Data Scientists at Direct to Consumer are the insights and modeling partners for the growth, content, marketing, product, and engineering teams at Disney+, Hulu, and ESPN+. They use data to empower decision-makers with information, predictions, and insights that ultimately influence the experiences of millions of users worldwide. Scientists on the team build models, perform statistical analysis, and create visualizations to provide scalable, persistent capability that is iteratively improved through direct interaction with cross-functional business partners.
As a Lead Data Scientist in the DTC (Direct-To-Consumer) Data Science team, you will be partnering closely with the Marketing, Subscriber Analytics, Finance, Business Operations, Commerce Product and Engineering teams to develop models for tackling a multitude of exciting challenges, including content/audience segmentation, customer lifetime value estimation, churn and upgrade prediction, signups and subscribers forecasting, fraud prevention and mitigation, payment optimization, causal inference, anomaly detection and much more! In this role you will also be working very closely with company executives and it requires the use of analytical abilities, business understanding, and technical savviness to identify specific and actionable opportunities to solve existing business problems through data modeling.
We are looking for someone with deep analytical and modeling expertise, a proven track record of thought leadership and eagerness to drive impact.
Responsibilities       Modeling : Design, build and improve machine learning models. Work end to end from data collection, feature generation and selection, algorithm development, forecasting, visualization and communicating of model results. Collaborate with engineering to productionize models. Drive experimentation to test impact of model based optimization.

Deep analysis : Develop comprehensive understanding of subscriber and payment data structures and metrics. Mine large data sets to identify opportunities for driving growth and retention of subscribers.

Visualization of Complex Data sets : Development of prototype solutions, mathematical models, algorithms, and robust analytics leading to actionable insights communicated clearly and visually.

Partnership : Partner closely with business stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data modeling, data visualization, experimentation and data architecture.

Basic Qualifications      Bachelor’s in Advanced Mathematics, Statistics, Data Science or comparable field of study.

7+ years of experience designing, building, and evaluating practical machine learning solutions.

Strong coding experience in one (or more) data programming languages like Python/R, additional experience with scientific libraries like Numpy, Pandas, or equivalent libraries a plus.

Strong background in statistical modeling: regression, time series analysis and other techniques.

Experience developing scalable mathematical models and solving complex quantitative problems that can be understood by non-mathematical colleagues.

7+ years experience with databases and data pulling tools (SQL, Vertica, Hive).

Willingness to adapt in fast-paced and quickly growing work environment.

Seasoned & resourceful problem solver who figures out how to get things done, even if it means navigating through ambiguity.

Preferred Qualifications      Advanced degree (Master’s or Ph.D.) in a quantitative discipline.

Excellent analytical skills, advanced level of statistics knowledge.

Strong expertise with Python and libraries such as scikit-learn, scipy.

Familiarity with Bayesian modeling and probabilistic programming packages such as PyMC.

Familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, Airflow, Github.

Familiarity with data exploration and data visualization tools such as Tableau, Looker.

Familiarity with designing and analyzing A/B testing and other experiment types.

Demonstrated skills in selecting the right statistical tools given a data analysis problem.

Ability to adapt quickly in a fast-moving environment with shifting priorities.

Strong communication skills, for both technical and non-technical audiences.

Ability to handle multiple tasks concurrently and in a timely manner, including large and complex ones.

Demonstrated leadership experience, including people and project management.

Experience in advanced ML techniques (neural nets, NLP, image processing).

Experience thinking strategically to interpret market and consumer information, preferably about a subscription service.

Additional Information    #DISNEYTECH
The hiring range for this position in New York, NY is $159,500 to $213,900 per year and in Santa Monica, CA is $152,200 to $204,100. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial and/or other benefits, dependent on the level and position offered.

