Senior Data Scientist

Job Title:            Senior Data Scientist
Job Location:     Hershey, PA
***May consider fully remote candidates***
***This position will be posted internally until the close of business on July 1st, 2022***
Summary:
The Enterprise Data Science organization drives value for Hershey by creating disruptive predictive and prescriptive solutions to the Enterprise for analytics and decision-making.
The Sr. Data Scientist will be working with Hershey business partners, technical engineers, data architects, and project managers to ensure data science standards adhere to company best practice and help to deliver rapid impactful benefits.
The Sr. Data Scientist will act as a trusted advisor for Hershey business partners to build new, data-driven, machine-intelligent capabilities that impact the business. You will work with large volumes of data, innovative technologies, and advanced methods to solve real business problems. You'll design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and the customer experience. You will work with a diverse team of business analysts, technical engineers, data architects, and project managers to deliver outcomes aligned with our business partner’s strategy. In addition, you will work directly with the Director of Data Science to ensure consistency and compliance of deliverables to frameworks and governance processes.
Applicants should have a strong background in machine learning, statistical modeling, feature discovery/selection, optimization, exploratory data analysis, data mining and pattern recognition.
Responsibilities:
Data Science Solution Delivery:
Contribute to the agile delivery of business partner strategic roadmaps using best practice data science methods, frameworks, and governance processes
Data Science Domain:
Collaborate with IT and business partners to define, manage and deliver innovative data science solutions to drive growth and adoption of capabilities at Hershey
Data Science Advocacy:
Evangelize future data science solutions identified by Enterprise Data leadership, including innovations such as: machine learning, statistical modeling, feature discovery/selection, optimization, exploratory data analysis, data mining and pattern recognition
Lead and coordinate key cross-functional data science efforts to accelerate value creation for agile execution team outcome delivery through machine learning
As part of a team, use machine learning (ML), deep learning (DL) and other analytical techniques to create scalable solutions for business problems
Interact with business partners, technologists and engineers define and understand business problems, help, and aid them to implement ML/DL algorithms when appropriate
Design, develop and evaluate highly innovative models for predictive learning, content ranking, and anomaly detection
Analyze and extract relevant information from historical data to help automate and optimize key processes
Work closely with technology, business, and engineering teams to drive model implementations and adoption of new algorithms
Using best practice guidance from the Enterprise Data team, oversee the health and evolution of agile execution team data science technologies
Strategic thinker with holistic vison, specific focus on automation of existing processes to drive key business performance
Able to articulate the holistic benefits of data science from a business perspective, while maintaining the relationship with business analysts, data architects, technical engineers, and project managers
Routinely meets with entire execution team (business analysts, data scientists, technical engineers, data architects, and project managers), business stakeholders and the Director for Data Science.  Occasionally meets with senior leaders Enterprise Data and with key business partners.
Minimum knowledge, skills and abilities required to successfully perform major duties/responsibilities:
Working knowledge of agile frameworks
Ability to manage multiple priorities, meet deadlines and produce quality results under pressure
Demonstrated leadership and managerial skills
Strong problem solving and analytical skills
Strong team player, change agent, and advocate
Excellent customer service skills
High energy self-starter
Excellent verbal and written communication skills
Minimum Education:
Masters in a STEM degree required, Ph.D. preferred
Minimum Experience Requirements:
3+ years of professional experience with applying quantitative research in optimizing human decisions using technologies like machine learning and/or deep learning
2+ years – using major machine learning/deep learning frameworks (e.g., Scikit-learn, PyTorch, TensorFlow and Keras) and algorithms (e.g., CNN, GAN, LSTM, RNN, XGBOOST)
2+ years of data engineering experience with modern big data analytics architectures (Hadoop, SQL, HIVE, Spark, etc.) on major cloud platforms (e.g., AWS, Azure, Google Cloud)
2+ years programming skill in Python, R, Scala or Java
Working knowledge with modern cloud-based data storage and compute environments (e.g., Snowflake, Databricks in Azure, AI-platform in GCP, etc.)
Experience deploying ML models into discovery/production environment to drive insights using MLOps a plus
Experience working in a agile delivery model a plus
Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques
Ability to communicate complex ideas in a clear, precise, and actionable manner
Excellent communication and presentation skills, with the ability to articulate new ideas and concepts to technical and non-technical partners
#LI-CW1


Data Scientist Co Op Spring

Location: Remote
Duration: Spring 2023
WHY HERSHEY?
The Hershey Company is a global fortune 500 company that is a recognized leader in the Consumer Packaged Goods industry. Our goal is to integrate students with our knowledgeable and successful teams in order to maintain a fresh perspective on an ever-changing world. Every day presents new challenges and opportunities to learn, grow and innovate. Are you up for the challenge? Are you ready to make a difference?
WHY SUPPLY CHAIN AT HERSHEY?
The Supply Chain organization at The Hershey Company has open internships for analytically minded, tech-savvy undergraduate and graduate students. Technology and analytics are elemental to all aspects of Hershey’s supply chain. Hershey has a diverse global team focused on providing robust innovative capabilities, partnering on analysis to drive successful business outcomes and embraces an entrepreneurial mindset to create an environment that is exciting, compelling, innovative and dynamic.
We are looking to fill a Data Scientist Co-Op role with the Supply and Demand Planning Center of Excellence.   This role will be focused on using implementing analytical methods through software to understand, improve and monitor our forecasting system and process.  Additional data related problems are continuously arising; additional opportunities will be available based on experience/skill level.  This work ensures the most accurate forecasts are being used to impact multiple facets of our supply chain planning.
RESPONSIBILITIES:

Collaborates with IT to prepare and manipulate structured and unstructured data for data discovery and mining from multiple, disparate, resources.

Builds high-end analytic models, utilizing supervised and unsupervised learning models, to support decision makers with data driven insights that address immediate business problems and objectives.

Creates informative visualizations that intuitively display large amounts of data and/or complex relationships.

Translates data analytics into coherent reports and presentations for internal and external customer with varying degrees of technical knowledge.

QUALIFICATIONS:

Passion for analytical problem solving.

Pro-active problem solver who continually asks why to understand root causes.

Experience with R or Python, SQL.

Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.

Knowledge of machine learning techniques and approaches (feature engineering, classification, clustering, decision trees, etc.).

Knowledge of time series analysis and forecasting a plus.

Familiar with software engineering tools and processes (git, repositories, containers, devops, PyCharm,etc.).

Quick learner through formal and self-guided education.

Ability to work in teams or individually.

Courage to challenge the status quo and take smart risks.

Excellent written and verbal communication skills for coordinating across teams.

EDUCATION:

Bachelors degree candidates in quantitative, STEM focused programs are preferred (e.g. Business, Computer Science, Engineering, Economics, Mathematics, Statistics)

Demonstrated experience with, and knowledge of, tools and techniques will also be considered.


Staff Machine Learning Scientist

Job Overview:
At Coursera, our Data Science team is helping build the future of education through data-driven decision making and data-powered products. We drive product and business strategy through measurement, experimentation, and causal inference. We define, develop, and launch the models and algorithms that power content discovery, personalized learning, and machine-assisted teaching and grading. We believe the next generation of teaching and learning should be personalized, accessible, and efficient. With our scale, data, technology, and talent, Coursera and its Data Science team are positioned to make that vision a reality.
We are looking for a Staff Machine Learning Scientist with expertise in fields of recommender systems, search ranking, and personalization to join our Data Science team. In this role, you will be responsible for developing and deploying state-of-the-art machine learning algorithms supporting recommendation, ranking and personalization applications. As a senior member of the team, you are expected to partner with the Product team to drive the AI vision for the mentioned applications for Coursera and furthermore, to provide technical mentorship to junior ML scientists in the team.
Responsibilities:

Develop and deploy state-of-the-art recommendation, search ranking and personalization ML/AI models
Use statistical and optimization techniques to build high performing recommendation, search ranking and personalization models
Partner with UX research, UX design and Product teams to understand customer behavior and incorporate the information into advancing your models
Partner with Product stakeholders to define a long-term AI vision for the recommendation, search ranking and personalization domains and help the Product stakeholders with the roadmap planning
Partner with Engineering team to establish a vision and support the development of an scalable ML infrastructure
Provide technical mentorship to junior ML Scientists and act as a technical leader for recommendation, search ranking and personalization domains

