Data Scientist
Data Scientist
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1 Vacancy
Job Description
Excella is a transformative technology firm that helps organizations unlock new possibilities. We believe the key to helping clients challenge the status quo and reach new heights lies in our talented people. Thats why were committed to developing talent and providing opportunities for career growth at every stage. Join our collaborative team dedicated to solving complex problems with sustainable solutions while building your future as a leader. At Excella youre empowered to make lasting impact turning todays challenges into tomorrows mission successes.
- Workplace locations look different for everyone. Excellians are a distributed workforce and whether youre working from your home office or a client site we support a flexible work/life integration regardless of your location.
- We offer top of industry medical dental and vision benefits with multiple options to choose from such as an employercontributed health savings account infertility coverage and orthodontia so you can select the plan that works best for you.
- Regardless of what stage of life youre in Excella wants to support you. We provide 8 weeks of Parental Leave discounted pet insurance and a Care membership with 3 backup emergency child or elder care days annually all available to you on your first day.
- Starting day one every employee is bonus eligible and receives 15 days of paid vacation 6 federal holidays and 4 floating holidays.
- Doing your best work means having the best tools! Excellas TechEleX program provides you with multiple options to suit your technology needs. Choose between a variety of Mac or PC devices and to ensure your hardware remains current at the end of a 3year period Excella will replace your existing computer with a new model from the program. Plus well even give you the original device to keep for your personal use!
- With Excellas Annual Internet Reimbursement benefit all employees receive an additional $25 per month to help offset the cost of internet access. This initiative reflects our commitment to supporting you in staying connected and productive no matter where you work.
- Well invest in your career by providing 3 days of paid professional development every year including an allowance for registration fees to attend classes conferences or obtain professional certifications.
- We encourage mindfulness and overall wellbeing through employee wellness events a HeadSpace membership as well as access to TalkSpace and mental health coverage through our medical plans.
Overview
The Data Scientist is responsible for using advanced statistical algorithmic machine learning data mining and visualization techniques to help advance and complete client projects. The Data Scientist must also be able to communicate complex quantitative analyses in a clear precise and actionable manner to management and executive level audiences.
Responsibilities
- Working directly with client stakeholders to understand and define analysis objectives and then translate these into actionable results.
- Obtaining data from multiple disparate data sources including structured semistructured and unstructured data.
- Using machine learning and data mining technique to understand the patterns in large volumes of data identify relationships detect data anomalies and classify data sets.
- Working with data integration developers to assess data quality and define data processing business rules for cleansing aggregation enhancement etc. support analysis and predictive modeling activities.
- Designing and building algorithms and predictive models using techniques such as linear and logistic regression support vector machines ensemble models (random forest and/or gradient boosted trees) neural networks and clustering techniques.
- Deploying predictive models and integrating them into business processes and applications.
- Validating and optimizing model performance upon deployment and tracking over time as necessary.
- Presenting complex analysis results tailored to different audiences (e.g. technical manager executive) in a highly consumable and actionable form including the use of data visualizations.
Qualifications
Technical:
- 3 years in a handson role performing advanced predictive analytics using tools like Python R or Scala.
- 3 years writing simple to complex SQL queries to obtain data from multiple source systems.
- 3 years using data mining methods such as clustering analysis and anomaly detection to understand data patterns and select appropriate predictive techniques.
- Experience with applied machine learning (treebased methods ensemble methods neural networks/deep learning)
- Proficient understanding of relational (e.g. Oracle SQL Server PostgreSQL) and Big Data distributed structures (Hadoop/Spark) in order to source data effectively.
- Experience using natural language processing techniques preferred.
- Experience using advanced analytics techniques for fraud detection and prevention preferred.
- Experience building machine learning models for production environment preferred.
NonTechnical:
- Excellent communication skills to be able to interact directly with nontechnical client stakeholders and act in a businesstotechnical translation role.
- Experience working in an onsite client technical consulting environment preferred.
- Experience working within the Agile Scrum Framework.
- Selfmotivated and selfmanaging.
- Proficient in creating reasonable and accurate time estimates for assigned tasks.
- Understanding of DevOps Research and Assessment (DORA) and the capabilities within the DORA capability catalog is encouraged.
Excella is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex gender identity sexual orientation race color religion national origin disability protected veteran status age or any other characteristic protected by law. Excella is committed to providing access equal opportunity and reasonable accommodation for individuals with disabilities in employment its services programs and activities. To request reasonable accommodation to participate in the job application or interview process contact or.
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Employment Type
Full-Time
