13,437 Statistical Software jobs in the United States

Job Description:

Nextracker is the leading provider of intelligent solar tracking systems, offering advanced solutions that optimize the performance and reliability of utility-scale solar power plants around the world. Our technology enables maximum energy yield, grid resilience, and operational efficiency-supporting a more sustainable energy future.

Key Responsibilities:

• Assist in the development and evaluation of machine learning models for image-based object detection and tracking.
• Preprocess and annotate image datasets for training and validation.
• Implement and fine-tune deep learning architectures (e.g., CNNs, YOLO, Faster R-CNN) for real-time image recognition tasks.
• Collaborate on model deployment pipelines using tools such as TensorFlow Serving, ONNX, or Docker.
• Analyze model performance and contribute to iterative improvements.
• Document findings, experiments, and best practices.

Preferred Qualifications:

• Currently pursuing a degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
• Strong foundation in Python and machine learning libraries (e.g., TensorFlow, PyTorch, OpenCV).
• Familiarity with image processing techniques and computer vision concepts.
• Experience with version control (Git) and cloud platforms (AWS, GCP, or Azure) is a plus.
• Excellent problem-solving skills and a collaborative mindset.

The hourly rate for this position is $45-50/hr

At Nextracker, we are leading in the energy transition, providing the most comprehensive portfolio of intelligent solar tracker and software solutions for solar power plants, as well as strategic services to capture the full value of solar power plants for our customers. Our talented worldwide teams are transforming PV plant performance every day with smart technology, data monitoring and analysis services.

For us at Nextracker, sustainability is not just a word. It's a core part of our business, values and our operations. Our sustainability efforts are based on five cornerstones: People, Community, Environment, Innovation, and Integrity. We are creative, collaborative and passionate problem-solvers from diverse backgrounds, driven by our shared mission to provide smart solar and software solutions for our customers and to mitigate climate change for future generations.

Nextracker is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Culture is our Passion

Data Science Engineer

Volt is immediately hiring for Data Science Engineer in Falls Church, VA. As Data Science Engineer you will be responsible for:

• MLOps, Model Engineering, Training on time series data.
• After few weeks training on Customer's AI platform, develop AI-based applications using Customer's platform for operational cloud-deployed and secure lab deployed AI-based applications.
• Develop candidate models that are promoted to active models when their performance meets threshold.
• Train, validate and deploy machine learning pipelines.
• Test, troubleshoot, and enhance customer AI-based applications based on feedback.
• Manage individual project deliverables.
• Identify application performance bottlenecks and implement optimizations.
• Write application specifications and documentation.
• Articulate methodologies, experiments, and findings clearly in actionable way.
• Work in a fast-paced environment.

This is a Contract opportunity for 12 months. Security Clearance Active Secret Clearance.

The Ideal candidate will have:

• Bachelor's degree in a Science, Technology, Engineering or Mathematics (STEM), or comparable area of study.
• 5+ years of Data Science development experience using Python.
• Proficiency in data science, machine learning, and analytics, including statistical data analysis, model and feature evaluations.
• Strong proficiency in numpy & pandas.
• Demonstrated skills with Jupyter Notebook or comparable environments.
• Practical experience in solving complex problems in an applied environment, and proficiency in critical thinking.

Qualifications We Prefer:

• Degree in Data Science, Machine Learning, Computer Science, Engineering, Statistics, or equivalent fields.
• Strong mathematical background (linear algebra, calculus, probability & statistics).
• Experience with machine learning model training and analysis through open-source frameworks (Pytorch, Tensorflow, Sklearn).
• Experience crafting, conducting, analyzing, and interpreting experiments and investigations.
• Experience with modern software development tools and practices (Git, pull requests).
• Experience analyzing model performance with relevant metrics and optimizing.
• Familiarity with AI agent frameworks.

Pay Rate: $80 - $90/hr

Volt offers benefits (based on eligibility) that include the following: health, dental, vision, term life, short term disability, AD&D, 401(k), Sick time, and other types of paid leaves (as required by law), Employee Assistance Program (EAP).

Volt is an Equal Opportunity Employer and prohibits any kind of unlawful discrimination and harassment. Volt is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment on the basis of race, color, religion or belief, national origin, citizenship, social or ethnic origin, sex, age, physical or mental disability, veteran status, marital status, domestic partner status, sexual orientation, or any other status protected by the statutes, rules, and regulations in the locations where it operates.

If you are an individual with a disability and need a reasonable accommodation to assist with your job search or application for employment, please email hr_dept@ or call (866) - .

