603 IT & Software Developer jobs in the US

Bloody Blackbird jobs

Data Scientist specializing in Python and SQL

$84,344 - 126,172
Bloody Blackbird
East 95th Street, Chicago
$84,344 - 126,172
Company Size icon
Company Size
<50
Company Type icon
Company Type
Startup
Exp Level icon
Exp Level
Senior
Job Type icon
Job Type
Full-Time
Language icon
Language
English
Visa sponsorship icon
Visa sponsorship
No

Requirements

Must:
- Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related discipline. - Relevant experience as a Data Scientist or in a comparable analytical position (2-5 years preferred). - Expertise in programming languages such as Python or R, alongside proficiency with SQL. - Knowledge of machine learning techniques and data visualization platforms (e.g., Tableau, Power BI). - Strong analytical and problem-solving capabilities. - Exceptional communication and interpersonal skills.

Technologies

Machine Learning

Responsibilities

- Examine extensive datasets to uncover trends, patterns, and irregularities. - Create predictive models and algorithms to tackle business issues. - Work collaboratively with cross-functional teams to establish key metrics and KPIs. - Present findings and insights to stakeholders through reports and presentations. - Design and execute data collection methods and data management systems. - Keep abreast of industry trends and advancements in data science methodologies.

Description


At Bloody Blackbird Inc., we are an innovative technology firm committed to transforming data into actionable insights. Our focus lies in providing cutting-edge solutions that enhance business success through advanced analytics and data-driven decision-making. We are currently seeking a skilled Data Scientist to join our vibrant team, where you will utilize your analytical expertise and creative problem-solving skills to derive valuable insights from complex datasets. We offer a competitive salary, performance bonuses, comprehensive health benefits, flexible working hours, and support for continuous education and professional growth, all within a collaborative work environment.
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