Basic Qualifications:

A college degree in Computer Science, Software Engineering, Mathematics or other related fields
5-7 + years of industrial experience developing advanced ML/AI models in one or more of the following areas:  recommender systems, search ranking, and personalization applications
3+ years of demonstrated experience independently balancing priorities and managing projects across multiple stakeholders
Strong proficiency in machine learning and deep learning technologies particularly with experience building large-scale ML applications, pipelines, model architecture design, training in recommendation and ranking
Strong Proficiency in data structures, algorithms and online experimentation. Proficiency in SQL and at least one programming language such as Python or Java.
Experience with distributed processing architecture and ML/data workflow management platform (Spark, Databricks, Airflow, Kubeflow, etc)
Excellent communicator - able to effectively deliver findings and recommendations to non-technical stakeholders in a clear and compelling fashion

Preferred Qualifications:

Ph.D. in Computer Science, Software Engineering, Mathematics or other related fields.
Experience in software system design.
Experience working with cloud-based solutions, especially AWS.
Knowledge in c++ or c# would be also preferred.

If this opportunity interests you, you might like these courses on Coursera:

Deep Learning Specialization
Machine Learning Engineering for Production (MLOps) Specialization

#LI-CAP1


Senior Machine Learning Scientist Search

Job Overview:
At Coursera, our Data Science team is helping build the future of education through data-driven decision making and data-powered products. We drive product and business strategy through measurement, experimentation, and causal inference. We define, develop, and launch the models and algorithms that power content discovery, personalized learning, and machine-assisted teaching and grading. We believe the next generation of teaching and learning should be personalized, accessible, and efficient. With our scale, data, technology, and talent, Coursera and its Data Science team are positioned to make that vision a reality.
We are looking for a Senior Machine Learning Scientist with expertise in fields of search ranking and personalization to join our Data Science team. In this role, you will be responsible for developing and deploying state-of-the-art machine learning algorithms supporting search relevance, ranking and personalization applications. As a senior member of the team, you are expected to partner with the Product team to drive the AI vision for the mentioned applications for Coursera and furthermore, to provide technical mentorship to junior ML scientists in the team.
Responsibilities:

Design, build and deploy state-of-the-art ML/AI models to improve search relevance, ranking and personalization experience.
Leverage large-scale data and ML/AI techniques to improve search relevance and ranking including indexing, query understanding, retrieval and ranking. Provide the user with results that best satisfies their intent and information seeking needs.

Work closely with Engineering team to establish a vision and support the development of an scalable ML infrastructure

Partner with Product partner and cross-functional team to understand customer behavior and incorporate the information into advancing your models
Partner with Product stakeholders to define a long-term AI vision for search relevance, ranking and personalization domains and help the Product stakeholders with the roadmap planning
Provide technical mentorship to junior ML Scientists in the team.

Basic Qualifications:

A college degree in Computer Science,  Information Retrieval, Machine Learning, Mathematics or other related fields
4+ years of industrial experience developing large-scale ML/AI models, applications, pipelines and architecture in search ranking and ML/AI personalization supporting  search applications.
3+ years of demonstrated experience working with product teams and other cross-functional teams.
Excellent knowledge in search and information retrieval fundamentals including indexing, query understanding, retrieval and ranking
Strong proficiency in data structures, algorithms and online experimentation.Strong proficiency in at least one modern programming language such as Python, Java, C, C++.  Proficiency in SQL.
Experience with distributed processing architecture and ML/data workflow management platform (Spark, Databricks, Airflow, Kubeflow, etc)

Preferred Qualifications:

Ph.D. in Computer Science, Information Retrieval, Machine Learning, Mathematics or other related fields.
Experience in software system design.
Experience working with cloud-based solutions, especially AWS.

If this opportunity interests you, you might like these courses on Coursera:

Deep Learning Specialization
Machine Learning Engineering for Production (MLOps) Specialization

#LI-MB2


Senior Data Scientist

A Senior Data Scientist in the core data science team is responsible for overseeing and contributing to the development of machine learning models and products that drive meaningful business value. The Senior Data Scientist is a leader within a business unit, which leverages their business knowledge and technical expertise to define and deliver on the vision of machine learning within their facet of the business. Senior Data Scientists are directly responsible for supporting other more junior Data Scientists who also operate in their business unit both technically and professionally.
Job Duties
Machine Learning and Statistical Applications
Build statistical and machine learning models using R and Python to improve products or accomplish business objectives
Utilize statistical methods to understand and communicate findings from complex datasets
Analyze and organize various data sources to assist in providing analysis that drives business outcomes
Prototype new ideas to quickly determine feasibility and business value
Leadership Responsibilities
Work with Product Management/Business Leadership to define data science roadmap within context of the business
Create presentations and other materials to assist in creating buy-in and understanding with non-technical stakeholders
Assist in developing more junior data scientists both technically and professionally
Lead business facing conversations that explain technical methodologies and implementations in a approachable manner
Additional Technical Responsibilities
Assist in implementing production level model applications
Collaborate with data engineers to collect new data and improve data quality
Gather data from enterprise data sources using SQL
Improve model delivery by continuing to develop data science standards for production level code
Continuous Learning
Research advancements in the field to discover new opportunities for development
Share findings and learning opportunities with fellow team members through mini-seminars and demonstrations


Data Scientist

The core data science team at Dick’s Sporting Goods is seeking a data scientist to support product teams within the technology organization.  Currently the team has a variety of work ranging from natural language processing to supply chain optimization, and is looking to continue to expand its footprint by bringing on another diverse teammate.
Machine Learning Applications & Analyses
Apply machine learning and data mining techniques to extract actionable insights from large-scale, high-dimensional data.
 Build and put into deployment algorithmic solutions that focus on improving the customer’s experience and driving value both in-store and on our website.
Compile data from disparate data sources leveraging both qualitative and quantitative data to build models.
Communicate complex analyses and models to all levels of leadership across the organization.
Client Liaison
Work with a variety of business units throughout the organization to help translate their requirements into specific model or research based deliverables.
Continue to improve communication and collaboration patterns amongst the various analytics teams and business units.
Continuous Learning
Research advancements in the field to discover new opportunities for development
Share findings and learning opportunities with fellow team members through mini-seminars and demonstrations


Senior Data Scientist

Analytica is seeking a Senior Data Scientist to support long term federal client engagement across health or federal financial regulatory environments.  The position will apply statistical programming, modeling, visualization techniques, data mining, and forecasting skills to analyze public sector use cases. The ideal candidate will enjoy engaging with stakeholders, learning their business problems, providing technical guidance, and evangelizing the team’s data science capabilities.
Analytica has been recognized by Inc. Magazine as the fastest-growing private US small business.  We work with U.S. government customers in health, civilian, and national security missions.  As a core member you’ll work with a diverse team of professionals to solution matters, architect nuisances, and come up with alternatives.  We offer competitive compensation with opportunities for bonuses, employer paid health care, training and development funds, and 401k match.
This position is supporting clients in the DC Metro area.
Requirements:
Feature Engineering and Attribute Evaluation - Candidate must demonstrate experience with identifying the key determinants for modeling that exist in the business process and within existing data sets, as well as selecting evaluation protocols (model techniques).
Pre-processing - Demonstrate the skills and experience to collect, clean, and prepare data sets for input into a computational model using technologies such as Python or R.
Modeling - Candidates will have practiced skills and experience selecting and applying modeling techniques to fit the business problem.  Ideal candidates should be able to apply machine learning (ML) supervised and unsupervised learning, regression, neural networks and deep learning, natural language processing, etc.
Validation - Candidates will have experience investigating, testing, reporting, and justifying model results.
Visualization – Candidates should be comfortable presenting the results of their modeling activities, depicting the insights realized, and explaining the relevance of their results to the organization’s business challenges

Qualifications:
Bachelor's degree in Statistics, Mathematics, Physics, Computer Science, or another quantitative field; Master's degree or PhD a plus
Seven (7)+ years in data science, data engineering, as a statistician, or a related quantitative field
Strong problem-solving skills, leveraging domain knowledge, information technology, and data science techniques
High degree of experience utilizing Python or R to support the development of complex advanced analytics use cases
Experience implementing unsupervised (e.g., clustering), semi-supervised (e.g., label propagation) and supervised learning (e.g., ensemble classifiers) algorithms, and when it is appropriate to use each is a strong plus
Ability to providing complex data analysis, evaluation and communication to identify and analyze complex financial, securities, tax or health data as required
Ability to implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms
Experience querying data from relational databases using SQL
Experience with development of predictive analytics models
Experience working in an Agile project management environment
Must be a U.S. Citizen and be able to obtain and maintain a security clearance

About ANALYTICA: Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. Founded in 2009 and headquartered in Bethesda, MD, the company is an established SBA certified HUBZone and 8(a) small business that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S.  Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at CMMI® Maturity Level 3 and is an ISO 9001:2008 certified provider.
As a federal contractor, Analytica is required to verify that all employees are fully vaccinated against COVID-19. If you receive an offer and are unable to get vaccinated for religious or medical reasons, you may request a reasonable accommodation.


