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Dice is the leading career destination for tech experts at every stage of their careers. Our client, INNOVIT USA INC, is seeking the following. Apply via Dice today!
Hiring: W2 Candidates Only
Location: USA
Visa: Open to any visa type with valid work authorization in the USA
Level: Mid to Lead positions
This highly cross-functional position will collaborate closely with engineering, product, marketing, finance, and analytics teams to implement machine learning models and data science strategies that improve engagement, monetization, and personalization. You will also drive innovation in emerging technologies like
Generative AI ,
Deep Learning , and
Recommender Systems
to enhance personal finance solutions.
Key Responsibilities:
Collaborate Across Teams: Work closely with engineering, product, marketing, and other teams to identify opportunities to leverage data and improve financial products. Drive Business Impact: Accelerate revenue and engagement through improvements in data science models, including marketing campaigns, targeting, personalization, and feature engineering. Machine Learning Model Development: Apply statistical and machine learning techniques to build and optimize models that solve real-world financial problems. Research & Innovation: Participate in research efforts exploring Generative AI, Deep Learning, and Recommender Systems for personal finance applications. Metrics Definition & Experimentation: Collaborate with teams to define key business metrics and design experiments that measure revenue, user engagement, and experience. Cross-functional Leadership: Represent the data science team in meetings and reviews, translating complex technical concepts to business stakeholders. External Representation: Act as an ambassador for the data science team by representing the company at conferences, meetups, and external forums.
About the Role:
Work with large-scale machine learning models to optimize personal finance products. Be part of a high-impact team driving significant improvements to business and user experiences. Experience personal and professional growth while contributing to a culture of continuous improvement. Play a key role in the development of AI-powered financial solutions and help millions of members achieve their financial goals.
Minimum Qualifications:
Education: MS in Computer Science, Mathematics, Statistics, Physics, or a related quantitative discipline. Experience: 5+ years in Data Science, Machine Learning, and related areas, ideally in fast-paced, consumer-focused environments. Technical Expertise: Strong knowledge of Python and R for statistical analysis and model development. Expertise in SQL for working with large datasets. Familiarity with advanced modeling techniques such as deep neural networks, collaborative filtering, matrix factorization, time series analysis, and mixed-effects models. Statistical Acumen: Strong statistical understanding of data at scale and experience with designing and conducting experiments.
Preferred Qualifications:
Experience driving monetization, member engagement, and long-term user value through AI solutions. Experience in large-scale AI systems, generative AI, and self-serve analytics within the data science field. Ability to thrive in a fast-paced environment at a large-scale company. Experience in the ads business and product management.
Senior Data Scientist, machine learning, AI, deep learning, generative AI, recommender systems, Python, R, SQL, data science models, personalization, targeting, monetization, feature engineering, user engagement, business metrics, data analysis, time series analysis, collaborative filtering, matrix factorization, experiment design, big data, statistical modeling, personal finance, cloud technologies, business impact, monetization strategy, user experience, data-driven decisions, artificial intelligence, machine learning models.
Seniority level
Seniority level
Mid-Senior level Employment type
Employment type
Full-time Job function
Job function
Engineering and Information Technology Industries
Software Development Referrals increase your chances of interviewing at Jobs via Dice by 2x Get notified about new Data Scientist jobs in
Salem, OR . Software Engineering Specialist - Human Data
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Hiring: W2 Candidates Only
Location: USA
Visa: Open to any visa type with valid work authorization in the USA
Level: Mid to Lead positions
This highly cross-functional position will collaborate closely with engineering, product, marketing, finance, and analytics teams to implement machine learning models and data science strategies that improve engagement, monetization, and personalization. You will also drive innovation in emerging technologies like
Generative AI ,
Deep Learning , and
Recommender Systems
to enhance personal finance solutions.
Key Responsibilities:
Collaborate Across Teams: Work closely with engineering, product, marketing, and other teams to identify opportunities to leverage data and improve financial products. Drive Business Impact: Accelerate revenue and engagement through improvements in data science models, including marketing campaigns, targeting, personalization, and feature engineering. Machine Learning Model Development: Apply statistical and machine learning techniques to build and optimize models that solve real-world financial problems. Research & Innovation: Participate in research efforts exploring Generative AI, Deep Learning, and Recommender Systems for personal finance applications. Metrics Definition & Experimentation: Collaborate with teams to define key business metrics and design experiments that measure revenue, user engagement, and experience. Cross-functional Leadership: Represent the data science team in meetings and reviews, translating complex technical concepts to business stakeholders. External Representation: Act as an ambassador for the data science team by representing the company at conferences, meetups, and external forums.
About the Role:
Work with large-scale machine learning models to optimize personal finance products. Be part of a high-impact team driving significant improvements to business and user experiences. Experience personal and professional growth while contributing to a culture of continuous improvement. Play a key role in the development of AI-powered financial solutions and help millions of members achieve their financial goals.
Minimum Qualifications:
Education: MS in Computer Science, Mathematics, Statistics, Physics, or a related quantitative discipline. Experience: 5+ years in Data Science, Machine Learning, and related areas, ideally in fast-paced, consumer-focused environments. Technical Expertise: Strong knowledge of Python and R for statistical analysis and model development. Expertise in SQL for working with large datasets. Familiarity with advanced modeling techniques such as deep neural networks, collaborative filtering, matrix factorization, time series analysis, and mixed-effects models. Statistical Acumen: Strong statistical understanding of data at scale and experience with designing and conducting experiments.
Preferred Qualifications:
Experience driving monetization, member engagement, and long-term user value through AI solutions. Experience in large-scale AI systems, generative AI, and self-serve analytics within the data science field. Ability to thrive in a fast-paced environment at a large-scale company. Experience in the ads business and product management.
Senior Data Scientist, machine learning, AI, deep learning, generative AI, recommender systems, Python, R, SQL, data science models, personalization, targeting, monetization, feature engineering, user engagement, business metrics, data analysis, time series analysis, collaborative filtering, matrix factorization, experiment design, big data, statistical modeling, personal finance, cloud technologies, business impact, monetization strategy, user experience, data-driven decisions, artificial intelligence, machine learning models.
Seniority level
Seniority level
Mid-Senior level Employment type
Employment type
Full-time Job function
Job function
Engineering and Information Technology Industries
Software Development Referrals increase your chances of interviewing at Jobs via Dice by 2x Get notified about new Data Scientist jobs in
Salem, OR . Software Engineering Specialist - Human Data
Senior React/Node Developer - Remote - USA
Senior Software Engineer, Perception Skills
Salem, OR $79,800.00-$178,100.00 11 hours ago Cloud Platform and Data Engineer (Information Systems Specialist 7) 100 % Remote Work (Permanent full-time position)
Lead Software Engineer, Performance Engineering
Salem, OR $121,500.00-$224,880.00 3 weeks ago Software Engineer III & Solution Architect III
Applications Integration Engineer (Information Systems Specialist 6)
Salem, OR $110,000.00-$120,000.00 2 months ago Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr