Precisely
Precisely is the leader in data integrity. We empower businesses to make more confident decisions based on trusted data through a unique combination of software, data enrichment products and strategic services. What does this mean to you? For starters, it means joining a company focused on delivering outstanding innovation and support that helps customers increase revenue, lower costs and reduce risk. In fact, Precisely powers better decisions for more than 12,000 global organizations, including 95 of the Fortune 100. Precisely's 2500 employees are unified by four company core values that are central to who we are and how we operate: Openness, Determination, Individuality, and Collaboration. We are committed to career development for our employees and offer opportunities for growth, learning and building community. With a "work from anywhere" culture, we celebrate diversity in a distributed environment with a presence in 30 countries as well as 20 offices in over 5 continents. Learn more about why it's an exciting time to join Precisely!
Overview:
Precisely PlaceIQ Data Scientists design, prototype, and test algorithms that turn hundreds of TBs of raw location data into valuable data products that are accurate and representative of real-world locations, legible to customers, and relevant to critical business applications. Our approaches include exploratory data analysis, hypothesis testing, creation of heuristics, and machine learning techniques. Working with extremely large data sets requires the design and development of highly memory- and CPU-efficient methods. We use a mixture of commercial, open source, and home-grown solutions. Experience with horizontally scaling statistical algorithms is a plus as is familiarity with Spark and/or the Hadoop ecosystem.
Our findings are built into Precisely's core data products, so the technical skills we look for are a mix of computer science, problem solving, machine learning, and statistics. We are a collaborative team and work closely with engineering, so we value the ability to get deep into the math behind algorithms. We also work closely with teams across the organization, so we look for the ability to communicate technical ideas to non-technical teams. This is a remote position.
The Senior Data Scientist role is a progression from the Data Scientist role that involves more responsibility in all dimensions. Senior Data Scientists are expected to have more impact, faster and with less oversight. They are expected to find ways to collaborate cross-functionally and to advocate for DS work within the broader organization. Senior Data Scientists also should be able to share expertise and mentor more junior team members.
What you will do:
- Explore, cleanse, and assess the quality of data for downstream processing
- Develop creative, scalable solutions for anomaly detection, classification, clustering, drawing inferences from multiple data sources, and other challenges
- Devise experiments and evaluations that test your solutions, even without the benefit of labeled ground-truth data
- Create functional and technical documentation of your work
- Collaborate with engineering teams to productionize prototypes
- Communicate results to teams within Precisely and customers
- Find creative solutions to business problems and develop them into data products
- Own and drive high-impact projects with minimal guidance
We are committed to career development for our employees and offer opportunities for growth, learning and building community. With a "work from anywhere" culture, we celebrate diversity in a distributed environment with a presence in 30 countries as well as 20 offices in over 5 continents. Learn more about why it's an exciting time to join Precisely!
What we are looking for:
- Masters or PhD in a quantitative field and 2+ years experience in a data science role; OR 4+ years experience in a data science role
- The ability to communicate the value of complex technical work to both technical and non-technical audiences
- Deep knowledge of machine learning techniques like clustering, classification, segmentation, and time series analysis; experience developing standard models into customized solutions for real-world data problems
- Knowledge of big data technologies (e.g., Spark, Hadoop, etc.)
- Proven success applying data science and machine learning techniques to business problems
- Experience working on cross-functional teams
- Strong coding and problem-solving skills, allowing you to quickly get to the heart of questions and develop insights about data
- Intellectual curiosity, a drive to understand unexplored datasets, and experience ideating solutions to novel problems
- Knowledge and skillset to use generative AI tools judiciously and appropriately in your workflow