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COMPANY: Canoe Intelligence WEBSITE : https://canoeintelligence.com/ TITLE: Senior Data Scientist LOCATION: New York City (hybrid) or Fully Remote in the United States SALARY : $140,000 - $180,000 (based on NYC, will be adjusted for geo) The Role: We are seeking an experienced and highly skilled Data Scientist to join our team. The ideal candidate will have a deep understanding of private markets and alternative investments, coupled with a strong ability to visualize complex data and communicate insights effectively. As a Data Scientist at Canoe, you will play a crucial role mining our large data corpus for new, unique, and compelling insights related to the $10 Trillion alternative investment market. What Youll Do: Analyze and interpret complex data sets related to private markets and alternative investments. Develop and implement data models and algorithms to uncover insights and trends. Create compelling and easy-to-understand data visualizations to communicate findings to stakeholders. Collaborate with cross-functional teams to design and build data-driven products and solutions. Write clear, concise, and compelling reports and documentation to convey data insights. Utilize advanced SQL skills to extract, manipulate, and analyze data from various sources. Stay up-to-date with industry trends and best practices in data science, finance, and technology. Work with the Product and Machine Learning teams to develop new strategies for data extraction from unstructured text such as PDFs. What Were Looking For: Proven experience as a Data Scientist, with a focus on private markets and alternative investments. Expertise in SQL and experience working with large and complex data sets. Strong skills in data visualization tools (e.g., Tableau, Power BI, D3.js) and techniques. Excellent writing skills, with the ability to create clear and concise reports and documentation. Proficiency in Python. Solid understanding of statistical analysis, machine learning, and predictive modeling. Strong problem-solving skills and attention to detail. Ability to work independently and collaboratively in a fast-paced, dynamic environment. Bachelors or Masters degree in Data Science, Finance, Economics, Computer Science, or a related field. Preferred: Master Degree or PhD in computer science or related field Experience with AWS, Snowflake, Postgres, and MySQL. Familiarity with financial modeling and investment analysis. What Youll Get: Medical, dental, vision benefits Flexible PTO 401(k) Flexible work from home policy Home office stipend wifi reimbursement Employee Assistance Program Gym reimbursement Education assistance Parental Leave Commuter benefits Our Values: Client First > Listen, and deliver client-centric solutions Be An Owner > Take initiative, improve situations, drive positive outcomes Excellence > Always set the highest standard for yourself and others Win Together > 1 1 3 Who We Are: Canoe is reimagining alternative investment data processes for hundreds of leading institutional investors, capital allocators, asset servicing firms and wealth managers. By combining industry expertise with the most sophisticated data capture technologies, Canoes technology automates the highly-frustrating, time-consuming, and costly manual workflows related to alternative investment document and data management, extraction and delivery. With Canoe, clients can refocus capital and human resources on business performance and growth, increase efficiency, and gain deeper access to their data. Canoes AI-driven platform was developed in 2013 for Portage Partners LLC, a private investment firm. Canoe is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. J-18808-Ljbffr

Data Scientists at Direct to Consumer are the insights and modeling partners for the growth, content, marketing, product, and engineering teams at Disney+, Hulu, and ESPN+. They use data to empower decision-makers with information, predictions, and insights that ultimately influence the experiences of millions of users worldwide. Scientists on the team build models, perform statistical analysis, and create visualizations to provide scalable, persistent capability that is iteratively improved through direct interaction with cross-functional business partners.
As a Lead Data Scientist in the DTC (Direct-To-Consumer) Data Science team, you will be partnering closely with the Marketing, Subscriber Analytics, Finance, Business Operations, Commerce Product and Engineering teams to develop models for tackling a multitude of exciting challenges, including content/audience segmentation, customer lifetime value estimation, churn and upgrade prediction, signups and subscribers forecasting, fraud prevention and mitigation, payment optimization, causal inference, anomaly detection and much more! In this role you will also be working very closely with company executives and it requires the use of analytical abilities, business understanding, and technical savviness to identify specific and actionable opportunities to solve existing business problems through data modeling.
We are looking for someone with deep analytical and modeling expertise, a proven track record of thought leadership and eagerness to drive impact.
Responsibilities Modeling : Design, build and improve machine learning models. Work end to end from data collection, feature generation and selection, algorithm development, forecasting, visualization and communicating of model results. Collaborate with engineering to productionize models. Drive experimentation to test impact of model based optimization.

Deep analysis : Develop comprehensive understanding of subscriber and payment data structures and metrics. Mine large data sets to identify opportunities for driving growth and retention of subscribers.

Visualization of Complex Data sets : Development of prototype solutions, mathematical models, algorithms, and robust analytics leading to actionable insights communicated clearly and visually.

Partnership : Partner closely with business stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data modeling, data visualization, experimentation and data architecture.

Basic Qualifications Bachelor’s in Advanced Mathematics, Statistics, Data Science or comparable field of study.

7+ years of experience designing, building, and evaluating practical machine learning solutions.

Strong coding experience in one (or more) data programming languages like Python/R, additional experience with scientific libraries like Numpy, Pandas, or equivalent libraries a plus.

