We understand the decisions we make today can help shape our energy future for generations to come. That’s why we are committed to growing and innovating in responsible, reliable ways that benefit customers, shareowners, employees and the communities we serve. This commitment comes to life through efforts across our business to build a smarter energy grid while advancing a cleaner energy future.

PPL Corporation and the PPL family of companies power the lives and businesses of more than 3.5 million customers in the United States. Our high-performing utilities, Louisville Gas and Electric, Kentucky Utilities, PPL Electric Utilities and Rhode Island Energy, are addressing challenges head on by building smarter, more resilient and more dynamic power grids and advancing sustainable energy solutions.

Headquartered in Allentown, Pennsylvania, PPL is a Fortune 500 company that employs more than 6,500 people in the U.S. Our employees fuel our innovation and growth, and we are committed to providing an inclusive work environment where all can reach their greatest potential. 

Interested in joining our team? Visit pplweb.com/careers to see current job openings available across our companies.

Industry: Utilities
Company Size: 5,001-10,000 employees

PPL Corporation

Savvy Admin PROD

**Company Description **

PPL Corporation is a leading energy company dedicated to delivering electricity and natural gas to power and improve the lives of its customers. Known for its high-performing and award-winning utilities, PPL actively addresses energy challenges with innovative solutions. By building smarter, more resilient, and dynamic power grids, the company is advancing sustainable energy practices. PPL is committed to a future that meets evolving energy needs while prioritizing reliability and sustainability.

**Role Description **

This is a full-time, hybrid role for a Data Science Specialist based in Allentown, PA.  The Data Science Specialist will apply data science techniques to analyze, interpret, and manage large datasets to support decision-making and strategic initiatives. Responsibilities include data analysis, statistical modeling, identifying trends and insights, and collaborating with cross-functional teams to implement data-driven solutions.

**Qualifications **

- Proficient in Data Science, Data Analytics, and Data Analysis for processing and interpreting complex datasets

- Strong Analytical Skills and expertise in applying Statistics to drive insights and solutions

- Familiarity with data visualization tools and software to present findings effectively

- Strong problem-solving skills and attention to detail to ensure accurate data interpretations

- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field

- Ability to work collaboratively within a hybrid work environment

- Experience in the energy sector or a similar field is a plus

Data Science Specialist

Hearst Magazines, a division of Hearst, is the world's largest lifestyle publisher, with nearly 260 magazine editions and 200 websites globally, our portfolio includes iconic brands like Cosmopolitan, Harper's BAZAAR, Oprah Daily, and Good Housekeeping.

Hearst Magazines International, a unit of Hearst Magazines, encompasses eight owned and operated businesses, nine joint ventures and 40 license partners across 47 countries. Together, we are welcomed into the lives of millions around the world with our portfolio of nearly 200 editions.

Industry: Media Production
Company Size: 1,001-5,000 employees

Hearst Magazines

**Job Description**

**Be Part of What’s Next ****Senior Applied Data Scientist, BI Engineering**

Help shape the next evolution of Hearst Magazines’ analytics maturity—moving from descriptive reporting to predictive and prescriptive insights that power smarter decisions. In this role, you’ll bridge BI Engineering and Data Science to build scalable models, simulations, and optimization frameworks that drive revenue growth, audience engagement, and executive decision-making.

**About Hearst Magazines (Why Us?)**

Hearst Magazines’ portfolio of more than 30 iconic brands in the U.S.—including Cosmopolitan, ELLE, Esquire, Good Housekeeping, Harper’s BAZAAR, and Popular Mechanics — inspires, entertains, and builds new and bold experiences for an engaged and growing audience across digital, video, social and print, reaching nearly 130 million readers and site visitors each month. With sophisticated content creation, cutting-edge technology, and industry-leading data capabilities, we make media and products that move people across all platforms. We are a global media company that publishes nearly 200 magazine editions and 175 websites around the world—and together, we are shaping what’s next.

