Browse
···
Log in / Register

Senior Data Scientist - Agentic AI

Negotiable Salary

Tiger Analytics

New York, NY, USA

Favourites
Share

Description

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. As a Senior Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results. Key Responsibilities Serve as a resource for creating AI agents and RAG databases to solve problems. Develop AI Agent tools to automate the retrieval, wrangling, and analysis of data. Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to prepare datasets, conduct analytics, and develop deployable solutions with guidance from more senior resources. Able to analyze and prepare complex and new data sources and incorporate them into analytical solutions. Collaborate with customers and key stakeholders on initiating ideas, performing design, analysis, and process improvement. Develop and deploy AI and ML solutions on Google Cloud Platform. Utilize massive data sources to craft business insights and features for innovative solutions. Understand diverse data sources, both structured and unstructured. Requirements 6+ years of overall experience, 4+ years working as a GenAI Data Scientist. Experience with Python from a functional programming paradigm, able to manage dependencies and virtual environments, along with version control in git Machine learning and deep learning fundamentals, natural language processing (NLP), cloud computing, multi-agent systems understanding, data analysis, programming proficiency, and a grasp of ethical considerations in AI development. Experience with agents frameworks (preferably Langchain). Experience with Prompt engineering- Chatbots and virtual assistants, Image generation etc. Experience with proprietary and/or open source LLMs. Experience in prompt engineering. Experience with RAG and Vector Databases Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Source:  workable View original post