Strong background in statistical modeling: regression, time series analysis and other techniques.

Experience developing scalable mathematical models and solving complex quantitative problems that can be understood by non-mathematical colleagues.

7+ years experience with databases and data pulling tools (SQL, Vertica, Hive).

Willingness to adapt in fast-paced and quickly growing work environment.

Seasoned & resourceful problem solver who figures out how to get things done, even if it means navigating through ambiguity.

Preferred Qualifications Advanced degree (Master’s or Ph.D.) in a quantitative discipline.

Excellent analytical skills, advanced level of statistics knowledge.

Strong expertise with Python and libraries such as scikit-learn, scipy.

Familiarity with Bayesian modeling and probabilistic programming packages such as PyMC.

Familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, Airflow, Github.

Familiarity with data exploration and data visualization tools such as Tableau, Looker.

Familiarity with designing and analyzing A/B testing and other experiment types.

Demonstrated skills in selecting the right statistical tools given a data analysis problem.

Ability to adapt quickly in a fast-moving environment with shifting priorities.

Strong communication skills, for both technical and non-technical audiences.

Ability to handle multiple tasks concurrently and in a timely manner, including large and complex ones.

Demonstrated leadership experience, including people and project management.

Experience in advanced ML techniques (neural nets, NLP, image processing).

Experience thinking strategically to interpret market and consumer information, preferably about a subscription service.

Additional Information #DISNEYTECH
The hiring range for this position in New York, NY is $159,500 to $213,900 per year and in Santa Monica, CA is $152,200 to $204,100. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial and/or other benefits, dependent on the level and position offered.

