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1mo ago

Data Scientist II, Client Analysis

Socure Tysons, VA 📍 USA Remote

Tysons, VA

1mo ago Closed

$150k - $185k/yr Full time Advanced Analytics Big Data Data Analysis

This position is no longer accepting applications (closed Oct 17, 2026).

Job Description

Socure is hiring a Data Scientist II for its Data Science, Client Analysis team, working remotely across the USA.

Responsibilities

Analyze large-scale customer data to generate actionable insights
Explain model performance and describe how Socure can help customers build optimal risk management policies
Serve as a Data Science advocate by understanding Socure solutions (products, models, and algorithms) and customers’ risk challenges
Create data stories that demonstrate how Socure can help customers eliminate identity fraud, streamline the end-user experience, and support risk management holistically
Provide thought leadership and act as the customer voice in building the next generation of Socure’s core models and product
Build tools and automated workflows to improve analysis speed, accuracy, and reproducibility
Partner with GTM teams (Sales, Solution Consultants, Account Managers, and Technical Account Managers) to develop analysis approaches and identify upsell opportunities and product optimizations
Build ML models when exploring alternative approaches versus production-established models is advantageous

Requirements

Degree in a quantitative field, or equivalent work experience (advanced degree preferred)
2+ years of experience in data science, data analysis, or analytics engineering
Strong theoretical and practical understanding of state-of-the-art supervised and unsupervised machine learning methods
Clean, performant Python coding experience, plus 2+ years working with massive real-life datasets
Experience querying relational databases using SQL
Experience with cloud tools and technologies such as AWS, Azure, Databricks, or GCP
Ability to communicate insights through data storytelling (dashboarding, interactive data stories, actionable presentations)
Experience explaining complex algorithms and analyses (ML/AI models) to non-technical audiences
Strong verbal and written communication skills, comfortable delivering presentations with clear, complete messages
Thrives in a remote startup environment with a focus on setting goals and accountability
Experience in identity verification and fraud prevention (strongly preferred)

Tools and Technologies

Python, PySpark, Pandas, NumPy
H2O, SHAP, Seaborn, Jupyter
SQL, Redshift, Snowflake
S3, Databricks, Apache Spark, Apache Arrow, Amazon EMR
Airflow, SFTP/PGP, webhook data, Git
Tableau, Looker
JSON, transformers, clustering, graph analytics, LLM/agentic workflows

Compensation

USD 150,000 - 185,000 per year

Equal Opportunity Employer

Socure values diversity in all forms
Accommodations are available during the application or hiring process, including interview or onboarding support; contact your Socure recruiting partner directly

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1mo ago

Sr Data Scientist

PECO Philadelphia, PA

Philadelphia, PA

1mo ago Closed

$104k - $156k/yr Full time Artificial Intelligence Cloud Platform Data Analysis

This position is no longer accepting applications (closed Oct 17, 2026).

Job Description

This role applies the scientific method to extract insights from large-scale data to support business decisions and operational improvements. You will build predictive models and advanced analytics capabilities across structured, unstructured, and time-series datasets, working closely with internal stakeholders.

Key Responsibilities

Develop key predictive models aimed at improving customer experience, operating performance, and safety best practices.
Design and recommend data sampling techniques, data collection approaches, and data cleaning specifications.
Apply missing data treatments as needed (25%).
Use advanced analytics to support process improvement efforts using modern analytics frameworks (15%), including Python, R, Scala, or equivalent; and Spark, Hadoop file system, and related technologies.
Access and analyze data from multiple Company systems of record to support strategic business, marketing, and program implementation plans (15%).
Access and enrich data warehouses across multiple Company departments, and build, modify, monitor, and maintain high-performance computing systems (5%).
Provide expert data and analytics support to multiple business units (20%).
Partner with stakeholders and subject matter experts to understand business needs, goals, and objectives, and translate data-intensive business problems into data science projects.
Collaborate with other analytics teams across Exelon to apply big data analytics techniques and tools that improve analytical capabilities (20%).
Mine big and small data for insights using advanced statistical and machine learning methods, including time-series (smart-meters, smart-grid, and other IoT), structured (relational data stores), and unstructured (text and multimedia).
Validate findings with business stakeholders and share analysis outputs in a format they can understand.
Serve as a subject matter expert in artificial intelligence, machine learning, feature engineering, data mining, and data manipulation/storage.
Collect, cleanse, standardize, and analyze data from internal and external sources.
Produce novel insights using statistical modeling and machine learning for complex datasets on the order of several terabytes or petabytes.
Support business unit strategic planning with a strategic view of machine learning technologies.
Advise key stakeholders on machine learning findings and recommend courses of action to redirect resources and address emerging operational and business issues.
Educate stakeholders on advanced analytics capabilities through internal presentations, training workshops, and publications.
May be required to work extended hours for coverage during storms or other energy delivery emergencies.

