- Fidelity Investments
- $131,620.00 -202,650.00/year*
Job Description - Senior Data Scientist, NLP (1816674)Job Description Senior Data Scientist, NLP - 1816674 Fidelity Personal Investing is looking for an experienced Sr. Data Scientist to focus on Natural Language Processing to enhance the customer experience across all channels and improve service levels for customers. At Fidelity?s Artificial Intelligence Center of Excellence (COE), you won?t be just tinkering around the edges, you?ll be building critical solutions that will benefit our clients for years to come. We work closely with business stakeholders, collect requirements and deliver high value AI/ML solutions that drive customer and business value. Those of us who love to work with data see this as the pinnacle of opportunities that you cannot find anywhere else in the industry. This role will be located in Boston, MA. The Team The AI/ML (Artificial Intelligence and Machine Learning) team contributes to the vitality and growth of the organization through researching and building complex, cutting edge and scalable AI algorithms, models, platforms and technologies to significantly improve customer experience and drive business results. Our team of high caliber scientists, mathematicians and statisticians use rigorous quantitative approaches to ensure that we are efficiently building algorithms and technology relevant to the business or customer experience issue at hand. The Expertise You Have Minimum Master?s Degree in Engineering, Computer Science, Mathematics, Computational Statistics, Operations Research, Machine Learning or related technical fields.4 years as a Data Scientist, with a focus on Natural Language Processing (NLP), text mining, unstructured data, etc.Advanced knowledge in model evaluation, tuning and performance, operationalization and scalability of scientific techniques and establishing decision strategies. Hands on experience developing supervised and unsupervised machine learning algorithms (regression, decision trees/random forest, neural networks, feature selection/reduction, clustering, parameter tuning, etc.),Programming skills in Python, Spark, Scala, R or MatLab The Skills You Bring Your solid skills in algorithm development and predictive modelingYou have deep knowledge Natural Language Processing (NLP)Ability to influence high level business and technology partners The Value You Deliver You will partner with stakeholders to identify/prioritize top AI opportunities, create business/technical requirements, transform large volumes of data into AI-driven solutions using creative, cutting edge open source methods/technologies, lead ML strategy and road map planning, work across teams and influence the direction of external teams. The ideal candidate will combine expert AI/ML/Open Source/Tech knowledge with hands on experience building algorithms/models/programming and outstanding business skills (revenue/cost drivers, customer experience, customer journey, communication, etc.) to manage and deliver complex/critical projects driving significant value to Fidelity. Company Overview At Fidelity, we are focused on making our financial expertise broadly accessible and effective in helping people live the lives they want. We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. We are proud of our diverse and inclusive workplace where we respect and valueour associates for their unique perspectives and experiences. For information about working at Fidelity, visit Fidelitycareers.com Fidelity Investments is an equal opportunity employer. Job: DatabasePrimary Location: US-MA-BostonOther Locations: US-NH-MerrimackSchedule: Full-timeJob Level: Individual ContributorEducation Level: Bachelor's Degree (?16 years)Job Type: Standard: Overtime Status: ExemptTravel: No
Associated topics: c#, c c++, computer engineering, computer science, electrical engineering, matlab, optical, processor, schematic, software
* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.
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