Full-Time

Data Scientist

Confirmed live in the last 24 hours

ShyftLabs

ShyftLabs

11-50 employees

Data-driven decision-making solutions for organizations

Data & Analytics
Consulting

Senior

Remote in USA

Fully remote anywhere within the United States.

Category
Data Science
Data & Analytics
Required Skills
Python
Data Science
R
SQL
Pandas
Data Analysis
Requirements
  • Master's degree in a quantitative discipline or equivalent.
  • 5+ years minimum of relevant professional experience.
  • Distinctive problem-solving skills, good at articulating product questions, pulling data from large datasets and using statistics to arrive at a recommendation.
  • Excellent verbal and written communication skills, with ability to present information and analysis results effectively.
  • Ability to build positive relationships within ShyftLabs and with our stakeholders, and work effectively with cross-functional partners in a global company.
  • Statistics: must have strong knowledge and experience in experimental design, hypothesis testing, and various statistical analysis techniques such as regression or linear models.
  • Machine Learning: must have deep understanding of ML algorithms (i.e. deep learning, random forest, gradient boosted trees, k-means clustering, etc.) and its development, validation, and evaluation.
  • Programming: experience with Python, R or other scripting language, and database language (e.g. SQL) or data manipulation (e.g. Pandas).
Responsibilities
  • Data Analysis and research: analyzing a large dataset with queries and scripts, extracting valuable signals out of noise, and producing actionable insights into how we could complete and improve a complex ML and bidding system.
  • Simulation and Modelling: validating and quantifying the efficiency and performance gain from hypotheses through rigorous simulation and modelling.
  • Experimentation and Causal Inference: developing a robust experiment design and metric framework, and providing reliable and unbiased insights for product and business decision making.

ShyftLabs helps organizations adopt a data-first approach to their decision-making processes. Their services focus on establishing systems that enable companies to make quicker and more informed decisions based on data analysis. This approach allows businesses to gain insights that can keep them ahead of their competitors. Unlike other companies that may offer generic consulting services, ShyftLabs emphasizes the importance of data in driving decisions, ensuring that organizations can leverage their data effectively to enhance their strategic planning and operational efficiency.

Company Stage

N/A

Total Funding

N/A

Headquarters

null, Canada

Founded

2018

Growth & Insights
Headcount

6 month growth

7%

1 year growth

7%

2 year growth

7%
Simplify Jobs

Simplify's Take

What believers are saying

  • Working at ShyftLabs offers the opportunity to be at the forefront of data-driven innovation, which is highly valued in today's market.
  • Employees can gain experience in developing and implementing processes that significantly impact organizational decision-making and competitiveness.

What critics are saying

  • The emphasis on data-first approaches may require continuous adaptation to new data technologies, which can be challenging.
  • The competitive landscape for data-driven solutions is crowded, making it essential for ShyftLabs to continuously innovate to maintain its edge.

What makes ShyftLabs unique

  • ShyftLabs emphasizes a data-first approach, setting it apart from competitors who may not prioritize data-driven decision-making.
  • The company's focus on establishing processes for faster and more insightful decisions provides a competitive edge in a fast-paced business environment.

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