Data Scientist

Analytica is seeking a Data Scientist to support one or more dynamic, long-term federal government data science programs.  The company works as a trusted advisor to U.S. federal government clients in health, civilian, and national security missions.  The ideal candidate will be comfortable as a key member of a multi-disciplinary team working in an Agile environment to produce advanced analytics solutions.
Analytica has been recognized byInc. Magazine as one of the 250 fastest-growing US small businesses for three consecutive years. We work with U.S. government clients to build data-driven products and cultures that make an impact on our daily lives. Analytica offers competitive compensation with opportunities for bonuses, employer-paid health care, unlimited training funds, and a 401k match.
Requirements:
Feature Engineering and Attribute Evaluation - The candidate must demonstrate experience with identifying the key determinants for modeling that exist in the business process and within existing data sets, as well as selecting evaluation protocols (model techniques).
Pre-processing - Demonstrate the skills and experience to collect, clean, and prepare data sets for input into a computational model using technologies such as Python or R.  Candidates will explain various methods you have applied using common pre-processing functions.
Modeling - Candidates will have practiced skills and experience selecting and applying modeling techniques to fit the business problem.  Ideal candidates should be able to apply machine learning (ML) supervised and unsupervised learning, regression, neural networks and deep learning, natural language processing, etc.
Validation - Candidates will have experience investigating, testing, reporting, and justifying model results.
Visualization – Candidates should be comfortable presenting the results of their modeling activities, depicting the insights realized, and explaining the relevance of their results to the organization’s business challenges

Qualifications:
Bachelor's degree in Statistics, Mathematics, Physics, Computer Science, or another quantitative field; Master's degree or PhD a plus
3+ years in data science, data engineering, as a statistician, or a related quantitative field
High degree of experience in Python to support the development of complex statistical use cases
Experience implementing unsupervised (e.g., clustering), semi-supervised (e.g., label propagation) and supervised learning (e.g., ensemble classifiers) algorithms, and when it is appropriate to use each is a strong plus
Experience pulling and organizing data from relational databases using SQL
Experience working in cloud environments such as AWS, Azure or Databricks
Experience working in an Agile project management environment
Must be a U.S. Citizen and be able to obtain and maintain a security clearance

About Analytica: Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. Founded in 2009 and headquartered in Bethesda, MD, the company is an established 8(a) small business that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S.  Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The Software Engineering Institute (SEI) appraises the company at CMMI® Maturity Level 3 and is an ISO 9001:2008 certified provider.
As a federal contractor, Analytica is required to verify that all employees are fully vaccinated against COVID-19. If you receive an offer and are unable to get vaccinated for religious or medical reasons, you may request a reasonable accommodation.


Data Scientist Advanced Analytics

Description
 Remote  - This position does not require employee to be on-site full-time to perform most effectively. The Employees role enables them to work off-site on a permanent basics. In the USA this is an employee who lives more than 100 miles from their designed, Primary worksite
 Staff Data Scientist
The Applied Analytics COE team is responsible for developing analytics-driven solutions to help GM Organizations achieve their business goals. The Staff Data Scientist will work as a member of a multi-disciplinary team of various experience levels that will be driving solution design, development, and deployment of analytic models in support of business facing analytic groups.  The team is responsible for both advanced analytics strategy and applied, project-based solutions, focusing on the company’s most critical business areas.
Responsibilities include the following:
 Work as a member of a cross-functional team to propose and implement high-impact data and analytic solutions that address business challenges across a variety of business units   Apply Data Science and Modeling techniques to drive data driven decision making and solve complex business problems:   Create breakthrough solutions, performing exploratory and targeted data analyses   Build predictive models and machine-learning algorithms   Analyze large amounts of diverse information to discover trends and patterns   Undertake preprocessing of structured and unstructured data   Monitor and sustain model effectiveness   Combine models through ensemble modeling   Present complex information using data visualization techniques     Plan and execute projects, including direction and oversight of technical work of Data Scientists and Senior Data Scientists   Work with diverse technical teams and provide data and analytic oversight to ensure project deliverables fulfill business needs and timing   Identify long-term technical innovations and collaborate with the Analytics Research COE   Act as a mentor to junior level Data Scientists and as an expert level resource for the team
Skills & Qualifications:
 Minimum seven years of experience developing, deploying and monitoring performance of large analytic data sets and statistical forecasting models   Minimum seven years of experience utilizing several of the following toolsets:    Scripting Languages:  Python or R   Machine Learning Libraries: TensorFlow, Scikit-Learn, Spark ML, or equivalent   Big Data Tools:  Hadoop, Spark, SQL and NoSQL Database experience   Data Visualization:  Tableau, Power BI or similar     Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality   Strong listening and communications skills   Highly collaborative work style   Ability to evaluate the big picture and solve business problems rather than focusing solely on metrics
Education and Experience:
 PhD. or Master’s degree in Mathematics, Statistics, Computer Science, Operations Research, Engineering, Economics, Data Science or other quantitative field   Preferred academic or work experience in a data-intensive field or industry

Additional Description
 Compensation:
 The median level of salary compensation for this role is   ($140,000).    Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits:   Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
#LI-Remote
 This position may be filled with a mid or senior level candidate.

About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We aspire to be the most inclusive company in the world. We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.
Benefits Overview
The goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others:• Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents;• Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family;• Company and matching contributions to 401K savings plan to help you save for retirement;• Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values; • Tuition assistance and student loan refinancing;• Discount on GM vehicles for you, your family and friends.
Diversity Information
General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers.   We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. GM is proud to be an equal opportunity employer.
We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.
Equal Employment Opportunity Statements
The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity (EEO) Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.


Machine Learning Scientist Open From Asst To Director Level

Imagine what we can DEVELOP with you
True leaders are always learning. Moody’s is home to information architects, thinkers, builders, and passionate problem solvers, a collection of diverse viewpoints working together to bring out our best. Join us. Forward Together.
Moody’s (NYSE: MCO) is a global integrated risk assessment firm that empowers organizations to make better decisions. Our data, analytical solutions and insights help decision-makers identify opportunities and manage the risks of doing business with others. We believe that greater transparency, more informed decisions, and fair access to information open the door to shared progress. Moody’s combines international presence with local expertise and over a century of experience in financial markets. Learn more atmoodys.com.
At Moody’s, we’re taking action. We’re hiring diverse talent and providing underrepresented groups with equitable opportunities in their careers. We’re educating, empowering and elevating our people, and creating a workplace where each person can be their true selves, reach their full potential and thrive on every level.  Learn more about our DE&I initiatives, employee development programs and view our annual DE&I Report at moodys.com/diversity
Moody’s Analytics provides financial intelligence and analytical tools supporting our clients’ growth, efficiency and risk management objectives. The combination of our unparalleled expertise in risk, expansive information resources, and innovative application of technology, helps today’s business leaders confidently navigate an evolving marketplace.
Department
Predictive Analytics –  AI/ML Group
In the Predictive Analytics AI group, we build data-driven, highly distributed machine learning systems. Our engineers and researchers are responsible for architecting and developing these ML services end-to-end overcoming unique challenges that involve building systems that have high throughput availability, consistency, and low latency. The Predictive Analytics AI Group is the central group in Moody’s Analytics comprising of researchers and engineers working together to build data-driven customer-facing products, as well as the necessary infrastructure to support the ML services following the industry leading practices. The group has worked on and built some award-winning AI products like Compliance Catalyst, Adverse Media Monitoring, Coronapulse, Quiqspread, News Edge 2.0, ESG and has participated in various internal automation initiatives.
Role/Responsibilities
Broadly, we are looking for colleagues who are passionate about:

