Data Scientist

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $90k - $150k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

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LMI

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1961

📦 Logistics

🏥 Healthcare

🎖️ Defense

Logistics • Healthcare • Defense

LMI is a forward-thinking company that focuses on reimagining the path from insight to outcome through innovative solutions in various sectors, including applied AI and digital health. They provide advanced analytics, engineering support, and performance optimization across defense, health, and civilian markets, with a strong commitment to enhancing mission effectiveness for government clients. With a focus on collaboration and research, LMI aims to drive positive change through its diverse capabilities and partnerships.

📋 Description

• Design, develop, evaluate, and actively monitor statistical and time series models, including econometric approaches, forecasting demand 23–36 months into the future • Rapidly prototype and iterate on new models, methodologies, and analytical libraries • Assess the strengths and limitations of new statistical tools and methodologies • Critically evaluate data sources, modeling assumptions, and results, identifying risks, biases, and uncertainty • Monitor US passport demand, survey results, policy developments, travel, economic, geopolitical, and other trends • Explore ways to use these data to forecast impacts on passport demand • Translate complex analytical findings into clear, actionable insights for technical and non-technical stakeholders • Independently explore novel approaches while applying methodological discipline • Stay current with emerging technologies, tools, and best practices in forecasting, statistics, and data science • Explore customer needs and identify ways to add value

🎯 Requirements

• Advanced degree (PhD or Masters) from an accredited college or university in a data-related field of study • Ability to communicate well with senior leadership, peers, and staff at all levels • Advanced experience in statistical analysis and time series modeling, including econometric techniques, seasonal regression, and other statistical models • Demonstrated ability to think critically about models, data, and assumptions rather than relying on off-the-shelf solutions • Strong problem-solving skills and comfort working in ambiguous or evolving problem spaces • Ability to learn new tools, frameworks, and technologies quickly and apply them effectively • Proven track record of independent work and ownership of analytical projects • Experience in Python statistics and machine learning frameworks and libraries, including statsmodels, pandas, numpy, xgboost, scipy, and matplotlib • Experience working with STATA • Experience applying time series methods including ARIMA and VAR • Experience applying machine-learning models to time series analysis in data-poor environments • Experience applying Bayesian statistical models to time series analysis • Experience leveraging AWS cloud environments, specifically serverless technologies, for data science tasks