13 дней назад
Junior Data Scientist (Machine Learning)
100 000 - 135 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Junior Data Scientist (Machine Learning): Developing statistical and machine learning models for detecting kinematic behaviors from live, historical, time-series, and geospatial data with an accent on feature engineering, anomaly detection, forecasting, and algorithm evaluation. Focus on creating training datasets, running simulations, integrating multi-source data, and building reliable analytics for mission-focused software capabilities.
Location: Remote within the continental United States. Must be a U.S. citizen and able to obtain CBP/DHS suitability; an active U.S. Government security clearance is required for consideration.
Salary: $100,000–$135,000 annual base pay, depending on geographic work location, qualifications, and market conditions.
Company
develops spatial intelligence and mission-focused software capabilities for operational awareness, data-driven analysis, and timely decision-making.
What you will do
- Develop statistical and machine learning models to detect kinematic behaviors using live, historical, time-series, and geospatial data.
- Design and enhance analytic solutions, including feature engineering, classifier optimization, event forecasting, and anomaly detection.
- Integrate data from multiple sources, perform cleansing and validation, and create training and test datasets.
- Select statistical analyses, scoring metrics, and machine learning algorithms to evaluate and improve existing models.
- Create analytic reports, presentations, data visualizations, and supporting documentation.
- Collaborate with software engineers, data scientists, analysts, mission partners, and customer stakeholders to deliver reliable applications and data pipelines.
Requirements
- U.S. citizenship and the ability to obtain CBP/DHS suitability are required.
- Bachelor’s degree in data science, data analytics, computer science, physics, mathematics, or a related discipline, or equivalent additional experience.
- Working knowledge of Python and libraries such as pandas, numpy, scikit-learn, matplotlib, and scipy.
- Experience processing, cleaning, or analyzing time-series or geospatial data, with familiarity with related machine learning techniques.
- Strong knowledge of statistical testing, regression, and probability.
- Familiarity with PostgreSQL, HDFS, or comparable database and data-file systems; strong verbal and written communication skills.
Nice to have
- Current Top Secret security clearance or CBP/DHS suitability.
- Experience with spatiotemporal data, algorithm performance measurement, model feasibility research, and machine learning algorithm development.
- Agile development experience with Jira, Confluence, or git.
- Experience with PyTorch, Keras, or TensorFlow.
- Experience visualizing multi-source, multidimensional data and analytic results.
Culture & Benefits
- Remote-first environment with the option to work near a facility.
- Collaborative, multidisciplinary work with mission partners and customer stakeholders.
- Rapid prototyping, iterative development, and frequent feedback focused on accuracy, reliability, and timeliness.
- Benefits include a 401(k) with company match, mental health resources, student loan repayment assistance, adoption reimbursement, and pet insurance.
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