Natural language processing

Information retrieval

Information extraction

Graph Neural Networks

Recommender systems

Knowledge graphs

Explainable AI

We’ll trust you to:

Research, Design, experiment, and evaluate algorithms as well as models using PyTorch, scikit-learn, Tensorflow, HuggingFace

Work on POCs and research prototypes

Provide thought leadership in machine learning

Represent Moody’s Analytics at scientific and industry conferences

Lead collaboration with colleagues and academia to publish research findings in leading academic venues such as ACL, EMNLP, NAACL-HLT, AAAI, KDD, CIKM, SIGIR, ECIR

Collaborate with colleagues on production systems and applications

Qualifications
You’ll need to have:

Ph.D. in CS, ML, Math, Statistics, Engineering, Quant, or relevant industry experience.

Publication record in top-tier academic conferences and journals

Proficiency in modern programming languages such as Python

Proficiency in leading research projects

Nice to have:

Experience with MLOPs technologies and workflows

Experience in working with engineering teams on taking research prototypes to production

Must be fully vaccinated for COVID-19 (i.e., at least 2 weeks after last dose) and, if hired, present proof of vaccination on start date, as determined by Moody’s.
Moody’s is an equal opportunity employer.  All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion, national origin, citizen status, marital status, physical or mental disability, military or veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law.  Moody’s also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws.  If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email accommodations@moodys.com.  This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications.
For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance.
This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act.
Click here to view our full EEO policy statement.  Click here for more information on your EEO rights under the law.  Click here to view our Pay Transparency Nondiscrimination statement.
For Colorado-based roles only: the anticipated base salary range for this position is $ [131,500] to $ [190,600], depending on factors such as experience, education, level, skills, and location. This range is based on a full-time position. In addition to base salary, this role is eligible for annual performance incentive compensation. Moody’s also offers a competitive benefits package, including not but limited to medical, dental, vision, parental leave, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, a discounted employee stock purchase plan, and tuition reimbursement.
Candidates for Moody’s Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position.  Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.


Applied Scientist

About the roleThe Prediction, Optimization, and Planning (POP) team builds Afresh's core replenishment technology. Our models are directly responsible for ordering millions of dollars of fresh inventory across the world every day. Fresh food ordering is an extremely complex high-dimensional decision-making problem. We face the complex challenges presented by decaying product, uncertain shelf lives, varying consumer demand, stochastic arrival times, extreme weather events, and tight performance constraints (to name a few). We tackle these problems with a mix of machine learning, large-scale simulation, and optimization technologies.

We are looking for an Applied Scientist to lead the R&D work at Afresh. You will take your existing knowledge of forecasting, simulation, and stochastic optimization and apply it to the challenging and important problem of perishable inventory control. You will research, implement, and rigorously validate improvements to our core replenishment system. This will include modeling consumer demand, item-level perishability, and complex multi-echelon supply chains. Your work will be visible from day one, will make a substantial impact on decreasing food waste, and will lead to fresher, healthier produce for millions of people across the world.

You will work on improving the core models of our system: demand forecasting, inventory optimization, and simulation. You will also lead research development for new product and business challenges. You will model the complex problems of inventory decay, promotions, price elasticity, and inventory uncertainty, and implement solutions to multi-stage and multi-echelon inventory optimization problems.
In your first 3 months, you will acquire an encyclopedic knowledge of perishable inventory control and Afresh's core decision making problem. You will gain proficiency in our data manipulation, transformation, and simulation tools, and you'll test an experimental improvement to our demand forecasting, ordering, or simulation models.
By the end of your first 6 months, you will have proposed, implemented, and rigorously validated an improvement to our core modeling system.
By the end of your first year, you will have led the implementation of fundamental changes to our core system and led research into new product areas (warehouse level replenishment, production planning).
We need to make optimal ordering decisions for millions of items for weeks at a time, and our system must be fault-tolerant to an extreme. Our partners rely on our system to order millions of dollars of inventory every week, and so your code must be rigorously validated, tested, and bug-proof. This is not an analytics team.

Skills and experience

5+ years of industrial or academic experience building systems that deal with large-scale decision making under uncertainty. Some possible prior research areas are inventory optimization, supply chain management, network optimization, forecasting, game theory, decision analysis, or stochastic and approximate dynamic programming.
Excellent communication and presentation skills. You should be able to explain complex mathematical ideas to product teams in plain English and easily translate business requirements into constrained optimization problems.
Ability to independently deliver high quality software implementations of your solutions in the Python data stack (numpy/torch/pandas/etc). Knowing Python before joining is not required.
PhD in Operations Research, Industrial Engineering, Computer Science, Electrical Engineering, or related quantitative field

The above represent attributes our ideal candidate possesses. We encourage all highly qualified candidates to apply, even if they do not fulfill all the listed criteria


Sr Data Scientist Data Science And Engineering Experimentation Dse

At Netflix, our mission is to entertain the world. With 200+ million paid members in over 190 countries enjoying TV series, documentaries, and feature films across a wide variety of genres and languages, Netflix is reinventing entertainment from end to end. We are revolutionizing how shows and movies are produced, pushing technological boundaries to efficiently deliver streaming video at a massive scale over the internet, and continuously improving and personalizing how content is presented around the globe.
We are seeking Sr Data Scientists for a range of teams within Data Science and Engineering. From owning experimentation within the Open Connect network, building sophisticated tools on a world-class experimentation platform to provide seamless quality of experience, driving Growth and Membership of Netflix Platform, to unlocking the power of data in highly creative editorial creative space, evaluating the performance and optimizing personalization algorithms to deliver recommendations or building sophisticated experimentation tools - we have a few areas within which we are seeking Data Scientists driven by curiosity and passionate about working with a range of stakeholders.
As a Data Scientist, you will be partnering with a diverse range of cross-functional business partners to uncover new opportunities, design, execute, and analyze experiments, and deliver solutions that have a significant business impact and implications for our users. You will help drive innovations through effective identification and application of analytics, causal inference, experimentation, and machine learning. This is a high-impact role in which you will have a direct influence on how product decisions are made.
In this role, you will:
Effectively identify and apply analytics, causal inference, experimentation, and machine learning techniques for given business problems Lead the design, analysis, and interpretation of experiments Proactively perform data exploration on engagement behaviors to discover future opportunitiesIdentify, compute and validate the appropriate metrics to measure success in a product areaCultivate strong partnerships with cross-functional stakeholders from product, engineering, operations, design, consumer research, etc.Present your research and insights to all levels of the company
We are looking for:
Advanced degree in Statistics, Mathematics, Physics, Economics or related quantitative field5+ years relevant experience with large scale data Strong statistical knowledge and intuition - ideally utilized in experimentation or other product analytics settingsStrong product knowledge and intuition - ideally utilized in consumer/ or user interface settings or internally serving technical audiences such as engineers.Demonstrated ability to communicate and drive product change across a variety of stakeholders Strong SQL skillsStrong Quantitative Programming skills in Python or RAbility to work independently and drive your own projectsAbility to communicate technical and statistical concepts clearly and concisely among audiences at many different levels.  Embodies the Netflix values while bringing a new perspective to continue improving our culturePlus: Experience in building real-world machine learning models with demonstrated impactPlus: Experience creating data products and dashboards such as TableauPlus: Experience in building causal inference solutionsPlus: Familiarity with software engineering practice and working with APIs
Curious to learn more? Thisblog post describes the role of experimentation at Netflix.


