Data Scientist, Ascendion, US

About Ascendion :

Ascendion is a full service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. Headquartered in New Jersey, our workforce of 6,000+ Ascenders delivers solutions from around the globe. Ascendion is built differently to engineer the next.

Ascendion | Engineering to elevate life

We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us:

• Build the coolest tech for world’s leading brands
• Solve complex problems and learn new skills
• Experience the power of transforming digital engineering for Fortune 500 clients
• Master your craft with leading training programs and hands on experience

Experience a community of change makers!

Join a culture of high performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion.

About the Role:

Position: Data Scientist

Location: Remote

Job Description:

The purpose of this team is the team specifically one of the data science teams. They focus on the metric data side and analysis of metric movements to help understand td acquisition, engagement and retention. Collaborate a lot with a different variety of teams within the team to reach their goals.

There aren't any specific projects but will be focusing more so on identifying gaps in the movement.

Top 3 Hard Skills Required + Years of Experience

• Minimum 2-4 years experience with scripting language - SQL, Python, etc.
• Minimum 2-4 years experience with working with big data - Cosmos, Databricks or equivalent
• Minimum 2-4 years experience with manipulating data and completing data analysis & reporting

Summary:

The main functions of this role are to enable the team in understanding the performance of the business metrics, manipulate big data, do exploratory analyses of the data, apply statistical/ML modeling techniques to generate insights and hypotheses, build & maintain reports/dashboards and communicate the outcomes to the LT.

Job responsibilities:

• Contribute to weekly business metric reporting by analyzing metric movements, communicating status of the metrics clearly and effectively, building/maintaining dashboards etc.
• Process and analyze big data datasets, usage funnels, long term trends using Statistical, Machine Learning modeling, and Hypothesis driven approach to identify opportunities, patterns, pain points in end user’s journey and provide recommendations to the leadership teams to help in driving customer satisfaction, acquisition, engagement, and retention.
• Collaborate not only with other Data Scientists, Developers, Product Managers, feature teams within Edge but also with Partner teams like Finance, Business, Marketing teams etc. to help drive the Edge business growth.

Qualifications:

• Bachelor's Degree in Computer Science, Statistics, Data Science, Mathematics, Econometrics, Economics, or related field
• 2-4 years of working experience in Business Insights, Data Analytics and Data Science experience
• Proficiency in at least one scripting language & data analysis tools such as SQL, Python, R, or similar.
• Experience of working with reporting tool like PowerBI, Excel etc,,
• Experience of working with big data platforms like MS Azure, Databricks, Cosmos or equivalent
• Strong written and oral communication skills
• Strong troubleshooting and problem solving skills
• Demonstrated history of success
• Desire to be working with data and helping businesses make better data driven decisions

Salary Range: $110,000 to 115,000 Annually Factors that may affect pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate.

Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: [medical insurance] [dental insurance] [vision insurance] [0910 days/hours of paid time off]

Want to change the world? Let us know.

Tell us about your experiences, education, and ambitions. Bring your knowledge, unique viewpoint, and creativity to the table. Let’s talk!