$40000 - $45000 Year
Monday to Friday
Day shift
Health insurance
Paid time off
Employee discount
Dental insurance
Vision insurance
401(k)
401(k) matching
Flexible schedule
Parental Leave
Tuition reimbursement
Flexible spending account
Retirement plan
Others
As part of Engineering team, you will:
Lead a team of Data science experts & data visualization engineers.
Be prime responsible for ownership of all front-end development, architecture setup including setup of ETL and big data.
Establish forward looking Data and technology objectives and developing the strategies and actions for the team to achieve them.
Work with the latest open-source tools, libraries, platforms and languages to build data products enabling other analysts to explore and interact with large and complex data sets
Partner with Product Owners and cross functional teams in a collaborative and agile environment
Design rich data visualizations and interactive tools and solutions to communicate complex ideas to customers and company leaders.
Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
Mentor other engineers and develop technical knowledge and skills to keep the enterprise on the cutting edge of technology.
Define best practice and thought leadership around data science.
Take initiatives and conduct exploratory data analyses and experimental designs, which will help the business to better understand trends and behavior within the market.
Work with various departmental heads across the business in order to provide advanced analytic data modeling systems.
Lead the development of big data capabilities and utilization as well as the coordination of cross-functional analytic initiatives.
Collaborate with the data engineering team in creating big data applications using structure and unstructured data.
Partner closely with product engineering to design, run, and analyze A/B and multivariate hypothesis tests aimed at optimizing customer experience, business KPIs and product funnels.
Analyze experimental data with statistical rigor. Ensure accurate interpretation by combining business acumen with detailed data knowledge and statistical expertise.
Collaborate with our growth team to find novel ways to activate and engage users.
Identify the immediate needs of the Machine Learning infrastructure, with a focus on setting up the ecosystem end to end.
KEY SKILLS AND EXPERIENCE
Your skills and experience
You should have 15+years of experience in managing complex projects around Data Science and Data Visualization.
Good to have:
Passion to answer Product/Engineering questions with data.
Experience in leading high-performing data analyst teams.
Experience in analytics tools (such as Pandas, R, SPSS, SQL, or Hadoop).
Experience in handling crude data using the latest technologies and techniques, can perform the necessary analysis, and can present the acquired knowledge to associates in an informative way.
Communication
Leadership
Teamwork
Interpersonal
Learning/adaptability
Self-management
Organizational
Computer
Problem solving
Open mindedness
Strong work ethic
technology
Others
15+years of experience
Technology
On going position
Hybrid Remote