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Data Scientist
quinnox Chicago, IL
$123k-152k (estimate)
Full Time | IT Outsourcing & Consulting 0 Months Ago
Save

quinnox is Hiring a Data Scientist Near Chicago, IL

Title: Data Science Opportunity Opportunity Description:

● Working very closely with business stakeholders on projects; interactions with business stakeholders on a daily basis

○ Understand the client objectives, and work with the Project Lead (PL) to design the analytical

● solution/framework. Be able to translate the client objectives / analytical plan into clear

● deliverables with associated priorities and constraints

○ Organize/Prepare/Manage data and conduct quality checks to ensure that the analysis dataset is ready

○ Explore and implement various statistical and analytical techniques (including machine

● learning) like linear/non-linear Regression, Decision Trees, Segmentation, time series

● forecasting as well as machine learning algorithms like Random Forest, SVM, ANN, etc.

○ Conduct sanity checks of the analysis output based on reasoning and common sense, and be

● able to do a rigorous self QC, as well as of the work assigned to other analysts to ensure an

● error-free output

○ Troubleshoot, isolate and remediate model errors

○ Work on and manage large to mid-size projects, and ensure smooth service delivery on

assigned products, engagements, and/or geographies.

○ Designing machine learning pipeline and knowledge of ML-OPS

○ Familiar in implementing solutions in Azure Cloud Framework

○ Interpret the output in the context of the client’s business and industry to identify trends and

● actionable insights

○ Be able to visualize the findings through a PPT succinctly, a BI dashboard (Tableau, Power BI,

● etc.) and highlight the key takeaways from a business perspective○ Be able to take client calls relatively independently, and interact with onsite leads (if

● applicable) on a daily basis○ Discuss queries/certain sections of the deliverable report over client calls or video conferences

Client Management:

Act as a client lead and maintain client relationships; make independent key decisions related to

client management and algorithms usedBe a part of deliverable discussions with clients over telephonic calls, and guide the project team on the next steps and way forward

Most Important Requirements:

○ Superior problem solving abilities and strong analytical thinking

○ Desire to work in a fast paced, challenging environment where you need to push yourself all the

time

○ Excellent communication skills, both written and verbal

○ Solution orientation and self-drive

Ideal Candidate:

○ 3 years of relevant advanced analytics experience in Retail, or CPG industries. Other B2C domains can be considered

○ Experience in managing, cleaning and analyzing large datasets using tools like Python

○ Experience in using multiple advanced analytics techniques or machine learning algorithms

○ Experience in handling client calls and working independently with clients

○ Understanding of consumer businesses such as Retail

○ Knowledge of working across multiple data types and files like flat files, RDBMS files; multiple

data platforms (SQL Server, Teradata, Hadoop, Spark); on premise or on the cloud

○ Candidate should have worked on Azure platform and must have strong understanding of it

○ Knowledge of advanced statistical techniques like Decision trees, different types of regressions,

clustering, Forecasting (ARIMA/X), ML, etc.

● Other Skills

○ Excellent communication skills (both written and oral)

○ Ability to create client-ready deliverables in Excel and PowerPoint

○ Optimization techniques (linear, non-linear), and knowledge of supply chain

○ VBA, Excel Macro programming, Tableau, Power BI

● Education

○ Engineers from top-tier institutes (IITs, DCE/NSIT, NITs) or Post Graduates in Maths/Statistics from top Tier Colleges/Universities

○ MBA from top-tier B-schools

Job Summary

JOB TYPE

Full Time

INDUSTRY

IT Outsourcing & Consulting

SALARY

$123k-152k (estimate)

POST DATE

03/21/2023

EXPIRATION DATE

06/24/2024

WEBSITE

quinnox.com

HEADQUARTERS

CHICAGO, IL

SIZE

1,000 - 3,000

FOUNDED

2002

CEO

ANIL KUMAR

REVENUE

$50M - $200M

INDUSTRY

IT Outsourcing & Consulting

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About quinnox

Forward-thinking companies in manufacturing, retail and distribution, and financial services are looking to Quinnox ( www.quinnox.com) for innovative solutions. As a global, mid-size IT services and consulting firm we focus on our sweet spot in agility and expertise. We've used it to help Fortune 500 companies achieve their business goals. And we can help you too! Leveraging our strategic alliances with technology product companies including SAP, Software AG, Calypso, IBM and Oracle, among others we offer collaborative, cost-effective and high value solutions to our clients. Quinnox is led by ...senior and seasoned professionals, in both business and technology, who have held key executive leadership positions in major banks, consulting groups, and technology products companies. All of us are focused on only one missionaccelerating success for our clients and employees. More
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The job skills required for Data Scientist 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. 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. Select any job title you are interested in and start to search job requirements.

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The following is the career advancement route for Data Scientist positions, which can be used as a reference in future career path planning. As a Data Scientist, it can be promoted into senior positions as a Data Scientist IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Scientist. You can explore the career advancement for a Data Scientist below and select your interested title to get hiring information.

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If you are interested in becoming a Data Scientist, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Scientist for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

Quotes from people on Data Scientist job description and responsibilities

Data scientists work closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals.

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A data scientist develops software to structure the raw data.

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Data scientist will need to meet with their business stakeholders early and often to ensure that they are on the same page about the goals and deliverables of the project.

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Data scientists may spend some of their time working on ad hoc data requests, but these types of requests should only take up a small portion of their time.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Data Scientist jobs

Analyzing data from multiple angles and searching for trends that could reveal problems or opportunities.

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Data scientists lay a solid foundation to help perform all kinds of analysis.

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Data scientists are also expected to have stronger software engineering skills that data analysts.

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Business analysts are focused on reporting, just like data analysts.

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A data scientist should understand the assumptions that need to be met for each statistical test.

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Step 3: View the best colleges and universities for Data Scientist.

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