3 Data Scientist II Jobs in Bend, OR
SORT BY
L
L
Les Schwab Warehouse Center, LLC Legal Entity
Bend, OR | Full Time
$92k-115k (estimate)
2 Months Ago
I
Sorry! This job is no longer available. Please explore similar jobs listed on the left.
Les Schwab Tire Center is Hiring a Data Scientist II Near Bend, OR
Job Description:POSITION SUMMARY: The Data Scientist II plays a key role in transforming structured and unstructured data into insights and models for business decision-making. The Data Scientist II performs individual work assignments, participates in working groups and contributes to enterprise projects, often independently representing the Data Science and BI Team. The Data Scientist II has a strong business acumen and ability to frame business problems and transform them into analytical problems to be solved using appropriate data science methods. The Data Scientist II has a breadth of expertise in data science methodologies and techniques and can select appropriate tools for accessing and cleansing data, develop code, build predictive models, and apply statistical methods to achieve solutions to be validated by the business. This position requires minimal supervision delivering outcomes, a high breadth/depth of job specific knowledge and an advanced level of service delivery, professionalism, and communication.
This role is within the Information and Digital Services organization at Les Schwab headquarters in Bend, OR.Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. PRIMARY RESPONSIBILITIES: 35% - Operational Support:
This role is within the Information and Digital Services organization at Les Schwab headquarters in Bend, OR.Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. PRIMARY RESPONSIBILITIES: 35% - Operational Support:
- Lead discovery processes of high complexity with stakeholders to define the business problem, understand IT and business constraints and opportunities and understand the qualitative nature of data required to deliver results.
- Transform the business problem into an analytical problem and identify a wide breadth of data science approaches for achieving the desired business insights and criteria for selecting among approaches.
- Apply various Machine Learning (ML) and advanced analytics techniques to perform classification or prediction tasks.
- Assist the Data Science and BI team lead in creating high quality summaries of Data Science projects and results for presentation to steering committees and executive groups.
- Assist the Data Science and BI team lead in scoping and prioritizing data science projects.
- Build data pipelines from sources including internal data (i.e., point-of-sale, ERP and financial systems, websites, etc.) and external data (i.e., weather stations, geo-location systems and social media sites).
- Apply data cleansing techniques such as deduplication, hashing, scaling and normalization, dimensionality reduction, fuzzy matching, imputation and cross-validation.
- Design experiments to gain insight and test hypotheses using quantitative methods.
- Collaborate with data engineers and IT to evaluate and implement deployment options for developed models.
- Proactively engage in continuous professional improvement in both technical and soft skills.
- Contribute to group retrospectives and improvement of processes for collective work management.
- Identify the lifecycle of any developed models and insights and develop maintenance plans for ongoing operational use of insights and recommendations.
- Create reusable artifacts and contribute to data and insight catalogs and documentation.
- Partner with data stewards and data platform developers in continuous improvement processes to help improve data quality.
- Recommend ongoing improvements to data capture methods, analysis methods, mathematical algorithms, etc. that lead to better outcomes and quality.
- Present insights and rationale of recommendations in easy to understand terms; guide business stakeholders to validate insights and recommendations; maintain an ability and willingness to present analysis results that are data driven and may contradict common belief.
- Help improve enterprise stakeholder understanding of related technologies and processes to accomplish data science outcomes.
- Guide and inspire others about the potential applications of data science.
- Be a lead participant in peer reviews and presentation of specialist data science topics to advance collective team understanding of relevant technologies and techniques to accomplish data science outcomes.
- Network within IDS and business partner departments to gain business understanding.
- Bachelor’s degree in applied mathematics, statistics, computer science, operations research, or a related quantitative field. Alternate experience and education in equivalent areas such as economics, engineering or physics is acceptable.
- Master’s degree preferred
- Certified Analytics Professional credential (available through INFORMS.ORG) preferred
- AND minimum of 3-5 years of full-time or equivalent relevant experience executing data science projects, preferably in the domains of customer behavior prediction and operations management.
- Substantial coding knowledge and experience in at least two programming languages: for example, Python/Jupyter, R, C/C , Java or Scala.
- Experience with database programming languages including SQL, PL/SQL, or others for relational databases, graph databases or NOSQL/Hadoop-oriented databases.
- Knowledge and experience in statistical and data mining techniques that include generalized linear model (GLM) / regression, random forest, boosting, trees, text mining, hierarchical clustering, neural networks, graph analysis, data sampling, design of experiments, etc. Familiarity with typical algorithms used by retail businesses (i.e., Churn, Segmentation) preferred.
- Technical skills for working across multiple deployment environments including cloud, on-premises and hybrid and skills for acquiring new datasets, parsing datasets, organizing datasets, representing data visually and automating data-driven models.
- Experience with statistical tools and advanced analytics platforms such as: Minitab, HEX, SAS, Knime, Dataiku, Data Robot, Anaconda, Google Collaboratory.
- Annual profit-sharing bonus
- Medical, dental, vision for employees
- Company-funded retirement plan - no cost to employee
- Paid holidays
- Paid time off
- Flex remote arrangements (work 1-2 days/week from home)
- Tuition Assistance
- Employee discount
Job Summary
JOB TYPE
Full Time
SALARY
$92k-115k (estimate)
POST DATE
07/28/2024
EXPIRATION DATE
08/09/2024
WEBSITE
liveandbreathetechnologies.com
HEADQUARTERS
Portland, OR
SIZE
<25
Related Companies
Show more
The job skills required for Data Scientist II include Analysis, Data Science, Machine Learning, Python, Insight, Algorithms, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Scientist II. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Scientist II. Select any job title you are interested in and start to search job requirements.
Show more
The following is the career advancement route for Data Scientist II positions, which can be used as a reference in future career path planning. As a Data Scientist II, it can be promoted into senior positions as a Data Scientist III that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Scientist II. You can explore the career advancement for a Data Scientist II below and select your interested title to get hiring information.
Similar Jobs
Popular Articles
Top 10 Things to Avoid Putting on a Job Application
Read Article
How to Describe Your Education in a Resume
Read Article
How to Write a Memorable Cover Letter in 5 Ways
Read Article
4 Personal Finance Tips to Make During Job Transition
Read Article
4 Best Camera Setups for Interview
Read Article
Keeping a Job Search Journal: 9 Types of Journaling You Can Do
Read Article
