Associate Data Scientist I

**Associate Data Scientist I
**Who we are**:
Born digital, UST transforms lives through the power of technology. We walk alongside our clients and partners, embedding innovation and agility into everything they do. We help them create transformative experiences and human-centered solutions for a better world.

UST is a mission-driven group of over 29,000+ practical problem solvers and creative thinkers in over 30+ countries. Our entrepreneurial teams are empowered to innovate, act nimbly, and create a lasting and sustainable impact for our clients, their customers, and the communities in which we live.

With us, you’ll create a boundless impact that transforms your career—and the lives of people across the world.

**You Are**:
UST is searching for an Associate Data Scientist I who will develop data-driven solutions for difficult business challenges. Utilizing analytical, statistical, and programming skills to collect, analyze, and interpret large data sets, with supervision.

**The Opportunity**:

- This is an independent contributor role from day 1 and should be able to work at the client site from day 1
- Work with stakeholders throughout the organization to identify opportunities for leveraging data from our customers to create models that can generate business insights
- Build predictive models and machine learning algorithms to analyze large amounts of information to discover trends and patterns.
- Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques, business strategies, etc.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
- Coordinate with different functional teams to implement models and monitor outcomes.
- Set FAST goals and provide feedback on the FAST goals of reportees

This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required.

**What you need**:

- 5+ years of experience in developing scalable distributed machine learning systems
- Should be extremely good at communication and be able to manage conflicts constructively and proactively
- Should be self-driven and be able to take ownership of tasks end to end
- Should have a researcher's attitude
- 5+ years of experience in developing and deploying machine learning models and algorithms for time series data analysis, e.g., anomaly detection and forecasting.
- Expertise in Python programming and machine learning libraries such as PyTorch, Scikit-learn, and Pandas.
- Strong understanding of time series models such as ARIMA, SARIMA, Prophet, and LSTM, and experience in building custom models.
- Experience with anomaly detection techniques:

- Python, machine learning libraries such as PyTorch, Scikit-learn, and Pandas
- Models: ARIMA, SARIMA, Prophet, and LSTM
- A master’s degree in business or a technical discipline (Computer Science, Information Systems, Engineering) is required.

**What we believe**:
We’re proud to embrace the same values that have shaped UST since the beginning. Since day one, we’ve been building enduring relationships and a culture of integrity. And today, it's those same values that are inspiring us to encourage innovation from everyone to champion diversity and inclusion and to place people at the center of everything we do.

**Humility**:
We will listen, learn, be empathetic, and help selflessly in our interactions with everyone.

**Humanity**:
Through business, we will better the lives of those less fortunate than ourselves.

**Integrity**:
We honor our commitments and act with responsibility in all our relationships.

**Equal Employment Opportunity Statement
**UST is an Equal Opportunity Employer.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.