Data Scientist

5+ years' experience in Data Scientist roles with the following experience:

• Proficiency in SQL (SQL Server, Oracle, Bigdata), and Python (other scripting Languages: PHP, PowerShell, SAS, Linux)

• Bachelor's degree in technical field such as computer science, mathematics, statistics or equivalent years of experience. Master’s degree preferred.

• Hands-on experience with data manipulation libraries (e.g., pandas, NumPy)

• Experience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks.

• Experience in advanced multivariate time series statistics/econometric methodologies and using them to validate model assumptions and findings including analysis of model performance.

• Proficiency with feature engineering, model interpretability, and feature importance analysis

• Good understanding of mathematics, statistics, and algorithms (recommendation Engines, Customer Segmentation, Trend Modeling, Time Series Forecasting)

Description:

Looking for a Data Scientist, who will need to be bright, imaginative, and capable technologist specifically seeking a smaller and

dynamic environment where their potential will be maximized through the challenging projects

that TTG acquires.

Location: Berkeley with Hybrid Commute (Remote plus 1-2 days a month on-site or as needed)

Responsibilities:

• Employ a diverse range of statistical methodologies, including sampling techniques, feature

engineering, and other advanced approaches to address and mitigate the social inequities

reflected in the data.

• Monitor the performance of the models and make updates and improvements as necessary.

• Ensure model Explainability, interpretability and conduct feature importance analysis to identify

the most influential predictors.

• Develop and maintain documentation for models and related processes, including model

validation and testing.

• Present Complex state of the art machine learning and deep learning research to non-technical

audiences using visualizations.

• Collaborate with cross-functional teams to identify business requirements and translate them

into technical solutions.

• Evaluate and recommend new technologies and tools to improve the data science and machine

learning architecture.

• Continuously stay up to date with the latest industry trends and advancements in data science,

machine learning, and healthcare.

Skills / Qualifications:

• Proficiency in SQL (SQL Server, Oracle, Bigdata), and Python (other scripting Languages: PHP

PowerShell, SAS, Linux)

• Bachelor's degree in technical field such as computer science, mathematics, statistics or

equivalent years of experience. Master’s degree preferred.

• Hands-on experience with data manipulation libraries (e.g., pandas, NumPy)

• Experience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch,

Spark ML, scikit-learn, or related frameworks.

• Experience in advanced multivariate time series statistics/econometric methodologies and using

them to validate model assumptions and findings including analysis of model performance.

• Proficiency with feature engineering, model interpretability, and feature importance analysis

• Good understanding of mathematics, statistics, and algorithms (recommendation Engines,

Customer Segmentation, Trend Modeling, Time Series Forecasting)

• Excellent analytical and problem-solving abilities.

• Hold yourself and others to a high bar when working with production systems.

• Take pride in taking ownership and driving projects to business impact.

• Thrive in a collaborative environment.

• Healthcare or clinical lab work experience is a plus

Skills:

data science, python, Sql, machine learning

Top Skills Details:

data science, python, Sql, machine learning

Additional Skills & Qualifications:

2 roles open. looking for someone who is a great team player and preferably has a Master's degree

Experience Level:

Intermediate Level

FAQ California Assembly Bill 701 – Warehouse Distribution Centers

What is California Assembly Bill 701 - Warehouse Distribution Centers?

CA Assembly Bill 701 mandates new protections for workers in Warehouse and Distribution Centers. The 

bill aims to reduce injuries and improve workplace safety.

What are employers required to do to comply with CA AB 701?

Employers are required to obtain performance related quotas and disseminate those quotas to 

employees, which includes the quantified number of tasks or materials to be produced or handled, 

within the defined time period, and any potential adverse employment action that could result from 

failure to meet the quota.

What Is a “Quota” Under AB 701?

A “quota” under AB 701 is defined as the work standard under which an employee is assigned or 

required to perform at a specified productivity speed, or perform a quantified number of tasks, or to 

handle or produce a quantified amount of material, within a defined time period, and under which 

the employee may suffer an adverse employment action if they fail to complete the performance 

standard.

What do Sales Teams who support Clients in CA Warehouse and Distribution environments need to 

do?

• A client letter will be provided to active Warehouse & Distribution Center clients by 

Marketing Communications 

o Sales teams should obtain Performance Quotas for all employees at the client 

worksite (where quotas are required)

o Clients must complete the Performance Quota form for each position/requisition for 

all levels of that position.

• All quotas obtained from the client must be attached to the CRG 

• Quota information should be stored in the Performance Expectations field of the Connected 

job req

o Copy and paste Performance Quota template into ‘Performance Expectations’ field 

and fill in applicable details

o If you are limited by characters in the ‘Performance Expectations’ field, please enter 

remaining quota details into the ‘Additional Information’ field

o When submitting an ESF for a contractor with a Performance Quota, please note ‘CA 

Warehouse Information Required’

**Quotas must be obtained for all active employees for clients that require them, who work 

in a warehouse or distribution center environment, as early in the req-qualifying process as 

possible *

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.