Associate Data Analyst Health Data Scientist R Gis Remote

Associate Data Analyst (Health Data Scientist,R/GIS,Remote)
Pharm-Pharmacy & Therapeutics - Pennsylvania-Pittsburgh - (22005508)
The University of Pittsburgh is seeking an Associate Data Analyst to assist the School of Pharmacy's Program Evaluation and Research Unit (PERU). The incumbent will conduct data management, data analysis, and the interpretation of data analyses on programs involving opioid use disorder, health system innovations, and suicide and injury prevention. Additionally, the incumbent will be responsible for providing advice to PERU programs and to outside stakeholders on data specifications, data use agreements, and data representation. The position requires the incumbent to work in collaboration with a multi-disciplinary team. The incumbent will be responsible for communication with county-level entities seeking assistance, conducting assessments of county-level systems, and gathering resources for developing overdose prevention initiatives.
Master's degree in statistics preferred. Experience with standard statistical programs, such as R, SPSS, SAS, STATA, Excel, is required. A Bachelor's degree can be substituted for the Master's with equivalent experience.  The University of Pittsburgh is an Affirmative Action/Equal Opportunity Employer and values equality of opportunity, human dignity and diversity. EOE, including disability/vets. The University of Pittsburgh requires all Pitt constituents (employees and students) on all campuses to be vaccinated against COVID-19 or have an approved exemption. Visit coronavirus.pitt.edu to learn more about this requirement.
Department Details This position requires a strong professional background in geospatial data management and analysis. The candidate should be able to demonstrate competence in geodatabase development, data transformation, and map design in dedicated GIS software such as ArcGIS Pro or QGIS, along with an understanding of basic cartographic principles. Experience with ArcGIS Online, Dashboards for ArcGIS, and geospatial packages in R (i.e., leaflet, tmap, rgdal, etc.) is strongly preferred.

Experience working with ethnically and culturally diverse populations is preferred.  A commitment to achieving healthcare diversity, equity, and inclusion is a must. Pitt is an Affirmative Action/Equal Opportunity Employer and values equality of opportunity, human dignity, and diversity. EOE, including disability/veterans.

Robust retirement savings plan, 11 Paid Holidays, Additional Paid Time Off for Winter Recess, Paid Parental Leave, Above-average Contribution toward Medical plans, Flexible Work Schedules.
Assignment Category Full-time regular
Job Classification Staff.Research.IV
Campus Pittsburgh
Minimum Education Level Required Master's
Minimum Experience Level Required 3-5 years experience
Work Schedule Flexible Schedule
Work Arrangement Remote: Teams working from different locations (off-campus).
Hiring Range TBD Based Upon Qualifications
Relocation Offered No
Visa Sponsorship Provided No
Background Check For position finalists, employment with the University will require successful completion of a background check
Child Protection Clearances Not Applicable
Required Documents Resume, Cover Letter
Optional Documents Not Applicable


Data Scientist Athletics

Data Scientist, Athletics (remote)
Pitt IT Analytics - Pennsylvania-Pittsburgh - (22007540)
Panthers Data and Analytics represents the University of Pittsburgh Athletics Department as a part of the University’s Pitt IT Analytics team. Our mission is to “Improve decision-making by managing data from source to strategy.”
We represent four domains in our framework: two on-field (administration and revenue generation) and two off-field (sports science and sports analytics).The position will work on projects across all domains. Projects could include data related to transactions, products, customers, player performance, sports events, and player movement.
The position will utilize Tableau, Alteryx, R and/or Python, and AWS to create analytics solutions.
The Pitt IT Analytics team is remote but often operates in conjunction with the University’s on-site business units. The candidate should be prepared to work based on the eastern time zone.
The position will regularly collaborate with other members of the broader Pitt IT Analytics team including data engineers and data scientists.
Pitt Information Technology (Pitt IT) creates experiences that delight, inspire, and empower people to impact education, research, and the broader community. Your efforts will be supporting a world-renowned teaching and research facility. Pitt IT is committed to representing the diverse community we serve; to value and promote equity, humanity, and diversity. We encourage qualified individuals to apply and join us in leveraging the strengths of people belonging to every race, ethnicity, nationality, religion, gender, gender-identity, neuro-variance, sexual orientation, age, disability, and veteran status.
Join the team responsible for strategy, implementation, and maintenance of technology at the University of Pittsburgh—ranked by Forbes among Amazon, CDW, Cisco Systems, Google, LinkedIn, and Microsoft as one of “America’s Best Large Employers.”Applicants should include salary requirements in cover letter.
Equivalent combinations of education, relevant experience, and industry certifications may be considered per University guidelines.
3+ years preferred of experience working with complex data sets using advanced statistics or machine learning; preference toward experience specifically in any of our sports domains: administration, revenue generation, sports science, or sports analytics.
Self-directed, motivated, and comfortable working in a fast-paced environment
Communicate technical and statistical concepts effectively with non-technical parties
Advanced knowledge of quantitative programming skills in Python or R
Advanced knowledge of SQL to extract, merge and synthesize disparate datasets
Working knowledge of data visualization and dashboarding; specifically with Tableau preferred
Experience with data lake architectures and related data and analytics services in AWS preferredExperience retrieving data from APIs preferred
The University of Pittsburgh is an Affirmative Action/Equal Opportunity Employer and values equality of opportunity, human dignity and diversity. EOE, including disability/vets. The University of Pittsburgh requires all Pitt constituents (employees and students) on all campuses to be vaccinated against COVID-19 or have an approved exemption. Visit coronavirus.pitt.edu to learn more about this requirement.
Department Details Applicants (incl. internal) must include complete employment history on application and attach a current resume specifically to this requisition #.

Pitt Information Technology provides innovative services that support teaching, learning, research, and administrative functions at the University of Pittsburgh. We are committed to leveraging University resources, to enhance the experience of students, faculty, and staff; drive the digitization of campus; facilitate community engagement; and accelerate regional impact.
Assignment Category Full-time regular
Job Classification Staff.Systems/Programmer.IV
Campus Pittsburgh
Minimum Education Level Required Baccalaureate
Minimum Experience Level Required 3-5 years experience
Work Schedule M-F bus hrs EST. On occasion, some evening and weekend work may be necessary depending on business load, project timeline requirements, etc.
Work Arrangement Remote: Teams working from different locations (off-campus).
Hiring Range TBD based on qualifications
Relocation Offered No
Visa Sponsorship Provided No
Background Check For position finalists, employment with the University will require successful completion of a background check
Child Protection Clearances Not Applicable
Required Documents Resume
Optional Documents Cover Letter


Senior Data Scientist

Senior Data Scientist
The world’s first customer platform helping internet businesses accelerate growth☝
Intercom is the only suite of customer messaging products that drives growth at every stage of the customer lifecycle—across acquisition, engagement, and support. Today more than 30,000 businesses use Intercom to connect with a billion people worldwide.
Join the company helping businesses grow revenue through live chat, and so much more.
What's the opportunity? 🤔
The Research, Analytics & Data Science (RAD) team at Intercom use data and insights to drive evidence based decision-making. We're a team of data scientists and product researchers who use data — both big and small — to unlock actionable insights about our customers, our products and our business. We generate insights that build customer empathy, drive product strategy and shape products that deliver real value to our customers. If you get really excited about asking the right questions, exploring patterns in data and surfacing actionable insights that drive strategic decisions, then this role is for you.
Data Scientists in RAD partner with teams across R&D to help Intercom make sense of our users, our products and our business, using metrics and data. This role will enable you to drive key data projects that directly impact our customers and millions of end users who communicate via our messaging platform daily.
What will I be doing? 🚀

You’ll partner with product teams to help them identify important questions and answer those questions with data
You’ll work closely with product managers, designers and engineers to develop key product success metrics, to set targets, to measure results and outcomes, and to size opportunities
You’ll design, build and update end-to-end data pipelines, working closely with stakeholders to drive the collection of new data and the refinement of existing data sources and tables.
You’ll partner closely with product researchers to build a holistic understanding of our customers, our products and our business.
You’ll influence our product roadmap and product strategy through experimentation, exploratory analysis and quantitative research
You’ll build and automate actionable models and dashboards
You’ll craft data stories and share your findings and recommendations across R&D and the broader company
You’ll drive and shape core RAD foundations and help us improve how the RAD org operates

What skills do I need? 📖

4+ years experience working with data to solve problems and drive evidence-based decisions
Excellent SQL skills and good knowledge of statistics
Proven track record of initiating and delivering actionable analysis and insights that drives tangible impact with minimal supervision
Excellent communication skills (technical and non-technical) and a focus on driving impact
Strong growth mindset and sense of ownership. Innate passion and curiosity

Bonus skills & attributes 🙌

Experience with a scientific computing language (such as R or Python)
Experience with BI/Visualization tools like Tableau, Superset and Looker
Experience with data modeling and ETL pipelines
Experience working with product teams

Benefits 😍
We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! :)

Competitive salary and equity in a fast-growing start-up
Employer matched pension contribution
Company bonus programme
We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
Regular compensation reviews - we reward great work
Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
Open vacation policy and flexible holidays so you can take time off when you need it
Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
MacBooks are our standard, but we’re happy to get you whatever equipment helps you get your job done

We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organisation. We're committed to an inclusive and diverse Intercom! We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.