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We are looking for a Data Scientist who is passionate about using data to solve challenging problems. As a Data Scientist, you will be responsible for analyzing and interpreting complex datasets to drive strategic decisions and develop innovative solutions. You will collaborate with cross-functional teams to identify business challenges, design experiments, build predictive models, and communicate actionable insights to stakeholders. If you are a motivated and data-driven individual with a passion for gaming, join our team to help our games thrive in an exciting global industry!<h3>Here's what you’ll do</h3><ul><li>Analyze and interpret large datasets to derive meaningful analytical solutions and actionable insights</li><li>Collaborate with the engineering team to develop and optimize data resources, data warehouses and data pipelines</li><li>Conduct exploratory data analyses to identify product gaps, test hypotheses, and seize opportunities to inform product roadmaps</li><li>Work closely with product teams to model, simulate, and help fine-tune the game’s internal economy</li><li>Build, develop and maintain a suite of data analytics and visualization tools that empower your fellow Product and Marketing teams to make data-informed decisions: dashboards, reports, ad-hoc analysis and insightful observations</li><li>Collaborate with different teams to drive, implement and analyze A/B testing results</li><li>Develop and maintain our player segmentation tool</li><li>Build predictive models using machine learning algorithms</li><li>Stay up-to-date with industry trends, best practices, and new tools and techniques in data analysis & data science</li><li>Work with our tech stack:</li><li>- dbt (Python, SQL)</li><li>- Snowflake</li><li>- Airflow</li></ul><h3>Desired skills and experiences</h3><ul><li>University degree from a reputable university in a STEM (Statistics, Mathematics, Engineering) field or related departments</li><li>Strong knowledge of SQL and Python; excited to learn new languages when needed</li><li>Experience in working with a cloud data warehouse (Snowflake, Redshift, BigQuery) is a plus</li><li>Passion for mobile casual games</li><li>Excellent attention to detail, natural curiosity and ability for creative problem-solving</li><li>Strong written and oral communication skills</li><li>Ability to work independently with minimal supervision and prioritize multiple tasks in a fast-paced environment</li></ul><h3>Areas in which you'll continue to grow</h3><ul><li>Proficiency in extracting, processing and modeling huge amounts of data</li><li>Working with one of the richest and largest datasets of the technology industry</li><li>Proficiency in data analytics, data science and visualization tools</li><li>Ability to initiate, support and improve product & marketing decisions thanks to the evolving role of data in a fully data-driven environment</li><li>Fast-paced environment with a tight-knit and collaborative culture</li><li>Never-ending learning and development opportunities</li><li>Relevant conferences abroad to stay up to date with the latest industry trends</li><li>Team events and trips</li><li>Support for your personal and professional development with challenging projects and regular feedback</li></ul>
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We’re looking for fresh graduates who are passionate about using data to solve challenging problems. You will be responsible for analyzing and interpreting complex datasets to drive strategic decisions and develop innovative solutions. You will collaborate with cross-functional teams to identify business challenges, design experiments, build predictive models, and communicate actionable insights to stakeholders. If you are a motivated and data-driven fresh graduate with a passion for gaming, join our team to help our games thrive in an exciting global industry!<h3>Here's what you’ll do</h3><ul><li>Analyze and interpret large datasets to derive meaningful analytical solutions and actionable insights</li><li>Collaborate with the engineering team to develop and optimize data resources, data warehouses and data pipelines</li><li>Conduct exploratory data analyses to identify product gaps, test hypotheses, and seize opportunities to inform product roadmaps</li><li>Work closely with product teams to model, simulate, and help fine-tune the game’s internal economy</li><li>Build, develop and maintain a suite of data analytics and visualization tools that empower your fellow Product and Marketing teams to make data-informed decisions: dashboards, reports, ad-hoc analysis and insightful observations</li><li>Develop and maintain our player segmentation tool</li><li>Build predictive models using machine learning algorithms</li><li>Work with our tech stack:</li></ul><ul><li>dbt (Python, SQL)</li><li>Snowflake</li><li>Airflow</li></ul><h3>Desired skills and experiences</h3><ul><li>Familiarity with SQL and Python; excited to learn new languages when needed</li><li>Experience in working with a cloud data warehouse (Snowflake, Redshift, BigQuery) is a plus</li><li>Passion for mobile casual games</li><li>Attention to detail, natural curiosity and ability for creative problem-solving</li><li>Strong written and oral communication skills</li></ul><h3>Areas in which you'll continue to grow</h3><ul><li>Proficiency in extracting, processing and modeling huge amounts of data</li><li>Working with one of the richest and largest datasets of the technology industry</li><li>Proficiency in data analytics, data science and visualization tools</li><li>Ability to initiate, support and improve product & marketing decisions thanks to the evolving role of data in a fully data-driven environment</li><li>Fast-paced environment with a tight-knit and collaborative culture</li><li>Never-ending learning and development opportunities</li><li>Relevant conferences abroad to stay up to date with the latest industry trends</li><li>Team events and trips</li><li>Support for your personal and professional development with challenging projects and regular feedback</li></ul>
