
Data Scientist
1010data values: 
Integrity: Doing the right things for the right reasons
Agility: Adapting and thriving in a dynamic environment 
Teamwork: Combining our strengths to do amazing things 
Passion: Channeling enthusiasm to drive excellence
Creativity: Unleashing curiosity to defy the norm 
About the role: 
1010data is looking for a Data Scientist to build internal and external data products to solve client-driven business problems. The Data Science team applies our curiosity and passion for data to create insights that help our clients make better decisions. We create timely and sophisticated analyses, build pipeline modules, deploy machine learning models, and implement new techniques to enhance 1010data’s products.
Our modern tech stack builds pipelines using 1010data’s industry-leading big data platform and open-source tools such as Airflow, Spark, and Python to analyze billions of rows of data every day. In this role, you will work closely with data engineers, product leaders, and client-facing teams as you build new capabilities.
What you will take on: 
Use your curiosity and passion for data to answer complex questions over real-world datasets comprised of billions of rows
Conduct statistical analysis, natural language processing (NLP), and integration of massive datasets from multiple sources including exploratory analysis, identifying and correcting for bias, and answering client inquiries
Conduct proof-of-concept studies to evaluate multiple competing models or forecasts to empirically justify your recommendations for action
Learn and use 1010data’s industry-leading big data platform and Macro Language to build and deploy high performance data pipelines
Communicate your findings, visualize results, and demonstrate your models effectively to broad, non-technical audiences
Design, develop, deploy, and support production-critical pipelines and ML models using 1010data Insight Platform and open-source tools such as Airflow and Spark
You will be based in the US and will be comfortable working remotely with the Data Science, Data Quality, Data Engineering, and Account Management teams
This role is not sponsorable 
What you already have: 
Master’s or bachelor's degree in a quantitative or technical field such as Computer Science, Physics, Mathematics, Econometrics, or Engineering. PhD is a plus.
0-3 years professional experience conducting statistical analysis, building production data science models, and creating insights from data at large scale
Curiosity, clarifying questions, a passion for learning new things, and perseverance in the face of uncertainty
Ability to communicate clearly in meetings and written documents, consider options presented by others, and reach a balanced technical opinion  
Understand and communicate the foundations of machine learning methods, their strengths, and their limitations
Proficiency in writing software (Python preferred) to implement data science algorithms, data quality checks, cross-validation, and parameter tuning
Experience working with parallel processing frameworks like Spark and orchestration frameworks like Airflow
Proficiency in database and software engineering best practices such as query design, version control, unit testing, and deployment methods
The expected base salary range for this position is from $55,000 -$70,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, geography, and where applicable, certifications obtained. Market and organizational factors are also considered. In addition to salary and a generous employee benefits package, successful candidates may also be eligible to receive discretionary annual performance bonus compensation.
About 1010data: 
For more than 20 years, 1010data has helped financial, retail and consumer goods customers monitor shifts in consumer demand and market conditions and rapidly respond with highly targeted strategies. The 1010data Insights Platform combines market intelligence, data management, granular enterprise analytics, and collaboration capabilities to empower better business outcomes. More than 900 of the world’s foremost companies’ partner with 1010data to power smarter decisions.  
You can find this on the Company page of 1010data at https://1010data.com/company/  
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. 
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