or retail, CPG or banking is advantageous but not essential
- You should ideally have experience in building models end-to-end (at least a handful through to production in a commercial environment), using techniques such as GBM/XG Boost, GLM (logistic regression), Clustering, Neural nets/deep Learning /deep nets, Multivariate regression etc
- An understanding of the importance of strong data interrogation skills to achieve optimal outcomes
- A degree in a quantitative discipline e.g. actuarial studies, mathematics / statistics, engineering etc
- Experience in using at least one of Spark / Scala, Python or R and the desire to learn new languages and techniques
- Ideally you will have experience working closely with business stakeholders or clients, partnering with them to deliver end-to-end project solutions. The ability to clearly communicate technical concepts to a non-technical audience is key
More reasons to get excited:
- Competitive salary and bonus scheme
- Medical, dental, vision and life insurance coverage - Fully paid for by Quantium
- Flexible spending account
- Retirement 401(k) plan with 6% employer contribution (regardless of employee’s contribution)
- Innovative EAP with lots of wellbeing and social events throughout the year
- Collaborative, flat structured team culture with a mix of remote and in person collaboration
More about Quantium
As one of the world’s fully diversified data science and AI leaders we operate across every sector of the economy and we’re growing fast - with growth comes opportunity! We’re passionate about building out our team of smart, fun, diverse and motivated people.
We combine a team of experts that spans data scientists, actuaries, statisticians, business analysts, strategy consultants, engineers, technologists, programmers, product developers, and futurists – all dedicated to harnessing the power of data to drive transformational outcomes for our clients.
We actively foster a culture where our people can stretch themselves to reach their full potential. We also know that work has to work for you, and modern life is fast paced and balance can be tricky. You want to work where you are respected and valued as an individual, not a number. Quantium embraces a flexible and supportive environment dedicated to powering possibilities for our team members, clients and partners.
Quantium are an equal opportunity employer and value diversity. We are a multicultural team of various beliefs, sexual orientations and gender identities. We celebrate our diversity of race, religion, colour, national origin, gender, sexual orientation, age, marital status and disability status.
If you submit an application or expression of interest to The Quantium Group Pty Ltd, we may disclose your application or expression of interest on a confidential basis to our related companies, and joint venture companies, including Quantium Health Pty Limited. We will only make such disclosures for the purpose of considering your application or expression of interest and opportunities in those organisations.
Apply to this job* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Banking Consulting Deep Learning Engineering Machine Learning Mathematics Python R Scala Spark Statistics Teradata
Perks/benefits: Career development Competitive pay Flex hours Flexible spending account Health care Insurance Salary bonus Startup environment Team events
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Marketing Data Analyst jobs
- Open MLOps Engineer jobs
- Open AI Engineer jobs
- Open Junior Data Scientist jobs
- Open Data Engineer II jobs
- Open Senior Data Architect jobs
- Open Sr Data Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Analytics Engineer jobs
- Open Power BI Developer jobs
- Open Manager, Data Engineering jobs
- Open Product Data Analyst jobs
- Open Principal Data Engineer jobs
- Open Business Data Analyst jobs
- Open Data Quality Analyst jobs
- Open Data Manager jobs
- Open Sr. Data Scientist jobs
- Open Data Scientist II jobs
- Open Big Data Engineer jobs
- Open Business Intelligence Developer jobs
- Open Data Analyst Intern jobs
- Open Principal Data Scientist jobs
- Open ETL Developer jobs
- Open Azure Data Engineer jobs
- Open Data Product Manager jobs
- Open Business Intelligence-related jobs
- Open Data quality-related jobs
- Open Privacy-related jobs
- Open Data management-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open APIs-related jobs
- Open PyTorch-related jobs
- Open PhD-related jobs
- Open TensorFlow-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open NLP-related jobs
- Open Data governance-related jobs
- Open Data warehouse-related jobs
- Open Databricks-related jobs
- Open Airflow-related jobs
- Open Hadoop-related jobs
- Open LLMs-related jobs
- Open DevOps-related jobs
- Open CI/CD-related jobs