**Key Responsibilities (What You’re Doing)**

-  Develop and maintain analytical and semantic layers and data models that integrate, clean, and transform data from multiple sources into unified, analytics-ready datasets that enable fast querying for reporting and analysis.

-  Contribute to the organization’s data maturity roadmap by evolving the BI foundation from descriptive toward predictive and prescriptive analytics.

-  Partner with BI Engineering to leverage governed analytical and semantic layers in BigQuery.

-  Collaborate with BI Engineers to operationalize model outputs as analytical tables or scheduled DBT/Airflow jobs.

-  Develop and validate predictive and prescriptive models that translate business questions into actionable insights for strategic and operational decision-making.

-  Build “what-if” simulations and optimization frameworks to evaluate business scenarios and guide planning.

-  Conduct statistical analysis to assess the quality, consistency, and health of datasets, ensuring reliable inputs for modeling and decision support.

-  Design and analyze controlled experiments to measure the impact of product, audience, or marketing initiatives.

-  Present results and recommendations through clear visualizations, concise narratives, and executive-facing summaries.

**Qualifications (What We’re Looking For)**

-  3–6 years of experience in applied data science, predictive analytics, or quantitative modeling.

-  Proficiency in Python (Pandas, Scikit-Learn, Statsmodels, Prophet) and SQL (BigQuery preferred).

-  Hands-on experience with statistical, forecasting, and optimization techniques applied to real-world business challenges.

-  Ability to perform data quality assessments and statistical diagnostics to monitor the health and stability of analytical datasets.

-  Strong understanding of experimentation design, causal inference, and model evaluation methods.

-  Familiarity with data orchestration and modeling tools such as DBT, Airflow, or similar.

-  Comfortable working within a cloud data warehouse environment and collaborating closely with BI and Engineering teams.

-  Excellent communication and data storytelling skills — able to translate complex models into clear business insights. Nice to have: experience in digital media, marketing analytics, or revenue optimization; familiarity with Looker or other semantic-layer tools.

-  In-office requirement: New York-based, hybrid role with 4 days per week in the office.

**Preferred Skills:**

-  Exposure to marketing, media, or commerce analytics, including traffic, audience, or revenue optimization use cases.

-  Understanding of Bayesian statistics, time-series forecasting, or optimization methods for scenario simulation.

-  Experience building forecast validation and monitoring frameworks to track model drift and accuracy over time.

-  Working knowledge of data visualization and narrative storytelling best practices (e.g., Looker, Tableau, or custom Python visualizations).

-  Familiarity with GCP tools (BigQuery, Cloud Composer, Vertex AI Workbench, etc.) or equivalent AWS/Azure environments.

-  Interest in generative AI and LLM applications that enhance business intelligence (e.g., automated insights, natural-language querying).

**Benefits (What We Offer)**

At Hearst Magazines, we invest in your success and well-being—professionally and personally. Benefits include:

-  Work with the Best: Collaborate with top-tier professionals across media, advertising, tech, fashion, lifestyle, and publishing, shaping the future of these dynamic industries.

-  Grow Your Skills: Unlock your potential with access to innovative training programs, immersive workshops, and exclusive industry events.

-  Work-Life Harmony: Enjoy the flexibility of hybrid work, empowering you to balance professional success with personal priorities.

-  Foster Connection & Belonging: Join our Employee Resource Groups and help create a welcoming workplace where everyone feels valued and empowered.

-  Wellness First: Prioritize your well-being with a comprehensive benefits package that includes medical, dental, and vision insurance from Day 1.

-  Plan for Your Financial Future: Enjoy competitive financial perks, including a 401(k) plan with a generous company match.

The base salary for this role is between $133,000 - $178,000. The actual base pay offered is dependent upon many factors, such as: transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future.

Hearst is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.

Senior Applied Data Scientist

HG Insights, the provider of data-driven insights to 75% of tech companies in the Fortune 100, is your go-to-market Technology Intelligence partner. 

