Data Scientist

75215 Park Cities, Texas Lantern

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Job Description

At Lantern , our company culture stands as the bedrock of our success and a source of pride for our teams. We firmly believe that a culture founded on trust forms the basis for enduring relationships with clients, colleagues, and partners.

Within this culture, we nurture an environment of respect, inclusion, and belonging, fostering collaboration among inspired teams. We prioritize the well-being of our colleagues, the success of our clients, and our positive impact on society.

Embracing a growth mindset where curiosity thrives, we celebrate excellence and value individuals who inspire and mentor others, elevating the collective. Our driving force lies in personal and business growth. We go above and beyond to surprise and delight our clients, delivering tangible business value. In facing challenges, we make tough choices and solve complex problems to positively influence our clients, their customers, and the world at large.

As a Microsoft services partner, we hold ourselves to the highest standards of technical excellence. This commitment to quality is evident not only in our work but also in how we support and empower our employees. At Lantern, our culture mirrors our core values and unwavering dedication to realizing our purpose and vision, making it a dynamic and fulfilling workplace. Together, we transcend the ordinary and achieve extraordinary results.

As a Data Scientist , you will be responsible for assisting our clients envision, design, develop, and deploy machine learning solutions in Microsoft Azure. As part of a small, dynamic team, you will have the opportunity to contribute to multiple projects and multiple phases of the solution life cycle including solution design and implementation.

Key Responsibilities

  • Experience in the full ML lifecycle - understanding, developing, deploying, and maintaining traditional data science solutions.
  • Proficiency with Microsoft Azure technologies such as Azure Machine Learning and Azure Databricks.
  • Strong programming skills in Python or PySpark.
  • Solid understanding of supervised + unsupervised learning algorithms and concepts.
  • Experience with data preparation, feature engineering, and data engineering practices. Understanding of supervised + unsupervised learning algorithms and concepts.
  • Experience in the optimization and tuning of machine learning solutions to handle large volumes of data.
  • Outstanding verbal and written communication skills.
  • Excellent presentation and whiteboarding skills.
  • Experience communicating highly technical concepts to non-technical audiences.
  • Experience collaborating with business stakeholders to understand business requirements and design AI solutions which meet those requirements.
Skills, Knowledge and Expertise
  • Bachelor's degree in computer science or related field
  • Experience building solutions with Azure AI Services (OpenAI, Vision, Speech, etc.), Microsoft Fabric or Azure Data Factory.
  • AI-102 (Microsoft Certified: Azure AI Engineer Associate), or DP-100 (Microsoft Certified: Azure Data Scientist Associate), or Databricks ML Data Scientist Certifications a plus
  • Experience with GitHub or Azure DevOps
  • Prior consulting and business development experience a plus.
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Data Scientist

76099 Grapevine, Texas Patriot Mobile

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Job Description

Patriot Mobile is America's only Christian conservative wireless provider. We offer broad coverage on dependable, nationwide 4G or 5G LTE networks. We are committed to providing our members reliable wireless service and exceptional support while relentlessly fighting for our shared values. Patriot Mobile donates a portion of every dollar earned to support organizations that fight for First Amendment Religious Freedom and Freedom of Speech, Second Amendment Right to Bear Arms, Sanctity of Life, and the needs of our Veterans and First Responders.

Job Overview:

The Data Scientist will analyze large volumes of network, customer and operational data to uncover trends, predict behaviors, and optimize business performance. Your insights will directly influence strategic decisions in areas such as customer retention, network optimization, fraud detection, and personalized service offerings. This position will also help improve customer acquisition strategies and maximize advertising dollar efficiency through data-driven decisions. The ideal candidate will excel at analysis, manipulation, and cleaning of data, building predictive and prescriptive models using theoretical and computational techniques, extract insights from models to help inform business decisions and present results and recommendations to various business partners and leaders.

