Product Manager It Data Science Jobs

Familiarity with databases and data management systems is a plus.

Strong analytical skills with the ability to interpret complex data sets.

Knowledge of programming languages such as Python or R is preferred.

Strong written and verbal communication skills.

Collaborate with cross-functional teams to understand project requirements and deliver accurate results within specified deadlines.

Experience in working with data collection or research projects is preferred but not mandatory; entry-level candidates are encouraged to apply.

Proven experience documenting use cases and functional requirements and experience developing and implementing software/business capabilities.

6-8 Years of experience leading Application Development or Product Teams

JDE E1 Experience (Inventory Planning, Procurement, Distribution)

Experience leading Product/Development teams leveraging traditional waterfall and agile delivery methodologies.

Excellent Analytical and Problem Solving Skills

Excellent written and verbal communications skills

5+ years of experience in people management both in direct and indirect (matrix) organization structure

2+ years of Meter Data Management experience, Landis+Gyr MDMS & CC preferred

Tactical everyday management directing and doing roadmap readiness in their product line with ability to assist across AMI

Own Product Line technical delivery in partnership with their Digital Business Manager (DBM) counterpart (technical strategic and tactical levels)

15+ years of Software experience

10+ years of Software PM experience

Requires deep knowledge of job area typically obtained through advanced education combined with experience.

May have a broad knowledge of product management.

Manages the Lifecycle of IT products, from strategic planning to tactical activities, specifying requirements for current and future products.

Plays a leadership role in driving collaboration with other IT Product teams to aid dependency management.

Advanced knowledge of Agile methodologies. SAFE or equivalent Agile certifications is/are highly desirable.

Manages product backlogs and coordinates to plan product release schedule ensuring successful delivery by the IT product team.

Team management: recruitment, performance management, mentoring and motivating to achieve a common goal

2+ years of managerial experience of distributed teams

Own experience optimization & experimentation performance evaluation. Hold teams accountable for results by guiding targets and influencing product roadmaps and processes

3-5 years of work experience doing quantitative analysis to solve business problems

A strong analytical attitude and skills, including the ability to break down complex scenarios into constituent parameters

Experience with large data sets, proficient in SQL or other programming languages (R, Python)

Skilled at project management and delivery

Experience with marketing, sales, pricing, or revenue management

Minimum 3 years of progressively complex experience in advanced analytics, data science and/or analytics solutions

Demonstrated excellent written and verbal communication skills

Demonstrated excellent interpersonal skills, including ability to partner with others and build consensus in a cross-functional team toward a desired outcome

Experience with the media industry, especially television, SVOD, and film

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

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