Data Scientist

Job Description
Our offices are open for a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.)
Our Mission:
To actively connect people to their next great opportunity.
Who We Are:
ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android.
Summary of Job:
We use statistical science to understand how to construct an efficient and optimized market, understand causality, and drive our future investment.  We use machine learning techniques to solve challenging problems so that we optimally match candidates and jobs.  This includes NLP and deep learning along with pragmatic use of simpler machine learning approaches and heuristics.
We're looking for an experienced Data Scientist with a passion for problem-solving to join our team of data scientists and help solve new and existing challenges. Coming up with new analysis and understanding, building models, developing high quality, high-performance code and constantly improving the solution and expanding its scope.
Key focuses:
You'll be joining a team of software engineers, data scientists, and ML engineers working on interesting problems in the fields of recommendations, search, and NLP.Develop production-level code that runs, trains, and maintains ML models.
Minimum Requirements:
Master's degree or higher in Computer Science / Mathematics / Statistics or equivalent3+ years of experience as a Data Scientist Proficiency in PythonStrong background in machine learning, preferably in NLP related fieldsFamiliarity with Deep LearningExperience with Linux environment and AWS Team player with excellent communication skillsActing and thinking as an owner, building code that will run in production
As part of our team you'll enjoy:
Competitive salaryExceptional benefits packageFlexible Vacation & Paid Time OffEmployer-matched 401(k) plan
#LI-Remote
ZipRecruiter is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics.
Privacy Notice: For information about ZipRecruiter's collection and processing of job applicant personal data for this job, please see our Privacy Notice at: https://www.ziprecruiter.com/careers/job-applicant-privacy-notice
Company Description
ZipRecruiter is the fastest growing employment marketplace.  We have helped over 1 million businesses and 100 million job seekers find their next perfect match through partnerships with the best job boards on the web, curated email alerts, award-winning mobile apps, and the world’s best search algorithm for jobs.
ZipRecruiter
ZipRecruiter is the fastest growing employment marketplace.  We have helped over 1 million businesses and 100 million job seekers find their next perfect match through partnerships with the best job boards on the web, curated email alerts, award-winning mobile apps, and the world’s best search algorithm for jobs.

Address
Los Angeles,
         CA
USA
Industry
Technology
Website

          https://www.ziprecruiter.com/careers

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Lead Staff Data Scientist

About the role
Data is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success.
Our Staff (i.e Lead) Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.
Qualifications
7-10 years of commercial experience in a data science role solving high impact business problems
You have well built technical experience that inspires individual contributors  creativity and innovation.
You have experience with product leadership and technical decision making.
You have been working closely with various levels of business stakeholders, from c-suite and down.
You can jump into the code on a deep level, but are also able to contribute to long term initiatives by mentoring your team.
Multiple work streams excites you, you are able to use ambiguity as an opportunity for high level thinking.
Experience creating data product strategies, data products, iterating after launch, and trying again.
Extensive experience using Python including a strong grasp of object oriented programming (OOP) fundamentals
What would be great if you have:
Previous experience using Spark.
Experience with statistical methods like regression, GLMs or experiment design and analysis.
Exposure to Tableau, QlikView, Mode, Matplotlib, or similar data visualization tools.
All your information will be kept confidential according to EEO guidelines.
If you’re interested in helping us shape the future of commerce at Shopify, click the “Apply Now” button to submit your application. Please submit a resume and cover letter with your application. Make sure to tell us how you think you can make an impact at Shopify, and what drew you to the role.
As there are multiple positions, this posting will remain live until all positions have been filled. Successful candidates can expect to hear back from us within 2 weeks of application.#LI-REMOTE
Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.
At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.


Principal Data Scientist Optum Digital

Combine two of the fastest-growing fields on the planet with a culture of performance, collaboration and opportunity and this is what you get. Leading edge technology in an industry that's improving the lives of millions. Here, innovation isn't about another gadget, it's about making health care data available wherever and whenever people need it, safely and reliably. There's no room for error. Join us and start doing your life's best work.(sm)     Make digital experiences in healthcare easier for members by applying data science methods to diverse data sources.  Apply your knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement. Work with analytics, statistical software, and database technologies such as Python, Spark, Databricks, and others to perform analysis and interpret data.
General Job Profile
Company thought leader Functional SME Broad business approach Resource to senior leadership Develops pioneering approaches to emerging industry trends
You’ll enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.
Primary Responsibilities:
Develop actionable machine learning solutions and propose recommendations and strategies to solve commercial opportunities in unique ways that return optimal value to our business Assess internal data and processes to determine opportunities for application of advanced analytics for broad division-wide analytic usage  Participate in meetings with business stakeholders, data experts, software/platform engineering, and digital product teams to scope data science use-cases and convert them into scope of work  Be a storyteller to explain the ‘why and how’ of your data driven recommendations to cross-functional teams Be a hands-on leader and teach by example by building prototypes using variety of predictive methods while adhering to the ML development cycle (e.g. iterative EDA, prediction specification, feature engineering and model tunning) Self-drive knowledge accumulation of methods and modeling advances by reading research publications, blogs and attending presentations and webinars
You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:
Master's or Ph.D. degree in computer science, applied mathematics, (bio) statistics, applied statistics, economics, business, or similar quantitative fields of study 4+ years of hands-on experience in developing analytics with machine learning, deep learning, NLP, and/or other related modeling techniques 3+ years of experience using advanced data science tools such as Python, R, SQL, Spark and H2O 3+ years of experience managing analytical or data science resources 3+ years of experience wrangling large datasets with big data tools such as Hadoop, Hive and Spark 3+ years of experience developing and deploying analytic solutions using AWS/Azure/GCP Ability to travel up to 5% (approximately once or twice a year for onsite meetings) when business requires Full COVID-19 vaccination is an essential job function of this role. Candidates located in states that mandate COVID-19 booster doses must also comply with those state requirements. UnitedHealth Group will adhere to all federal, state and local regulations as well as all client requirements and will obtain necessary proof of vaccination, and boosters when applicable, prior to employment to ensure compliance. Candidates must be able to perform all essential job functions with or without reasonable accommodation
Preferred Qualifications:
Experience with health care data Experience with Databricks / Jupyter notebooks Experience with version control (for example Git Version Control system)  Experience working in an agile environment UI design experience for automated and-or end-user-interactive visualizations (for example using Tableau, Power BI, R Shiny, Python Dash)
To protect the health and safety of our workforce, patients and communities we serve, UnitedHealth Group and its affiliate companies require all employees to disclose COVID-19 vaccination status prior to beginning employment. In addition, some roles and locations require full COVID-19 vaccination, including boosters, as an essential job function. UnitedHealth Group adheres to all federal, state and local COVID-19 vaccination regulations as well as all client COVID-19 vaccination requirements and will obtain the necessary information from candidates prior to employment to ensure compliance. Candidates must be able to perform all essential job functions with or without reasonable accommodation. Failure to meet the vaccination requirement may result in rescission of an employment offer or termination of employment.
Technology Careers with Optum. Information and technology have amazing power to transform the health care industry and improve people's lives. This is where it's happening. This is where you'll help solve the problems that have never been solved. We're freeing information so it can be used safely and securely wherever it's needed. We're creating the very best ideas that can most easily be put into action to help our clients improve the quality of care and lower costs for millions. This is where the best and the brightest work together to make positive change a reality. This is the place to do your life's best work.(sm)
Colorado, Connecticut or Nevada Residents Only: The salary range for Colorado residents is $97,300 to $176,900. The salary range for Connecticut / Nevada residents is $97,300 to $176,900. Pay is based on several factors including but not limited to education, work experience, certifications, etc. In addition to your salary, UnitedHealth Group offers benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with UnitedHealth Group, you’ll find a far-reaching choice of benefits and incentives.
*All Telecommuters will be required to adhere to UnitedHealth Group’s Telecommuter Policy.
Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.
UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.


