Head Of Product Data Science Jobs

10+ years of related experience in the industry,

You will work closely with the engineering team to test, validate, and implement M&V protocols within the WattCarbon platform.

You will present WattCarbon’s M&V methodologies to professional audiences in webinars, at conferences, and in other forums as needed.

You will meet individually with stakeholders on an as needed basis to explain WattCarbon’s M&V methodologies.

You will advocate for open source, transparent measurement and verification of carbon emissions and energy savings.

You will track, and where appropriate, engage with policy making at the local, state, and federal level.

Lead and manage a team of 10+ data scientists and managers partnering with Asana's business teams e.g. sales, marketing, customer success

Mental health, wellness & fitness benefits

In conjunction with your product data science counterpart, set norms, practices and processes for the broader data science team at Asana

Guide data scientists in their technical and professional development. Foster a culture of excellence, ensuring both quality and velocity

Empathetic, collaborative, no-ego approach to leadership

Comfortable with ambiguity; you enjoy figuring out what needs to be done — and then doing it

Bachelor’s degree (B.S./B.A.) in Computer Science, Mathematics, Engineering, Graduate degree in Data Science, or equivalent combination of education and experience

Plan, document, execute and manage the overall marketing analytics planning & framework

Must have at least 5 years hands-on experience performing advanced quantitative analyses and 3 years leading high performing teams

Experience mentoring and coaching direct reports in delivering high quality, accurate, and methodologically consistent advanced analytics results

Develop and supervise the enhancement of data models for statistical modeling purposes, tracking results against actuals, and re-specify when required

Propose solutions and strategies to business challenges

Experience with Big Data technologies like Hadoop, Spark, Hive, NoSQL, etc., and Cloud technologies (Google Cloud, SQL Server, Azure, etc.)

Strong analytical and problem-solving skills.

Data visualization and dashboard development experience, with tools such as Tableau, Power BI, or similar applications.

This individual will perform data wrangling, ETL, and data exploration tasks, while leveraging large volumes of structured and unstructured data.

He/she should be a natural thought leader, thinking outside of the box, and challenging the status quo.

Leverage analytics and visualization tools to design and present information to drive fact-based decision making

Excellent people and stakeholder management skills, to include strong influencing skills and ability to navigate a global and matrixed organization

Collaborate with product, finance, and other domains in order to shape differentiated analytical services and solutions that benefit the business

Serve as a bridge between product, finance, and other functional areas

Develop strategy and tactical solutions for advanced analytics capabilities that ensure PayPal is making data-driven decisions

Experience shaping business decision-making and impacting the business on a strategic-level through the delivery of best-in-class analysis

Experience building and leading analytics teams in a high-touch consumer-oriented environment

I have proven stakeholder management capabilities.

Partner with the Data Management Organization (DMO) to execute global harmonization of Master Data and Reference data.

Benefits begin immediately upon hire. Fully customizable medical plans (HRA- HSA- FSA)- 5 different carrier choices

I have experience leading global Data and/or Analytics teams at scale.

I have significant experience in setting and aligning global strategies- objectives and policies.

I have hands-on experience working with data assets in a matrixed global environment.

Experience working in a center of excellence, rather than specialist focus on just one business use case

Experience delivering complex analytics projects with significant financial impact for the business

Strong leadership experience, without moving too far from the hands-on technical work across Python, PySpark, AWS

Previous experience with oversight of end-to-end MLOps lifecycle

Lead a dynamic hybrid onshore & offshore team across Data Science & Data Engineering

Be the representative of the Data Science team across the Analytics Leadership Team & Non technical executive stakeholders

Must have: AI data science experience (min 5 years).

Experience in Vision AI, OpenCV, Dlib, Yolo

Experience in optimizing neural networks, such as pruning, etc.

Comfortable with working remotely, at least partially

Bachelor’s degree in computer science or a related field; Master's Degree preferred

Demonstrated ability to achieve results while working in a cross-functional environment

5 years of team building and people management experience and demonstrable leadership skills

Exceptional technical skills with SQL, R/ Python for data analysis and experience in ML driven products

Work closely with partner managers to build data assessment processes and tools to analyze partner data.

