Job Description
Join our team to help build state of the art research tools. Our Data Science teams focus on extracting key information such as entities mentioned, sentiment analysis, data enrichments, predictive insights, and more to build best in class data and news streams relied on by our global customer base. We are in the beginning stages of adding Generative AI across our portfolio of products while continuing to be committed to High Quality and trusted / citable information with everything we do. We are looking to grow our team with Passionate Data Scientist committed to define scope of a project and execute that project independently. Individuals in this role are expected to support the development and training of junior staff. They develop best practices and are the project leaders.
Responsibilities:
Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.
Leading the development of advanced AI and machine learning models to solve complex business problems.
Analyzing large datasets to identify patterns and trends that can inform AI development.
Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.
Evaluating and creating new frameworks and defining methodologies and governance.
Mentoring junior data scientists and provide guidance on AI and machine learning best practices.
Working with product leaders to apply data science solutions. Leading small- to medium-sized teams (direct or indirect).
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
-Possess an advanced or Master's education in Computer Science, Mathematics, Statistics, or a related field.
-5+ years of experience using NLP tools and methods such as OpenNLP, Stanford NLP, LDA, Gensim, spaCy
-Be proficient in working with big data technologies and tools like Hadoop, Spark, or AWS.
-Possess advanced programming skills in Python, R, or other relevant languages for data analysis.
-Have experience working directly with large language models and transformer-based architectures including BERT, RoBERTa, T5 etc.
-Be proficient in working with big data technologies and tools.
-Experience using Machine Learning and associated packages like scikit-learn, pandas, NumPy.
-Have experience and knowledge of applying LLMs including ChatGPT, GPT 3.5, Claude, Mistral, etc.
-Be a natural problem solver, able to lead and mentor junior data scientists, and collaborate with cross-functional teams.
-Demonstrate proficient experience with machine learning algorithms, including deep learning, gradient boosting, and random forests
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.