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Time Series Jobs (NOW HIRING)

Walmart

(USA)Staff, Data Scientist

Cupertino, CA · On-site

$143K - $286K/yr

You'll build and deploy state-of-the-art time series models (classical + ML + deep learning), drive explainability and trust (XAI), and explore next-generation approaches such as graph neural ...

Walmart

(USA)Staff, Data Scientist

Fremont, CA · On-site

$143K - $286K/yr

You'll build and deploy state-of-the-art time series models (classical + ML + deep learning), drive explainability and trust (XAI), and explore next-generation approaches such as graph neural ...

Ceribell, Inc

Data Scientist

Sunnyvale, CA · On-site

Use time-series analysis, statistical signal processing and machine learning techniques to design classification algorithms for various neurological indications * Analyze data for trends and patterns ...

Walmart

(USA)Staff, Data Scientist

Sunnyvale, CA · On-site

You'll build and deploy state-of-the-art time series models (classical + ML + deep learning), drive explainability and trust (XAI), and explore next-generation approaches such as graph neural ...

Walmart

(USA)Staff, Data Scientist

Mountain View, CA · On-site

$143K - $286K/yr

You'll build and deploy state-of-the-art time series models (classical + ML + deep learning), drive explainability and trust (XAI), and explore next-generation approaches such as graph neural ...

Walmart

(USA)Staff, Data Scientist

San Jose, CA · On-site

$143K - $286K/yr

You'll build and deploy state-of-the-art time series models (classical + ML + deep learning), drive explainability and trust (XAI), and explore next-generation approaches such as graph neural ...

Walmart

(USA)Staff, Data Scientist

Hayward, CA · On-site

$143K - $286K/yr

You'll build and deploy state-of-the-art time series models (classical + ML + deep learning), drive explainability and trust (XAI), and explore next-generation approaches such as graph neural ...

Walmart

(USA)Staff, Data Scientist

Sunnyvale, CA · On-site

$143K - $286K/yr

You'll build and deploy state-of-the-art time series models (classical + ML + deep learning), drive explainability and trust (XAI), and explore next-generation approaches such as graph neural ...

Walmart

(USA)Staff, Data Scientist

San Mateo, CA · On-site

$143K - $286K/yr

You'll build and deploy state-of-the-art time series models (classical + ML + deep learning), drive explainability and trust (XAI), and explore next-generation approaches such as graph neural ...

Walmart

(USA)Staff, Data Scientist

Milpitas, CA · On-site

$143K - $286K/yr

You'll build and deploy state-of-the-art time series models (classical + ML + deep learning), drive explainability and trust (XAI), and explore next-generation approaches such as graph neural ...

Confido

Senior Applied AI/ML Engineer

Manhattan, NY · On-site

$115K - $158K/yr

... series -- classical time-series and gradient-boosted models, with rolling-origin backtesting and best-fit selection • Wrangle messy, real-world data: baselining, outlier and anomaly detection ...

New

campus4tech

SAP IBP Consultant

$64.50 - $88/hr

Configure and support SAP IBP Time Series Supply Planning, including optimizer setup and execution. * Perform cost modeling of key figures and analyze planning outputs. * Troubleshoot and explain ...

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How much do time series jobs pay per year?

As of Jul 8, 2026, the average yearly pay for time series in the United States is $74,448.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $88,000.00 per year, depending on experience, location, and employer.
What cities are hiring for Time Series jobs? Cities with the most Time Series job openings:
What states have the most Time Series jobs? States with the most job openings for Time Series jobs include:
Infographic showing various Time Series job openings in the United States as of July 2026, with employment types broken down into 87% Full Time, 11% Part Time, 1% Temporary, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $74,448 per year, or $35.8 per hour.
TECHNICAL PRODUCT MANAGER HISTORIAN - Hybrid

