Data Scientist, Expert

Requisition # 173213

Job Category:
Information Technology

Job Level: Individual Contributor

Business Unit:
Energy Delivery

Work Type:
Hybrid

Job Location:

San Ramon;
Alameda;
Alta;
American Canyon;
Angels Camp;
Antioch;
Auberry;
Auburn;
Avenal;
Avila Beach;
Bakersfield;
Balch Camp;
Bay Point;
Bear Valley;
Belden;
Bellota;
Belmont;
Benicia;
Berkeley;
Brentwood;
Brisbane;
Buellton;
Burney;
Buttonwillow;
Calistoga;
Campbell;
Canyon Dam;
Canyondam;
Capitola;
Caruthers;
Chico;
Clearlake;
Clovis;
Coalinga;
Colusa;
Concord;
Concord;
Corcoran;
Cottonwood;
Cupertino;
Daly City;
Danville;
Davis;
Dinuba;
Downieville;
Dublin;
Emeryville;
Eureka;
Fairfield;
Folsom;
Fort Bragg;
Fortuna;
Fremont;
French Camp;
Fresno;
Fresno;
Fulton;
Garberville;
Geyserville;
Gilroy;
Goodyear;
Grass Valley;
Guerneville;
Half Moon Bay;
Hayward;
Hinkley;
Hollister;
Holt;
Huron;
Jackson;
Kerman;
King City;
Lakeport;
Lemoore;
Lincoln;
Linden;
Livermore;
Lodi;
Loomis;
Los Banos;
Lower Lake;
Madera;
Magalia;
Manteca;
Manton;
Mariposa;
Martell;
Marysville;
Maxwell;
Menlo Park;
Merced;
Meridian;
Millbrae;
Milpitas;
Modesto;
Monterey;
Montgomery Creek;
Morgan Hill;
Morro Bay;
Moss Landing;
Mountain View;
Napa;
Needles;
Newark;
Newman;
Novato;
Oakdale;
Oakhurst;
Oakland;
Oakley;
Olema;
Orinda;
Orland;
Oroville;
Palo Alto;
Palo Cedro;
Paradise;
Parkwood;
Paso Robles;
Petaluma;
Pioneer;
Pismo Beach;
Pittsburg;
Placerville;
Pleasant Hill;
Pleasanton;
Point Arena;
Potter Valley;
Quincy;
Rancho Cordova;
Red Bluff;
Redding;
Richmond;
Ridgecrest;
Rio Vista;
Rocklin;
Roseville;
Round Mountain;
Sacramento;
Salida;
Salinas;
San Bruno;
San Carlos;
San Francisco;
San Francisco;
San Jose;
San Luis Obispo;
San Mateo;
San Rafael;
Sanger;
Santa Cruz;
Santa Maria;
Santa Nella;
Santa Rosa;
Selma;
Shaver Lake;
Sonoma;
Sonora;
South San Francisco;
Springville;
Stockton;
Storrie;
Taft;
Tracy;
Turlock;
Twain;
Ukiah;
Vacaville;
Vallejo;
Walnut Creek;
Wasco;
Watsonville;
West Sacramento;
Wheatland;
Whitmore;
Willits;
Willow Creek;
Willows;
Windsor;
Winters;
Woodland;
Yuba City

Applied Technology Services (ATS) has been providing technology-based, innovative, high-value services to the company for over 50 years. ATS is a multidisciplinary team of over 130 engineers, scientists, and technicians. The ATS vision is to be a forward-thinking, technological leader providing high-value solutions and services needed across the Company. ATS high value services also help proactively avoid future problems by specifying equipment, materials and methods that are best practices in the industry.

Designs, develops, and executes scripts, programs, models, algorithms, and processes, using structured and unstructured data from disparate sources and sizes, generating for defensible, valid, scalable, reproducible models (predictive or optimization) for problem solving and strategy development. Participates in internal and external communities of practice in data science/artificial intelligence/machine learning to advance knowledge in the field. Educates the non-technical community on advantages, risks, and maturity levels of data science solutions.

This position is hybrid, working from your remote office and your assigned location based on business need. Regular presence is required in San Ramon, once every two weeks.

PG&ES provides the salary range that the company in good faith believes it might pay for this position at the time of the job posting. This compensation range is specific to the locality of the job. The actual salary paid to an individual will be based on multiple factors, including, but not limited to, specific skills, education, licenses or certifications, experience, market value, geographic location, and internal equity.

Although we estimate the successful candidate hired into this role will be placed towards the middle or entry point of the range, the decision will be made on a case-by-case basis related to these factors.

Bay Area Minimum: $140,000

Bay Area Mid: $189,000

Bay Area Maximum: $238,000

California Minimum: $133,000

California Mid: $180,000

California Maximum: $226,000

This job is also eligible to participate in PG&ES discretionary incentive compensation programs.

• Researches and applies advanced knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions.
• Creates advanced data mining architectures / models / protocols, statistical reporting, and data analysis methodologies to identify trends in structured and unstructured data sets
• Extracts, transforms, and loads data from dissimilar sources from across PG&ES
• Applies data science/ machine learning /artificial intelligence methods to develop defensible and reproducible predictive or optimization models that involve multiple facets and iterations in algorithm development.
• Writes and documents reusable python functions and modular python code for data science.
• Assesses business implications associated with modeling assumptions,…