Data Scientist

Posted on 9/11/2023

INACTIVE

51-200 employees

Professional services firm driving digital business transformation

Company Overview

Concurrency, Inc. stands out as a leading technology professional services firm, known for its ability to drive digital transformation in businesses through leveraging Data & AI, Cloud Datacenter and DevOps, Modern Apps, and Workplace Productivity. The company's culture fosters a team of inspired technologists who challenge the status quo and create value, earning them recognition as a multiple-time Microsoft Partner of the Year winner and a 2021 Milwaukee Journal Sentinel Top Workplace. Their deep level of expertise, combined with a strong understanding of their clients' businesses, allows them to apply technology in transformative ways, positioning them as a trusted partner in the marketplace.

Consulting

Company Stage

N/A

Total Funding

$3.4M

Founded

1989

Headquarters

Brookfield, Wisconsin

Growth & Insights

Headcount

6 month growth

↓ -8%

1 year growth

↓ -20%

2 year growth

↓ -35%

Locations

United States

Experience Level

Entry

Junior

Mid

Senior

Expert

Desired Skills

Apache Spark

Data Analysis

Data Science

Microsoft Azure

SQL

Tableau

Python

Power BI

CategoriesNew

AI & Machine Learning

Data & Analytics

Requirements

Ph. D. or Master's in Mathematics, Physics, Statistics or a related field
Experience using Databricks, Spark, SQL, and Python
Proficient in Machine Learning and forecasting
Demonstrable experience of applied Machine Learning or Data Science techniques
Knowledge of data science tool-space, data analysis, data preparation, data verification, and software development concepts
Knowledge of databases, and data warehouse structures
Basic exposure to cloud solution architectures
Deep Learning
Exposure to Data Visualization tools such as Power BI or Tableau
Experience working in a professional services organization
# L1-SB1
#LI-REMOTE

Responsibilities

Understand customer needs as it relates to presently available data
Solve complex technical problems and lead all phases of conceptualization, design, development, and testing
Use Big Data tools (Databricks, Spark, Azure, SQL, R, Python) to carry out analyses
Deploy machine learning model for training and productization
Leverage external data sources and APIs to discover interesting trends
Build machine learning models from development through simulation, testing, and validation
Integrate application-specific machine learning models
Discuss project issues and topics in easy-to-understand terms with clients while presenting project status. Present Demos and Proof of Concepts
Implement productized machine learning models
Leverage services such as Cognitive Services when applicable Understand customer needs as it relates to presently available data

Who We Are

We are change agents. We are inspired technologists. We are unlike any other technology consulting firm. Our team fearlessly challenges the status quo, relentlessly pursues what’s next and pushes the limits of what’s possible. A Microsoft Gold Partner and multiple-time Partner of the Year award recipient, Concurrency is renowned for its ability to turn unmatched technology expertise into client outcomes. Have we inspired the technologist in you? Come be a change agent at Concurrency.

Who We’re Looking For

We’re excited to add a Data Scientist to our Data & AI team. In this role, you’ll serve as a forward-thinking technical thought leader with a passion for aligning technical solutions to customer and business needs. You’ll bring a strong technical expertise in Machine Learning and Artificial Intelligence data solutions. You’ll be responsible for the development of Data Science solutions using Azure, machine learning, advanced data science concepts/algorithms, data architectures, and the evaluation and implementation of modern data science platforms.

What You’ll Do

Understand customer needs as it relates to presently available data
Solve complex technical problems and lead all phases of conceptualization, design, development, and testing
Use Big Data tools (Databricks, Spark, Azure, SQL, R, Python) to carry out analyses
Deploy machine learning model for training and productization
Leverage external data sources and APIs to discover interesting trends
Build machine learning models from development through simulation, testing, and validation
Integrate application-specific machine learning models
Discuss project issues and topics in easy-to-understand terms with clients while presenting project status. Present Demos and Proof of Concepts
Implement productized machine learning models
Leverage services such as Cognitive Services when applicable Understand customer needs as it relates to presently available data

What You’ll Need

Ph. D. or Master’s in Mathematics, Physics, Statistics or a related field
Experience using Databricks, Spark, SQL, and Python
Proficient in Machine Learning and forecasting
Demonstrable experience of applied Machine Learning or Data Science techniques
Knowledge of data science tool-space, data analysis, data preparation, data verification, and software development concepts
Knowledge of databases, and data warehouse structures

What Will Set You Apart

Basic exposure to cloud solution architectures
Deep Learning
Exposure to Data Visualization tools such as Power BI or Tableau
Experience working in a professional services organization

# L1-SB1

#LI-REMOTE

Concurrency takes pride in bringing a different mindset to consulting—that takes a diversity of thought, collaboration and resilience. We are an innovation-obsessed yet a fun and progressive place to work. We offer flexible work schedules, competitive compensation, and great benefits for our people and their families.

In addition, all employees are eligible for several rewards and recognition programs, excellent training programs, and bonus opportunities to encourage our people to be the best versions of themselves in and out of work.