Data Scientist at 1904Labs (St. Louis, MO)
Interested in working for a human-centered technology company that prides itself on using modern tools and technologies? Want to be surrounded by intensely curious and innovative thinkers who push one another to come up with the best solutions possible?
Modeling ourselves after the 1904 World’s Fair, which brought innovation to the region, 1904labs is seeking top talent in St. Louis to bring innovation and creativity to help us continue to grow.
We help enterprise organizations turn their digital transformation ideas into reality. Working in a team-based labs model, using our #HCDAgile methodology, we strive to innovatively solve problems while keeping humans at the center.The Role
As a Data Scientist with 1904labs, you will be working with other data scientists, data engineers, and developers to provide analytical and data science services to clients. You will leverage the clients’ data assets to answer business questions using best practices and innovative approaches. This will mean employing various analytics tools (ex: Tableau, Power BI), data science tools (ex: Python, Apache Spark) and analysis techniques (ex: statistical analysis, unsupervised/supervised learning). Our goal is to create reusable, automated solutions, so once a solution is tested and verified, you will work with development teams to implement the algorithm as a scalable, hosted service, and monitor it in production to ensure it remains accurate.
We’re looking for an experienced and creative data scientist or analytics professional who can conceptualize a project from start to finish, identifying the appropriate data and methodologies to use. Our Data Scientists work with open-source analysis and machine learning packages and libraries, so this position involves building custom utilities from open-source resources in languages such as Python. In this role, you will own and share technical solutions with both technical and non-technical stakeholders across multiple teams both internally and with external clients.Responsibilities
Perform data analysis to understand the right combinations of data to meet objectives
Translate client queries into actionable data pulls and help translate outputs into client strategies
Develop dashboard-style visualizations and user interfaces to machine learning utilities
Build and evaluate predictive modeling & machine learning utilities to produce meaningful outcomes that enable data-led decisions
Translate analysis results into actionable insights
Present insights to both technical and non-technical audiences
Partner with internal data scientists, developers, and tech teams to develop new methodologies and utilities
Work with development teams and/or ML Ops Engineers to implement data science algorithms as scalable, hosted services
Maintain and enrich a productive relationship with client-side data scientists and data professionals
Proficient knowledge of linear algebra, statistics, probability, and numerical analysis.
Comfortable working with data to perform operations such as Extract-Transform-Load, data manipulation for analysis, data visualization, etc.
2+ years experience with data analysis techniques such as hypothesis testing, time series analysis, computational simulation, exploratory analysis, clustering, etc.
Proficient with Machine Learning Analysis: Execute, evaluate, and apply various models such as logistic regression, random forests/decision tree, nearest neighbor, neural net, support vector machine, an ensemble of multiple models, etc.
Programming: Proficient coding in an object-oriented language suited for machine learning systems such as Python (not reliant on GUI-based systems to execute analysis) for the purpose of cleaning, manipulating, visualizing, and analyzing data
Experience with software engineering and developing deployable API services
Drive to learn new technologies and frameworks
Experience with browser-based interactive computational environments (like Jupyter Notebook).
Tools: Spark, Pandas, SciKit-Learn, TensorFlow, Keras, SQL
Desires to understand the business needs and translate that into requirements.
Enjoys explaining the analysis process and translating results into actionable insights for both technical and non-technical audiences.
Experience working collaboratively with engineering teams to achieve project deliverables.
Comfort in an agile development environment (eg. writing stories, participating in workshops, sprint planning and retros)
Innovation Hours - 10% of our work week is set aside to work on our own ideas and projects. We believe that giving folks the time and space to innovate and tinker allows them to bring fresh ideas and perspectives to the work we do.
Innovation First - work where it makes sense - each day we want you, in conversation with your team, to work from where it makes the most sense.
Competitive salary, bonus, and benefits (medical, dental, paid parental leave, 401k match).
We invest in the personal and professional growth of every employee because we believe growth leads to innovative solutions and personal fulfillment.
Career paths are crafted by you and supported and nurtured by 1904labs.
Experienced team made up of intensely curious and innovative thinkers from a variety of disciplines who inspire each other to come up with the best solutions possible.
Being a trusted advisor to our clients allows us to affect change within their organizations.
We work to create an intentional culture crafted around promoting and supporting the needs of our employees as whole people.
Flexible schedules and a Human-Centered approach to work.
Strong commitment to the community. Take advantage of the relationships we’ve built with our established community partners or pursue any other community endeavor you are passionate about.
Don’t meet every requirement? No problem. If your skills and experience align without meeting all requirements, we encourage you to apply. Studies have shown that women and people of color are less likely to apply to jobs if they don’t meet every requirement. At 1904labs, one of our core beliefs, Inclusion Inspires Innovation, reflects our belief that a diverse workforce builds better, more inclusive software.
At 1904labs, we believe that inclusion inspires innovation. Our goal is to hire innovative, courageous, intensely curious, and team-minded people, and we are committed to fair hiring practices and equal treatment and opportunity in all areas of recruitment, selection, and employment without regard to gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other category protected under the law. 1904labs is an equal opportunity employer; committed to an environment of inclusion, free from discrimination, harassment, and retaliation.