Essential Functions and Responsibilities:
Work closely with team members and business partners to identify and prioritize key questions and drive impactful data-driven decisions.
Extract, manipulate, and clean data from diverse sources using SQL and Python, preparing it for detailed analysis and model development.
Develop and implement sophisticated predictive and prescriptive models using statistical and machine learning techniques. Ensure these models address key business challenges and deliver actionable insights.
Create clear, compelling data visualizations to effectively communicate findings to both technical and non-technical stakeholders.
Effectively and efficiently transition models from development to production within the organization's existing cloud ecosystem.
Participate actively in project planning and prioritization sessions to ensure data initiatives align with business goals.
Stay updated with the latest industry trends and tools and integrate this knowledge to improve methodologies and solutions.

Required Knowledge/Skills/Abilities:
Ability to quickly learn, analyze situations, and make decisions which support the mission of Patriot Mobile.

  • Hands-on experience building and optimizing data solutions using Python and SQL.
  • Experience solving problems using a variety of statistical and machine learning techniques.
  • Hands-on experience using statistical or machine learning frameworks to solve a variety of real-world problems.
  • Knowledge of methods like Logistic Regression, Time Series Analysis, GLMs, Mixed Modeling, Multivariate Statistics, Predictive Modeling, Decision Trees, Gradient-Boosted Trees, Random Forests, and Neural Networks.
  • Proactive approach to identifying problems and developing innovative solutions.


Education and Experience:
Bachelors degree or higher in a relevant analytical field

Physical Requirements:
Must be able to sit or stand for long periods of time.
Must be able to work in a variety of spaces to include cubicle, counter, and or desk areas.
Must be able to lift and move items up to 25 pounds.

Patriot Mobile is an equal opportunity at-will employer and does not discriminate against any employee or applicant for employment based on age, race, religion, color, disability, sex, or national origin.
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Data Scientist

75215 Park Cities, Texas CloudTech Innovations

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Job Description

Job Description

Job Title: Data Scientist – Machine Learning, Big Data, GenAI (8–10 Years Experience)
Location: Remote
Employment Type: Contract

About the Role

We are seeking a highly experienced Data Scientist with 8–10 years of expertise delivering production-grade AI/ML solutions at scale. This role requires deep technical proficiency in Machine Learning, Big Data, Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) , combined with hands-on cloud experience (AWS, Azure, or GCP) and migration expertise for modernizing data and AI platforms.

The ideal candidate can lead projects end-to-end, from architecture design to deployment, while mentoring teams, optimizing for performance and cost, and ensuring alignment with business objectives.

Key Responsibilities

  • Design, develop, and deliver end-to-end ML/AI solutions in cloud-native environments from design to deployment and monitoring.
  • Architect and implement Generative AI solutions leveraging LLMs (e.g., GPT, LLaMA, Claude, Mistral) and RAG pipelines with vector search.
  • Build and optimize Big Data pipelines using Apache Spark, PySpark, and Delta Lake integrated with cloud storage (AWS S3, Azure Data Lake, GCP Cloud Storage).
  • Design and maintain data lakehouse architectures with Databricks, Snowflake, or Delta Lake .
  • Deploy scalable MLOps pipelines using MLflow, SageMaker, Azure ML, or Vertex AI with Docker, Kubernetes (EKS, AKS, GKE) , and CI/CD.
  • Implement and manage vector databases (Pinecone, FAISS, Milvus, Weaviate, ChromaDB) for RAG applications.
  • Oversee ETL/ELT workflows and pipeline orchestration using Airflow, dbt, or Azure Data Factory .
  • Migration projects , on-prem to cloud, cross-cloud, or legacy platform upgrades (e.g., Hadoop to Databricks, Hive to Delta Lake) , ensuring data integrity and minimal downtime.
  • Integrate streaming data solutions using Apache Kafka and real-time analytics frameworks.
  • Conduct feature engineering, hyperparameter tuning, and model optimization for performance and scalability.
  • Mentor junior data scientists and guide best practices for AI/ML development and deployment.
  • Collaborate with product, engineering, and executive teams to align AI solutions with business KPIs and compliance requirements .