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Job DescriptionThe Data Science team at Cash App derives valuable insights from our extremely unique datasets and turns those insights into actions that improve the experience for our customers every day. As a Marketing Data Scientist, you will play a critical role in accelerating Cash App’s growth by creating and improving how we measure the impact of all our marketing efforts.In this role, you’ll be embedded in our Marketing organization and work closely with quantitative finance, marketers, product management as well as other cross-functional partners to help us understand the incrementality of paid marketing initiatives at different network levels, create a validation plan for our mixed marketing model, and explore new opportunities to enable Cash App to become the top provider of primary banking services to our customers.You will:<ul><li>Build models to optimize our marketing efforts to ensure our spend has the best possible ROI</li><li>Design and analyze A/B experiments to evaluate the impact of marketing campaigns we launch</li><li>Analyze large datasets using SQL and scripting languages to surface actionable insights and opportunities to the Marketing product team and other key stakeholders</li><li>Partner directly with the Cash App Marketing org to influence their roadmap and define success metrics to understand the impact to business</li><li>Approach problems from first principles, using a variety of statistical and mathematical modeling techniques to research and understand customer behavior & segments</li><li>Build, forecast, and report on metrics that drive strategy and facilitate decision making for key business initiatives</li><li>Write code to effectively process, cleanse, and combine data sources in unique and useful ways, often resulting in curated ETL datasets that are easily used by the broader team</li><li>Build and share data visualizations and self-serve dashboards for your partners</li><li>Effectively communicate your work with team leads and cross-functional stakeholders on a regular basis</li></ul>Qualifications<ul><li>A degree in statistics, data science, or similar STEM field with 7+ years of experience in a relevant role</li><li>Advanced proficiency with SQL and data visualization tools (e.g. Tableau, Looker, etc)</li><li>Experience with scripting and data analysis programming languages, such as Python or R</li><li>Worked extensively with Causal Inference techniques and off platform data</li><li>A knack for turning ambiguous problems into clear deliverables and actionable insights </li><li>Gone deep with cohort and funnel analyses, a deep understanding statistical concepts such as selection bias, probability distributions, and conditional probabilities</li><li>Experience working with customer acquisition data</li><li>Managed relationships with external vendors</li></ul>Technologies we use and teach:<ul><li>SQL, Snowflake, etc.</li><li>Python (Pandas, Numpy)</li><li>Tableau, Airflow, Looker, Mode, Prefect</li></ul>
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We’re seeking a passionate Senior Data Scientist to be a leader in data science and engineering on IPA’s global research and data science (GRDS) team. You lead meaningful impact on global development through innovative data science. In this role, you’ll collaborate with an international team to drive technical innovation and research methods at IPA. We value your unique perspective and creative problem-solving skills as you work on applied machine learning projects that leverage predictive modelling, natural language processing, and large language models. Your expertise in Python, SQL, and cloud computing will be instrumental in transforming complex data across diverse research projects to generate actionable insights. We’re committed to fostering an inclusive environment where you can grow, learn, and contribute to data and research projects that matter.<h3>Responsibilities</h3>60%<ol><li>Lead data science and machine learning projects</li><li>Develop and optimize scalable data infrastructure and analytics pipelines</li><li>Drive the adoption of cutting-edge technologies, including NLP and LLMs</li><li>Develop original code for research and data software solutions</li><li>Provide feedback to peers and mentor colleagues through code review and testing</li><li>Mentor research and data science colleagues, fostering a culture of innovation and inclusion</li><li>Lead the development of training on data science software solutions, methods, and tools</li><li>Contribute to GRDS research resources on project management</li></ol>40%<ol><li>Collaborate with leadership and international partners on high-impact projects</li><li>Managing complex data science projects, often with a high degree of ambiguity</li><li>Manage strategic partnership with IPA country offices, sector programs, policy teams, and Right-fit Evidence unit to plan, implement, and ensure timely completion of research and data science projects</li><li>Provide direct technical assistance to IPA research projects</li><li>Deliver weekly, monthly, and quarterly updates to internal IPA stakeholders on project and product development for research and data science projects</li><li>Represent the organization at conferences and in the broader data science community</li></ol><h3>Qualifications</h3>Required<ol><li>4+ years’ experience in a data science or data engineering setting</li><li>2+ years’ experience with cloud computing platforms (AWS, GCP, or Azure) and analytics databases (Snowflake, Databricks, Redshift, Motherduck, Clickhouse)</li><li>2+ years customer-facing, project delivery experience, professional services, and/or consulting experience</li><li>Proven leadership in developing Python data science projects</li><li>Proficiency in SQL for database querying and analytics</li><li>Proven experience with version control systems like Git</li><li>Familiarity with working with data APIs and integrating diverse data sources</li><li>Ability to lead and maintain effective working relationships in a multicultural environment with sensitivity and respect for diversity</li><li>Bachelor’s degree or equivalent experience in a relevant field (e.g., Computer Science, Data Science, Statistics, or related discipline)</li></ol>Preferred<ol><li>Technical knowledge of best practices for applied machine