Required Qualifications

Bachelor’s degree in a Quantitative discipline (examples include Applied Mathematics, Computer Science, Finance, Operations Research, Physics, Statistics, or related field).
4 to 7 years of relevant experience developing hypotheses, applying machine learning algorithms, validating results, analyzing multi-terabyte datasets, and extracting actionable insights.
Previous research or professional experience applying advanced analytic techniques to large, complex datasets.
Strong knowledge in at least two areas: machine learning, artificial intelligence, statistical modeling, data mining, information retrieval, or data visualization.
Proven experience developing and deploying predictive analytics projects using one or more leading languages (Python, R, Scala, etc.).
Experience working within an open source environment and Unix-based OS.
Ability to translate data analysis and findings into coherent conclusions and actionable recommendations for business partners, practice leaders, and executives.
Strong oral and written communication skills.

Technology Stack

Python, R, Scala
Spark, Hadoop file system
Unix-based OS
Azure
SQL
Data warehouses
High-performance computing systems
Machine learning, artificial intelligence
Feature engineering, data mining
Data manipulation/storage
Statistical modeling

Compensation and Benefits

Annual salary range: USD 104,000 to 156,000 per year (final annual salary varies based on skills, qualifications, experience, and other factors, including $104,000.00/Yr. to $143,000.00/Yr. as listed).
Annual bonus for eligible positions: 15%.
401(k) match and annual company contribution.
Medical, dental, and vision insurance.
Life and disability insurance.
Generous paid time off options, including vacation, sick time, floating and fixed holidays, maternity leave and bonding/primary caregiver leave, or parental leave.
Employee Assistance Program and resources for mental and emotional support.
Wellbeing programs including tuition reimbursement, adoption and surrogacy assistance, and fitness reimbursement.
Referral bonus program.
And much more.

Preferred Qualifications

Provide senior oversight for apprentice program.
Masters or PhD in a Quantitative discipline (examples include Data Science, Data Analytics, Applied Mathematics, Computer Science, Finance, Operations Research, Physics, Statistics, or related field).
Experience with data structures related to smart-meters, billing, or outage management systems.
Prior exposure to the utilities or broader energy sector.
Prior exposure to the full data science lifecycle, including data acquisition, maintenance, processing, analysis, and communication.
Strong understanding of relevant theories in machine learning, statistics, probability theory, data structures and algorithms, optimization, and related areas.
Expert level coding skills (Python, SQL, etc.) and experience developing in the Azure environment.
Proficiency in database management and working with large datasets to create, edit, update, join, append, and query data from columnar and big data platforms.
Ability to translate executive and analytics leaders’ vision and guidance into methods and analytics.
Strong time management and presentation skills.

Additional Information

Exelon-sponsored compensation and benefit programs may vary or not apply based on length of service, job grade, job classification, or represented status. Eligibility is determined by the written plan or program documents.

Role Details

Location: Philadelphia, PA (onsite)
Minimum experience: 4 years

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1mo ago

Analytics Data Scientist

BRMi Vienna, VA

Vienna, VA

1mo ago Closed

$100k - $122k/yr Full time Artificial Intelligence Business Analytics Customer Analytics

This position is no longer accepting applications (closed Oct 17, 2026).

Job Description

BRMi is seeking an Analytics Data Scientist to help improve customer experience through data-driven problem solving. This role combines exploratory analysis, statistical methods, experimentation, behavioral analytics, and fit-for-purpose modeling to produce actionable insights for digital experiences.

Based in Vienna, VA (hybrid), the position supports work across customer digital behavior, product adoption and engagement, and Voice of the Customer (VoC) research using multiple feedback sources. The role is structured as a W2 opportunity only and requires an in-person interview.

What You’ll Do

Analyze customer digital behavior using Python and SQL.
Run exploratory data analysis to uncover patterns in product adoption, engagement, and customer experience.
Collaborate with business stakeholders and product teams to identify and address digital experience challenges.
Develop, automate, and maintain analytical solutions that deliver actionable business insights.
Use analytical and statistical methods to understand customer behavior, evaluate digital experiences, identify emerging trends, and support data-driven decisions.
Apply text analytics, NLP, and AI-assisted techniques to summarize and classify customer feedback, detect sentiment, and surface recurring themes and friction points.
Conduct VoC research by analyzing app reviews, surveys, contact center interactions, social media, and other digital feedback sources.
Translate findings into clear recommendations, dashboards, presentations, and data stories for business and executive audiences.
Perform other duties as assigned.