Required Skills & Experience

  • 8–10 years in data science, machine learning, and AI/ML solution delivery .
  • Strong hands-on expertise in at least one major cloud platform ( AWS, Azure, or GCP ) with proven production deployments.
  • Proficiency in Python, PySpark, and SQL .
  • Proven experience with Apache Spark, Hadoop ecosystem , and Big Data processing .
  • Hands-on experience with Generative AI , Hugging Face Transformers , LangChain , or LlamaIndex .
  • Expertise in RAG architectures and vector databases (Pinecone, FAISS, Milvus, Weaviate, ChromaDB).
  • Experience with MLOps workflows using MLflow, Docker, Kubernetes , and CI/CD tools (Jenkins, GitHub Actions, GitLab CI).
  • Migration experience involving AI/ML workloads , big data pipelines , and data platforms to modern cloud-based architectures.
  • Knowledge of data services (AWS S3, Redshift; Azure Synapse; GCP BigQuery) and infrastructure-as-code (Terraform, CloudFormation, ARM templates).
  • Familiarity with streaming technologies (Kafka) and query engines (Hive, Presto, Trino).
  • Strong foundation in statistics, probability, and ML algorithms .

Preferred Qualifications

  • Experience with knowledge graphs and semantic search.
  • Background in NLP , transformer architectures , and deep learning frameworks ( TensorFlow, PyTorch ).
  • Exposure to BI tools ( Power BI, Tableau, Looker ).
  • Domain expertise in finance, healthcare, or e-commerce .
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Data Scientist

75215 Park Cities, Texas The Hershey Company

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Job Description



Data Scientist

Posted Date:

Aug 20, 2025

Requisition Number:

125516

Job Location : Dallas, Texas

This position is located in the Frisco office. This will be a hybrid role.

Summary:

At Hershey, data isn't just about numbers-it's about creating the future of snacking. Our data scientists use advanced analytics to understand customer preferences, forecast trends that shape the industry and optimize our business. You'll have the opportunity to work on projects that directly impact the Hershey products that people know and love - driving real-world results and more moments of goodness. In this role, this individual will apply scientific principles to analyze complex datasets to make business decision while developing scalable algorithms and models.

Major Responsibilities:

  • Translates ambiguous business problems into data science problems. Analyzes complex datasets to inform or make decisions to address those business problems.
  • Applies scientific principles and concepts to support significant invention. Uses a range of scientific methodologies and follows best practices for those methodologies.
  • Proactively identifies opportunities and solutions to problems. Solutions may require novel techniques or approaches.
  • Creates metrics and measurements to quantify the business impact of the work.
  • Writes accurate and clear technical documentation and reports, including appropriate mathematical rigor as needed.
  • Communicates the approach and outcomes of models clearly and effectively with non-technical stakeholders to build trust.
  • Collaborates with stakeholders across a broad set of functions (science, data, engineering, product, business).

Scope of Work:

  • Influences multiple teams to build consensus and advise Sr leadership.
  • Evaluate cross-team perspectives and understand how interactions among teams, processes and systems need to be modelled in solutions.
  • Utilize deep understanding of business challenges and the applicability of relevant data science disciplines and interactions amongst systems to identify the most advantageous solutions that deliver significant benefit to the business
  • Contributions influence technical and business strategy. Harmonize discordant views and lead the resolution of contentious issues.
  • Optimize connected systems using their dynamics. Improve consistency and integration between team's solutions and the work done by related teams.
  • Improve work done by others either via collaboration or by increasing their scientific knowledge using specialized tools or advanced techniques

Qualifications:

  • Data analytics skills and experience analyzing both experimental and observational data sets
  • Deep expertise in one or more of: machine learning, natural language processing, computer vision, operations research, applied mathematics, statistics, econometrics, causal analysis, or similar science discipline.
  • Experience developing one or more of: A/B testing capabilities, forecasting models, inventory optimization, capacity planning, pricing, recommender systems, classification models, causal impact, customer choice models, or similar science products.
  • Proficiency with math/stats software (e.g. R, Matlab, SAS, Stata, Python numpy) or other domain specific software (e.g. Python/TensorFlow for ML). Basic proficiency with SQL.
  • Strong skills in model development, model validation, and model implementation. For ML-related roles, additional expertise in model deployment and ongoing production support.
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals.