learning</li><li>Background in applying NLP techniques and working with LLMs</li><li>Strong understanding and ability to present data analysis through impactful data storytelling and visualization</li><li>Excellent communication and presentation skills</li><li>Strong analytical and problem-solving skills with attention to detail</li><li>Experience with project management tools (e.g. Jira, Asana)</li><li>Experience with data engineering tools for ELT (e.g. dlt, SQLMesh, dbt)</li><li>Experience with additional data science and econometrics software such as R or Stata</li><li>Familiarity with research quality standards and best practices in survey data collection and data management</li><li>Experience working with international development organizations or research institutions</li><li>Familiarity with ICT for development concepts and applications</li><li>Ability to work in one (or more) of the following languages: Spanish, French, Swahili</li></ol><h3>Work Model</h3>Hybrid remote + country office work environment; International travel at least 1-2 times per year<h3>Reports to</h3>Sr. Director of Global Research and Data ScienceInnovations for Poverty Action (IPA) is a research and policy nonprofit that discovers and promotes effective solutions to global poverty problems. IPA brings together researchers and decision-makers to design, rigorously evaluate, and refine these solutions and their applications, ensuring that the evidence created is used to improve the lives of the world’s poor.<h3>Safeguarding at IPA</h3>At Innovations for Poverty Action (IPA), we are committed to creating a safe and respectful environment for all individuals, particularly children and vulnerable adults. As IPA adheres to strict safeguarding principles, selected candidates will be expected to adhere to these standards.<h3>IPA's Commitment to Diversity, Equity, & Inclusion (DEI)</h3>As an organization, IPA is dedicated to improving the lives of the world's most vulnerable populations through evidence and policy. We also recognize how important it is for our staff to reflect the diversity of the places where we work and the communities we work with. As such, IPA is committed to hiring from a diverse pool of candidates, from a range of backgrounds, beliefs, experiences, and perspectives.
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Come join our growing team and help continue to improve!
As a Vice President, Marketing Analytics Data Scientist Lead within the JPM Private Client Data & Analytics team, you will play a crucial role in managing and supporting our marketing strategy and campaign management lifecycle. You will have the opportunity to work directly with our clients, helping them design, develop, implement and track their strategic marketing campaigns from a data & analytics perspective.
Job Responsibilities
<ul>
<li>Lead the analytical optimization of marketing programs throughout the marketing lifecycle; opportunity, targeting, testing, reporting and insights analytics analyses including segmentations, behavioral funnels and other techniques to improve business function performance</li>
<li>Collaborate with business partners & Technology to formulate quantifiable goals, advise on strategies and experimentation to achieve business goals</li>
<li>Collaborate across data & analytics functions (Modeling, Execution and Centers of Excellence)</li>
<li>Manage effective engagement in initiatives which require the development and deployment of advanced analytical solutions</li>
<li>Advocate for specific data needed to monitor performance, targeting and execution, and other analytical support for business goals and maintain, improve, and assess processes and controls in support of business results</li>
<li>Coach and lead junior team members in campaign analysis methods and approaches</li>
<li>Lead partnership with stakeholders with strong understanding of business drivers and underlying data</li>
<li>Follows industry trends and tests new tools and techniques to solve new/existing business challenges</li>
</ul>
Required qualifications, capabilities and skills
<ul>
<li>6+ years of related Marketing Analytics experience</li>
<li>Masters or PhD in a related field, or bachelor’s with 5+ years' experience in a related discipline</li>
<li>Advanced knowledge of complex statistical and data science techniques, ML algorithms: linear/logistic regression, Clustering, Decision Trees, Random Forest, Neural Networks, Gradient Boosting, text mining using Machine learning toolkits (Python, R)</li>
<li>Experience working with various databases (Teradata, Oracle), Snowflake, AWS and advanced level database querying languages (SQL, HQL, SparkSQL) with modern cloud-based data architectures as well as technical understanding of data extraction, transformation, and load processing</li>
<li>Hands-on experience in delivering analytics and insights to multiple levels of management (Including Test Design, Financials, Conversion/Response Reporting, Response Analysis, Incremental Analysis, Response Profiling and Target/Segmentation Analysis)</li>
<li>Tangible experience with business strategy and tactical implementation</li>
<li>Demonstrated ability to define business KPIs and establish measurement frameworks</li>
<li>Ability to work and collaborate with and influence internal and external partners - problem-solving skills are essential. Must be able to think outside the box to implement creative solutions that solve business problems.</li>
<li>Proven ability to work in a fast paced environment, meet deadlines while being detail oriented, organized, and perform at high standards</li>
</ul>
Preferred qualifications, capabilities and skills
<ul>
<li>Strong written and oral presentation / communication skills – the ability to convey complex information simply and clearly to senior business leaders and business partners </li>
</ul>