Lead Nlp Data Scientist

Description
The Lead NLP Data Scientist leverages large sets of structured and unstructured data to develop tactical and strategic insights. The Lead NLP Data Scientist works on problems of diverse scope and complexity ranging from moderate to substantial.
Responsibilities
The Lead NLP Data Scientist:
Collaborates with analytic and data teams to set objectives, approaches, and work plans.
Researches and evaluates new analytical methodologies, approaches, and solutions.
Develops and validates statistical forecasting models and tools.
Interprets and communicates analytic results to analytical and non-analytical business partners and executive decision makers.
Advises executives to develop functional strategies (often segment specific) on matters of significance.
Exercises independent judgment and decision making on complex issues regarding job duties and related tasks, and works under minimal supervision.
Uses independent judgment requiring analysis of variable factors and determining the best course of action.
Required Qualifications
Bachelor's Degree in a quantitative discipline, such as Computer Science, Mathematics or Statistics and/or related field
8 or more years of professional experience leveraging large sets of structured and unstructured data to develop tactical and strategic insights
Experience developing natural language processing (NLP) models with the transformer architecture
Experience developing and validating statistical forecasting models and tools
Experience interpreting and communicating analytic results to analytical and non-analytical business partners and executive decision makers
Clear oral and written communication skills
Flexible, dynamic personality who works well in a team environment and is also able to lead individual contributors
Must be passionate about contributing to an organization focused on continuously improving consumer experiences
Preferred Qualifications
Master's degree or Ph.D. in a quantitative discipline, such as Computer Science, Mathematics or Statistics and/or related field
Healthcare or managed care experience
2 or more years of project leadership experience
Demonstrated experience with Python, Huggingface, Tensorflow, Pytorch, Spark or similar statistical tools
Experience performing data management, mining, and manipulation along with analytics
Additional Information
Humana and its subsidiaries require vaccinated associates who work outside of their home to submit proof of vaccination, including COVID-19 boosters. Associates who remain unvaccinated must either undergo weekly negative COVID testing OR wear a mask at all times while in a Humana facility or while working in the field.
#LI-Remote
Scheduled Weekly Hours
40
Humana complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our https://www.humana.com/legal/accessibility-resources?source=Humana_Website.


Lead Data Scientist People Analytics Strategy

Description
The People Analytics team at Humana takes a customer centric approach to optimizing talent outcomes and improving the associate experience. We provide advanced analytic products and consulting to our Enterprise business leaders and HR centers of excellence. Our passion for improving the associate experience is supported through a strategy of a strong data infrastructure, analytic product development, and advanced data science capabilities.
Responsibilities
The Lead Data Scientist will enhance and mature the vision of People Analytics at Humana. The lead drives analytic value by working with business customers to identify and prioritize advanced analytic use cases. They will deliver analytic output, design and develop new measures and predictive models to influence and guide people strategy across the enterprise. The lead will collaborate and consult with executives in the business, set objectives, inform strategy, and execute on a customer-centric approach of delivery.
Responsibilities
The Lead Data Scientist develops, maintains, and collects structured and unstructured data sets for analysis and reporting.
Creates reports, projections, models, and presentations to support business strategy and tactics.
Works directly with senior executives to develop and drive segment or enterprise-wide functional strategies.
Advises one or more areas, programs or functions and provides recommendations to senior executives on matters of significance, and as an advanced subject matter expert is able to work at very high levels across multiple knowledge and functional areas across the enterprise.
Required Qualifications
Master's degree and 4 or more years of experience in data analytics
2 or more years project and/or people leadership experience
Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions
Advanced proficiency in programming languages like SQL, Python, R, SAS, SPSS, etc.
Innovative thinker who can provide strategic advice and guidance to functional teams
Develop, maintain, and collect structured and unstructured data sets for analysis and reporting
Create reports, projections, models, and presentations to support business strategy and tactics
Successful demonstrated experience in working with senior executives to develop and drive segment or enterprise-wide functional strategies
Ability to advise one or more areas, programs or functions, as well as work at very high levels in multiple knowledge and functional areas across the enterprise
Must be passionate about contributing to an organization focused on continuously improving consumer experiences
Preferred Qualifications
PhD in Industrial and Organizational Psychology or a related field
10 or more years of experience in organizational consulting
5 or more years of experience working with organizational surveys and related research methodologies
Advanced knowledge of organizational theory, employee behavior, and psychometrics
Experience with people systems and technologies
Additional Information
Vaccine Policy:
For this job, associates are required to be fully COVID vaccinated, including booster or undergo weekly COVID testing and wear a face covering while at work. The weekly testing will need to be done through an approved Humana vendor, and unvaccinated associates should follow all social distancing and masking protocols if they are required to come into a Humana facility or work outside of their home. We are a healthcare company committed to putting health and safety first for our members, patients, associates, and the communities we serve.
If progressed to offer, you will be required to: Provide proof of full vaccination, including booster or commit to testing protocols OR   Provide proof of applicable exemption including any required supporting documentation. Medical, religious, state and remote-only work exemptions are available.
Work-At-Home Requirements:
WAH requirements: Must have the ability to provide a high speed DSL or cable modem for a home office. Associates or contractors who live and work from home in the state of California will be provided payment for their internet expense.
A minimum standard speed for optimal performance of 25x10 (25mpbs download x 10mpbs upload) is required.
Satellite and Wireless Internet service is NOT allowed for this role.
A dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information
Why Humana?
At Humana, we know your well-being is important to you, and it's important to us too. That's why we're committed to making resources available to you that will enable you to become happier, healthier, and more productive in all areas of your life. Just to name a few:
Work-Life Balance
Generous PTO package
Health benefits effective day 1
Annual Incentive Plan
401K - Immediate company match
Well-being program
Paid Volunteer Time Off
Student Loan Refinancing
If you share our passion for helping people, we likely have the right place for you at Humana.
Social Security Task:
Alert: Humana values personal identity protection. Please be aware that applicants being considered for an interview will be asked to provide a social security number, if it is not already on file. When required, an email will be sent from  Humana@myworkday.com  with instructions to add the information into the application at Humana's secure website.
Interview Format:
As part of our hiring process for this opportunity, we will be using an exciting interviewing technology called Modern Hire to enhance our hiring and decision-making ability. Modern Hire allows us to quickly connect and gain valuable information for you pertaining to your relevant skills and experience at a time that is best for your schedule.
If you are selected for a first round interview, you will receive an email correspondence inviting you to participate in a Modern Hire interview. In this interview, you will receive a set of interview questions over your phone and you will provide recorded or text message responses to each question. You should anticipate this interview to take about 15 minutes. Your recorded interview will be reviewed, and you will subsequently be informed if you will be moving forward to next round of interviews.
Scheduled Weekly Hours
40
Humana complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our https://www.humana.com/legal/accessibility-resources?source=Humana_Website.