Experience & Education Requirements:

  • Master's degree or higher in Statistics, Mathematics, Data Science, Computer Science, Engineering, or a related discipline with a strong focus on use of predictive analytics and optimization to influence real life decisions
  • 3+ years of professional experience applying quantitative research to optimizing business decisions using machine learning/deep learning, and/or optimization techniques like operations research; Ph.D. candidates are accepted in lieu of 3+ years of professional experiences

#LI-MH1
#LI-Hybrid



Nearest Major Market: Dallas

Nearest Secondary Market: Fort Worth

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Data Scientist

75215 Park Cities, Texas Qode

Posted 4 days ago

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About the Role We are seeking a highly skilled Data Scientist with expertise in Python, R, and PySpark to join our analytics team for a leading banking client. The ideal candidate will leverage advanced analytics, machine learning, and big data technologies to design data-driven solutions, generate actionable insights, and support strategic decision-making in areas such as risk management, fraud detection, customer segmentation, and credit scoring. Key Responsibilities Work with large-scale structured and unstructured datasets to design, develop, and deploy predictive and prescriptive models. Apply statistical modeling, machine learning, and data mining techniques to address complex business problems in banking. Develop and optimize data pipelines and ETL processes using PySpark for efficient big data processing. Perform exploratory data analysis (EDA) , feature engineering, and hypothesis testing using Python and R . Partner with business stakeholders to translate requirements into analytical solutions. Create visualizations and dashboards to communicate insights to technical and non-technical audiences. Ensure compliance with data governance, privacy, and security standards in all analytics work. Required Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or related field. 3–7 years of experience as a Data Scientist, ideally within the banking or financial services domain . Strong programming skills in Python and R , including libraries such as Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, ggplot2, and caret. Hands-on experience with PySpark for distributed data processing and analysis. Strong statistical and mathematical foundation in regression, classification, clustering, time-series analysis, and hypothesis testing. Experience working with large datasets, big data platforms (Hadoop, Spark), and SQL/NoSQL databases. Familiarity with cloud platforms (AWS, Azure, or GCP) and version control (Git). Excellent problem-solving, communication, and stakeholder management skills. Good to have Experience in risk analytics, fraud detection, credit risk modeling, or customer analytics in banking/financial services.
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Data Scientist

75215 Park Cities, Texas Spectral MD

Posted 8 days ago

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Position Summary:

We are seeking a motivated Data Scientist to research, develop, and enhance machine learning and deep learning algorithms that drive innovative healthcare solutions. This role involves maintaining high data quality standards, collaborating with clinical and business partners to understand their needs, and translating advanced research into practical applications. The ideal candidate will assist in building and improving deep learning frameworks, manage projects independently, and work effectively both individually and within cross-functional teams. Staying current with emerging technologies and demonstrating strong communication, attention to detail, and persistence are essential for success in this role.