Location
New York, NY, USA
Show map

workable

You may also like

Workable
Ecomm/Retail Media Analyst - 0925
Exverus Media is seeking an Ecomm/Retail Media Analyst to drive total omnichannel insights and ensure the agency deploys the right tools and dashboards to interpret ecommerce and retail media data. This role partners with media and client teams to elevate analytics, turning data into actionable insights to inform strategic ecommerce and retail media investment decisions. The ideal candidate has hands-on experience with platforms like Amazon Vendor Central, Amazon Marketing Cloud, Skai, Pacvue, and major Retail Media Networks, as well as expertise in building dashboards and leveraging open source software (R, Python, SQL) to empower analytics. This is a unique opportunity to help position Exverus Media as a leader in retail media strategy. Requirements 2+ years of hands-on analytics experience, ideally in ecommerce, retail media, and/or agency settings Direct experience with Amazon Vendor/Seller Central and Amazon Marketing Cloud is required Skilled in Skai, Pacvue, Instacart, Walmart, and other major retail media network analytics tools Strong proficiency in dashboard development (e.g., Tableau, Power BI, Looker Studio, Datorama, etc.) Ability to code in R, Python, SQL or strong willingness to learn and master these tools Advanced Excel/Google Sheets competency Exceptional critical thinking and communication skills: able to translate data into clear, compelling stories with visualizations for diverse audiences Team-oriented mindset with a passion for helping clients innovate and grow Key Responsibilities Analyze data from Amazon, Instacart, Walmart, and additional retail media networks to generate actionable recommendations for ecommerce/retail media buys Implement and manage analytics tools/dashboards to optimize omnichannel insight delivery Collaborate closely with internal teams and clients to ensure analytics drives business outcomes and innovation Transform raw data using open-source coding and SQL to develop advanced reports and visualizations Support campaign planning with in-depth audience and sales analyses from platforms like Amazon Marketing Cloud Propose and drive adoption of new analytic tools or processes to continuously advance agency capabilities Help train and educate colleagues on best practices and emerging trends in ecommerce/retail analytics Benefits Competitive salary and performance-based incentives Flexible work environment, remote or hybrid options Comprehensive health, dental, and vision insurance Retirement savings plan with company match Professional development support, including training in cutting-edge platforms and coding languages Generous paid time off, wellness programs, and a vibrant, inclusive culture Why Exverus Media is Your Next Chapter Join Exverus Media and step into a collaborative agency culture where data-driven innovation is valued and career growth is prioritized. As an Ecomm/Retail Media Analyst, career development is woven into daily work and clients value the impact of your analytics expertise. You’ll have access to the latest tools, mentorship, and the opportunity to work with some of the world’s most ambitious brands across the retail and ecommerce landscape. Exverus believes in empowering employees to explore new ideas and strategies. Your insights will shape the future of retail media investment. If you’re ready to raise the bar in omnichannel analytics and make a tangible impact for Exverus clients, apply today and become a cornerstone of our analytics leadership.
Los Angeles, CA, USA
Negotiable Salary
Workable
Data Analyst Lead
We are seeking a highly motivated and experienced Data Analyst Lead to oversee the day-to-day operations of our analytics team. This role combines hands-on data analysis with team leadership and project coordination. The ideal candidate will not only possess strong technical skills but also demonstrate the ability to manage tasks, mentor junior analysts, and ensure timely delivery of high-quality analytical outputs. The Data Analyst Lead will report directly to the department head and play a key role in driving data strategy and operational efficiency. Requirements Key Responsibilities Perform advanced data analysis and reporting to support business decision-making Assign, track, and manage tasks across the analytics team to ensure timely and accurate completion Serve as the primary point of contact between the analytics team and department leadership Monitor team performance and provide guidance, support, and mentorship to junior analysts Develop and maintain project timelines, ensuring alignment with business priorities Collaborate with cross-functional teams to gather requirements and deliver actionable insights Maintain and improve existing reporting tools, dashboards, and data workflows Ensure data quality, consistency, and integrity across all analytics outputs Identify opportunities for process improvement and lead implementation of best practices Document and enforce standard operating procedures for analytics tasks and reporting Required Qualifications Proficiency in Microsoft Excel (including pivot tables, formulas, and macros) Strong analytical and problem-solving skills Experience working with large datasets and multiple data sources Ability to communicate findings clearly to both technical and non-technical stakeholders Self-motivated with a strong sense of ownership and attention to detail Proven experience in task management, team coordination, or project leadership Excellent organizational and time management skills Remote Work Requirements Hard-wired ethernet connection Safe and secure workspace Ability to maintain confidentiality in a remote setting Preferred Qualifications Experience with data visualization tools (e.g., Power BI, Tableau) Familiarity with SQL or other query languages Exposure to Python, R, or other data analysis tools Experience leading or mentoring a team in a data-focused environment Background in healthcare, medical records, or related industries Experience working with Microsoft SharePoint and the broader Microsoft Office Suite (e.g., Outlook, Teams, Word, PowerPoint) Key Competencies Strong attention to detail and accuracy Effective leadership and team collaboration skills Ability to manage multiple priorities and meet deadlines Strategic thinking with a proactive approach to problem-solving Clear and confident communication skills Benefits Collaborative culture with a focus on innovation and continuous learning. Competitive compensation and benefits package.
Anaheim, CA, USA
Negotiable Salary
Workable
Quantative Research Analyst - Contract (San Francisco)
Insight Investment are looking for a highly motivated Quantitative Research Analyst with strong expertise in financial modelling and data science to contribute to innovative research initiatives and data-driven investment strategies. Role Responsibilities Perform analysis of financial data to generate investment insights and validate hypotheses. Develop models to assess risks and fair values of investments. Solve investment problems like alpha generation, risk analysis and portfolio construction. Help develop and maintain the fixed income research platform and codebase.   Experience Required Currently enrolled or recent graduates with specialization in a quantitative field such as economics, business, statistics, mathematics, computer science, physical sciences, or engineering. Experience in applying quantitative techniques to real-world problems. Deep understanding of modern data science techniques. Strong coding and communication skills. Insight is committed to being an inclusive employer and encourages applications from all suitably qualified applicants irrespective of background, circumstances, age, disability, gender identity, ethnicity, religion or belief and sexual orientation. If you are a candidate with a disability, or are assisting a candidate with a disability, and require an accommodation to apply for one of our jobs, please email us at TalentAcquisition@InsightInvestment.com Insight Investment is an equal opportunities employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, age, or any other status protected by law. Under pay transparency law we are required to indicate the hourly rate for this role of 40-50 USD. Any offer of employment will be made based upon the specific skills and experience of the selected candidate and the base salary offered could be higher or lower than indicated. About Insight Investment Insight Investment is a leading asset manager focused on designing investment solutions to meet its clients' needs. Founded in 2002, Insight's collaborative approach has delivered both investment performance and growth in assets under management. Insight manages assets across its core liability-driven investment, risk management, full-spectrum fixed income, currency and absolute return capabilities.
San Francisco, CA, USA
$40-50/hour
Cookie
Cookie Settings
Our Apps
Download
Download on the
APP Store
Download
Get it on
Google Play
© 2025 Servanan International Pte. Ltd.