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Data Scientist
Eventellect Houston, TX
$102k-126k (estimate)
Full Time 2 Weeks Ago
Save

Eventellect is Hiring a Data Scientist Near Houston, TX

What are we looking for?We are looking for passionate, innovative, and driven people who want to be part of our growing company. We are actively expanding our in-house data science capabilities and are looking for a Data Scientist to develop data science-based engines to handle the end-to-end process of how we manage tickets. The perfect candidate will have a strong focus on statistics and/or machine learning, and proven experience translating real-world problem statements into mathematical/statistical models. If you want to be a dedicated member of a highly collaborative team and develop industry-leading data science capabilities, then look no further!
TitleData Scientist
Reports ToSenior Data Scientist
Responsibilities- Work with data scientists, account managers, and software developers to translate business needs of internal and external partners into data science tools
- Access/acquire data from internal and external sources as needed – primarily from relational databases (SQL), but potentially other sources as well
- Build, test, tune, and optimize statistical and/or machine learning models
- Collaborate with software development to take models to production and/or scale them as needed
- Develop necessary products (tools/visualizations/reports/dashboards) to make modeling efforts actionable
- Communicate with internal and external stakeholders on how to use data science products to drive value
Qualifications- BA, BS, or MS in an analytical discipline (e.g., Math, Statistics, Operations Research, Computer Science, Economics)
- 0-3 years of work experience
- Excellent understanding of underlying statistical and machine learning principles and their impact on the quality and robustness of predictive models
- Experience with statistical forecasting
- Experience programming with R and/or Python
- Hands-on experience writing SQL queries to extract data from relational databases
- Great problem solving and critical thinking skills
- Flexible and willing to accept changes in priorities as necessary
Preferred Qualifications- Experience in driving quantifiable improvements using statistics, mathematical modeling and/or machine learning in a professional setting
- Experience with Revenue Management (RM) models, specifically forecasting and optimization in capacity-constrained environments
- Experience with version control systems (e.g., git)
What are the perks of working at Eventellect?- Fast-growing company that’s respected in Houston (Houston Business Journal’s Best Places to Work multiple years) and nationally (INC 5000 list of fastest-growing companies 10 years in a row)
- Competitive salary plus bonus potential 
- Comprehensive benefits package, including 90% employee medical coverage, as well as dental and vision coverage, basic term life insurance and short-term disability coverage 
- 401K program including company match
- Unlimited paid vacation policy 
- $1,000 annual ticket budget to spend on sports and other live events around the country
- Offsite company events
This position will work primarily in the Houston office.

Job Summary

JOB TYPE

Full Time

SALARY

$102k-126k (estimate)

POST DATE

04/10/2024

EXPIRATION DATE

05/07/2024

WEBSITE

eventellect.com

HEADQUARTERS

HOUSTON, TX

SIZE

25 - 50

FOUNDED

2008

TYPE

Private

CEO

ANTHONY R CHASE

REVENUE

$200M - $500M

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About Eventellect

Eventellect provides inventory management and consumer shopping experience services for the sports sector.

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The job skills required for Data Scientist include Data Science, Machine Learning, Python, SQL, Computer Science, Programming, 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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Data scientists are meant to use their technology and social science skills to develop different trends and manage data wisely.

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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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