Research Scientist III
Posted on :
24-02-2024
Employer Active
1 Vacancy
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Job Description
Overview:
TekWissen Group is a workforce management provider throughout the USA and many other countries in the world. Our client is a company operating a marketplace for consumers sellers and content creators. It offers merchandise and content purchased for resale from vendors and those offered by thirdparty sellers.
Job Title: Research Scientist III
Location: Thornton CO 80241
Duration: 4 Months
Job Type: Contract
Work Type: Remote
Job Description:
Key job responsibilities
- Demonstrate thorough technical knowledge on feature engineering of massive datasets effective exploratory data analysis and model building using industry standard AI/ML models and working with Large Language Models
- Proficiency in both Supervised (Linear/Logistic Regression) and Unsupervised algorithms (k means clustering)
- Understand the business reality behind large sets of data and develop meaningful solutions comprising of analytics as well as marketing management.
- Work closely with internal stakeholders like the business teams engineering teams and partner teams and align them with respect to your focus area
- Innovate by adapting new modelling techniques and procedures
- Passionate about working with huge data sets (training/fine tuning) and be someone who loves to bring datasets together to answer business questions.
- You should have deep expertise in creation and management of datasets
- Exposure at implementing and operating stable scalable data flow solutions from production systems into enduser facing applications/reports.
- These solutions will be fault tolerant selfhealing and adaptive.
- Work with distributed machine learning and statistical algorithms to harness enormous volumes of data at scale to serve our customers
Story Behind the Need Business Group & Key Projects
- ORG: Entire team is under Global Last Mile Customer Experience team.
- They began in north America looking for customer feedback and branched out to start looking abroad in Europe and Japan.
- Right now one pillar of Michaels team is focused on customer delivery feedback and how to expand in more of a global market.
- For this specific project the other pillar they are focused on is dealing with Ship With client pickups.
- There are certain processes where they have to go and pick up packages from places like staples which is causing a headache and they are needing more visibility around that.
- The whole process is getting placed under Michaels Manager.
- His manager is wanting to make sure everything is built out and there are certain mechanisms in place to be able to track specific dashboards that are set up workflows for how that looks both in start content and how it would look on certain mobile applications.
Reason of request
- The projects primary objective is to achieve a 2.5% reduction in the Return to Sender (RTS) Defects per Million Opportunities (DPMO) postdeployment.
- To contextualize the financial benefit of this improvement we have conducted an indepth analysis using the 2023 RTS DPMO metrics as a foundational reference point.
Typical Day in the Role:
How is time split during a typical day related to tasks (Percentage breakdown)
- 20% on calls/ meetings
- 80% heads down work
Is there a possibility of extension or conversion to FTE
- Potential for extension
Conversion:
- no
Compelling Story & Candidate Value Proposition
What makes this role stand out / what are some unique selling points
- Ability to holistically create something that does not exist within client right now. This is great for career growth.
- Ambiguity in the role.
What client Leadership Principles best align to this role
- Learn and be curious (overall project is ambiguous/ ask questions and once permissions are given be able to go through and navigate those situations
- Dive deep
Candidate Requirements
- Title: Research Scientist III
Years of experience:
- 6
Basic Qualifications:
- 6 years of data scientist or similar role involving data extraction analysis statistical modelling and communication experience
- Bachelors degree in computer science engineering mathematics or equivalent
- Experience with statistical models e.g. multinomial logistic regression
- Proven knowledge of deep learning and experience hosting and deploying ML solutions (e.g. for training tuning and inferences)
Preferred Qualifications:
- Knowledge of AWS tech stack (e.g. AWS Redshift S3 EC2 Glue)
- Masters degree in a quantitative field such as statistics mathematics data science business analytics economics finance engineering or computer science
- Working knowledge of generative AI and hands on experience in deploying and hosting Large Foundational Models
Top 3 musthave hard skills
- Experience with statistical models e.g. multinomial logistic regression
- Proven knowledge of deep learning and experience hosting and deploying ML solutions (e.g. for training tuning and inferences)
- Bachelors degree in computer science engineering mathematics or equivalent
TekWissen Group is an equal opportunity employer supporting workforce diversity.
Employment Type
Full Time
Key Skills
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