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RemoteAt HopSkipDrive, our goal is to create opportunity for all through mobility.We’re a technology company that solves complex transportation challenges where there is a heightened need for safety, equity, and care. Through our marketplace, we connect kids, older adults, or anyone needing extra support to highly-vetted caregivers on wheels. Through our software, we solve the biggest transportation challenges facing schools and school districts around the country.Founded by three moms as a solution to their own transportation challenges, we’ve now facilitated more than 3.3 million rides and operate across over 13 states across the country. We continue to expand at a rapid pace, making the Inc. 5000 list four times, as well as the Deloitte 500 Fast-Growing Technology list. HopSkipDrive is a Series D company and has raised $100M in funding to date.Your role:You will leverage organizational data to generate meaningful insights that improve the experiences of our users, while also being able to improve the effectiveness and efficiency of core business functions. One key requirement will be the specification, testing, validation, and maintenance of predictive and prescriptive models in both the product and the organizational spaces.The ideal candidate will be adept at diving deeply into business problems, understanding where opportunities exist for advanced analytics, and injecting fully-scoped and tested models into our product space and business. Candidates should have a bottomless curiosity, a keen desire to solve real problems, ability to translate complex concepts to non-technical stakeholders, and willingness to master unfamiliar domains and methods. You think like a business owner. You are excited to jump in and help your teammates, and you’re always thinking of ways to constructively challenge the status quo and improve the business. You are an A+ player who is inspired by the mission we are pursuing and by the opportunity to define a new category in an incredibly fast-moving market. You are a creative problem solver, who strives for excellence, but knows how to move from explore to exploit. You are excited to bring your best every day, to learn from those around you and to push hard while contributing to our powerful vision of positively impacting kids’ lives every day.What you’ll do:<ul><li>Combine DS strategies, programming expertise, and theoretical understanding of techniques to deliver advanced ML solutions for problem solving across the enterprise.</li><li>Scope, explore, specify, test, deploy, and observe accurate and stable models into production environments.</li><li>Utilize modern, open-source data scientific workflows (SQL, R/Python, Github) to create highly accurate or explainable predictive/prescriptive models.</li><li>Own models in production and re-train when necessary.</li><li>Demonstrate a product mindset to deliver portable components that can be deployed into existing products OR converted into stand-alone data products.</li><li>Partner closely with BI, Engineering, Product Management, DevOps, and business stakeholders to create business-aligned, stable workflows.</li><li>Communicate results and model specifications to appropriate stakeholders.</li><li>Mentor, train, and assist aspiring data science professionals.</li></ul>Skills and Experience:<ul><li>6+ years of hands-on experience building and deploying production quality predictive and/or prescriptive models.</li><li>6+ years of post-graduate experience working with open source data science toolkits including Python (numpy, pandas, scikit, PySpark) or R (Tidyverse/Tidymodels). Strong preference for candidates who can capably translate between Python and R.</li><li>2+ years experience in deploying models to production environments through APIs, or batch processes.</li><li>3+ years experience in at least TWO of the following DS methods:</li><ul><li>Supervised and Unsupervised ML (regression, classification, etc.)</li><li>Econometric modeling (e.g. time-to-event/survival analysis)</li><li>Reinforcement learning (e.g multiarm bandits for price or intervention optimization)</li><li>Operations research (e.g. combinatorial optimization/ traveling salesman, linear programming)</li></ul><li>Demonstrated experience with reproducible data science environments including creation of virtual environments, library management, and version control using Git/Github.</li><li>Demonstrated experience writing up results using literate programming workflows (Quarto preferred).</li></ul>Nice to have experience:<ul><li>Masters or PhD in Data Science, Operations Research, Applied Math, Machine Learning, Computer Science, AI, Statistics, Engineering, or similar.</li><li>Experience with back end model deployment and monitoring (MLOPS) using cloud ecosystems (Google, AWS, Snowflake).</li><li>Experience with “big data” solutions requiring cloud-infrastructure or distributed compute.</li><li>Experience building in, and potentially standing up, cloud-based data science environments (Posit Workbench, DataBricks, Sagemaker).</li><li>Experience doing data science work in the transportation, logistics, or delivery spaces.</li><li>Experience with Transformers for analyzing large sequences of data.</li></ul>Our Investment In YouWe want you to be an owner in our company and share in executing our vision, so every full-time employee has equity. In addition, we offer competitive market compensation, flexible vacation, FSA, medical, dental and vision, 401(k), and an opportunity to work for a uniquely positioned, VC-backed company in a hugely attractive space with significant upside potential. HopSkipDrive is committed to fair and equitable compensation practices. The base salary range for this role is $165,000 to $180,000. Final compensation for this role will be determined by several factors such as a candidate’s relevant work experience, skill set and specific work location. The total compensation package for this role also includes equity stock options.HopSkipDrive is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other protected class.This role will be fully remote in one of the following states: AZ, CA, CO, CT, DC, FL, GA, IL, IN, KS, MA, MD, MI, MN, MO, NC, NJ, NM, NV, NY, OH, OK, OR, SC, TN, TX, UT, VA, WA, WI. Reminder: this is a future opportunity. If your profile is aligned with who we're looking to hire, we’ll be in touch once the position is available.<h3>Apply for this job</h3>
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Data Scientist Jobs in Snowflake, AZ

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