TECHNICAL PRODUCT MANAGER HISTORIAN - Hybrid

Confisa International Group

Dallas, TX • Hybrid

$165K - $190K/yr

Full-time

Re-posted 19 days ago

Job description

TECHNICAL PRODUCT MANAGER HISTORIAN
  • LOCATION:DALLAS, TX - USA
  • Hybrid Role
  • REPORTING TO: DEPUTY CTO GRID SOLUTIONS
Company Overview:
Our client isworlds best engineering & technology service providers. They are multi-billion-dollar technology, engineering, construction, and financial services conglomerate specializing in engineering, procurement, and construction (EPC) projects, high-tech manufacturing, digital transformation and technology services.
Job Details:

ROLE OVERVIEW

  • The Technical Product Manager (TPM) Historian is responsible for defining the product strategy, roadmap, and feature development for the organizations time-series data historian platform used for grid operations, renewable plant monitoring, and power system analytics.
  • This role will drive the evolution of the historian platform to support high-volume telemetry ingestion, real-time data storage, advanced analytics enablement, and integration with grid automation platforms.
  • The TPM will act as a technical bridge between product engineering, platform architecture, and solutions engineering teams, ensuring that the historian platform supports large-scale grid and renewable deployments while aligning with the broader NeuralGRID digital platform architecture.

KEY RESPONSIBILITIES

Product Strategy & Roadmap

  • Define and maintain the product roadmap for the historian platform.
  • Identify capabilities required to support large-scale power system telemetry, grid analytics, and renewable asset monitoring.
  • Ensure the historian platform aligns with the broader grid digital platform architecture.
  • Drive roadmap priorities based on utility customer needs, renewable integration requirements, and grid analytics use cases

Product Architecture & Technical Governance

Work closely with product/platform architects to define scalable, high-performance time-series data architectures.

Ensure the product supports:

  • high-frequency telemetry ingestion
  • large-scale time-series storage
  • low-latency query and analytics access
  • high availability and fault tolerance

Guide architectural decisions involving:

  • distributed data storage
  • streaming data pipelines
  • edge-to-cloud data architectures
  • scalable query and analytics frameworks
  • cybersecurity and secure data access.

Requirements Management

  • Define and maintain Product Requirement Specifications (PRS) for historian platform capabilities.
  • Translate customer and system requirements into clear engineering specifications.
  • Maintain requirements traceability across product design, development, and validation.
  • Manage product backlog and prioritize feature development aligned with the product roadmap.

Typical functional areas include:

  • high-frequency telemetry storage
  • event and alarm history
  • time-series compression and retention
  • data aggregation and rollups
  • advanced query and visualization integration
  • data interfaces for analytics and AI platforms.

Product Development & Solutions Engineering Coordination

  • Work closely with product development teams to guide implementation of historian platform capabilities.
  • Coordinate with solutions engineering teams to ensure the platform supports real-world grid and plant deployment architectures.
  • Provide technical guidance during feature design and architecture reviews.
  • Ensure alignment with broader grid digital platform standards and architecture principles.
  • Facilitate collaboration across:
  • product development
  • platform architecture
  • data engineering teams
  • solutions engineering
  • quality assurance teams

Customer & Market Engagement

  • Support sales and solution teams in technical discussions with utilities, renewable developers, and grid operators.
  • Provide product expertise during opportunities involving grid monitoring, digital substations, renewable plant analytics, and asset performance management platforms.
  • Engage with customers and partners to understand evolving requirements for grid data platforms and operational analytics.
  • Contribute to positioning the historian platform as a core data infrastructure component for digital grid platforms.

REQUIRED EXPERIENCE

  • 1012 years of experience in renewable plant automation or power systems control.
  • Experience working with time-series data systems, SCADA platforms, or industrial telemetry platforms
  • Experience managing software product development for large-scale data platforms or analytics systems
TECHNICAL EXPERTISE

Experience in several of the following areas:

Industrial Data Platforms

  • time-series data historians
  • industrial telemetry platforms
  • data acquisition systems
  • operational data platforms.

Data Architecture

  • time-series databases
  • streaming data pipelines
  • distributed storage systems
  • high-volume telemetry ingestion
  • data compression and retention strategies

Power System Integration

  • SCADA data integration
  • substation automation telemetry
  • renewable plant monitoring
  • grid analytics platforms

USA Work Authorization: Visa sponsorship or transfer of an existing visa, Employment Authorization Document (EAD) is not available for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship or transfer.