We are looking for a Data Scientist to join our client’s Mass Tort Product Development. This role will work closely with our data science team, taking on progressively more responsibility as they learn the mass tort business. They will also be expected to work closely with other Mass Tort Product Development teams, business analysts, and product owners to ensure that data science solutions fit business need. We are looking for a Data Scientist with 2 to 4 years of experience.
The immediate need is to support our prescreening data product as well as various other data science initiatives for other applications. The long term goal is to provide analytical support, machine learning models, and data focused solutions to problems facing our business users and applications. This is a remote position.
Data Scientist Responsibilities
Collaborate with product owners to explore opportunities to develop data inspired solutions by developing and utilizing statistical modeling and machine learning algorithms.
Clean, prepare and verify the integrity of data for analysis.
Track model accuracy, ensuring model relevance and reliability.
Create clear, user-friendly documentation to support business usage of the solution.
Stay abreast of and apply industry and technology trends as well as emerging tools and techniques relevant to discipline.
Participate in a continuous learning environment within the advanced analytics community through persistent development of new skills and sharing of knowledge through mentorships and contributions to the open source community. Comfortable working with raw files and unstructured data.
You have a solid grasp of statistics and how it enables data scientists to solve business problems.
Build applications that facilitate robotic process automation for critical workflows.
Support and improve existing models and applications.
Data Scientist Qualifications
Bachelors Degree, Advanced Degree (MS/PhD) in a quantitative discipline preferred (e.g., Mathematics, Statistics, Economics, Physics).
In-depth knowledge of applied data science.
2+ years of experience developing machine learning models, prefer an NLP focus.
Prefer implementation experience with one or more of the following:
Natural Language Processing;
Association Rule Mining.
3+ years of hands-on experience with Python and SQL, experience with other languages a plus.
1+ years of experience developing in a Linux environment.
Experience developing and deploying machine learning models in cloud environments (AWS preferred).
Excellent communications skills, in particular, the ability to communicate technical content to general audience in presentation and meeting format.
The ability to think creatively with data, formulate and get tractions around new ideas, and bring a new perspective to the stakeholders.
Benefits are available to eligible VanderHouwen contractors and include coverage for medical, dental, vision, life insurance, short and long term disability, and matching 401k.
VanderHouwen is an award-winning, Women-Owned, WBENC certified professional staffing firm. Founded in 1987, VanderHouwen has been successfully placing experienced professionals throughout the Pacific Northwest and nationwide. Our recruitment teams are highly specialized in either Technology and IT, Engineering, or Accounting and Finance career markets. Our recruiters value building meaningful, professional relationships with each candidate as well as developing honed knowledge of companies' staffing needs and workplaces. Partner with us to land your next exciting career.
VanderHouwen is an Equal Opportunity Employer and participates in E-Verify. VanderHouwen does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, or any other characteristic protected by applicable local, state or federal civil rights laws.