Volt does not discriminate against applicants based on citizenship status, immigration status, or national origin, in accordance with 8 U.S.C. 1324b. The company will consider for employment qualified applicants with arrest and conviction records in a manner that complies with the San Francisco Fair Chance Ordinance, the Los Angeles Fair Chance Initiative for Hiring Ordinance, and other applicable laws.

Data Science

Job Locations

US-AZ-Fort Huachuca

Requisition ID



Position Category

Cyber Security

Clearance

Top Secret/SCI

Responsibilities

Secure Division Support. The GCC provides CSSP responsibilities and conducts DODIN Operations and DCO - Internal Defensive Measures (IDM) to protect the DODIN IAW the DoDM and the DoD Cybersecurity Services Evaluator Scoring Metrics (ESM). These responsibilities are broken into five (5) CSSP functions; Identify, Protect, Detect, Respond, and Recover. GCC is responsible to conduct these functions for its assigned portion of the DODIN for both unclassified and classified networks/ systems. The division provides support services for the protection, monitoring, analysis, detection, and response to unauthorized activity within the DoD Information Systems and Networks. DCO-IDM services are required to defend against unauthorized activity on all Army assets residing on the NIPRNet and SIPRNet. The division provides defensive measures to protect and defend information, computers, and networks from disruption, denial, degradation, or destruction. The division provides sensor management and event analysis and response for network and host-based events. For sensor management, the division provides management of in-line Network Intrusion Protection System/Network Intrusion Detection System (NIPS/NIDS) sensors monitoring all CONUS DoDIN-A NIPRNet and SIPRNet Enterprise traffic to detect sensor outages and activities that attempt to compromise the confidentiality, integrity, or availability of the network. In coordination with GCC Operations, DCO initiates defensive security procedures upon detection of these attacks. Event analysis and response includes the processes involved with reducing multiple cyber incidents to actual malicious threat determinations and mitigating those threats IAW guidance received from GCC Government leadership. Support the Government in providing services for CSSP services on both the NIPRNet and SIPRNet IAW Appendix E: Secure Division Workload Assessment in support of the CONUS portion of the DoDIN-A. Develop reports and products, both current and long-term, in support of CSSP and course of action development. Prepare Tactics, Techniques, and Procedures (TTP), SOPs, Executive Summary (EXSUMS), trip reports, and information/point papers. Contribute during the preparation of agreements, policy, and guidance documentation such as Memorandums of Understanding / Agreement (MOU/A), Service Level Agreements (SLA).
* Defensive Cyber Infrastructure (DCI) Support. Perform the following DCI functions:
* Develop and distribute content provided by security platform vendors at least weekly and as needed.
* Develop and distribute in-house content based on tippers from higher organizations and the Threat Hunt team.
* Provide content development and distribution to tactical edge customers and develop TTPs for doing so.
* Consolidate different data sources into a single view used to assess the status of a specific threat on the network.
* Develop and/or maintain dashboards displaying specific CSSP items of interest (i.e. top 10 attackers, top 10 destinations, top attack vector, etc.) and all active cyber incidents, in near real time, within each respective AOR.
* Maintain, update, test, and implement signatures and policies for each sensor managed by GCC.
* Changes must be approved through the established ITIL process.
* Develop signatures and policies that include both network- and host-based sensors.
* Update as necessary to minimize false positives and validate for proper syntax.
* Conduct all development and testing on isolated networks.
* Document and conduct testing activity with plan procedures, results, and operational procedures as signatures are developed and/or updated.
* Update and validate plan at least annually. A signature test plan shall be developed.

Qualifications

Basic Qualifications:

8 years with BS/BA; 6 years with MS/MA; 3 years with PhD
• Certifications: DCWF Code 521 Advanced: Certified Information Systems Security Professional (CISSP) or GIAC Certified Intrusion Analyst (GCIA) or GIAC Cloud Security Essentials (GCLD) or GIAC Defensible Security Architecture (GDSA) or GIAC Global Industrial Cyber Security Professional (GICSP) or GIAC Security Essentials Certification (GSEC) or Information Systems Security Architecture Professional (ISSAP) or Information Systems Security Engineering Professional (ISSEP)
• Active TS/SCI Clearance
• Ability to conduct vulnerability assessments and monitor networks to support test and operational environment requirements.
• Solid understanding of data transport, encryption, networking, IT systems, and cybersecurity fundamentals.

Peraton Overview

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.

Target Salary Range

$66,000 - $106,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.

