As a Data Scientist II, you will join a dynamic team that leverages data to drive critical business decisions, with a special focus on forecasting and price optimization systems. We are seeking someone with strong experience in building predictive models and developing pricing strategies, a background in Self Storage, Multi-Family Housing, Airlines, or Hotels is highly desirable.
Your responsibilities will include understanding business problems, analyzing data, developing machine learning models, and collaborating with cross-functional teams to optimize pricing and forecasting strategies. This is a chance to join a small, growing team with a direct impact on business performance.
Principal Job Duties:
Forecasting and Price Optimization: Develop, implement, and maintain forecasting and pricing models, applying best practices in predictive analytics.
Data Exploration and Analysis: Extract data from our data warehouse, conduct exploratory data analyses, work with the reporting team to create automated dashboards, and communicate insights effectively.
Strategic Data Mapping: Collaborate with stakeholders to translate business needs into data-driven solutions, with a focus on pricing strategy and forecasting accuracy.
EDA and Feature Engineering: Collect and analyze relevant data to support model development. Create features that enhance model performance and business insights.
Model Development: Build, evaluate, and fine-tune machine learning models. Utilize techniques to optimize model performance, especially in time-series forecasting and price recommendation.
Pipeline Ownership: Manage data processing, analytic, and ML pipelines, ensuring data quality and reliable execution. Write clean, modular, and reusable code.
A/B Testing: Set up, execute, and analyze A/B tests. Interpret results and make strategic recommendations for pricing and product offerings.
Collaboration and Communication: Contribute to a positive work environment with a constructive attitude. Communicate effectively with data colleagues and other departments.
Physical Demands
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of the job. This job operates in a professional office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers and filing cabinets. While performing the duties of this job, the employee is regularly required to talk or hear. The employee frequently is required to sit, stand and walk. This position may be required to sit, stand or walk for extended periods of time.
Qualifications:
Must Have:
Forecasting Expertise: Demonstrated experience with predictive modeling, forecasting, and price recommendation systems.
Industry Knowledge: Familiarity with pricing strategies in industries like Self Storage, Mult-Family Housing, Airlines, or Hotels is highly preferred.
Technical Skills: Fluent in SQL and Python.
Data Handling: Proficient with pandas and sklearn.
Modeling: Experience in developing, evaluating, and refining machine learning models, particularly time-series forecasting models.
Visualization Tools: Familiarity with PowerBI or Tableau.
Statistical Analysis: Understanding of A/B testing and statistical methods.
Version Control: Experience with GIT.
Personal Attributes: Positive attitude, hard-working, receptive to feedback, and a willingness to learn from mistakes.
Nice to Have:
Code Quality: Experience writing modular, production-ready code.
Big Data Tools: Familiarity with Databricks and PySpark.
GIS Experience: Knowledge of GIS, especially the ArcGIS Python API.
Education and Experience
Degree: Master’s or Bachelor’s degree in a STEM discipline.
Experience: 2-6 years of relevant experience.
Benefits
100% paid medical/vision/dental for employee only plans with up to $2,400 funding towards HSA.
401(K) with employer match.
Employee Assistance Program.
A positive work culture of high integrity team members.
Opportunities for career development and training.
A healthy work life balance including quarterly wellness days.
NSA OP, LP is an equal opportunity employer. Employment and promotional decisions are made without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, genetic information or status as a covered veteran or any other basis of discrimination prohibited by applicable local, state, or federal law. No question in our application process is used for the process of limiting or excluding any applicant's consideration for employment on such grounds.
The above statements are intended to describe the general nature and level of work for the position. They are not to be construed as an exhaustive list of all the responsibilities, duties, and skills required. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed. All job descriptions are subject to change. Job functions and/or responsibilities can be amended at any time at the management’s discretion.
Compensation Range: $95,000 - $110,000
Reports to: Senior Data Science Manager
FLSA Status: Exempt
Visa sponsorship is not currently available. Only permanent residents and US citizens will be considered.