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Staff Data Scientist

Correlation One

Software & Data

IT & Telecoms UGX Confidential
New
3 weeks ago

Job Summary

As a Staff Data Scientist, you will lead the initiative to build and scale our machine learning and generative AI capabilities. You’ll act as the expert in designing robust ML models and AI systems.

  • Minimum Qualification: Bachelors
  • Experience Level: Senior level
  • Experience Length: 7 years

Job Description/Requirements

Correlation One is an education technology company who is building the workforce development platform of the future.

We close skill gaps for enterprises, governments and individuals, while empowering disenfranchised segments of the workforce. By providing training-to-job programs that are 100% free for learners, we eliminate traditional barriers to opportunities. We are committed to helping enterprises like Amazon, Walmart, Prudential, Citadel, Citi, Johnson & Johnson, Target, Morgan Stanley, EY and others reskill their workforces to prepare them for the jobs of tomorrow. We build community-oriented, jobs-first learning experiences that offer a human touch and leverage technology to create best-in-class outcomes for everyone.


Each program is taught by industry leaders and experts, professors and teaching assistants, delivered virtually to cohort-based learning communities. We currently run over 12 types of programs for 12,000+ learners each year in 10+ countries, and we plan to grow 5-10x in the next two years.

Correlation One is proud to be ranked #6 in LinkedIn’s Top Startups 2022 list and a Fast Company’s World Changing Idea winner. Join us as we build the workplace development platform of the future!


Your impact:

As a Staff Data Scientist, you will lead the initiative to build and scale our machine learning and generative AI capabilities. You’ll act as the expert in designing robust ML models and AI systems. Your responsibilities will include designing guidelines and frameworks to assess AI risks and implement bias mitigation strategies across all projects. You’ll provide mentorship to other data scientists and engineers, guiding them in applying best practices in AI model development and deployment. Collaborate with internal architects and engineering teams to create seamless data flows that support complex ML model training and inference.


A Day In the Life:

  • Architect and build scalable machine learning solutions and AI applications
  • Design and implement reliable, reusable frameworks and abstractions to standardize AI model development.
  • Engage in hands-on development, from model prototyping to deploying scalable AI systems.
  • Lead efforts to ensure that AI models and data practices uphold ethical standards, including fairness, transparency, and accountability.
  • Work closely with product managers and business stakeholders to translate business challenges into data-driven projects that deliver measurable outcomes.
  • Mentor junior data scientists and foster a culture of technical excellence.
  • Stay updated and educate the team on the latest trends in AI and machine learning technologies.


Your Expertise:

  • 7+ years of experience in Data Science or Machine Learning roles, with a focus on building and deploying large-scale machine learning models.
  • Strong expertise in Python, or Java or similar scripting languages, and familiarity with frameworks like PyTorch, Keras, TensorFlow, or JAX.
  • Proven track record of working with large datasets and complex data architectures in a cloud environment, specifically GCP.
  • Proficient in applying machine learning algorithms, or statistical analysis to uncover hidden patterns and insights from data.
  • Experience with Vertex AI and other GCP services such as BigQuery, Dataflow, and AI Platform.
  • Proficient in developing and maintaining ML pipelines, and understanding of MLOps principles including model monitoring and versioning.
  • Advanced SQL skills and experience with both relational and non-relational databases.
  • Knowledge in using BI tools like Tableau or PowerBI for data visualization and dashboards.
  • Demonstrated ability to work in an agile environment, applying methodologies like Scrum or Kanban.


Where you are

  • This role is remote and can be located anywhere that is compatible with EST time zone. We are headquartered in New York City and have office space in Midtown Manhattan.


How we support our people

  • Insurance or subsidies based on country
  • Retirement plan based on country
  • Unlimited Time Off, with a minimum time off recommendation
  • 10 company-paid holidays
  • Official company-wide holiday for the last week of the calendar year
  • Access to free data skills training through our programs
  • A company culture that empowers individuals and embraces diversity through its core mission

The compensation range for this position is specific to location and takes into account the wide range of factors that are considered in making compensation decisions. These factors include (but are not limited to) location, experience, education and skill sets.


Correlation One’s Commitment

Correlation One is proud to be an Equal Opportunity Employer and is committed to providing equal opportunity for all employees and applicants. Correlation One provides a work environment free of discrimination and harassment. Employment decisions at Correlation One are based solely on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, or any other status protected by the laws or regulations in the locations where we operate. We encourage applicants to bring their unique skills, experiences, and outlook to our work environment.


Correlation One is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Correlation One strives to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process.

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