EEO

EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

Position- Data Science
Duration-Contract
Location- Austin, TX~ Sunnyvale, CA

Jd
1. Experience in Machine Learning and Deep Learning, including regression, classification, neural network, and Natural Language Processing (NLP), LLM.
2. Extensive experience in TIME SERIES.
3. Extensive experience on Natural Language Processing (NLP) libraries such as Spacy, NLTK, flair, and sklearn-crfsuite.
4. Strong background in DNN, CNN, RNN(LSTM), GAN, and libraries to deploy these models, such as Sklearn, Keras, Pandas, and TensorFlow.
5. Experience in Text Analytics, developing different Statistical Machine Learning, Data Mining solutions to various business problems, and generating data visualizations using R, Python.
6. Experience with common data science toolkits and libraries, such as Pandas, NumPy, SciPy, Scikit-learn.
7. Experience with data exploration to find actionable insights and make Product Recommendations through Funnel Analyses, A/B testing, Churn analysis, User Segmentation, Retention Rate, and business KPIs.
Data Science, Python, TIME SERIES, NLP, LLM

Regards,
Pallavi Verma
Sr. Technical Recruiter | Syntricate Technologies Inc.
Direct : |
Email : | Web:

We're hiring! connect with us on LinkedIn nd visit our Jobs Portal

Minority Business Enterprise (MBE) Certified | E-Verified Corporation | Equal Employment Opportunity (EEO) Employer

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Position- Data Science
Duration-Contract
Location- Urbana, MD

JD
• Minimum 7 years of IT Experience• Minimum 2 years of experience in developing AI enabled solutions• Expert level competency in Python• Hands-on experience developing and deploying Machine Learning solutions• Good knowledge and experience in developing GenAI embedded solutions• Hands-on experience with AI cloud services is an added advantage Key Responsibilities:• Machine Learning based model building, validation, deployment, and monitoring• Developing MLOps solution for continuous development , deployment, and monitoring of solutions• Developing GenAI embedded solutions across various use cases• Rapid experimentation of GenAI use cases using Azure cloud AI and data services• Development and deployment of GenAI embedded solutions using open source solutions

Regards,
Pallavi Verm
Sr. Technical Recruiter | Syntricate Technologies Inc.
Direct : |
Email : | Web:

We're hiring! connect with us on LinkedIn nd visit our Jobs Portal

Minority Business Enterprise (MBE) Certified | E-Verified Corporation | Equal Employment Opportunity (EEO) Employer

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Essential Skills: Data Science

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.

About Profound

Profound is an NYC-based AI startup helping brands measure and improve their visibility in AI platforms such as ChatGPT. We partner with some of the biggest brands and marketing agencies, including companies like MongoDB, Indeed, Mercury, DocuSign, Zapier, Ramp, Rho, Golin, Workable, Mejuri, Eight Sleep, G2, US Bank, Chime, and Clay.

We recently raised a $35 million Series B funding round led by Sequoia Capital, with continued backing from venture capital firms Kleiner Perkins, Khosla Ventures, Saga VC, and South Park Commons, as well as angel investors including Guillermo Rauch (Vercel) and Andrew Karam (Applovin).

Learn more at tryprofound.com.

Profound is on a mission to help companies understand and control their AI presence. As a Data Scientist , you'll map every human-AI interaction to help brands turn AIs into their strongest advocates. You'll build predictive models, develop sampling techniques, and optimize brand visibility in AI-driven search (e.g., ChatGPT, Perplexity). Your work will directly impact how businesses shape their presence in the generative AI era.

What You'll Do

• Develop and refine predictive models to analyze and forecast AI-driven search behavior.
• Design sampling and data classification techniques to improve AI-driven brand insights.
• Leverage LLMs/NLP to extract meaningful insights from unstructured text data.
• Work with large datasets, ensuring efficiency in querying, cleaning, and classification.
• Design and conduct A/B tests or other experimentation frameworks to measure impact.
• Collaborate with the founding team to turn complex data insights into actionable business strategies.

Who You Are

• 3+ years of advanced analytics experience in technology, marketing, or advertising.
• Proficient in Python, R, and SQL, with hands-on experience querying and analyzing large datasets.
• Expertise in data sampling techniques, including stratified sampling, bootstrapping, and extrapolation.
• Strong background in predictive modeling and applying ML techniques to estimate event frequency.
• Deep understanding of Large Language Models (LLMs), their limitations, and real-world applications.
• Passionate about staying on top of AI research, especially in multi-modal AI and LLM advancements.
• Comfortable in a fast-moving, high-performance startup environment.

This is an on-site role in our Union Square office-designed for builders who thrive on speed, iteration, and impact.