Essential Duties and Responsibilities:
  • Research, develop, and enhance machine learning and deep learning algorithms and frameworks for computer vision applications, translating cutting-edge research into practical healthcare solutions.
  • Implement and optimize deployment pipelines for trained models to enable efficient, scalable, and hardware-optimized inference.
  • Apply model optimization techniques to reduce computational overhead while preserving accuracy.
  • Maintain data quality and integrity across the data lifecycle to support robust algorithm development and model training.
  • Collaborate with clinical partners and internal stakeholders to understand needs and deliver AI solutions that improve model performance.
  • Assist in writing deep learning framework templates, identifying improvement areas, and implementing new model architectures.
  • Manage projects independently and contribute effectively as part of a team, ensuring reproducible analyses, clear documentation, and knowledge sharing.
  • Stay updated with the latest data science methods, technologies, and industry trends.
  • Demonstrate strong communication skills, persistence, attention to detail, and a drive to complete research projects end-to-end.
Qualifications:
  • M.S. or Ph.D. in Computer Science, Electrical Engineering, Biomedical Engineering, Statistics, Applied Mathematics or related field.
Knowledge, Skills, and Abilities:
  • Strong foundation in state-of-the-art deep learning architectures (e.g., vision transformers) for computer vision tasks including image classification, object detection, and semantic segmentation.
  • Proficiency in deep learning libraries and frameworks, including PyTorch and TensorFlow.
  • Proficiency in C++ regarding object-oriented programming, data structure and performance optimization technique.
  • Solid knowledge of model optimization techniques, such as pruning, quantization, mixed-precision inference, and other performance-enhancing strategies.
  • Solid knowledge of model deployment tools, including ONNX, LibTorch, and TensorRT.
  • Strong grasp of model evaluation metrics, benchmarking, and best practices for computer vision model validation.
  • Self-driven with the ability to deliver on ambiguous projects with incomplete data.
  • Excellent written communication skills, especially in writing technical manuscripts.
Bonus:
  • Experience and knowledge in healthcare domain with successful outcomes.
  • Experience with CUDA programming for developing custom GPU kernels, optimizing computational performance, and accelerating deep learning workflows.

Physical Requirements:

Prolonged periods of sitting at a desk and working on a computer.

Travel:

N/A

Equal Employment Opportunity:

Spectral MD, Inc. is an equal opportunity and affirmative action employer. All applicants will be considered for employment without regard to race, color, ancestry, national origin, sex, gender, sexual orientation, marital status, religion, age, disability, gender identity, results of genetic testing, protected veteran status, or any other characteristic protected by applicable federal, state or local laws.
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Data Scientist

75215 Park Cities, Texas Kemper

Posted 13 days ago

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Location(s)

Alpharetta, Georgia, Birmingham, Alabama, Dallas, Texas, Downers Grove, Illinois, Jacksonville, Florida, Remote-CT, Remote-FL, Remote-TX

Details

Kemper is one of the nation’s leading specialized insurers. Our success is a direct reflection of the talented and diverse people who make a positive difference in the lives of our customers every day. We believe a high-performing culture, valuable opportunities for personal development and professional challenge, and a healthy work-life balance can be highly motivating and productive. Kemper’s products and services are making a real difference to our customers, who have unique and evolving needs. By joining our team, you are helping to provide an experience to our stakeholders that delivers on our promises

Data Science is a driver of significant competitive advantage for Kemper and is critical to the organization’s success. As a member of the Kemper Auto Data Science team, this position is responsible for building and developing analytical solutions, especially in updating existing solutions.

Responsibilities:

  • Independently designs and develops analytical solutions.

  • Develops and automates processes that can be deployed throughout the organization to solve reoccurring analytics needs.

  • Communicates project progress and challenges to the working team.

  • Develops database, technical, and business knowledge.

Qualifications:

  • Graduate degree in Mathematics, Statistics, Engineering, or other STEM field with 2-4 years of experience working in a data science/analytics environment.

  • PhD in Mathematics, Statistics, Engineering, or other STEM field with related industry experience preferred.

  • Proficient in Python programming language (scikit-learn, pandas, numpy, scipy, matplotlib, etc.).

  • Proficiency and experience with several modeling techniques such as generalized linear models, decision trees, ensemble learning, regularized models (ridge/lasso/nets), clustering, and neural networks.

  • Some experience with natural language processing is preferred.

  • Prior experience working with imbalanced datasets and AWS is a plus.

  • Ability to work with various data formats. This includes relational databases (especially), delimited text files, data frames, and JSONs.

  • Excellent overall communication skills, particularly possessing the ability to translate technical results for wide audiences.

The range for this position is $90300 to $50400. When determining candidate offers, we consider experience, skills, education, certifications, and geographic location among other factors.  This job is eligible for an annual discretionary bonus and Kemper benefits (Medical, Dental, Vision, PTO, 401k, etc.)  