We use advanced insights into Technology Intelligence — on IT spend, technographics, cloud usage, intent signals, Functional Area Intelligence, and contract details — to provide global B2B companies with a better way to analyze markets and target prospects. Our customers achieve unprecedented results in their marketing and sales programs thanks to the indexing of billions of unstructured documents each day with insights into product adoption, usage, spend data, and more to build high-resolution maps of activity across an organization’s entire digital infrastructure to power business decisions with precision and confidence.

Industry: Software Development
Company Size: 51-200 employees

HG Insights

**About HG Insights **

HG Insights is the pioneer of Revenue Growth Intelligence. For more than a decade, we have delivered comprehensive, AI-driven datasets on B2B buyers, technology adoption, IT spend, and buyer intent, sourced from billions of data points. Today, we are a trusted partner to Fortune 500 technology companies, hyperscalers, and innovative B2B vendors seeking precise go-to-market analytics and decision-making.

Through an evolving suite of AI agents that incorporate first-party data and buyer signals, HG Insights enables AI-powered GTM automation across sales, marketing, RevOps, and data analytics teams, modernizing GTM execution from strategy through activation.

**Role Overview **

The Staff/ Senior/ Applied Data Scientist - Research is a collaborative analytical partner to the Head of Data Science, contributing to the design and validation of GTM insights that power the Contextual Intelligence initiative.

You will co-develop insight logic, selecting signals, designing scoring frameworks, prototyping models in Python, and validating outputs. You will also contribute to the production-ready briefs that are implemented in the data production pipeline by the engineering team.

This role sits at the intersection of statistical modeling, structured data analysis, and applied AI. You are comfortable reasoning about how to measure something rigorously, how entities and relationships in a knowledge graph can be leveraged, and how to use LLMs as a practical tool in the insight development workflow, not as a subject of research, but as part of the toolkit.

**What You Will Do **

**Insight & Model Development **

- Co-develop scoring frameworks and metrics models, contributing to signal selection, weighting logic, and model structure across a range of GTM insight types (acquisition, expansion, retention, strategic)

- Prototype insight logic in Python notebooks: assembling features from HG's structured data assets, implementing model components, and stress-testing outputs.

- Design and run validation experiments to confirm that insight outputs are directionally correct, well-calibrated, and meaningful across the full vendor universe

- Contribute to ontology and entity design, thinking through how vendors, products, companies, and relationships should be structured to support a given insight, informed by a conceptual understanding of the knowledge graph schema

**Production Brief Development **

- Translate insight designs into clear, implementation-ready production briefs

- Document model specifications precisely: component definitions, feature engineering, aggregation logic, edge case handling, and expected output distributions

- Participate in handoff reviews with the production function, answering implementation questions and refining specs based on feasibility feedback

**Insight Research & Discovery **

- Contribute to the prioritized insights catalog, researching new insight ideas, assessing data availability, and framing feasibility

- Stay current on GTM data science approaches, competitive intelligence methodologies, and relevant analytical techniques that could expand the insight library

**What We're Looking For **

**Core Skills **

- Statistical modelling depth: Ability to design and implement a range of scoring and metrics models from first principles; comfortable with component weighting, normalization, signed rate-of-change metrics, composite aggregation, and distribution analysis; knows when a technique is appropriate and why

- Python for analytical prototyping: Strong notebook-based Python for data manipulation, feature construction, model prototyping, and output validation; pandas, NumPy, and Scikit are daily

- SQL: Proficient in querying structured data at scale; used for signal extraction, feature derivation, and validation checks across large vendor and company datasets

- Analytical rigor & validation thinking: Ability to critically evaluate whether a model is measuring what it claims to measure; designs validation experiments, checks edge cases, and flags when outputs don't pass a sanity check

- Clear technical communication: Able to translate analytical logic into precise written specifications; the production brief is a key deliverable