Position- Data Science
Duration-Contract
Location- Cupertino, CA

JD

• Data Scientist with strong Statistical Fundamentals learning Python with Pandas and NumPy Experience Strong Visualization
• Experience Strong understanding of Data Science Cycle OOP
• Python with Scientific and mathematical Experience and state Experience Need
• Digital : Data Visualization, Python for Data Science, Object Oriented Programming, Statistics & Analytics

Regards,
Pallavi Verma
Sr. Technical Recruiter | Syntricate Technologies Inc.
Direct : |
Email : | Web:

We're hiring! connect with us on LinkedIn nd visit our Jobs Portal

Minority Business Enterprise (MBE) Certified | E-Verified Corporation | Equal Employment Opportunity (EEO) Employer

This e-mail message may contain confidential or legally privileged information and is intended only for the use of the intended recipient(s). Any unauthorized disclosure, dissemination, distribution, copying or the taking of any action in reliance on the information herein is prohibited. Please notify the sender immediately by email if you have received this email by mistake and delete this e-mail from your system. You have received this email as we have your email address shared by you or from one of our data sources or from our member(s) or subscriber(s) list. If you do not want to receive any further emails or updates, please reply and request to unsubscribe .

Organization Overview
The newly-created Data Science Platform (DSP) supports and advances the research objectives of Rockefeller Universitys faculty and staff by providing training and consultative support in the field of data science especially in the areas of machine learning and artificial intelligence (ML/AI) and deep learning (DL).
Overview
Reporting to the Chief Information Officer, and working primarily with Faculty, Research Staff, Postdoctoral Fellows, and Graduate Students, the Director leads a team of seven (7) Machine Learning Engineers that identify and work closely with internal and external resources to determine how to most effectively support University researchers' needs for applying ML/AI and/or other quantitative approaches to new and existing data sets across a wide variety of disciplines, including structural biology, imaging, microscopy, "omics," neuroscience, immunology/virology, and the physical sciences. The position also includes leadership of the Fisher Center AI Platform, which seeks to apply AI/ML techniques to understand the causes of Alzheimer's disease, improve the care of people living with it, and find a cure.
Responsibilities
Responsibilities include, but are not limited to the following:
+ Consult on experimental design and best usage, with emphasis on best practices for proper analysis and reproducibility;
+ Recruit and manage Data Science Platform staff members;
+ Develop and lead training/classes in ML/AI fundamentals and techniques; adapt and evolve training to best serve the changing needs of the research community;
+ Identify, improve, and/or create appropriate training data sets for ML/AI projects;
+ Advise researchers and collaborators on method selection and implementation, as well as on how to direct research projects to ensure alignment with emerging advancements in deep learning;
+ Maintain awareness of advances in the field and their applicability to problems of interest to members of Rockefeller's research community;
+ Identify and apply for appropriate grant funding opportunities;
+ Additional duties and special projects as assigned.
Qualifications
**REQUIRED QUALIFICATIONS:**
+ Ph.D. or equivalent degree in data science, machine learning, artificial intelligence, computer science, electrical engineering, statistics or a related field.
+ A minimum of ten (10) years of research experience in identifying, formulating and solving biological problems through the application of advanced artificial intelligence technologies.
+ At least two (2) years of leadership experience.
+ A strong publication record in top-tier venues focused on machine learning, artificial intelligence or their domain-specific applications, such as AAAI, NeurIPS, ICML, ICLR, IJCAI, KDD, ICCV, ECCV, CVPR, EMNLP, ACL, MICCAI, IJCV, TPAMI, TIP, ACM-MM, Nature, Nature Methods, Science and equivalent conferences and journals.
+ Broad knowledge on recent advances in artificial intelligence, such as foundation models (including large-language models, vision-language models, genomic foundation models, etc.), generative models, self-supervised learning, large-scale distributed training, efficient deep learning, with research expertise in at least one relevant field.
+ Basic knowledge of the deep learning tool stack, such as PyTorch, Python, CUDA, Linux, and computing cluster management.
+ Must possess excellent communication and interpersonal skills.
**PREFERRED QUALIFICATIONS:**
+ Prior work experience in a research related, academic environment is a plus.
The Rockefeller University is an equal opportunity employer - veterans/individuals with disabilities. Qualified applicants will receive consideration for employment without regard to characteristics protected by applicable local, state or federal law, including but not limited to disability and protected veteran status.
The salary of the finalist selected for this role will be set based on various factors, including but not limited to organizational budgets, qualifications, experience, education, licenses, specialty, and training. The hiring range provided represents The Rockefeller University's good faith and reasonable estimate of the range of possible compensation at the time of posting.
Compensation Range: Min
USD $175,000.00/Yr.
Compensation Range: Max
USD $190,000.00/Yr.