Job description

Unacast is a leading provider of global location intelligence that delivers cutting-edge analytics about human mobility in the physical world. We are a team of experts with decades of unmatched industry experience and we partner with organizations across the private and public sectors to unlock the potential of location data. Unacast drives smarter decision-making based on trustworthy, reliable, and privacy-friendly location intelligence that powers both commercial and societal benefits. Position Overview: Are you ready to dive into the world of big data and complex algorithms? We’re seeking a Senior Data Scientist to become a key technical contributor on our Complex Algorithm Team. If you're passionate about solving complex business and technical problems, working with large-scale data, streamlining data processes, and transforming intricate data into actionable insights, this is the opportunity for you! You’ll be working alongside a talented development team, using your advanced SQL and Snowflake expertise, statistical analysis, machine learning, and data visualization to develop and optimize innovative data products and solutions. The ideal candidate brings strong technical depth and the ability to independently drive projects from problem definition through implementation and delivery. What You Will Do: Perform advanced analysis and produce complex data models, insights, and analytics from our Geo-Signals Cloud (big data) in support of the development of our data products. Leverage Snowflake for developing efficient data models, optimizing query performance, and ensuring data is structured appropriately for analytical and product use cases. Develop and optimize complex SQL queries and data transformations in Snowflake, working with large and complex datasets to support analytics and production data products. Support data improvement and data quality efforts by highlighting and communicating data issues observed when producing data and analytics products. Develop and apply algorithms to identify patterns, extract information, uncover insights, and solve complex analytical problems from complex and noisy datasets. Experience: 5+ years of experience in complex data analysis, data science, or a related quantitative field, with a track record of independently driving complex analytical projects. Expert SQL skills, including extensive hands-on experience with Snowflake SQL, working with large and complex production datasets and developing efficient queries for data manipulation and extraction. Strong proficiency in Python and relevant libraries. You have demonstrated experience collecting, cleaning, and transforming data to meet project needs, including implementing frameworks and libraries for product development and machine learning to perform robust analytics. Familiarity with cloud computing platforms (e.g., AWS) and big data technologies (e.g., Spark). You are well versed in Microsoft Excel and analysis in general and are also versed in statistical analysis. Strong experience with data visualization and analytics tools such as Tableau, Sisense, ArcGIS, CartoDB, QGIS, or other analytics tools. Excellent communication and presentation skills with fluency in English, with the ability to translate complex data insights into actionable recommendations. A positive and adaptable attitude, with a collaborative approach to teamwork. Intellectual curiosity, a passion for problem-solving, and a drive to continuously learn and improve. ... and it is a positive if You have an understanding of Agile methodologies. You have experience working with geospatial data. You've had some exposure to other programming languages (Java, Scala, Kotlin, etc.). You believe that simple approaches are better than complex, whenever possible. What we expect of you Demonstrate a proactive and entrepreneurial mindset. Contribute to a positive and enjoyable work environment. We operate like a startup, so things change fast, you need to be agile and proactive. Personal characteristics we value include: high integrity, entrepreneurial spirit, innovative thinking, team player, passion for technology, adaptability, high energy and attention to detail. Other Info This is a remote position that may require occasional travel. Candidates must reside in the continental United States with a preference for individuals who live in the EST time zone in the following states: FL, GA, MD, NC, NJ, NY, PA, RI, SC, VA, WV We offer competitive salaries and benefits and unlimited PTO. The typical base salary range for this role is $110,000 to $130,000. Ranges are based on various factors including the labor market, job type, job level, internal equity and budget. Exact salary offers will be determined by factors such as the candidate's skills, qualifications, experience and geographic location. Unacast is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, creed, disability, ethnicity, gender identity or expression, marital status, national origin, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by law. Unacast is committed to making the job application process accessible to everyone. If you are living with a disability (visible or not visible), we will provide a reasonable accommodation for any part of the application or hiring process. To request an accommodation in connection with the application or recruiting process, please contact Human Resources at 703-840-8850. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. Unacast participates in the E-Verify program.

Requirements

Must-haves

Perform advanced analysis and produce complex data models, insights, and analytics from our Geo-Signals Cloud (big data) in support of the development of our data products.
Leverage Snowflake for developing efficient data models, optimizing query performance, and ensuring data is structured appropriately for analytical and product use cases.
Develop and optimize complex SQL queries and data transformations in Snowflake, working with large and complex datasets to support analytics and production data products.
Support data improvement and data quality efforts by highlighting and communicating data issues observed when producing data and analytics products.
Develop and apply algorithms to identify patterns, extract information, uncover insights, and solve complex analytical problems from complex and noisy datasets.
5+ years of experience in complex data analysis, data science, or a related quantitative field, with a track record of independently driving complex analytical projects.
Expert SQL skills, including extensive hands-on experience with Snowflake SQL, working with large and complex production datasets and developing efficient queries for data manipulation and extraction.
Strong proficiency in Python and relevant libraries.
Familiarity with cloud computing platforms (e.g., AWS) and big data technologies (e.g., Spark).
You are well versed in Microsoft Excel and analysis in general and are also versed in statistical analysis.
Strong experience with data visualization and analytics tools such as Tableau, Sisense, ArcGIS, CartoDB, QGIS, or other analytics tools.
Excellent communication and presentation skills with fluency in English, with the ability to translate complex data insights into actionable recommendations.
A positive and adaptable attitude, with a collaborative approach to teamwork.
Intellectual curiosity, a passion for problem-solving, and a drive to continuously learn and improve.
... and it is a positive if
You have an understanding of Agile methodologies.
You have experience working with geospatial data.
You've had some exposure to other programming languages (Java, Scala, Kotlin, etc.).
You believe that simple approaches are better than complex, whenever possible.
What we expect of you
Demonstrate a proactive and entrepreneurial mindset.
Contribute to a positive and enjoyable work environment.
We operate like a startup, so things change fast, you need to be agile and proactive.
Personal characteristics we value include: high integrity, entrepreneurial spirit, innovative thinking, team player, passion for technology, adaptability, high energy and attention to detail.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

sqlmachine learningpythonawsagilejavakotlin

Platform: bamboohr
Effort: medium

Benefits

Benefits detected in the listing.

Pto