Senior Data Scientist

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Senior Data Scientist

Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets; an ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner.

Please visit Fractal | Intelligence for Imagination for more information about Fractal.

Role Overview

Data Scientist with GenAI Experience

Job Summary:

We are seeking an experienced Data Scientist with a focus on Gen AI and a minimum of 8 years of industry experience. The ideal candidate will have a strong background in machine learning, statistical analysis, and data modeling, with a specific emphasis on extracting insights from textual data. This role involves working on complex NLP projects to derive meaningful patterns and knowledge from large datasets.

Key Responsibilities:

1. NLP Model Development

• Develop and implement NLP models for various applications, including text classification, sentiment analysis, entity recognition, and language translation.
• Utilize machine learning and deep learning techniques to extract valuable information from unstructured text.

2. Text Preprocessing

• Preprocess and clean large volumes of text data to prepare it for analysis.
• Implement techniques such as tokenization, stemming, and lemmatization.

3. Feature Engineering

• Identify and engineer relevant features from text data to improve model performance.
• Implement techniques to capture semantic relationships within the data.

4. Model Training and Evaluation

• Train, fine-tune, and validate NLP models using appropriate algorithms.
• Evaluate model performance using metrics such as precision, recall, F1 score, and accuracy.

5. Data Analysis

• Conduct exploratory data analysis on textual datasets to uncover patterns, trends, and anomalies.
• Use statistical methods to gain insights into the underlying structure of the data.

6. Collaboration with Cross-Functional Teams

• Work closely with data engineers, software developers, and domain experts to integrate NLP solutions into broader systems and applications.
• Collaborate in defining project goals, requirements, and deliverables.

7. Algorithm Optimization

• Optimize and fine-tune NLP algorithms for improved efficiency and accuracy.
• Implement parallel processing and distributed computing techniques for large-scale data analysis.

8. Stay Updated with NLP Trends

• Stay informed about the latest advancements and trends in NLP and machine learning.
• Apply cutting-edge techniques to solve complex business problems.

9. Documentation

• Document methodologies, algorithms, and code for reproducibility and knowledge transfer.
• Prepare clear and concise project reports and documentation.

Qualifications:

• Master's in Computer Science, Data Science, Statistics, or a related field.
• Minimum of 5 years of professional experience in data science, with a focus on GenAi.
• Strong programming skills in languages such as Python or R.
• Expertise in using NLP libraries and frameworks such as NLTK, SpaCy, or TensorFlow.
• Proficiency in machine learning techniques, including supervised and unsupervised learning.
• Experience with deep learning frameworks like TensorFlow or PyTorch.
• Strong understanding of text mining, information retrieval, and semantic analysis.
• Excellent problem-solving and analytical skills.
• Effective communication and collaboration skills.
• Experience with cloud platforms (e.g., AWS, Azure) and big data technologies is a plus.

If you are a skilled Data Scientist with a specialization in NLP, passionate about deriving insights from textual data, and have a proven track record, we encourage you to apply. Your expertise will contribute to the advancement of our data science capabilities and the development of innovative NLP solutions.

Pay:

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $130,000 - $160,000. In addition, you may be eligible for a discretionary bonus for the current performance period.

Benefits:

As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time.  You will be eligible for benefits on the first day of employment with the Company.  In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms.   The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take time needed for either sick time or vacation.

Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

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