Skills and Qualifications

Education: Bachelor’s degree in data science, business analytics, statistics, applied mathematics, economics, or another quantitative/analytical field.
Experience: 1–5 years of experience in data science, business intelligence, analytics, statistical analysis, or related project work.
Proficiency in SQL (data extraction and analysis) and Python (data preparation, exploratory analysis, statistical analysis, and modeling); R is beneficial.
Experience applying analytical and statistical methods including EDA, hypothesis testing, regression, forecasting, segmentation and clustering, experimentation, NLP, or sentiment analysis to real-world business problems.
Ability to communicate insights into recommendations or measurable outcomes for both technical and non-technical stakeholders.
Experience working in notebook-based analytical environments.
Strong curiosity and the ability to quickly learn new analytical methods and technologies.
Excellent communication and data storytelling skills.
Preferred: Master’s degree in a related quantitative/analytical field; experience analyzing customer behavior, digital products, customer feedback, or customer experience; experience presenting to executive audiences and developing decision-support materials; knowledge of financial services or digital banking products; advanced SQL and Python skills.

Technologies

Python
SQL
R
NLP

Compensation and Employment Details

Salary: USD 100,000–122,000 per year
Location: Vienna, VA (hybrid)
Interview requirement: An in-person interview will be required
Work authorization: BRMi will not sponsor applicants for work visas for this position
Employment type: W2 opportunity only

Benefits

Comprehensive Medical, Dental, and Vision Insurance
Employer-Paid Life Insurance
Employer-Paid Short-Term and Long-Term Disability Insurance
401(k)
Paid Time Off (PTO) including Vacation Leave, Sick Leave, and 11 Paid Holidays
Educational Assistance

EOE/MINORITIES/FEMALES/VET/DISABLED: BRMi is an equal opportunity employer with diversity and nondiscriminatory employment policies.

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1mo ago

Data Scientist - Subject Matter Expert

Noblis Reston, VA

Reston, VA

1mo ago Closed

$177k - $276k/yr Full time Adversarial Ml Ai Ml Artificial Intelligence

This position is no longer accepting applications (closed Oct 17, 2026).

Job Description

Noblis is seeking a Data Scientist to serve as a subject matter expert in support of a government contracting program focused on advanced sensing, autonomous systems, and AI/ML. This onsite role in Reston, VA 20191 centers on validating machine learning performance, hardening models against adversarial threats, and advising on autonomous systems integration.

Key Responsibilities

Design, develop, and execute AI/ML validation and testing frameworks to evaluate model performance, robustness, and operational reliability across cross-domain remote sensing applications.
Lead data curation and feature engineering pipelines, converting raw multi-source sensor data into high-quality, mission-ready datasets aligned to machine learning workflows.
Conduct adversarial attack research and optimization to identify system vulnerabilities and support development of countermeasures that strengthen models against adversarial exploitation.
Use advanced AI/ML techniques to support enhanced characterization of sensor systems, improving detection, classification, and identification capabilities across operational domains.
Develop and contribute to analysis tools and software that support intelligence workflows, sensor data exploitation, and decision-support applications.
Perform uncertainty analysis on AI/ML model outputs, quantifying confidence levels and communicating risk to both technical and non-technical government stakeholders.
Provide SME-level guidance on autonomous systems integration, including advice on AI architecture, algorithm selection, and system-level performance evaluation.

Required Qualifications

Master’s degree or PhD in Data Science, Computer Science, Electrical Engineering, Applied Mathematics, or a closely related technical field.
10+ years of experience in data science or machine learning, including demonstrated expertise supporting U.S. government or defense/intelligence community programs.
Hands-on experience with AI/ML validation, testing, and adversarial robustness methodologies in operational or near-operational environments.
Strong proficiency in Python, R, or equivalent languages, with experience using TensorFlow, PyTorch, or scikit-learn.
Demonstrated experience with remote sensing data types such as EO/IR, SAR, and multi/hyperspectral, along with associated exploitation techniques.
Practical knowledge of uncertainty quantification methods and statistical analysis applied to sensor or intelligence data.
US Citizen with an Active Top Secret / SCI security clearance.

Technologies

Python
R
TensorFlow
PyTorch
scikit-learn

Benefits

Health, life, disability, financial, and retirement benefits
Paid leave
Professional development
Tuition assistance
Work-life programs
Award programs recognizing employees for exceptional performance and superior demonstration of service standards
Full-time and part-time employees working at least 20 hours per week on a regular basis are eligible to participate in benefit programs

Desired Qualifications

Preferred experience with rapid capability development and acquisition, relevant military operations, or technology transition from R&D to fielding.