Kemper is proud to be an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, disability status or any other status protected by the laws or regulations in the locations where we operate. We are committed to supporting diversity and equality across our organization and we work diligently to maintain a workplace free from discrimination.

Kemper does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Kemper and Kemper will not be obligated to pay a placement fee.

Kemper will never request personal information, such as your social security number or banking information, via text or email. Additionally, Kemper does not use external messaging applications like WireApp or Skype to communicate with candidates. If you receive such a message, delete it.

#LI-WH-1

Kemper at a Glance

The Kemper family of companies is one of the nation’s leading specialized insurers. With approximately $13 bill on in assets, Kemper is improving the world of insurance by providing affordable and easy-to-use personalized solutions to individuals, families and businesses through its Kemper Auto and Kemper Life brands. Kemper serves over 4.7 million policies, is represented by approximately 24,000 agents and brokers, and has approximately 7,500 associates dedicated to meeting the ever-changing needs of its customers. Learn more at Kemper.com .

*Alliance United Insurance Company is not rated.

We value diversity and strive to be an employer of choice. An Equal Opportunity Employer, M/F/D/V

Our employees enjoy great benefits:

• Qualify for your choice of health and dental plans within your first month.

• Save for your future with robust 401(k) match, Health Spending Accounts and various retirement plans.

• Learn and Grow with our Tuition Assistance Program, paid certifications and continuing education programs.

• Contribute to your community through United Way and volunteer programs.

• Balance your life with generous paid time off and business casual dress.

• Get employee discounts for shopping, dining and travel through Kemper Perks.

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Data Scientist

75215 Park Cities, Texas Rhapsody

Posted 14 days ago

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About Rhapsody:

We all know that our health care system is complicated. Getting data from one provider to another, or from a provider to a health insurance company, is frustrating for virtually everyone. Imagine developing solutions that help make these data transactions easier and faster. That is what we do at Rhapsody; we make interoperability platforms that allow data - such as patient encounter details, lab results, and billing information - to move seamlessly from one system to another.

While most people will not ever see our products and services during a medical encounter, our interoperability platforms are running behind the scenes. Think of them as the central nervous system helping to move data where it needs to be to improve the patient experience. To learn more about Rhapsody, visit

If using your expertise in a way that impacts our health care system, patient care, and population health sounds like something you would find rewarding, apply today!

This is a remote position. However, preference is for someone local to Dallas, TX.

Position Summary:

Rhapsody is expanding its AI and data science capabilities to drive experimentation, predictive modeling, system evaluation, and actionable insights across our product ecosystem. We're hiring a Data Scientist to contribute to high-impact initiatives-including ML-based patient matching, churn prediction, forecasting, and GenAI workflow support.

You'll work closely with AI and engineering teammates to evaluate models, build predictive solutions, and uncover insights that improve both product performance and internal decision-making. This role offers the opportunity to work across a wide range of data science projects-from improving patient-matching logic to analyzing GenAI behavior-and to help shape how data science evolves across the company.

Key Responsibilities:

  • Analyze outputs and feedback data from AI systems to identify quality gaps, failure patterns, and opportunities for improvement; help define signals and metrics that guide model refinement and evaluation
  • Contribute to the development and evaluation of the patient matching system, including analysis of existing logic, feature design, model exploration, and performance improvement
  • Build and evaluate predictive models for use cases such as churn, revenue forecasting, and risk scoring
  • Collaborate on model evaluation pipelines for both structured ML and GenAI workflows
  • Uncover patterns in data and identify opportunities where data science techniques can improve existing workflows or decision logic-even when the path isn't strictly model-driven
  • Analyze system behavior through performance metrics, interaction logs, and failure patterns to guide iteration
  • Develop dashboards, reports, and datasets to inform AI, product, and business teams
  • Collaborate with AI Engineers on LLM and GenAI-related initiatives
  • Learn and apply best practices in testing, validation, and explainability for ML and AI-driven systems
Qualifications:

