Who We Are:
Factored (an AI Fund Portfolio company) was conceived in Palo Alto, California by Andrew Ng and a team of highly experienced AI researchers, educators, and engineers to help address the significant shortage of qualified AI & Machine-Learning engineers globally. We know that exceptional technical aptitude, intelligence, communication skills, and passion are equally distributed around the world, and we are very committed to testing, vetting, and nurturing the most talented engineers for our program and on behalf of our clients.
We are currently looking for an exceptionally talented Data Analyst to join our team. You will be responsible for conducting data description and analysis for our several clients. Since you’ll be working with an early-stage startup, you’ll need to be able to wear multiple hats and thrive while working in a dynamic environment.
What You Will Be Doing:
- Analyze several datasets and gather insight’s using descriptive modeling as well as using novel visualization techniques.
- Conduct quantitative evaluation of several datasets to give actionable insights to our clients as well as our internal teams.
- Working close to customers and engineering teams understanding their needs and being able to consume data pipelines or data from different sources to solve customer’s business related questions/challenges.
What You Must Bring:
- General coding using any language preferably Python or R. You should be able to code non-trivial functions in object-oriented programming.
- Mathematics (including probabilities and statistics.) You should be able to use mathematical notation and linear algebra (matrix/vector operations, dot products, etc.), and understand basic probability theory (distributions, independence, density functions, etc.) as well as statistics (mean, variance, median, quantiles, co-variance, etc.)
- Experience consuming datasets from an APIs, ETL, databases or web scraping process.
- You should be able to take a dataset cleaning it if necessary and analyzing it statistically.
- Experience using visualization dashboards such as Power BI, Tableau and visualization libraries using HTML templates.
- A degree in computer science, statistics, operations research, mathematics, or in a specific discipline including educational measurement, workforce readiness and skills development is a big plus.
- Strong written and oral communication in English.
Nice To Have:
- Experience working with startups from an early stage.
- Experience handling Excel Plugins and integrations with languages such as python or R.
- You are able to understand major machine learning methods.
- MSc, PHd in computer science, statistics, mathematics, operations research or related fields.
- Accountability: an obligation or willingness to accept responsibility or to account for one's actions while doing so with the highest regard for integrity.
- Leadership: able to influence others to follow you and lead the team to a brighter future.
- Grit: Ability to perform well and remain level-headed under stress or pressure.
- Scrappy: Takes initiative and proactively gets things done with low resources, but doing creative things, begging, borrowing, and whatever is needed in an ambiguous environment or situation.
- Ownership Orientation: Demonstrated orientation of extreme ownership over all aspects of the company and extremely results-driven in nature.
At Factored, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. AI Fund believes that diversity and inclusion among our employees is critical to our success as a company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. Selection for employment is decided on the basis of qualifications, merit, and business need.