recruitingfromscratch
Data Scientist
- Compensation
- Not disclosed
- Location
- Remote, San Francisco, CA, New York, New York, Pittsburgh, PA, Seattle, WA, Los Angeles, CA, Boston, MA, Raleigh, NC, Austin, TX, Dallas, TX, Denver, Colorado, Baltimore, Maryland, Mountain View, CA, Palo Alto, CA, Washington D.C., Santa Monica, CA, Culver City, CA, Miami, FL, Portland, OR, Chicago, IL, Princeton, NJ, Cambridge, MA, Stanford, CA, Ithaca, NY, Ann Arbor, MI, Philadelphia, PA, Madison, WI, Hanover, Maryland, Atlanta, GA, Columbus, OH, Evanston, IL, West Lafayette, IN, New Haven, CT, Durham, NC, Bloomington, IN, Nashville, TN, San Diego, CA, Venice Beach, CA, Charlotte, NC, Huntsville, Alabama, Boulder, CO, Colorado Springs, CO, Trenton, NJ, Minneapolis, MN, Pleasanton, CA, Oakland, CA, Albuquerque, NM, Bozeman, MT, Cincinnati, OH, Clearwater, FL, Cupertino, CA, Detroit, MI, El Segundo, CA, Fairfield, CT, Hartford, CT, Honolulu, HI, Irving, TX, Salt Lake City, UT, Provo, Utah, Milwaukee, WI, Tucson, AZ, San Bruno, CA, Kennewick, WA, San Antonio, Texas, Wichita, Kansas, Omaha, Nebraska, Rochester, New York, Elk Grove, California, Hilliard, Ohio, Mira Mesa, California, Overland Park, Kansas, Colorado Springs, Colorado, Castro Valley, California, Littleton, Colorado, Medford, Massachusetts, Kentwood, Michigan, Livonia, Michigan, Watauga, Texas, Boston, Massachusetts, Brooklyn, NY, NYC - 2, Chicago - Loop, Cicero, Illinois, Lakeview, Illinois, Santa Barbara, CA, Waltham, MA, Frisco, TX, Santa Clara, CA, Sunnyvale, CA, Menlo Park, CA, Redwood City, CA, San Carlos, CA, Chevy Chase, DC, Bethesda, DC, Germantown, DC, Queen Anne, WA, Plymouth, Michigan, Brisbane, CA, Carmel Valley, CA, Canada - Vancouver, Canada - Toronto, Canada - Calgary, Canada - Edmonton, Canada - Ottawa, Canada - Waterloo, Canada - Victoria, Berkeley, CA, Fremont, CA, Hoboken, NY, Jersey City, NY, Los Altos, CA, Burlingame, CA, Mill Valley, CA, South San Francisco, CA, Milpitas, CA, Cleveland, OH, Fort Worth, TX, Memphis, TN, San Jose, CA, Saratoga, CA, Daly City, CA, San Rafael, CA, Emeryville, CA, El Cerrito, CA, Albany, CA, Antioch, CA, Union City, CA, Pacifica, CA, San Ramon, CA, Los Altos, Concord, CA, Concordia, CA, Hayward, CA, Foster City, CA, Dublin, CA, Hybrid, SF, CA, Newark, NJ, Andover, MA, Oxnard, CA, Torrance, CA, Torrance, Phoenix, AZ, Las Vegas, NV, Cypress, CA, Mesa, AZ, Hudson, NH, Hawthorne, CA, Flatiron, NY, Scottsdale, Arizona, Kendall Square, MA
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Full time
- Experience
- 2+ years
- Category
- Data science
- Posted
Skills
Nice to have
- Experience working in environments focused on physical goods, inventory, or logistics challenges, such as education publishing, retail, or consumer goods.
- A genuine interest in forecasting and optimization problems, with a commitment to long-term growth and mission alignment.
Full description
Data Scientist
- Title of Role: Data Scientist
- Location: Kendall Square, MA, remote
- Company Stage of Funding: Venture Round — EdTech
- Office Type: Remote
- Salary: $100K–$130K
Company Description
We're representing a leading organization in next-generation curriculum and assessment programs, dedicated to serving K–12 students and educators across the United States. Their core offerings span various subjects, designed to engage students in rigorous learning and inspire independent thinking. This mission-driven environment emphasizes the importance of analytical work, directly impacting educational outcomes at scale.
What You Will Do
- Build, maintain, and enhance forecasting models utilizing time-series approaches such as ARIMA/SARIMA and Prophet to support demand planning and inventory decisions.
- Develop and contribute to optimization models using advanced tools including XGBoost, scikit-learn, PyTorch, and tidymodels.
- Write and optimize complex SQL queries to extract, transform, and analyze large datasets effectively.
- Translate analytical findings into clear, actionable recommendations for non-technical stakeholders, focusing on business outcomes like cost savings and improved decision-making.
- Collaborate closely with engineers and cross-functional partners to integrate models into production workflows.
- Identify and pursue opportunities where data science can create measurable impacts, even in undefined areas.
Ideal Candidate Background
- 2–8 years of hands-on experience as a Data Scientist, with a focus on building and deploying models in a professional setting.
- Demonstrated experience in supply chain analytics, including inventory management, demand planning, or stockout reduction, with a strong grasp of time-series forecasting.
- Proficient in SQL, capable of writing complex queries to analyze large datasets independently.
- Strong programming skills in Python or R, with familiarity in common modeling approaches and techniques.
- Excellent analytical problem-solving skills, able to decompose vague business questions into structured analytical frameworks.
Preferred
- Experience working in environments focused on physical goods, inventory, or logistics challenges, such as education publishing, retail, or consumer goods.
- A genuine interest in forecasting and optimization problems, with a commitment to long-term growth and mission alignment.