**Applied AI & Graph Literacy **

- LLM API usage: Hands-on experience using Claude, GPT, or equivalent APIs as a practical tool; can design effective prompts, integrate LLM steps into an analytical workflow, and evaluate output quality critically

- Knowledge graph concepts: Conceptual understanding of how entities, relationships, and properties are structured in a graph; able to reason about how graph-derived features (e.g., vendor-product-company traversals) should inform insight design, without necessarily writing production Cypher

**Nice to Have **

- GTM/Management Consulting, or IT Research experience, familiarity with concepts like install base, intent signals, competitive intelligence, and market analysis. Experience writing Cypher or querying graph-structured data directly

- Experience working collaboratively with engineering, product and GTM teams

- Experience in a B2B SaaS or data products environment

**Tools & Environment **

**Primary **

- Python (pandas, NumPy, scipy, Jupyter)

- SQL

- LLM APIs (Claude, GPT)

- Git and version control

**Working Knowledge **

- Databricks

- Cloud storage

- Knowledge graph concepts

Staff/Senior Applied Data Scientist - Research

We help our customers enable the full value of connectivity by creating game-changing technology and services that are easy to use, adopt and scale. Our comprehensive portfolio ranges across Networks, Digital Services, Managed Services and Emerging Business; powered by 5G and IoT platforms.

Industry: Telekommunikation
Company Size: Fler än 10 001 anställda

Ericsson

**Join our Team**

**Ericsson Inc. does not sponsor U.S work authorizations for this job position including U.S. immigration filings for initial and/or change of employer paperwork for H-1’s, H-1B1’s, E-3’s, O-1’s, and TN’s. Ericsson also does not hire F-1’s working on CPT or EAD for this position.**

**About this opportunity:**

We’re seeking an AI Data Scientist for the Americas AI Acceleration Hub within Ericsson’s Strategic Projects & Transformation unit, collaborating closely with data engineers and solution architects to turn high‑volume datasets into actionable insights that drive decisions and outcomes. This role emphasizes strong grounding in traditional ML and statistical methods (e.g., classification, regression, forecasting, linear programming), with functional use of GenAI where it adds clear value. You will primarily consume high‑quality data delivered by engineering teams and be accountable for the insights, models, and recommendations derived from that data.

**What you will do:**

- Transform large, complex datasets into clear, actionable insights using statistical analysis and machine learning (classification, regression, time‑series forecasting, and optimization via linear programming).

- Frame ambiguous business questions, propose analytical approaches, and deliver data‑backed recommendations — proactively identifying what insights matter without being prompted.

- Partner with data engineers to define data requirements and quality expectations, consuming curated pipelines from enterprise data lakes (e.g., Snowflake) to ensure reliable inputs for modeling.

- Prototype, evaluate, and operationalize models; emphasize interpretability and measurable impact over deployment alone.

- Apply GenAI selectively to augment workflows (e.g., text feature extraction, summarization, NLQ-to-insight prototypes, and data quality triage) and solutions; communicate tradeoffs between traditional ML and GenAI to non‑technical stakeholders.

- Validate data fitness for modeling (e.g., profiling, anomaly detection, leakage checks, and data quality rules) in partnership with data engineering.

- Collaborate with solution architects to integrate models into end‑to‑end systems that meet scalability, security, and compliance expectations.

- Communicate results through concise narratives, visuals, and “so‑what” recommendations that inform business strategy (e.g., segmentation and targeting strategies).

- Create repeatable prototypes and success stories that encourage adoption across teams and use cases.

**Skills you'll bring:**

- 6–8 years of professional experience in data science/ML, often progressing from data engineering into data science; demonstrated hands‑on impact is essential.

- Bachelor’s degree (or equivalent experience) in a quantitative field; emphasis on practical, hands‑on problem solving over pedigree alone.

- Strong proficiency in Python and/or R for modeling and analysis, including applied experience with statistical methods and core ML techniques (classification, regression, forecasting, optimization).

- Proven ability to derive insights from large datasets (hundreds of thousands to millions of rows) and translate findings into business actions.