Role Details

Location: Reston, VA 20191 (onsite)
Experience: 10+ years
Salary Range: USD 176,800 - 276,250 per year (USD $176,800.00 - USD $276,250.00 /Yr.)
Employment Type: Full-time (with benefit eligibility for certain part-time schedules working at least 20 hours per week)

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1mo ago

Data Scientist I

VTG Chantilly, VA

Chantilly, VA

1mo ago Closed

Full time Analytics Data Data Analysis

This position is no longer accepting applications (closed Oct 17, 2026).

Job Description

VTG is hiring a Data Scientist I to support government and program teams from its office in Chantilly, VA in an onsite capacity. In this role, you will contribute to data analysis, visualization, and reporting tasks while working under senior supervision.

The position focuses on strengthening data readiness, assisting with exploratory analysis, and helping deliver clear analytical artifacts that teams can use for decision-making and collaboration.

Responsibilities

Support the collection, cleaning, and preparation of structured and semi-structured data
Assist with exploratory data analysis and basic statistical assessments
Develop simple dashboards, visualizations, and analytical summaries
Support documentation of data sources, assumptions, and methodologies
Participate in analytic working groups and technical discussions
Assist with maintaining data pipelines, scripts, and analysis artifacts
Support coordination between data engineers, analysts, and mission stakeholders

Requirements

TS/SCI with Poly Required
1-4 years of experience supporting data analysis or analytics projects
Familiarity with Python, R, SQL, or similar analytical tools
Familiarity with tools such as Jupyter, Tableau, Power BI, or similar
Basic understanding of statistics and data visualization
Strong analytical and communication skills
Bachelor’s Degree in Data Science, Statistics, Mathematics, Computer Science, or related field

Technologies

Python
R
SQL
Jupyter
Tableau
Power BI

Preferred Qualifications

Experience supporting federal, DoD, or IC programs
Exposure to mission, operational, or enterprise data sets
Familiarity with tools such as Jupyter, Tableau, Power BI, or similar

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1mo ago

Data Scientist II

VTG Chantilly, VA

Chantilly, VA

1mo ago Closed

Full time Analytics Artificial Intelligence Data

This position is no longer accepting applications (closed Oct 17, 2026).

Job Description

VTG seeks a Data Scientist II in Chantilly, VA (onsite) to deliver independent data analysis and modeling that supports mission outcomes.

Responsibilities

Analyze large and complex datasets to uncover trends, patterns, and actionable insights
Develop and apply statistical models or machine learning techniques as appropriate
Design and maintain dashboards, visualizations, and other analytic products
Convert mission or business questions into analytic approaches and outputs
Validate data quality, assumptions, and model results
Present findings and recommendations to technical and non-technical stakeholders
Support the integration of analytics into operational or decision-support workflows

Requirements

TS/SCI with Poly required
5-9 years of experience in data analytics or data science roles
Strong proficiency with Python or R and SQL
Experience performing statistical analysis, modeling, or machine learning
Strong written and verbal communication skills
Bachelor’s Degree in Data Science, Statistics, Mathematics, Computer Science, or related field
Preferred qualifications: Experience supporting IC, DoD, or DOJ mission programs; experience working with operational, intelligence, or enterprise data; familiarity with cloud-based analytics environments; experience with Agile delivery environments

Technologies

Python
R
SQL

This position is contingent upon contract award.

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1mo ago

Data Scientist III

VTG Chantilly, VA

Chantilly, VA

1mo ago Closed

Full time Analytics Data Data Analysis

This position is no longer accepting applications (closed Oct 17, 2026).

Job Description

VTG seeks a Data Scientist III for an onsite role in Chantilly, VA, independently delivering analysis and modeling that supports mission outcomes.

Responsibilities

Analyze large and complex datasets to uncover trends, patterns, and actionable insights
Develop and apply statistical models or machine learning techniques based on mission needs
Design and maintain dashboards, visualizations, and analytic products
Convert mission and business questions into appropriate analytic approaches and deliverable outputs
Validate data quality, assumptions, and model results
Communicate findings and recommendations to technical and non-technical stakeholders
Support the integration of analytics into operational or decision-support workflows

Requirements

TS/SCI with Poly required
Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field
10+ years of experience in data analytics or data science roles
Strong proficiency with Python or R and SQL
Experience performing statistical analysis, modeling, or machine learning
Strong written and verbal communication skills
Preferred: Experience supporting IC, DoD, or DOJ mission programs
Preferred: Experience working with operational, intelligence, or enterprise data
Preferred: Familiarity with cloud-based analytics environments
Preferred: Experience working in Agile delivery environments