Lead Data Scientist Ai Ml

Description
The role is within High Value Project team within Enterprise AI group. The team is focused on bringing the power of AI and ML to high value business problems, supporting 2-4 such initiatives at a given time. Lead Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions to support these high impact initiatives.
Responsibilities
Lead Data Scientist has a strong intuitive grasp of Artificial Intelligence (AI) and Machine Learning (AI /ML) as well as core product skills (strategy, roadmaps, prioritization, etc.). They help identify and prioritize the highest value applications for machine learning and do what it takes to make them successful. They plan and execute the necessary AI/ML-driven process changes and initiatives necessary to deliver a complete solution to a stated business problem.
Will own key initiatives & deliverables especially in Data Science application development & deployment in cloud-based environments.
Key responsibilities:
Own the development and delivery of data science models and solution
Act as an 'external facing' business translator whose combined expertise in technology and AI enable the development of custom solutions
Partner with project and product managers to design and deliver a solution to meet a business need
Collaborate with project and product managers to monitor the business impacts of deliverables, implementing changes as/when appropriate, to continuously improve reliability and efficiency
Contributes to the Analytics community's sharing of best practices
Help internal customers think through and clearly articulate business problems/needs and architects data science solutions
Required Qualifications
3+ years expert knowledge of Artificial Intelligence/Machine Learning models development, business plan implementation and ongoing scale/evolution management
Bachelor's degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)
Ability to leverage technology (e.g., SQL) to extract and manipulate data
Working knowledge and experience in statistical analysis packages Python, R
Build collaborative relationships with stakeholders and diverse, cross-functional teams/organizations to develop appropriate requirements, scope, and delivery time frames, driving on-time execution
Strong analytical thinker with the ability to deliver high-quality work in a structured, disciplined and time-conscious manner
Excellent interpersonal, verbal and written communication skills
Ability to operate in both strategic and tactical environments, accommodating for global-level needs
Preferred Qualifications
Advanced degree in a quantitative field (Statistics, Business Analytics, Mathematics, Operations Research, Engineering, Data Science)
Ability to analyzing, designing, and implementing large scale business and performance management solutions
Experience with Consumer Analytics
Additional Information
Vaccine Policy:
For this job, associates are required to be fully COVID vaccinated, including booster or undergo weekly COVID testing and wear a face covering while at work. The weekly testing will need to be done through an approved Humana vendor, and unvaccinated associates should follow all social distancing and masking protocols if they are required to come into a Humana facility or work outside of their home. We are a healthcare company committed to putting health and safety first for our members, patients, associates, and the communities we serve.
If progressed to offer, you will be required to: Provide proof of full vaccination, including booster or commit to testing protocols OR   Provide proof of applicable exemption including any required supporting documentation. Medical, religious, state and remote-only work exemptions are available.
Work-At-Home Requirements:
WAH requirements: Must have the ability to provide a high speed DSL or cable modem for a home office. Associates or contractors who live and work from home in the state of California will be provided payment for their internet expense.
A minimum standard speed for optimal performance of 25x10 (25mpbs download x 10mpbs upload) is required.
Satellite and Wireless Internet service is NOT allowed for this role.
A dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information
Why Humana? You'll experience the following perks as a full-time Humana employee:
Compensation and Financial Security -  Our pay philosophy is designed to motivate and reward associates for their skills and contributions to the company. We provide options to help you plan for your future and protect your assets: Competitive base pay, Recognition pay, 401(k) retirement savings plan (125% match for the first 6% contributed by an associate), etc.
Your Whole Health -  Humana's health products and services are designed to encourage personal wellness and smart healthcare decisions for you and your family: Medical, dental, and vision benefits, Health plan incentives, Paternity leave, etc.
Work Perks -  Humana knows your life extends outside of work. We have many options to support your interests and needs. Some departments have the flexibility to allow associates to work from home, and we offer all associates: Paid time off, holidays, volunteer time, jury duty pay, Associate charity matching program, Discount programs with major retailers, etc.
Grow With Us -  Humana provides growth and career opportunities that can help you develop your skills and build your future with the organization: Internal and external learning events, Tuition assistance, Inclusion and diversity training, etc.
Social Security Task:
Alert: Humana values personal identity protection. Please be aware that applicants being considered for an interview will be asked to provide a social security number, if it is not already on file. When required, an email will be sent from  Humana@myworkday.com  with instructions to add the information into the application at Humana's secure website.
Interview Format:
As part of our hiring process for this opportunity, we will be using an exciting interviewing technology called Modern Hire to enhance our hiring and decision-making ability. Modern Hire allows us to quickly connect and gain valuable information for you pertaining to your relevant skills and experience at a time that is best for your schedule.
If you are selected for a first round interview, you will receive an email correspondence inviting you to participate in a Modern Hire Text interview. In this interview, you will receive a set of interview questions via text. You should anticipate this interview to take about 15 minutes. Your recorded interview will be reviewed, and you will subsequently be informed if you will be moving forward to next round of interviews.
Scheduled Weekly Hours
40
Humana complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our https://www.humana.com/legal/accessibility-resources?source=Humana_Website.


Senior Data Scientist

Description
Humana's Clinical Analytics and Trend (CAT) Team is seeking a Senior Data Scientist (Remote).
Healthcare is rapidly changing, and our members are living longer, often with more chronic conditions. The Clinical Analytics & Trend team (CAT) identifies clinical saving opportunities and enables clinical solutions through an evidence-based approach using data science, clinical and business expertise, and rigorous study designs to improve health outcomes and lower costs for millions of senior lives. In this multi-disciplinary team, you'll have the opportunity to work closely with decision-marking executives and clinicians to shape Humana's enterprise clinical strategies and initiatives.
The Senior Data Scientist uses statistics, machine learning, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientists' work assignments involve moderately complex to complex issues where the analysis of situations and data requires an in-depth evaluation of variable factors. The Senior Data Scientist uses statistical and machine learning methods to develop sophisticated models based on large structured and unstructured data set, exercises considerable latitude in determining objectives and approaches to assignments while collaborating closely with clinicians and subject matter experts.
Responsibilities
Responsibilities
As a Senior Data Scientist, you will:
Leverage a wide range of analytics methods ranging from descriptive to prescriptive to transform high volumes of complex data into analytics solutions and actional insights
Work directly with aligned business partners in requirements definition, project scoping, study design, timeline management, results documentation, and maintain effective and professional working relationship
Leverage your curiosity, clinician partnerships, and Humana's data to define and quantify the root causes of poor clinical outcomes
Collaborate with multiple cross-functional teams to identify operational barriers and issues, and facilitate their resolution
Create reusable implementations of statistical tests and machine learning models using the available technologies in Humana's data ecosystem
Required Qualifications
Master's or PhD Degree in a quantitative discipline such as Epidemiology, Economics, Statistics, Data Science, Clinical Informatics, and/or related fields. Clinical degrees also preferred
Experience manipulating and analyzing various types of data using Python, SAS, R, or similar software
Experience using mathematics, statistics, modeling, experimental study design, and technology to transform high volumes of complex data into advanced analytic solutions
Demonstrated ability to assess the impact of clinical interventions on healthcare resource utilization and/or clinical indicators
History of solving problems, creating solutions and driving change within a team
Demonstrated strategic and analytical thinking
Ability to make decisions on moderately complex to complex issues regarding technical approach for project components
Clear and concise oral and written communication skills, with a proven ability to translate complex methodologies and analytical results to higher-level business insights and key takeaways
3 years of professional experience leveraging structured and unstructured healthcare data
Preferred Qualifications
Strong business acumen, including a deep understanding of healthcare payer economics
Experience working with medical, Rx, lab claims to extract clinical information for analytics and modeling purposes
Experience in Big Data environment specifically PySpark, Scala, or Microsoft Azure
Demonstrated familiarity with clinical concepts related to a broad range of clinical conditions and disease states - experience with oncology, behavioral health and chronic conditions would be particularly valuable
Demonstrated familiarity with observational study design and techniques such as retrospective cohorts, cross sectional, propensity score matching, difference-in-differences, etc.
Demonstrated familiarity with statistical tools such as variable selection and supervised/unsupervised ML
Work experience in a health care, health insurance, or consulting setting
Experience working with EMR data
Experience with clinical claims Episode Treatment Groupers
Scheduled Weekly Hours
40
Humana complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our https://www.humana.com/legal/accessibility-resources?source=Humana_Website.