- Experience working with data provided through enterprise pipelines and data lakes (e.g., Snowflake) in collaboration with data engineering teams.

- Clear, structured communication skills; ability to explain methods, assumptions, and trade‑offs to technical and non‑technical partners.

**Preferred Qualifications**

- Exposure to GenAI tools and APIs (e.g., OpenAI, Hugging Face) as a complement to traditional ML skills.

- Familiarity with cloud ecosystems used across the organization, in partnership with engineering

- Domain exposure in telecom/network analytics or adjacent enterprise domains (e.g., operations, supply chain, finance) to contextualize features, constraints.

- Experience with experimentation and model evaluation frameworks.

**What happens once you apply?**

Click Here to find all you need to know about what our typical hiring process looks like.

Ericsson uses a merit-based hiring approach that values people with different experiences, perspectives and skillsets. We truly believe this approach drives innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity employer, learn more.

If you need assistance or to request an accommodation due to a disability, please contact Ericsson at hr.direct.americas@ericsson.com.

**DISCLAIMER: ** The above statements are intended to describe the general nature and level of work being performed by employees in this position. They are not an exhaustive list of all responsibilities, duties and skills required for this position, and you may be required to perform additional job tasks as assigned.

**Primary country and city: ** United States (US) || Plano (Country/ City)

**Job details: ** Data Scientist

**Compensation And Benefits At Ericsson**

At Ericsson, we know that our people are the key to our success. We offer a competitive package to help with your individual needs and goals.

**Your Pay**

The salary range for this position is dependent on various factors including, but not limited to, location, and the candidate’s combination of job-related knowledge, qualifications, skills, education, training, and experience.

**Short-Term Variable Compensation Plan: ** Your pay also includes the opportunity for an annual bonus. Actual bonus payouts are based on performance of the business against the unit’s objectives, individual performance, and the individual bonus target. Certain eligibility and pro-ration rules apply.

**Your Health**

Ericsson offers excellent health benefits including the choice of three medical plan options and a dental plan option that allow an employee to select the level of coverage that suits their needs. Employees will receive company credits in an amount equal to the cost that Ericsson pays toward the cost of their medical and dental premiums for themselves and eligible covered dependents.

**Your Financial Security**

We invest in both your short and long-term financial wellbeing. The Ericsson US 401(k) Plan offers an automatic 3% company contribution and Ericsson match $1 for every $1 you put into the 401(k) Plan on the first 3% of your eligible pay, plus 50 cents on every $1 on the next 2% of eligible pay. When you contribute at least 5% of eligible pay, you are receiving Ericsson’s full matching contributions of 4%. Matching and company automatic contributions stop when your total eligible pay for the year reaches the IRS limits. Employees will also receive company credits in an amount equal to the cost of basic life insurance and basic accidental death and dismemberment coverage, as well as short-term and long-term disability coverage. Employees also have the option to participate in Ericsson’s Stock Purchase Plan.

**Your Time**

Your work-life balance is important to us. New employees are provided a minimum of 15 days of accrued vacation, up to 3 personal days per year, 11 annual holidays, 8 hours of volunteer time, and 80 hours of sick time annually. Please note paid time off is pro-rated based on the employee’s start date. Furthermore, Ericsson provides up to 16 weeks of paid maternity leave and 6 weeks of parental or adoption leave at 100% of pay.

**Additional Benefits**

Ericsson offers many other company-paid benefits such as financial wellness programs, educational assistance, matching gifts, and recognition programs.

AI Data Scientist

Mayo Clinic has expanded and changed in many ways, but our values remain true to the vision of our founders. Our primary value – The needs of the patient come first – guides our plans and decisions as we create the future of health care. Join us and you'll find a culture of teamwork, professionalism and mutual respect, and most importantly, a life-changing career.

