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Director Data Analyst Machine Learning Jobs in Colorado

bet365

Python Data Analyst

Denver, CO

$65K - $75K/yr

As a Python Data Analyst, you will work with our Trading department to analyze complex datasets ... Experience with Google Cloud, BigQuery, financial markets, fintech, Linux and Machine Learning ...

bet365

Python Data Analyst

Denver, CO · On-site

$65K - $75K/yr

As a Python Data Analyst, you will work with our Trading department to analyze complex datasets ... Experience with Google Cloud, BigQuery, financial markets, fintech, Linux and Machine Learning ...

Cymertek

Data Analyst

Aurora, CO

Familiarity with machine learning * Understanding of ETL processes * Experience with big data ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...

Ibotta

$206K - $230K/yr

Ibotta is seeking a Staff Machine Learning Engineer to join our Core Data & Analytics team and contribute to our mission to Make Every Purchase Rewarding. We're looking for someone who has a passion ...

Prologis

Program Director, Data & Analytics

Denver, CO · On-site +1

Program Director, Data & Analytics Company: Prologis A day in the life As Program Director of Data & Analytics, you will help the organization turn data into action in an AI-first world. You will ...

Quizlet

Machine Learning Engineer

Denver, CO · On-site

$205K - $316.40K/yr

Partner with Product, Engineering, and Data teams to define problems and deliver solutions ... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ...

Cymertek

Data Scientist

Aurora, CO

SIMILAR CAREER TITLESData Analyst, Machine Learning Engineer, Data Engineer, Business Intelligence ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...

JLL

Senior Data Analyst

Boulder, CO

$89.20K - $112.50K/yr

Experience building and deploying Machine Learning models This position does not provide visa ... Please direct any other general recruiting inquiries to our Contact Us page > I want to work for ...

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Director Data Analyst Machine Learning information

What is the difference between Director Data Analyst Machine Learning vs Data Scientist?

AspectDirector Data Analyst Machine LearningData Scientist
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; experience in machine learningBachelor's or Master's in Data Science, Statistics, Computer Science; strong programming skills
Work EnvironmentLeads teams, manages projects, strategic planningHands-on data analysis, model development, experimentation
Employer & Industry UsageTech companies, finance, healthcare, retailResearch institutions, tech firms, consulting

The main difference is that the Director Data Analyst Machine Learning oversees teams and strategic initiatives, while Data Scientists focus on developing models and analyzing data directly. The director role emphasizes leadership and project management, whereas data scientists are more hands-on with technical tasks.

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What are popular job titles related to Director Data Analyst Machine Learning jobs in Colorado? For Director Data Analyst Machine Learning jobs in Colorado, the most frequently searched job titles are:
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Director Data Analyst Machine Learning jobs near you

Python Data Analyst

bet365

Denver, CO

$65K - $75K/yr

Full-time

Posted 10 days ago

Bet365 rating

9.7

Company rating: 9.7 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

1st of 15 rated gambling companies

Job description

Company Description

At bet365, we're one of the world's leading online gambling companies, revolutionising the industry since 2000. Founded by Denise Coates CBE, we now employ over 9,000 people and serve over 100 million customers in 27 languages. Our focus on In-Play betting has solidified our market-leading position, offering an unmatched experience across 96 sports and 700,000 streaming events. With over 750 concurrent sporting fixtures at peak and more live sports streamed than anyone else in Europe, we handle over 6 billion HTTP requests daily and process more than 2 million bets per hour at peak.

We empower our employees to push boundaries and explore new ideas, cultivating a culture that celebrates and rewards creativity. This offers employees a wealth of opportunities for growth, giving them the opportunity to make a real impact in the world of online gambling. As a forward-thinking company, we're breaking new ground in software innovation too, redefining what's possible for our customers worldwide.

Job Description

As a Python Data Analyst, you will work with our Trading department to analyze complex datasets, develop insights, and drive data-driven decision-making across the Business.

The Trading department plays a vital role in offering enticing sports betting options across all markets to the US customer base, monitoring the product, and supporting any real time trading issues.

Using your technical ability, statistical knowledge, and data visualization techniques, you will work closely with management to implement reporting structures and data-driven solutions that enhance our products.

This is an exciting opportunity for aspiring data scientists to gain hands-on experience and apply their skills to implement impactful solutions.

The salary range for this position is $65,000-$75,000 annually.

Qualifications
  • Degree in Computer Science, Statistics, Mathematics, Economics or similar field of study.
  • Proficient in Python and SQL languages is essential.
  • Basic understanding of data science principles and methods.
  • Ability to deliver solutions through quantitative research, using multiple data sources.
  • Self-motivated to research and deliver change within the department.
  • Strong analytical and problem-solving skills
  • Ability to effectively communicate with staff throughout the operation, up to and including key stakeholders and senior management.
  • Experience with Google Cloud, BigQuery, financial markets, fintech, Linux and Machine Learning toolkits.
Additional Information
  • Collecting, processing, and analyzing large datasets using various tools and techniques.
  • Developing and maintaining dashboards and other data products.
  • Instilling accurate and effective reporting channels.
  • Presenting research and analysis in a clear and concise manner.
  • Assisting in the creation and implementation of rules-based or Machine Learning models.
  • Collaborating with cross-functional teams to identify Business problems and propose data-driven solutions.

bet365 provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

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