Senior Data Science Engineer Jobs in Washington

Role description

Role Need: Sr AI Engineer, Sr Data Scientist

Job Description

We are seeking a highly skilled and motivated Data Scientist to join our team. As a Data Scientist, you will be responsible for analyzing complex datasets, building predictive models, and deriving actionable insights to drive business decisions. You will work on a variety of projects spanning machine learning, deep learning, natural language processing (NLP), and OpenAI implementation. The ideal candidate must have strong proficiency in SQL and Python, extensive experience in machine learning and deep learning techniques, and a solid understanding of NLP concepts. Experience with implementing solutions using OpenAI technologies is highly desirable.

Responsibilities

• Analyze large complex datasets to identify trends, patterns, and correlations using SQL and Python
• Develop and implement machine learning algorithms and models to solve business problems and optimize processes
• Build and train deep learning models for tasks such as image recognition, natural language processing, and recommendation systems
• Apply NLP techniques to extract insights from unstructured text data and develop text-based predictive models
• Collaborate with cross-functional teams to understand business requirements and develop data-driven solutions
• Evaluate and implement cutting-edge technologies and algorithms to improve model performance and scalability
• Communicate findings and insights to stakeholders through clear and compelling data visualizations, reports, and presentations
• Stay updated with the latest advancements in data science, machine learning, and AI research

Qualifications

Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field; Master's or PhD preferred

Proven experience as a Data Scientist or similar role with a strong portfolio of successful projects

Mandatory proficiency in SQL and Python for data manipulation, querying, and analysis

Expertise in data manipulation libraries such as Pandas, NumPy, and Scikit-learn

Deep understanding of machine learning techniques and algorithms including supervised and unsupervised learning, regression, classification, clustering, and ensemble methods

Hands-on experience with deep learning frameworks such as TensorFlow, Keras, or PyTorch

Solid understanding of NLP concepts and experience with libraries such as NLTK, spaCy, or Transformers

Familiarity with OpenAI technologies and experience implementing solutions using OpenAI APIs and tools is a plus

Strong analytical and problem-solving skills with the ability to translate business requirements into data-driven solutions

Excellent communication and collaboration skills with the ability to work effectively in a team environment

Demonstrated ability to work on multiple projects simultaneously and deliver high-quality results under tight deadlines

Join our team and contribute to shaping the future of data-driven decision-making with your expertise in SQL, Python, machine learning, deep learning, NLP, and OpenAI implementation experience.

Skills

Mandatory Skills: Natural Language Processing - AIOPS, Python - Data Science, Python AI, SQL & Database testing

Good to Have Skills: Deep Learning Algorithms, Machine Learning Algorithms

Other details

Actual compensation within the range will be dependent upon the individual's skills, experience, performance, and internal equity.

Benefits and Perks:

• Comprehensive Medical Plan Covering Medical, Dental, Vision
• Short Term and Long-Term Disability Coverage
• 401(k) Plan with Company match
• Life Insurance
• Vacation Time, Sick Leave, Paid Holidays
• Paid Paternity and Maternity Leave

The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay, and other forms of bonus or variable compensation.

Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.

Benefits

Compensation range: $81,215.00 to $153,000.00 per year

About LTM

LTM is an AI-centric global technology services company and the Business Creativity partner to the world’s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI — enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM — a Larsen & Toubro company — owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it.

Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same.

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