Mayo Clinic was founded in Rochester, Minnesota by brothers Dr. William James Mayo and Dr. Charles Horace Mayo. More than 100 years later, their vision continues to evolve around a single guiding value: "The needs of the patient come first." Today we are the largest integrated, not for-profit medical group practice in the world.

We are recognized for high-quality patient care more than any other academic medical center in the nation. These endorsements are very gratifying, but also humbling. They remind us of the tradition that has been entrusted to each one of us, and the legacy of excellence that we uphold every day.

Industry: Hospitals and Health Care
Company Size: 10,001+ employees

Mayo Clinic

City Rochester

State MN

Remote YES

Department Mayo Clinic Platform

**Why Mayo Clinic**

Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans – to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.

**Benefits Highlights**

- Medical: Multiple plan options.

- Dental: Delta Dental or reimbursement account for flexible coverage.

- Vision: Affordable plan with national network.

- Pre-Tax Savings: HSA and FSAs for eligible expenses.

- Retirement: Competitive retirement package to secure your future.

**Responsibilities**

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in order to discover new patterns and insights having an impact upon patient health and augmenting human capabilities. Candidate has expertise in AI, machine learning, deep learning, statistical data processing, regression techniques, neural networks, decision trees, clustering, pattern recognition, probability theory and data science methods used to analyze data.

May work with knowledge architects, informaticians and clinicians at Mayo, and partner outside companies to develop and deploy applications to bring AI and analytic solutions to nontechnical users, often at the point of care. Applies and modifies existing scripts or software applications to support data management, data extraction, data analysis, and AI as required May develop predictive models on datasets to address various business problems by leveraging statistical modeling, operations research, machine learning, or data mining techniques. May provide Consultative Services to departments/divisions and/or support scientific projects under the guidance of a designated senior level data scientist.

**Other Responsibilities**

- Provides data insights for business problems that can be approached with analytics techniques to collect, explore, and extract insights from structured and unstructured data.

- Has expertise in the data science methods used to analyze data, and knowledge of data types, topics, and scientific challenges and approaches.

- Executes analytical procedures in the framework of a specific project work request.

- Creates or modifies scripts or software applications to support data management, data extraction and data analysis as required.

- Contributes to the interpretation of data analysis and to writing reports.

- Helps customers understand the data set and provide training and suggestions for improvement on the data request.

- Leverages communication and interpersonal skills and works with subject matter experts

- Presents findings in easy to understand terms for the business or clinical practice.

**This vacancy is not eligible for sponsorship/ we will not sponsor or transfer visas for this position. Also, Mayo Clinic DOES NOT participate in the F-1 STEM OPT extension program.**

**Qualifications**

A Bachelor’s degree in a relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative and a minimum of three years of professional or research experience in data science will be considered.

The preferred candidate will possess a Master’s degree or a PhD in a relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative field and a minimum of one year of professional or research experience in data. Demonstrated ability to develop predictive models to address various business problems through leveraging advanced statistical modeling, machine learning, or data mining techniques. May provide consultative services to departments/divisions and committees. Demonstrated application of several problem-solving methodologies, planning techniques, continuous improvement methods, and analytical tools and methodologies (e.g. machine learning, statistical packages, modeling, etc.) required. Incumbent must have ability to manage a varied workload of projects with multiple priorities and stay current on healthcare trends and enterprise changes. Interpersonal skills and time management skills are required. Requires strong analytical skills and the ability to identify and recommend solutions, advanced computer application skills and a commitment to customer service. Experience with data modeling and date exploration tools.

**Exemption Status**

Exempt

**Compensation Detail**

$102,336.00 - $143,270.40 / year.

**Benefits Eligible**

Yes

**Schedule**

Full Time

**Hours/Pay Period**

80

**Schedule Details**

Monday - Friday 10%+ travel may be required

**Weekend Schedule**

NA

**International Assignment**

No

**Site Description**

Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is.

**Equal Opportunity**

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the "EOE is the Law" . Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.

**Recruiter**

Joy Kundrata

Data Science Analyst

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