Data Scientist

About the role

"Work sponsorship is not available for this position. Applicants must be a United States citizen, Green card holder or EAD Green Cards at the direction of our client".

Reach Shaily Sharma || 908-487-4334

shaily(at)zilliontechnologies(dot)com

Data Scientist

Location - Remote and Onsite Thrice a week --- Vienna, VA

Duration : Long term Ongoing with no end date

Compensation*

Rate : $70/hr to $80/hr

*This is the targeted compensation range for this role per hour. Please note that this range is provided as a guideline and the final offer will be based on several factors, including but not limited to, skillset and competencies, level of experience, education, certifications, and location.

Benefits

We offer a comprehensive benefits package including medical, dental, vision, and disability insurance; 401(k)

Our Digital Data Science & Analytics team is focused on understanding and improving the digital experiences of our members. Through analytics and applied data science, we uncover insights, inform strategic decisions, and enhance digital experiences and operations across the organization.

We are seeking a motivated customer-experience-focused analytics professional who is passionate about solving real-world business problems through data. This role is ideal for someone who enjoys combining exploratory analysis, statistical methods, experimentation, behavioral analytics, and fit-for-purpose modeling techniques to uncover insights and drive measurable impact.

As a member of our team, you will collaborate with cross-functional partners across product, technology, and business teams to transform complex questions into actionable insights. Our team draws from a broad range of analytical and data science techniques to deepen understanding of member behavior and digital experiences. This work spans areas such as digital experience analytics, customer feedback and sentiment analysis, digital usage forecasting, member behavior modeling, feature adoption measurement, and operational optimization, helping drive better decisions, improve member outcomes, and enhance the digital experience for millions of members.

Responsibilities

Analyze member digital behavior using Python and SQL

Conduct exploratory data analysis to identify patterns in product adoption, engagement, and customer experience

Partner with business stakeholders and product teams to solve digital experience challenges

Develop, automate, and maintain analytical solutions that provide actionable business insights

Apply analytical and statistical methods to understand customer behavior, evaluate digital experiences, identify emerging trends, and support data-driven business decisions

Apply text analytics, NLP, and AI-assisted techniques to summarize and classify customer feedback, identify sentiment and recurring themes, and surface customer friction points

Analyze app reviews, surveys, contact center interactions, social media, and other digital feedback sources to conduct Voice of the Customer (VoC) and Voice of the Member (VoM) research

Translate analytical findings into clear recommendations, dashboards, presentations, and data stories for business and executive audiences

Qualifications

Bachelor’s degree in data science, business analytics, statistics, applied mathematics, economics, or another quantitative or analytical field

1-5 years’ experience conducting data science, business intelligence, analytics, statistical analysis, or related project work

Proficiency using SQL for data extraction and analysis and Python for data preparation, exploratory analysis, statistical analysis, and modeling; experience with R is beneficial

Experience applying analytical and statistical methods such as exploratory data analysis (EDA), hypothesis testing, regression, forecasting, segmentation and clustering, experimentation, NLP, or sentiment analysis to real-world business problems

Experience translating analytical findings into insights, recommendations, or measurable business outcomes for technical and non-technical stakeholders

Comfort working in notebook-based analytical environments

Strong curiosity and ability to learn new analytical methods and technologies quickly

Excellent communication and data storytelling skills

Desired Qualifications

Master’s degree in data science, business analytics, statistics, applied mathematics, economics, or another quantitative or analytical field

Experience analyzing customer behavior, digital products, customer feedback, or customer experience

Experience presenting complex analyses to executive audiences with decision-support materials

Knowledge of financial services or digital banking products

Advanced SQL and Python skills

Please send qualified resumes directly to : shaily(at)zilliontechnologies(dot)com // 9084874334

Thanks,

Shaily Sharma

Zillion Technologies Inc.

Asst. Director - Talent Acquisition

9084874334

Email: shaily(at)zilliontechnologies(dot)com // 9084874334

"We are an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, veteran status, sexual orientation, gender identity, or any other characteristic protected by applicable federal, state, or local law."