Required:
  • 3+ years of experience in data science, machine learning, or applied analytics
  • Strong Python skills (e.g., pandas, NumPy, matplotlib, scikit-learn)
  • Strong data analysis skills, with experience exploring, interpreting, and extracting insights from complex datasets
  • Familiarity with SQL
  • Experience working with structured data and building basic models (e.g., classification, regression)
  • Curiosity about AI/ML systems and a willingness to learn quickly through real-world application
Preferred:
  • Exposure to evaluating or experimenting with neural networks
  • Familiarity with model evaluation techniques (e.g., precision/recall, ROC, drift detection)
  • Interest in or exposure to GenAI workflows (e.g., prompt evaluation, embedding inspection)
  • Experience using tools like Jupyter, MLflow, Airflow, or analytics platforms
Education:
  • Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field (or equivalent experience)
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Data Scientist

75215 Park Cities, Texas ZipRecruiter

Posted 14 days ago

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Job DescriptionJob Description

You could be a data scientist anywhere. Why us?

  • Join a pre-IPO startup with capital, traction and runway ($240M funded | 60X revenue growth in 5 years | $T market size)

  • Partner with our VP of Data Science & Analytics, Armando La Rocca (ex-BCG, Better)

  • Disrupt a massive market and take us to a 10B business in the next few years

  • Be immersed in a talent-dense environment and greatly accelerate your career growth

About the opportunity:

Jerry is looking for a Data scientist to join our growing team! We hit a huge milestone in early 2024 by achieving profitability and have ambitious goals for the next few years — scale from 5M to 50M customers and become a $1 B business. As a data scientist, you will play a key role in championing data-driven decisions across the company’s most critical business initiatives (including carrier growth and development, building new products from 0-1, etc.). As part of the data science & analytics team, you will leverage advanced machine learning models to conduct in-depth analyses and extract insights that will shape our growth strategies.

Jerry is building the first super app to make car ownership affordable and accessible – insurance, buy/sell, registration, loans, safety, repairs, parking, etc – a $2T ma ket in the U.S. We started with insurance in 2019, and since then we’ve launched loan refinancing, driving insights, repair marketplace, car diagnostics, and a GenAI-powered chatbot & voicebot. We have amassed over 5M customers, raised $2 0MM in funding, scaled our revenue 60X and our team to 225 across 6 countries.

Here's what an ex-BCG teammate has to say about joining Jerry:

"The biggest difference between my current role at Jerry and my past life at BCG is being able to feel the direct impact my work has on the business, every day. In consulting, I rarely felt like my work was having any impact on the world, despite advising the largest global corporations. Here, I can see that my work is moving the needle on key company metrics in a matter of weeks. When I say "key," I mean it: I am not talking about secondary KPIs that no one pays attention to, but business-critical metrics that the CEO and the rest of the C-suite look at on a daily basis (think sales, retention, pricing, etc).

The benefit of being a digital-first company is that we are sitting on a treasure trove of data. This means we almost never have to make a decision that's not backed by a robust, statistically significant analysis. While data science can be a support function in some other places (this was something I wanted to avoid), data scientists at Jerry are at the core of the business.

I have also appreciated the professional growth opportunities. I have had flexibility to work on the skills I wanted to develop, be it technical or soft skills. I have found continuous learning to be one of my most important drivers of happiness at work. Getting the space and latitude to work on projects that I am most interested in was all the more important for this reason."

How you will make an impact:

  • Partner with marketing, product, and business development teams to integrate customer performance insights into user and partner acquisition strategies

  • Lead the design, execution, and analysis of A/B experiments on new and existing features, extracting key insights to inform product and business strategies

  • Define, understand, and test levers to drive profitable and scalable user acquisition and partnership growth

  • Identify opportunities to automate manual processes and optimize operational efficiency 

experience:

  • Bachelor’s degree in a quantitatively or intellectually rigorous discipline

  • 1-3 years of management consulting experience from a top firm (McKinsey, Bain, and Boston Consulting Group ) OR relevant experience in data science/business analysis

  • High level of comfort with SQL or Python

Who you are:

  • You have a framework for problem solving and live by first principles

  • You are comfortable communicating with audiences varying from front-line employees to the company’s C-suite

  • You set a very high bar for yourself and for your team, and you are constantly pushing that bar higher in the pursuit of excellence

While we appreciate your interest and application, only applicants under consideration will be contacted.

Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on , , , , , , reproductive health decisions or related medical conditions, , , expression, , veteran status, , genetic information, or other characteristics protected by applicable local, state or federal laws.

Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a , please contact us at

About Jerry.ai:

Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. 

Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all.

We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. 

Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million n financing.

Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.

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Data Scientist

75215 Park Cities, Texas SelectMinds

Posted 17 days ago

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Job Description

Replies within 24 hours

Benefits:

  • HYBRID
  • Competitive salary
  • Opportunity for advancement
  • Training & development


Job Title: Data Scientist - Integrated Operations
Location: Dallas, TX (Hybrid Remote)
In-Person Interview
Must be authorized to work in the U.S


Work Arrangement
- Hybrid work model: primarily remote within the Dallas-Fort Worth area.
- Occasional on-site presence required for meetings, training, or business needs.
- Limited business travel may be required.

Roles & Responsibilities
6+ years of experience in Machine Learning and Data Science.
• Strong understanding of Generative AI, Retrieval Augmented Generation, Agentic Workflow, Statistical methods, data structures, and algorithms.
• Strong programming skills in Python; experience with Machine Learning libraries and Generative AI frameworks (e.g., Pandas, NumPy, Matplotlib, Seaborn, TensorFlow, PyTorch, scikit-learn, LangChain) and LLMs.
• Experience developing and deploying AI solutions on cloud platforms (e.g., AWS, Azure, or GCP).
• Experience in building Asynchronous Python APIs.
• Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for deploying AI solutions.
• Proven experience in developing and deploying machine learning models in a production environment.
• Experience working with large datasets and performing data analysis

Required Qualifications

Education
- Bachelor's degree in Mathematics, Computer/Data Science, Information Technology, or a related field, or equivalent experience.

Experience
- Advanced experience in data science, machine learning, AI, or optimization projects.
- Proficiency in Python and SQL.
- Strong understanding of statistical methods, experimental design, and model validation.
- Experience with data pipelines and relevant programming libraries (e.g., Pandas, NumPy, Scikit-learn, XGBoost, TensorFlow, Pyspark).
- Familiarity with data visualization tools (e.g., Tableau, Plotly, Streamlit).

Preferred Experience
- Experience with AWS cloud services (e.g., SageMaker, Lambda, Glue, EMR).
- Exposure to specialized analytics areas such as simulation, graph analytics, or video analytics.
Skills & Abilities
- Ability to independently manage and deliver on complex projects.
- Strong problem-solving and critical thinking skills.
- Effective communication skills for both technical and executive audiences.
- Ability to adapt quickly to changing priorities and new technologies.
- Strong interpersonal and collaboration skills.

Compensation: $65.00 - $75.00 per hour

About Us

We work to deliver profitability in your business - with effective communication, consulting, and interactive solutions. Following an Agile Work Approach, we make sure you get the ideal solutions at minimum expenses.

Work Approach

Our Philosophy
Our Philosophy starts-and-ends at the Client-first approach. Be it understanding your business requirements to choosing the right technologies, we work as a collective team that takes all the possible steps to grow continuously towards our common goal.

Work Policy

We promote a collaborative work environment. We involve everyone working in the organization in community decisions and encourage them to think from a broader perspective. Our work process promotes flexibility and we maintain a high level of discipline at different levels of execution.

The Future

SelectMinds have years of experience in the domain helps us understand the need-of-the-hour better. This understanding drives us to a better future with every minute ticking. We believe we will be taking off major businesses from their flagship positions, with the products we are eyeing today.
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