12 years of total experience in analytics/ data science

5 years of hands-on experience building and managing customer facing, preferably revenue driving data products

Entrepreneurial spirit and demonstrable experience of starting at ground zero and building sophisticated data science and analytics platforms and products

Five (5) years of relevant industry and management experience

Knowledge of budget processes and ability to manage and track large project budgets

Four (4) years of relevant experience in a Data role working with Data Science, Machine Learning and Business Intelligence tools

Knowledge of standard Data Science and Machine Learning technology stack

Excellent problem solving and structured thinking skills

Proven experience with a Data Warehouse, Data Science and/or Business Intelligence platform

Full-time role + REMOTE + offers great benefits

Must have experience leading an analytics function within healthcare; preferably within a provider OR management consulting setting

full-time role + REMOTE + offers great benefits

must have experience leading an analytics function within healthcare; preferably within a provider OR management consulting setting

Strategic thought leadership & people management role

Management Consulting / Healthcare background is highly desired

Proven experience in risk management within fintech, credit card, or IT sectors.

Develop and execute robust risk management framework ensuring regulatory compliance.

Stay updated on industry trends, adjust risk management strategies accordingly.

Evaluate and integrate third-party risk management tools.

Ability to develop and implement risk management frameworks.

Experience in SMB finance or cash-intensive sectors preferred.

Proven experience in data science in client relationship management, marketing, and direct marketing.

Strong predictive modeling, and statistical analysis skills; Recommendation system experience is a plus.

A successful Senior Data Scientist will likely have the following skills and experience:

Experience with machine learning and AI.

Experience with managing a team and having direct reports

Direct Marketing with email or direct-mail experience is a plus!

You have 10+ years experience in product management leadership, preferably in SaaS applications with Fintech and/or Payments experience

You know how to lift the business through an end to end focus on customer experience

You have a BA/BS degree in computer science, or have equivalent experience

You work with Scrum/Agile design, AB testing, and KPI measurements

You embrace change and hyper-growth with the nimble ease of a dancer and know how to lead teams through it

Lead product design teams by providing hands on guidance, oversight, and mentorship to the teams

Familiarity with agile development methodologies and product management preferred

Excellent communication, analytical, and problem solving skills

Some hands-on experience building AI solutions is a plus

Partner with stakeholders across the organization to identify high impact use cases for AI and Machine Learning technologies

Build and maintain relationships with external partners and third-party vendors to ensure the success of our AI-powered applications and integrations

Bachelor's degree in Computer Science, Engineering, Business, or a related field. A master's degree or other advanced degree is a plus.

Collaborate closely with cross-functional teams, including machine learning/engineering, product management, and business stakeholders, to define data requirements and deliver data-driven solutions

Mentor and develop the skills of team members, fostering their professional growth and creating opportunities for knowledge sharing

Solid understanding of data governance, data management, and data security principles

Lead and manage the data science team, fostering a collaborative and high-performing culture

Drive innovation by identifying and prioritizing data science opportunities to optimize processes, improve customer experiences, and generate business value

Proficiency in programming languages such as Python, R, or SQL, as well as experience with data manipulation and analysis tools

Bachelors degree or higher or Combination of relevant education, experience and training.

Experience hiring and mentoring outstanding data scientists

Experience developing strong cross-functional partnerships with engineering, product, & analytics teams

Experience communicating technical roadmaps to business leaders

Proven knowledge in statistical and machine learning modeling

Ability to innovate and push the boundaries of data science capabilities

Education, Experience & Skills Requirements

2+ years of people management experience

5+ years of experience in the field of medical affairs

Excellent interpersonal communication and presentation skills (including networking)

Excellent teaching skills and ability to present and discuss scientific material clearly and concisely

Skilled in clinical research and an understanding of the process of pharmaceutical product development and approval

Bachelors degree or higher or Combination of relevant education, experience and training.

Experience hiring and mentoring outstanding data scientists

Experience developing strong cross-functional partnerships with engineering, product, & analytics teams

Experience communicating technical roadmaps to business leaders

Proven knowledge in statistical and machine learning modeling

Ability to innovate and push the boundaries of data science capabilities

7+ years of team management experience

Experience interacting with product management teams

Function as a thought partner with senior management and stakeholders, and align stakeholders around the vision to gain cross-functional support

Manage prioritization of team resources to partner with cross functional teams such as Operations, Engineering, Product, Strategy, Finance

15+ years of experience in a related technical field or equivalent practical experience

Experience interacting with senior leadership